{"v":1,"builtAt":1784679906545,"total":75,"liveCount":74,"draftCount":1,"benches":[{"slug":"aggregator-head-lag","number":"001","title":"Fastest crypto price API, live head lag across Mobula, Codex, GeckoTerminal","seoTitle":"Fastest crypto price API 2026","seoDescription":"Codex leads fastest crypto price API at 0.9 s (p50, 24h). Mobula WebSocket, Codex GraphQL, GeckoTerminal REST live across Base, BNB, Solana.","seoIntro":"This benchmark measures the question every builder of a trading UI, a\nPnL tracker or a live DEX dashboard has to answer before picking a\ndata provider. how many seconds elapse between a swap landing on\nchain and the same event appearing on the provider's feed. Marketing\npages quote \"real-time\" without a number; this page quotes the\nnumber. Mobula's WebSocket, Codex's GraphQL feed and GeckoTerminal's\nREST endpoint are watched from three regions (us-east, eu-west, sgp)\nagainst canonical-tip archive\nnodes on Base, BNB Chain, Solana and Robinhood Chain. Because each chain has its own\nbase block cadence (Solana's ~400 ms slots vs Base/BNB's 2-3 s\nblocks), the headline winner shifts by chain. On Solana the leader\nis Mobula at 0.1 s; on Base\nit's Codex at 0.9 s; on BNB\nChain it's Mobula at 1.3 s.\np50 and p99 are computed via Prometheus `quantile_over_time` over a\n24-hour window so the leaderboard reflects sustained freshness, not\na cherry-picked cold-start sample. The same harness tracks presence\n(5760 expected samples per provider per day), so a provider whose\nfeed dropped for an hour shows it on the success rate column rather\nthan disappearing silently from the latency aggregate.\n","faq":[{"q":"Which crypto data API has the lowest latency right now?","a":"It depends on the chain, because each chain's base block cadence sets a different floor. On Solana the leader is Mobula at 0.1 s (p50, 24 h). On Base it's Codex at 0.9 s. On BNB Chain it's Mobula at 1.3 s. The unfiltered cross-chain aggregate puts Codex on top at 0.9 s, but that ranking is influenced by chain mix as much as by provider pipeline speed - read the per-chain numbers if you're picking a provider for a specific chain."},{"q":"What is head lag in a crypto data feed?","a":"Head lag is the wall-clock interval between a transaction landing in a confirmed block on chain and the same transaction appearing on the data provider's feed. A provider with 200 ms head lag pushes the event a fifth of a second after it settled; a provider with 6 s head lag pushes it after six seconds. The number controls how live a trading UI, a chart or a PnL tracker actually feels when the underlying chain moves."},{"q":"Is WebSocket faster than REST for crypto market data?","a":"Yes, structurally. A WebSocket connection pushes events the moment the provider's indexer has them, so latency tracks the publisher's indexer speed and the network path. REST polling adds the poll interval to every read: a one-second poll cadence puts a floor of one second on top of whatever the indexer adds. The leaderboard shows the difference live, with Mobula on a WebSocket feed, Codex on GraphQL subscriptions and GeckoTerminal on REST."},{"q":"How fast does GeckoTerminal update prices?","a":"GeckoTerminal currently sits at 13 s (p50, 24 h) head lag on this benchmark. REST endpoints update at the publisher's chosen cadence rather than the moment a swap lands, which is the architectural reason REST polling reads slower than WebSocket feeds for the same underlying chain data."},{"q":"How is head lag measured on OpenChainBench?","a":"The harness holds a live WebSocket subscription to canonical-tip archive nodes on each chain (Base, BNB Chain, Solana, Robinhood Chain). Every new on-chain swap is timestamped on receipt with millisecond precision. The harness then watches each provider's feed for the same event and computes the delta. p50, p90 and p99 are aggregated over 24 hours via Prometheus `quantile_over_time`. Errors and dropouts are tracked separately as a presence ratio so a fast feed that disappears does not silently rank above a slower feed that stays up."},{"q":"Which data provider should I pick for a real-time trading interface?","a":"Read both the p50 and the p99 columns. p50 tells the typical experience, p99 tells the worst minute a user will see when a chain spikes or a region's path degrades. A 500 ms p50 with a 30 s p99 means most of the time the UI feels snappy and once per minute it stutters. The leaderboard splits both, plus the success rate column flags providers whose feed dropped during the measurement window."}],"perChainExplainer":[{"slug":"base","h2":"Lowest Base price feed head lag","body":"Codex currently leads Base head lag at 0.9 s (p50, 24h) across the 3 measured providers. Base targets a 2 s sequencer cadence on the OP Stack, so the chain itself sets a roughly 2 s floor below which no provider can publish: any latency you see beyond that floor is pipeline work (indexer, fan-out, edge). Measured by holding archive-node `eth_subscribe(\"newHeads\")` and timestamping each provider's emission of the same swap event from us-east, eu-west and Singapore.\n"},{"slug":"bnb","h2":"Lowest BNB Chain price feed head lag","body":"Mobula currently leads BNB Chain head lag at 1.3 s (p50, 24h). BNB Smart Chain runs a Parlia PoSA consensus with 21 active validators on a fixed 3 s slot (recently tightened toward 0.75 s under BEP-524 testing), which sets the structural floor for any price-feed provider; the spread between leader and trailer reflects indexer pipeline depth, not chain speed. Cross-region samples taken every 15 seconds.\n"},{"slug":"solana","h2":"Lowest Solana price feed head lag","body":"Mobula currently leads Solana head lag at 0.1 s (p50, 24h). Solana runs a 400 ms slot under Proof of History with confirmed status at typically 1-2 slots, so any second-scale provider latency lives entirely in the indexer pipeline rather than in the chain. Providers that subscribe to Yellowstone gRPC streams of confirmed blocks beat REST-pollers by definition. Measured against a canonical archive node from us-east, eu-west and Singapore.\n"},{"slug":"robinhood","h2":"Lowest Robinhood Chain price feed head lag","body":"Codex currently leads Robinhood Chain head lag at 1.0 s (p50, 24h). Robinhood Chain is an Arbitrum Orbit L2 with sub-second block cadence, so nearly all of the latency you see here is provider pipeline (indexer, fan-out, edge) rather than chain time. It is also the youngest chain on this bench: indexer coverage is uneven across providers, which makes the leader-to-trailer spread wider than on mature chains. Measured on the highest-activity pool (USDG/WETH, about 40k swaps per day) from us-east, eu-west and Singapore.\n"}],"subtitle":"Wall-clock head lag in seconds from on-chain swap event to API emission, measured live for Mobula, Codex and GeckoTerminal on Base, BNB Chain, Solana and Robinhood Chain.","category":"Aggregators","status":"live","editorialStatus":"live","metric":"Head lag","unit":"s","higherIsBetter":false,"abstract":"We measure the gap between a transaction settling on chain and the same\ntransaction appearing on each aggregator's data feed. The harness watches\nreference pools across Base, BNB Chain, Solana and Robinhood Chain from three regions\n(us-east, eu-west, sgp), records every new on-chain event with millisecond\ntimestamps, and observes when each aggregator's WebSocket reflects the\nsame event.\n","methodology":["Aggregators measured: Mobula, Codex, GeckoTerminal.","Chains: Base, BNB Chain, Solana, Robinhood Chain.","Regions: us-east, eu-west, sgp. Cross-region median reported in the headline.","Reference: archive nodes per chain, validated against block hashes.","Metric: gauge `head_lag_seconds`, sampled every 15 seconds. Aggregated over the 24-hour window using `quantile_over_time`.","Success rate: presence ratio. Share of expected sampling slots where a value was actually emitted (5,760 expected per provider per day at the 15s cadence). 100% means the aggregator's feed was reachable for the full window.","Cardinality: 3 aggregators × 4 chains × 3 regions = 36 active series."],"findings":["Across the unfiltered cross-chain aggregate the leader is Codex at 0.9 s (p50, 24 h) over 3 measured providers, but that headline number mixes chains with very different baseline cadences (Solana 400 ms slots vs Base/BNB 2-3 s blocks) so the per-chain breakdown below is what to read for an integration decision.","On Solana the leader is Mobula at 0.1 s (p50, 24 h); the trailer is GeckoTerminal at 15 s. Slot cadence is sub-second, so any second-scale aggregate latency is on the provider's pipeline, not the chain.","On Base the leader is Codex at 0.9 s (p50, 24 h); the trailer is GeckoTerminal at 13 s. Base targets a 2 s block cadence, so head lag here measures pipeline latency on top of the chain's natural block interval.","On BNB Chain the leader is Mobula at 1.3 s (p50, 24 h); the trailer is GeckoTerminal at 11 s. BNB's ~3 s blocks set the floor; the spread between leader and trailer is the provider-side delta.","Mobula returns 1.5 s (p50, 24 h) cross-chain. WebSocket feeds compress latency by pushing events the moment the harness emits them rather than waiting for the next poll cycle, which is the architectural reason real-time integrations prefer them over REST.","Codex clocks 0.9 s (p50, 24 h) cross-chain. GraphQL subscriptions are a server-push pattern in practice and cluster near WebSocket performance on liquid pools, but tail latency tends to widen on long-tail tokens with sparse events.","GeckoTerminal sits at 13 s (p50, 24 h) cross-chain. REST polling adds the poll interval to every read, so head lag tracks the publisher's chosen cadence rather than raw infrastructure speed.","p99 is the integration-grade number. The gap between p50 and 6.1 s / 28 s / 37 s is what a live UI feels when a chain spikes or a region's path degrades."],"source":"https://github.com/ChainBench/OpenChainBench/tree/main/harnesses/aggregator-head-lag","dimensions":{"chain":[{"value":"all","label":"All chains"},{"value":"base","label":"Base"},{"value":"bnb","label":"BNB Chain"},{"value":"solana","label":"Solana"},{"value":"robinhood","label":"Robinhood"}],"region":[{"value":"all","label":"All regions"},{"value":"us-east","label":"US-East"},{"value":"eu-west","label":"EU-West"},{"value":"sgp","label":"Singapore"}]},"results":[{"name":"Mobula","slug":"mobula","tag":"WebSocket feed","ms":{"p50":1532,"p90":2516,"p99":6078,"mean":1770},"successRate":99.9826,"sampleSize":69108,"query":"quantile_over_time(0.50, head_lag_seconds{aggregator=\"mobula\"}[24h]) * 1000","formula":"Median seconds between an on-chain swap landing on Base/BNB/Solana archive nodes and the same event arriving on Mobula's WebSocket, sampled every 15s over 24h.","liveStatus":"healthy","availability":"live","meta":{"observedAt":1784679862836}},{"name":"Codex","slug":"codex","tag":"GraphQL feed","ms":{"p50":915,"p90":1538,"p99":28283,"mean":1755.73},"successRate":99.566,"sampleSize":68513,"query":"quantile_over_time(0.50, head_lag_seconds{aggregator=\"codex\"}[24h]) * 1000","formula":"Median seconds between an on-chain swap landing on Base/BNB/Solana archive nodes and the same event arriving on Codex's GraphQL subscription, sampled every 15s over 24h.","liveStatus":"healthy","availability":"live","meta":{"observedAt":1784679862836}},{"name":"GeckoTerminal","slug":"geckoterminal","tag":"REST feed","ms":{"p50":13302,"p90":23873,"p99":37187,"mean":15058.5},"successRate":99.9826,"sampleSize":69108,"query":"quantile_over_time(0.50, head_lag_seconds{aggregator=\"geckoterminal\"}[24h]) * 1000","formula":"Median seconds between an on-chain swap landing on Base/BNB/Solana archive nodes and the same event surfacing on GeckoTerminal's REST endpoint, 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24h.","liveStatus":"healthy","availability":"live"}},"providersPerChain":{"base":["mobula","codex","geckoterminal"],"bnb":["mobula","codex","geckoterminal"],"solana":["mobula","codex","geckoterminal"],"robinhood":["mobula","codex","geckoterminal"]},"cellRanks":{"base|eu-west":[{"slug":"codex","p50":0.915},{"slug":"mobula","p50":1.532},{"slug":"geckoterminal","p50":13.302}],"base|sgp":[{"slug":"codex","p50":0.908},{"slug":"mobula","p50":1.547},{"slug":"geckoterminal","p50":13.323}],"base|us-east":[{"slug":"codex","p50":0.892},{"slug":"mobula","p50":1.533},{"slug":"geckoterminal","p50":13.258}],"bnb|eu-west":[{"slug":"mobula","p50":1.263},{"slug":"codex","p50":1.406},{"slug":"geckoterminal","p50":10.655}],"bnb|sgp":[{"slug":"mobula","p50":1.259},{"slug":"codex","p50":1.363},{"slug":"geckoterminal","p50":10.635}],"bnb|us-east":[{"slug":"mobula","p50":1.26},{"slug":"codex","p50":1.3765},{"slug":"geckoterminal","p50":10.574}],"robinhood|eu-west":[{"slug":"codex","p50":1.046},{"slug":"mobula","p50":1.069},{"slug":"geckoterminal","p50":11.625}],"robinhood|sgp":[{"slug":"codex","p50":1.035},{"slug":"mobula","p50":1.075},{"slug":"geckoterminal","p50":11.513}],"robinhood|us-east":[{"slug":"codex","p50":1.05},{"slug":"mobula","p50":1.08},{"slug":"geckoterminal","p50":11.292}],"solana|eu-west":[{"slug":"mobula","p50":0.093},{"slug":"codex","p50":0.748},{"slug":"geckoterminal","p50":15.008}],"solana|sgp":[{"slug":"mobula","p50":0.092},{"slug":"codex","p50":0.752},{"slug":"geckoterminal","p50":16.033}],"solana|us-east":[{"slug":"mobula","p50":0.092},{"slug":"codex","p50":0.75},{"slug":"geckoterminal","p50":15.17}],"base|all":[{"slug":"codex","p50":0.9049999999999999},{"slug":"mobula","p50":1.5373333333333334},{"slug":"geckoterminal","p50":13.294333333333332}],"bnb|all":[{"slug":"mobula","p50":1.2606666666666666},{"slug":"codex","p50":1.3818333333333335},{"slug":"geckoterminal","p50":10.621333333333332}],"robinhood|all":[{"slug":"codex","p50":1.0436666666666667},{"slug":"mobula","p50":1.0746666666666667},{"slug":"geckoterminal","p50":11.476666666666667}],"solana|all":[{"slug":"mobula","p50":0.09233333333333334},{"slug":"codex","p50":0.75},{"slug":"geckoterminal","p50":15.403666666666666}],"all|eu-west":[{"slug":"mobula","p50":0.98925},{"slug":"codex","p50":1.02875},{"slug":"geckoterminal","p50":12.6475}],"all|sgp":[{"slug":"mobula","p50":0.9932500000000001},{"slug":"codex","p50":1.0145},{"slug":"geckoterminal","p50":12.876}],"all|us-east":[{"slug":"mobula","p50":0.9912500000000001},{"slug":"codex","p50":1.017125},{"slug":"geckoterminal","p50":12.573500000000001}]},"dataAsOf":1784679862836},{"slug":"bridge-quote-latency","number":"002","title":"Fastest cross-chain bridge quote API, live ms ranking","seoTitle":"Fastest bridge quote API 2026","seoDescription":"Live p50 latency for cross-chain bridge quote APIs. Mobula, deBridge, Relay, LI.FI, Near Intents ranked.","seoIntro":"This benchmark measures how fast each cross-chain bridge quote API\nreturns a usable response, the response-time half of the bridge story\nthat fee tables never quote. Builders integrating a swap or bridge\nflow into a wallet, an aggregator or a chat-app care about the same\nnumber every public roundup ignores. how many milliseconds the API\nburns before the user sees a price. We hammer the same USDC routes\n(Solana, Base, Arbitrum) against every bridge from a single eu-west\npoint, every five minutes, on three notional sizes. p50, p90 and p99\nare computed via Prometheus `histogram_quantile` over the 24-hour\nwindow, so the leaderboard reflects sustained API performance, not a\nlucky cold-start. The same harness records failure mode for every\nrequest (quote_failed, unsupported route, timeout) and keeps it out\nof the latency aggregate, surfacing it as success rate instead so\nthat a fast-but-broken provider cannot game the headline number.\n","faq":[{"q":"Which cross-chain bridge has the lowest API latency?","a":"Mobula currently leads the cross-corridor aggregate at 184 ms (p50, 24 h) across 5 measured bridges, averaged over the 4 USDC routes the harness sweeps. The leaderboard re-sorts every five minutes against fresh Prometheus samples, so the ranking reflects the last 24 hours of actual API performance from a single eu-west origin under the same routes. Per-corridor latency leaders can differ from this aggregate where one provider has a solver pool closer to a specific destination chain, that breakdown is on the roadmap once corridor dimensions are surfaced in the page UI."},{"q":"What is the difference between quote latency and bridge fill time?","a":"Quote latency is the wall-clock time the bridge API takes to return a price. Fill time is the wall-clock time the funds take to land on the destination chain after the user signs. They are decoupled: a bridge can quote in 100 ms and take 30 seconds to settle, or quote in 2 seconds and settle in 5 seconds. This benchmark measures the quote half because that is the part a wallet, an aggregator or an embedded swap UI feels first and tunes its UX around."},{"q":"Why does bridge quote latency matter for builders?","a":"Every product that integrates a bridge sits behind that API. Wallets, aggregators, intent layers, chat-app swap modals. A 1500 ms p99 forces a long loading spinner; a 5000 ms p99 forces a timeout fallback. The number controls perceived UX, time-to-first-quote in side-by-side comparators, and how aggressively the integrator has to parallelise calls across bridges to mask the slowest one."},{"q":"Are intent and relay bridges always faster than aggregators?","a":"On a single-route query, usually. Intent layers like Relay quote against a pool of pre-positioned solvers, so the API is a thin price-discovery call. Aggregators like LI.FI run a route-search graph over N underlying bridges per request, which adds 100 to 400 ms of irreducible work. On multi-hop or rare-corridor queries the aggregator advantage in coverage matters more than the latency gap, and the comparison flips."},{"q":"How does OpenChainBench measure bridge quote latency?","a":"The harness issues identical quote requests against every bridge for the same route and notional, every five minutes, from a single eu-west origin. Each request times wall-clock duration from send to last byte received, then publishes a Prometheus histogram (10, 25, 50, 100, 200, 500, 1000, 2000, 5000, 10000 ms buckets). p50, p90 and p99 are derived via `histogram_quantile` over a rolling 24-hour window. Errored quotes (quote_failed, unsupported route, timeout) are excluded from the latency aggregate and counted toward success rate so a fast-but-broken bridge cannot game the headline."},{"q":"Does quote latency affect the price the user gets?","a":"Indirectly, yes. A slower quote API leaves a larger window between the moment the price is quoted and the moment the user signs. On volatile corridors the underlying spot can drift in that window, which surfaces as a quoted-vs-realized gap. Intent layers compensate by re-quoting at signing time; aggregators usually pass through a slippage parameter. The fee benchmark on this site (`/benchmarks/bridge-fee`) measures the realized cost; this page measures the latency half of the same flow."}],"subtitle":"Time to receive a usable cross-chain quote, in milliseconds. Identical route and identical notional, measured every five minutes across Mobula, deBridge, Relay, LI.FI and Near Intents.","category":"Bridges","status":"live","editorialStatus":"live","metric":"Quote latency","unit":"ms","higherIsBetter":false,"abstract":"We benchmark how long the major bridge APIs take to return a usable\ncross-chain quote (route + fee + estimated settlement time). The harness\ncycles through 4 routes × 3 notional sizes × every supported bridge every\nfive minutes, recording p50, p90 and p99 wall-clock latency along with the\nsuccess rate. Quotes that error or return unsupported responses are\nexcluded from latency aggregates and counted toward success rate.\n","methodology":["Routes: USDC pairs spanning Solana, Base and Arbitrum.","Notional sizes: $5, $50, $300 per quote.","Cadence: full sweep (4 routes × 3 amounts × N bridges) every 5 minutes for 24 hours.","Region: eu-west. Single point of measurement; multi-region requires running additional monitor instances.","Histogram buckets: 10, 25, 50, 100, 200, 500, 1000, 2000, 5000, 10000 ms. Sub-50ms buckets added 2026-07-13 so solver-cached fast paths (Near Intents on HyperCore in particular) surface their true p50 instead of being floored at the interpolation of the (0, 50] bucket.","Failures (quote_failed, execution_failed, unsupported route) excluded from latency aggregates and counted toward success rate."],"findings":["Mobula currently leads the cross-corridor aggregate at 184 ms (p50, 24 h) across 5 measured bridges. The cohort spans direct protocols, aggregators and intent layers under the same query, averaged over the 4 USDC routes the harness sweeps.","Relay returns 936 ms (p50, 24 h). Intent and relay layers usually clock lowest because the API surface is a thin price-discovery call against pre-quoted solvers, not a full route-search graph.","LI.FI sits at 1.54 s (p50, 24 h). Aggregators do more work per call (route search across N underlying bridges, fee normalisation), which costs them a stable 100 to 400 ms versus pure relays.","deBridge clocks 333 ms (p50, 24 h). Direct protocols quote a single canonical route, so latency reflects raw API plumbing rather than route-search complexity.","Tail latency tells the integration story. p99 (4.00 s / 4.83 s / 10.00 s) is what dictates timeouts in production wallets; SDKs that wait for the slowest bridge degrade the whole UX when one provider has a bad minute.","Near Intents trails the cross-corridor aggregate at 2.01 s (p50, 24 h). A 5x gap at p50 turns into a 10 to 20x gap at p99. A bridge that lags overall can still be fastest on a specific corridor where it is closer to its solver pool, that per-corridor breakdown is on the roadmap."],"source":"https://github.com/ChainBench/OpenChainBench/tree/main/harnesses/bridge-monitor","dimensions":{"chain":[{"value":"Base","label":"Sol to Base"},{"value":"Arbitrum","label":"Base to Arb"},{"value":"Solana","label":"Arb to Sol"},{"value":"HyperCore","label":"Arb to HyperCore"}]},"results":[{"name":"Mobula","slug":"mobula","tag":"Aggregator + intent layer","ms":{"p50":184.222,"p90":866.318,"p99":1912.67,"mean":330.384},"successRate":79.9769,"sampleSize":3455.6,"query":"histogram_quantile(0.50, sum by (le) (rate(bridge_quote_latency_ms_bucket{bridge=\"mobula\"}[24h])))","formula":"Median wall-clock ms over 24h for Mobula's quote API to return a usable USDC route, sampled every 5 minutes across 4 routes and 3 notionals from eu-west.","availability":"live","meta":{"observedAt":1784679866963}},{"name":"Relay","slug":"relay","tag":"Cross-chain relay","ms":{"p50":935.586,"p90":1820.73,"p99":3995.14,"mean":1045.31},"successRate":99.9537,"sampleSize":4318.75,"query":"histogram_quantile(0.50, sum by (le) (rate(bridge_quote_latency_ms_bucket{bridge=\"relay\"}[24h])))","formula":"Median wall-clock ms over 24h for Relay's solver-quote API to return a usable USDC route, sampled every 5 minutes across 4 routes and 3 notionals from eu-west.","availability":"live","meta":{"observedAt":1784679866963}},{"name":"LI.FI","slug":"lifi","tag":"Aggregator","ms":{"p50":1535.96,"p90":2644.86,"p99":4825.05,"mean":1517.75},"successRate":100,"sampleSize":4320.75,"query":"histogram_quantile(0.50, sum by (le) (rate(bridge_quote_latency_ms_bucket{bridge=\"lifi\"}[24h])))","formula":"Median wall-clock ms over 24h for LI.FI's route-search API to return a usable USDC route across underlying bridges, sampled every 5 minutes across 4 routes and 3 notionals from eu-west.","availability":"live","meta":{"observedAt":1784679866963}},{"name":"deBridge","slug":"debridge","tag":"Native-token fees","ms":{"p50":332.998,"p90":1067.43,"p99":10000,"mean":688.336},"successRate":99.8857,"sampleSize":3452.6,"query":"histogram_quantile(0.50, sum by (le) (rate(bridge_quote_latency_ms_bucket{bridge=\"debridge\"}[24h])))","formula":"Median wall-clock ms over 24h for deBridge's direct-protocol quote API to return a single-route USDC quote, sampled every 5 minutes across 4 routes and 3 notionals from eu-west.","availability":"live","meta":{"observedAt":1784679866963}},{"name":"Near Intents","slug":"near-intents","tag":"Intent layer (NEAR)","ms":{"p50":2008.72,"p90":4407.33,"p99":4947.01,"mean":1575.67},"successRate":99.54570000000001,"sampleSize":1719.3,"query":"histogram_quantile(0.50, sum by (le) (rate(bridge_quote_latency_ms_bucket{bridge=\"near-intents\"}[24h])))","formula":"Median wall-clock ms over 24h for Near Intents 1Click API to return a usable USDC quote via the solver auction bus, sampled every 5 minutes across the supported routes and 3 notionals from eu-west.","availability":"live","meta":{"observedAt":1784679866963}}],"extras":{"series24h":{"mobula":[184.058,194.915,218.182,258.333,268.571,231.034,186.364,170.833,161.333,161.765,162.329,163.014,168.354,170.667,170.667,165.333,168.421,169.737,174.667,169.737,165.854,161.765,169.512,170.886,170.513,164.881,165.432,165.476,166.447,166.463,169.481,169.048,173.418,173.718,176.667,176.282,176.282,175,176.389,175.641,174.675,175.926,179.221,176.829,170.122,170.253,171.429,181.746,182.09,180.822,176.25,175.342,187.302,287.097,354.545,388.571,320,275,269.231,286.538,305.556,339.655,321.875,306.452,321.875,381.034,350,290,223.438,260,244.118,250,218.75],"relay":[897.959,926.136,941.86,938.202,923.077,913.043,906.25,913.265,920.792,935.484,948.276,966.463,975.309,965.517,941.011,931.579,919.355,917.526,914.894,922.872,912.234,923.913,939.56,945.055,931.579,922.68,910,916.667,910.714,930.108,920.33,912.921,896.739,909.884,916.667,925.287,937.5,952.128,956.989,961.111,963.068,974.138,971.91,969.101,945.055,925.532,922.68,925.258,942.105,965.909,972.222,951.087,927.835,920,932.99,930.693,956.044,985.294,977.011,961.957,946.809,942.708,953.297,959.302,954.023,932.065,916.667,914.894,925.824,929.348,930.108,927.419,934.783],"lifi":[1500,1506.76,1489.66,1489.8,1510.2,1526.67,1496.45,1468.09,1489.36,1523.49,1547.3,1570.92,1551.72,1552.45,1537.16,1579.71,1584.51,1565.52,1516.34,1493.42,1493.33,1506.76,1563.38,1580.42,1563.38,1503.45,1514.29,1549.65,1567.38,1562.94,1572.46,1585.11,1577.7,1547.77,1538.46,1529.03,1543.92,1549.02,1565.79,1571.43,1571.92,1588.65,1600,1586.21,1567.38,1585.27,1586.47,1590.58,1574.32,1554.79,1528.17,1500,1480.62,1500,1533.78,1571.9,1573.33,1554.05,1544.52,1548.61,1564.19,1551.02,1517.12,1493.06,1479.73,1503.31,1533.33,1523.18,1534.48,1493.06,1481.2,1438.93,1438.46],"debridge":[321.622,320.833,305,285.417,269.718,281.818,274.026,292,319.231,351.807,359.036,357.792,351.923,355.625,348.101,341.892,307.463,285.714,271.429,282.609,292.308,320.732,325,335.366,337.349,353.488,356.977,331.481,328.289,341.781,365.584,357.229,337.349,327.5,333.333,363.636,359.091,348,330.588,338.202,350,358.824,354.839,348.352,353.261,353.659,351.807,337.349,337.349,344.706,346.591,342.857,361.111,367.532,381.481,353.488,346.591,343.182,337.647,325.926,303.846,295.833,295.833,300,308.333,314.085,302.857,300,309.091,319.277,329.63,342.105,370.833],"near-intents":[500,500,200,200,200,200,500,500,500,2041.67,2083.33,2041.67,500,500,2041.67,500,500,500,500,100,93.75,2042.86,175,200,200,2083.33,500,2041.67,2125,2125,2283.78,2121.62,2040.54,2041.67,2166.67,2166.67,200,200,1000,1000,2083.33,2083.33,2041.67,2041.67,2083.33,2083.33,200,2042.86,200,2125,2125,2250,2125,2041.67,2083.33,100,170,200,2041.67,200,150,100,2041.67,2083.33,2125,2125,100,200,150,200,200,2041.67,100]},"series7d":{"mobula":[404.255,315.179,252.174,320,344.545,332,263.462,403.125,505.102,372.826,339.773,379.412,318.868,317.647,292.857,268.182,290.789,291.667,271.739,400,336.364,361.321,397.222,400,242.453,307.547,226.667,298.936,255.814,271.429,327.66,493.182,393.421,414.286,275,289.362,258.537,232.432,260,338.679,245.652,371.429,282.653,338.462,325,258.333,194.03,228.125,184.507,240,192.424,192.063,190.476,195.238,190.909,187.143,186.301,174.615,172.973,173.418,189.063,165.06,165.584,173.171,167.105,180,173.077,173.78,174.359,248.214,181.618,192.857,184.058,186.364,168.354,174.667,170.513,169.481,176.282,179.221,182.09,354.545,305.556,350,218.75],"relay":[961.538,899.485,938.889,936.869,927.419,950.549,949.438,927.419,907.5,940.104,978.659,964.706,899.533,882.353,908.879,961.957,991.176,1102.56,965.909,1304.69,959.184,979.412,967.647,945.652,973.837,950,944.118,928.977,904.321,904.494,923.529,933.333,970,960.366,949.438,988.095,1071.43,989.865,916.667,940.476,875,855.932,892.857,930.108,904.04,887.85,985.294,1029.07,913.043,893.75,931.038,901.163,923.529,888.889,910.256,917.526,918.478,909.794,906.977,946.023,948.864,936.17,942.771,954.023,916.667,890.807,939.024,901.596,943.75,955.056,1006.49,921.348,897.959,906.25,975.309,914.894,931.579,920.33,937.5,971.91,942.105,932.99,946.809,916.667,934.783],"lifi":[1486.3,1403.1,1464.54,1500,1510.79,1488.89,1539.06,1459.56,1484.5,1404,1492.91,1537.88,1386.37,1252.21,1271.19,1347.11,1538.76,1496.18,1557.14,1474.64,1484.5,1436,1456.83,1522.22,1455.22,1385.83,1476.19,1466.91,1430.23,1503.57,1456.95,1500,1523.65,1462.84,1455.88,1517.24,1496.06,1486.67,1496.73,1544.83,1562.09,1543.05,1583.33,1571.9,1557.05,1538.96,1574.32,1542.86,1506.85,1531.65,1567.57,1568.18,1541.4,1555.56,1581.08,1525.64,1608.11,1565.79,1602.74,1576.39,1524.14,1510.49,1558.82,1610.29,1572.37,1569.44,1626.87,1560.71,1558.62,1559.03,1506.9,1540.74,1500,1496.45,1551.72,1516.34,1563.38,1572.46,1543.92,1600,1574.32,1533.78,1564.19,1533.33,1438.46],"debridge":[325,321.324,320,320,329.63,383.582,328.289,375.385,380.469,418.182,392.537,376.351,383.051,338.312,398.113,340,454.237,342.105,409.524,440,356.522,391.667,412.069,311.486,384.615,324.39,365,406.557,347.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+ intent layer","ms":{"p50":131.042,"p90":328.148,"p99":2135,"mean":198.808},"successRate":50,"sampleSize":864.15,"query":"histogram_quantile(0.50, sum by (le) (rate(bridge_quote_latency_ms_bucket{bridge=\"mobula\",chain=\"Base\"}[24h])))","formula":"Median wall-clock ms over 24h for Mobula's quote API to return a usable USDC route, sampled every 5 minutes across 4 routes and 3 notionals from eu-west.","availability":"live"},"Arbitrum":{"name":"Mobula","slug":"mobula","tag":"Aggregator + intent layer","ms":{"p50":162.562,"p90":428.987,"p99":1545,"mean":221.76},"successRate":100,"sampleSize":864.15,"query":"histogram_quantile(0.50, sum by (le) (rate(bridge_quote_latency_ms_bucket{bridge=\"mobula\",chain=\"Arbitrum\"}[24h])))","formula":"Median wall-clock ms over 24h for Mobula's quote API to return a usable USDC route, sampled every 5 minutes across 4 routes and 3 notionals from eu-west.","availability":"live"},"Solana":{"name":"Mobula","slug":"mobula","tag":"Aggregator + intent layer","ms":{"p50":173.534,"p90":460.226,"p99":1925.91,"mean":266.357},"successRate":99.88430000000001,"sampleSize":863.15,"query":"histogram_quantile(0.50, sum by (le) (rate(bridge_quote_latency_ms_bucket{bridge=\"mobula\",chain=\"Solana\"}[24h])))","formula":"Median wall-clock ms over 24h for Mobula's quote API to return a usable USDC route, sampled every 5 minutes across 4 routes and 3 notionals from eu-west.","availability":"live"},"HyperCore":{"name":"Near Intents","slug":"near-intents","tag":"Intent layer (NEAR)","ms":{"p50":39.8925,"p90":78.6264,"p99":347.545,"mean":72.4486},"successRate":99.5081,"sampleSize":859.149,"query":"histogram_quantile(0.50, sum by (le) (rate(bridge_quote_latency_ms_bucket{bridge=\"near-intents\",chain=\"HyperCore\"}[24h])))","formula":"Median wall-clock ms over 24h for Near Intents 1Click API to return a usable USDC quote via the solver auction bus, sampled every 5 minutes across the supported routes and 3 notionals from eu-west.","availability":"live"}},"worstPerChain":{"Base":{"name":"Near Intents","slug":"near-intents","tag":"Intent layer (NEAR)","ms":{"p50":3501.75,"p90":4703.14,"p99":4973.46,"mean":3077.14},"successRate":99.5833,"sampleSize":860.149,"query":"histogram_quantile(0.50, sum by (le) (rate(bridge_quote_latency_ms_bucket{bridge=\"near-intents\",chain=\"Base\"}[24h])))","formula":"Median wall-clock ms over 24h for Near Intents 1Click API to return a usable USDC quote via the solver auction bus, sampled every 5 minutes across the supported routes and 3 notionals from eu-west.","availability":"live"},"Arbitrum":{"name":"LI.FI","slug":"lifi","tag":"Aggregator","ms":{"p50":1568.92,"p90":2725.45,"p99":4846.18,"mean":1546.89},"successRate":100,"sampleSize":864.15,"query":"histogram_quantile(0.50, sum by (le) (rate(bridge_quote_latency_ms_bucket{bridge=\"lifi\",chain=\"Arbitrum\"}[24h])))","formula":"Median wall-clock ms over 24h for LI.FI's route-search API to return a usable USDC route across underlying bridges, sampled every 5 minutes across 4 routes and 3 notionals from eu-west.","availability":"live"},"Solana":{"name":"LI.FI","slug":"lifi","tag":"Aggregator","ms":{"p50":1590.97,"p90":3067.18,"p99":4847.94,"mean":1490.68},"successRate":100,"sampleSize":864.15,"query":"histogram_quantile(0.50, sum by (le) (rate(bridge_quote_latency_ms_bucket{bridge=\"lifi\",chain=\"Solana\"}[24h])))","formula":"Median wall-clock ms over 24h for LI.FI's route-search API to return a usable USDC route across underlying bridges, sampled every 5 minutes across 4 routes and 3 notionals from eu-west.","availability":"live"},"HyperCore":{"name":"LI.FI","slug":"lifi","tag":"Aggregator","ms":{"p50":1527.82,"p90":3320.81,"p99":4886.44,"mean":1617.03},"successRate":100,"sampleSize":864.15,"query":"histogram_quantile(0.50, sum by (le) (rate(bridge_quote_latency_ms_bucket{bridge=\"lifi\",chain=\"HyperCore\"}[24h])))","formula":"Median wall-clock ms over 24h for LI.FI's route-search API to return a usable USDC route across underlying bridges, sampled every 5 minutes across 4 routes and 3 notionals from eu-west.","availability":"live"}},"providersPerChain":{"Base":["mobula","relay","lifi","debridge","near-intents"],"Arbitrum":["mobula","relay","lifi","debridge"],"Solana":["mobula","relay","lifi","debridge"],"HyperCore":["mobula","relay","lifi","near-intents"]},"dataAsOf":1784679866963},{"slug":"bridge-fee","number":"003","title":"Cheapest cross-chain bridge for USDC at $300 notional","seoTitle":"Cheapest cross-chain bridge 2026","seoDescription":"Cheapest cross-chain bridge for USDC at $300. Total cost (fees, slippage, gas) across Across, deBridge, LI.FI, Mobula, Relay, Near Intents.","seoIntro":"This benchmark measures the cheapest cross-chain bridge live, refreshed\nevery five minutes across the major USDC corridors. The headline figure\nis total cost (fees plus slippage plus destination gas) expressed as a\npercent of trade size, not the explicit fee field most providers\nadvertise. Bridge fee tables in the wild quote $1000 or $10000\nnotionals, where fixed costs are diluted into the percentage. We sample\nat $300, the size where small-trade dynamics actually dominate. Gas\neats a larger share, intent spreads compress, aggregator markups\nbecome visible. The leaderboard sorts by p50 over 24 hours, so a\nsingle favourable quote cannot crown a winner. Below the table the\nsame providers split into three pricing architectures (intent,\naggregator, direct protocol) because each absorbs cost differently\nand they do not converge under the same query.\n","faq":[{"q":"What is the cheapest cross-chain bridge right now?","a":"Near Intents currently leads the cross-corridor aggregate at 0.057% (p50, 24 h) for $300 USDC trades, averaged across the Solana/Base/Arbitrum corridors the harness sweeps. The leaderboard re-sorts every five minutes against fresh Prometheus samples, so the answer is anchored to the last 24 hours of live data rather than a frozen table from a blog post. Per-corridor leaders can diverge from this aggregate when a solver has deep inventory on one specific route and not on others, that breakdown is on the roadmap once corridor dimensions are surfaced in the page UI."},{"q":"How much does it cost to bridge $300 USDC?","a":"Total cost varies between providers. The current p50 across 6 bridges spans from 0.057% (leader) up to 0.92% (laggard) of the $300 notional. The figure already includes fees, slippage and destination gas because we report `bridge_cost_percent`, the all-in number that actually leaves the user's wallet, not the explicit fee field providers advertise."},{"q":"Why do bridge fees vary 10x between providers?","a":"Three pricing architectures cohabit in this leaderboard. Direct protocols (deBridge) charge a native-token fee front-loaded into the quote. Aggregators (LI.FI) pay an underlying bridge plus a thin markup. Intent and relay layers (Mobula, Relay, Across, Near Intents) compress all of it into a single spread quoted on a settlement intent or an optimistic fill. On small trades the fixed-fee component dominates and the gap stretches, on large trades the spread component dominates and the leaderboard re-orders."},{"q":"Are bridge aggregators cheaper than direct bridges?","a":"Not consistently. Aggregators route through whichever underlying bridge is cheapest at quote time, but they add a markup on top and their best route is constrained to the bridges they have integrated. Intent layers can route to any solver willing to settle the intent, including aggregators themselves. On liquid USDC corridors intent layers usually lead this leaderboard, but aggregators win when a corridor has only one underlying bridge and that bridge is cheaper than every solver's quote."},{"q":"Is it cheaper to bridge small or large amounts?","a":"Large amounts, in percentage terms. Part of every bridge quote is fixed (destination gas, base protocol fee), so at $300 the fixed component is the dominant share of the cost, while at $1000 or $10000 it dilutes into the percentage and the leaderboard re-orders. That is also why published bridge fee tables sampled at $10000 understate what retail users pay. The harness records $5, $50, $300, $1000 and $10000 buckets; this report surfaces $300 because the small-trade regime is where intent layers compress costs hardest, aggregator markups become visible, and most real transfers happen."},{"q":"Why does the cheapest bridge change throughout the day?","a":"Solver competition is the main driver. Intent layers like Mobula and Relay rank quotes from a rotating set of solvers whose inventory and risk appetite shift with destination-chain volatility and time of day. When Solana gas spikes or an L2 sees a deposit cluster, solvers reprice, and the leaderboard re-orders. The 5-minute scrape cadence catches these moves; the 24-hour p50 smooths them so the headline number reflects sustained competitiveness rather than a single favourable quote."}],"subtitle":"Total cost as a percent of notional, fees plus slippage plus destination gas combined, sampled at $300 USDC across Solana, Base and Arbitrum corridors.","category":"Bridges","status":"live","editorialStatus":"live","metric":"Effective fee","unit":"pct","higherIsBetter":false,"abstract":"We measure the effective fee each bridge charges, the bottom-line cost\na user pays (fees plus slippage plus destination gas) as a percentage\nof trade size. The harness uses Prometheus gauge `bridge_cost_percent`\nrather than the narrower `bridge_fees_percent` because providers\nstructure pricing differently. Some charge an explicit fee, others\nbake it into the spread. Comparing only the explicit fee field would\nlet aggregators with implicit pricing show a misleading 0%. Sampled\nat $300 notional so small-amount fixed-fee blowups don't skew the\npercentile aggregates.\n","methodology":["Routes: USDC pairs spanning Solana, Base and Arbitrum.","Reference notional: $300 USDC. Smaller sizes ($5, $50) are captured by the harness but excluded from this report.","Cost: `bridge_cost_percent{amount_usd=\"300\"}`, in percent of notional. Includes fees + slippage + destination gas.","Cadence: full sweep every 5 minutes for 24 hours.","Aggregation: the headline number is the average of per-corridor 24h medians over the corridors a provider actually quotes. The TRUMP to BRETT calibration route is excluded. Near Intents has no USDT legs, so its aggregate covers the Solana to Base and Arbitrum to HyperCore corridors only. deBridge does not quote the Arbitrum to HyperCore corridor, so its aggregate covers the remaining three. Across also skips Arbitrum to HyperCore, so its aggregate covers the same three corridors as deBridge.","Normalization: cost is quoted USD in minus quoted USD delivered, the same all-in definition for every provider. Near Intents bundles the destination chain withdrawal fee into its quoted amountOut (the 1Click API documents withdrawFee as already deducted), so no extra gas term is added on top.","Region: eu-west. Single point of measurement; multi-region requires running additional monitor instances.","Failures (quote_failed, unsupported route) excluded from cost aggregates and counted toward success rate.","Provider types are surfaced as badges: direct protocols (deBridge) charge their own bridging fees; aggregators (LI.FI) route through whichever underlying bridge is cheapest, so their effective fee includes that bridge's cost plus any aggregator markup; intent / relay layers (Mobula, Relay, Across, Near Intents) bake cost into the spread of a settlement intent or optimistic fill rather than charging an explicit fee.","Excluded by design: Stargate, because its keyless quote endpoint was deprecated in favor of a key-gated LayerZero API, and its on-chain quoteOFT path is same-asset EVM-only, which matches none of this bench's corridors. CCTP, because Circle's burn/mint has no quote that returns a delivered amount; standard transfers mint 1:1 and the whole cost is user-paid gas we would have to estimate ourselves, which breaks the quoted USD in minus quoted USD delivered definition used for every other row."],"findings":["Near Intents currently leads the cross-corridor aggregate at 0.057% (p50, 24 h) for $300 USDC trades, across 6 measured bridges. The number averages over the Solana/Base/Arbitrum corridors the harness sweeps; per-corridor leaders can diverge sharply on routes where one solver has inventory and another does not.","Mobula returns 0.24% (p50, 24 h). Intent layers compress fees, slippage and destination gas into a single spread, so the effective number reads lower than aggregators that route through a paid underlying bridge.","LI.FI sits at 0.40% (p50, 24 h). Aggregators pay the underlying bridge plus a thin markup, so their effective cost trails intent layers on liquid corridors where multiple solvers compete on the same route.","deBridge clocks 0.92% (p50, 24 h). Direct protocols front-load cost into a native-token fee, which dominates on $300 trades because the fixed component does not scale with notional.","Across posts 0.13% (p50, 24 h). Optimistic relayer fills price mostly relayer capital plus destination gas, so the number stays tight on same-asset USDC corridors and widens on the cross-asset USDT legs, where the quote wraps a DEX swap around the bridge and swap impact enters the all-in cost.","deBridge trails the cross-corridor aggregate at 0.92% (p50, 24 h). On a $300 trade the gap between leader and laggard is mostly the fixed-fee floor of the slower path, not relative spread efficiency, and the laggard on one corridor can be the leader on another once corridor dimensions are surfaced."],"source":"https://github.com/ChainBench/OpenChainBench/tree/main/harnesses/bridge-monitor","dimensions":{"chain":[{"value":"Base","label":"Sol to Base"},{"value":"Arbitrum","label":"Base to Arb"},{"value":"Solana","label":"Arb to Sol"},{"value":"HyperCore","label":"Arb to HyperCore"}]},"results":[{"name":"Mobula","slug":"mobula","tag":"Aggregator + intent layer","type":"intent","ms":{"p50":0.235292,"p90":0.238758,"p99":0.245392,"mean":0.234072},"successRate":100,"sampleSize":23040,"query":"avg(quantile_over_time(0.50, bridge_cost_percent{bridge=\"mobula\", amount_usd=\"300\", from_token!=\"6p6xgHyF7AeE6TZkSmFsko444wqoP15icUSqi2jfGiPN\"}[24h]))","formula":"Per-corridor 24h median of total cost percent (fees + slippage + destination gas) on a $300 USDC quote from Mobula's intent layer, averaged across corridors. Sampled every 5 minutes from eu-west.","availability":"live","meta":{"observedAt":1784679864128}},{"name":"Relay","slug":"relay","tag":"Cross-chain relay","type":"relay","ms":{"p50":0.135223,"p90":0.142091,"p99":0.160265,"mean":0.13594},"successRate":100,"sampleSize":23040,"query":"avg(quantile_over_time(0.50, bridge_cost_percent{bridge=\"relay\", amount_usd=\"300\", from_token!=\"6p6xgHyF7AeE6TZkSmFsko444wqoP15icUSqi2jfGiPN\"}[24h]))","formula":"Per-corridor 24h median of total cost percent (fees + slippage + destination gas) on a $300 USDC quote from Relay's API, averaged across corridors. Sampled every 5 minutes from eu-west.","availability":"live","meta":{"observedAt":1784679864128}},{"name":"LI.FI","slug":"lifi","tag":"Aggregator","type":"aggregator","ms":{"p50":0.399342,"p90":0.661808,"p99":0.838117,"mean":0.426175},"successRate":100,"sampleSize":23040,"query":"avg(quantile_over_time(0.50, bridge_cost_percent{bridge=\"lifi\", amount_usd=\"300\", from_token!=\"6p6xgHyF7AeE6TZkSmFsko444wqoP15icUSqi2jfGiPN\"}[24h]))","formula":"Per-corridor 24h median of total cost percent (underlying bridge fee + slippage + destination gas + LI.FI markup) on a $300 USDC quote, averaged across corridors. Sampled every 5 minutes from eu-west.","availability":"live","meta":{"observedAt":1784679864128}},{"name":"deBridge","slug":"debridge","tag":"Native-token fees","type":"protocol","ms":{"p50":0.920323,"p90":0.927842,"p99":0.932677,"mean":0.921099},"successRate":99.89,"sampleSize":17280,"query":"avg(quantile_over_time(0.50, bridge_cost_percent{bridge=\"debridge\", amount_usd=\"300\", from_token!=\"6p6xgHyF7AeE6TZkSmFsko444wqoP15icUSqi2jfGiPN\"}[24h]))","formula":"Per-corridor 24h median of total cost percent (native-token protocol fee + slippage + destination gas) on a $300 USDC quote from deBridge's direct API, averaged across corridors. Sampled every 5 minutes from eu-west.","availability":"live","meta":{"observedAt":1784679864128}},{"name":"Across","slug":"across","tag":"Optimistic relay","type":"intent","ms":{"p50":0.128256,"p90":0.131811,"p99":0.135367,"mean":0.128153},"successRate":66.6667,"sampleSize":17280,"query":"avg(quantile_over_time(0.50, bridge_cost_percent{bridge=\"across\", amount_usd=\"300\", from_token!=\"6p6xgHyF7AeE6TZkSmFsko444wqoP15icUSqi2jfGiPN\"}[24h]))","formula":"Per-corridor 24h median of total cost percent on a $300 USDC quote from the keyless Across Swap API, averaged across corridors. The provider-computed USD fee total nets relayer capital, LP fee, destination gas and swap impact.","availability":"live","meta":{"observedAt":1784679864128}},{"name":"Near Intents","slug":"near-intents","tag":"Intent layer (NEAR)","type":"intent","ms":{"p50":0.057123,"p90":0.0571257,"p99":0.0580468,"mean":0.0571443},"successRate":99.592,"sampleSize":11520,"query":"avg(quantile_over_time(0.50, bridge_cost_percent{bridge=\"near-intents\", amount_usd=\"300\", from_token!=\"6p6xgHyF7AeE6TZkSmFsko444wqoP15icUSqi2jfGiPN\"}[24h]))","formula":"Per-corridor 24h median of total cost percent on a $300 USDC quote from the Near Intents 1Click API, averaged across corridors. The quoted amountOut already nets out solver spread, bridge fee and destination withdrawal 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Sampled every 5 minutes from eu-west.","availability":"live"},"Solana":{"name":"Across","slug":"across","tag":"Optimistic relay","type":"intent","ms":{"p50":0.0208333,"p90":0.0208333,"p99":0.0208333,"mean":0.0208333},"successRate":0,"sampleSize":5760,"query":"avg(quantile_over_time(0.50, bridge_cost_percent{bridge=\"across\", amount_usd=\"300\", from_token!=\"6p6xgHyF7AeE6TZkSmFsko444wqoP15icUSqi2jfGiPN\",chain=\"Solana\"}[24h]))","formula":"Per-corridor 24h median of total cost percent on a $300 USDC quote from the keyless Across Swap API, averaged across corridors. 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The quoted amountOut already nets out solver spread, bridge fee and destination withdrawal fee.","availability":"live"}},"worstPerChain":{"Base":{"name":"deBridge","slug":"debridge","tag":"Native-token fees","type":"protocol","ms":{"p50":0.761759,"p90":0.765011,"p99":0.766426,"mean":0.762021},"successRate":99.67009999999999,"sampleSize":5760,"query":"avg(quantile_over_time(0.50, bridge_cost_percent{bridge=\"debridge\", amount_usd=\"300\", from_token!=\"6p6xgHyF7AeE6TZkSmFsko444wqoP15icUSqi2jfGiPN\",chain=\"Base\"}[24h]))","formula":"Per-corridor 24h median of total cost percent (native-token protocol fee + slippage + destination gas) on a $300 USDC quote from deBridge's direct API, averaged across corridors. Sampled every 5 minutes from eu-west.","availability":"live"},"Arbitrum":{"name":"deBridge","slug":"debridge","tag":"Native-token fees","type":"protocol","ms":{"p50":0.887698,"p90":0.893319,"p99":0.900948,"mean":0.889494},"successRate":100,"sampleSize":5760,"query":"avg(quantile_over_time(0.50, bridge_cost_percent{bridge=\"debridge\", amount_usd=\"300\", from_token!=\"6p6xgHyF7AeE6TZkSmFsko444wqoP15icUSqi2jfGiPN\",chain=\"Arbitrum\"}[24h]))","formula":"Per-corridor 24h median of total cost percent (native-token protocol fee + slippage + destination gas) on a $300 USDC quote from deBridge's direct API, averaged across corridors. Sampled every 5 minutes from eu-west.","availability":"live"},"Solana":{"name":"deBridge","slug":"debridge","tag":"Native-token fees","type":"protocol","ms":{"p50":1.11151,"p90":1.1252,"p99":1.13066,"mean":1.11178},"successRate":100,"sampleSize":5760,"query":"avg(quantile_over_time(0.50, bridge_cost_percent{bridge=\"debridge\", amount_usd=\"300\", from_token!=\"6p6xgHyF7AeE6TZkSmFsko444wqoP15icUSqi2jfGiPN\",chain=\"Solana\"}[24h]))","formula":"Per-corridor 24h median of total cost percent (native-token protocol fee + slippage + destination gas) on a $300 USDC quote from deBridge's direct API, averaged across corridors. Sampled every 5 minutes from eu-west.","availability":"live"},"HyperCore":{"name":"LI.FI","slug":"lifi","tag":"Aggregator","type":"aggregator","ms":{"p50":0.5724,"p90":0.768067,"p99":0.9025,"mean":0.549579},"successRate":100,"sampleSize":5760,"query":"avg(quantile_over_time(0.50, bridge_cost_percent{bridge=\"lifi\", amount_usd=\"300\", from_token!=\"6p6xgHyF7AeE6TZkSmFsko444wqoP15icUSqi2jfGiPN\",chain=\"HyperCore\"}[24h]))","formula":"Per-corridor 24h median of total cost percent (underlying bridge fee + slippage + destination gas + LI.FI markup) on a $300 USDC quote, averaged across corridors. Sampled every 5 minutes from eu-west.","availability":"live"}},"providersPerChain":{"Base":["mobula","relay","lifi","debridge","across","near-intents"],"Arbitrum":["mobula","relay","lifi","debridge","across"],"Solana":["mobula","relay","lifi","debridge","across"],"HyperCore":["mobula","relay","lifi","near-intents"]},"dataAsOf":1784679864128},{"slug":"metadata-coverage","number":"004","title":"Best crypto data API for token metadata, live across Mobula, Codex, Jupiter","seoTitle":"Best crypto token metadata API 2026","seoDescription":"Best crypto data API for token metadata live: share of logo, description, twitter populated within minutes of mint.","seoIntro":"This benchmark measures the gap every wallet, portfolio tracker and\nDEX terminal hits within a few minutes of a memecoin launch. when a\ntoken is two minutes old, how much of its metadata does each\naggregator actually return. Logo, description, twitter, website. The\nfour fields a UI needs to render a tradeable card instead of a\ncontract address and a question mark. Aggregator marketing pages\nquote \"37M tokens indexed\" or \"real-time coverage\", but the moment a\npump.fun or Four.meme token clears its bonding curve the gap between\nproviders becomes visible to end users. The harness watches new\nlaunches on Solana, BNB Chain and Base via Mobula Pulse V2, then\nasks Mobula, Codex and Jupiter (Solana only) for the same token and\nrecords which fields came back populated. Because Jupiter is\nSolana-only by construction, the leaderboard is read per chain\nrather than as a cross-chain aggregate that mechanically favours\nthe chain-restricted provider. On Solana the current leader is\nMobula at 61.1%; on BNB\nChain it is Codex at 85.1%.\nCoverage is the share of field checks that returned a value,\ncomputed as a rolling rate so the leaderboard reflects what the\nAPI is doing this hour, not what its catalogue claims to hold.\n","faq":[{"q":"Which token metadata API has the best coverage for fresh launches?","a":"The leaderboard is read per chain because one provider (Jupiter) is Solana-only and would mechanically dominate an unfiltered cross-chain aggregate. On Solana, Mobula currently leads at 61.1% (p50, 24 h). On BNB Chain, Codex leads at 85.1% (p50, 24 h). The benchmark targets the hardest case for any aggregator, tokens minted in the last few minutes on Solana, BNB or Base launchpads (pump.fun, Four.meme, Meteora DBC, Raydium CPMM and others), where catalogue size matters less than how fast the indexer reads off-chain metadata."},{"q":"What does 'metadata coverage' actually measure?","a":"For every freshly-launched token the harness asks each provider for that token's metadata and records whether four canonical fields came back populated. Logo, description, twitter, website. Coverage is the share of those field checks that returned a value, summed across providers, chains and fields, then expressed as a percentage. A provider with 80% coverage returns four-fifths of the requested fields on average for fresh tokens; a provider with 50% leaves half the fields blank."},{"q":"Why do fresh tokens have low metadata coverage everywhere?","a":"Most fresh tokens are minted by a launchpad with on-chain metadata that contains name, symbol, decimals, and sometimes a logo URI, but rarely a twitter or website out of the box. Aggregators have to pull the rest from off-chain sources (the launchpad's metadata server, the token creator's social profiles, in-protocol IPFS pins). Providers that hook directly into the launchpad's mint flow recover more fields than providers that wait for a curator to backfill them, which is the architectural reason coverage on fresh launches separates the leaderboard."},{"q":"Does Jupiter cover BNB Chain or Base tokens?","a":"No. Jupiter is Solana-only by design, so it appears with zero coverage on EVM chains by construction. The cross-chain headline value excludes Jupiter on chains it does not support so the comparison stays fair. On Solana Jupiter sits at {{p50:jupiter}} (p50, 24 h) on this benchmark."},{"q":"How does OpenChainBench discover fresh tokens to test?","a":"The harness subscribes to Mobula Pulse V2's WebSocket on Solana, BNB Chain and Base, scoped to known launchpads (pump.fun, Meteora DBC, Four.meme, Raydium CPMM, Zora, BaseApp, Bags, Moonshot). Every new mint triggers a metadata check on each provider in scope, and the result is recorded into Prometheus counters. Steady-state runs several hundred checks per provider per hour, which is the sample density that gives the percentile aggregates statistical meaning."},{"q":"Why use a rolling rate instead of a single number for coverage?","a":"Coverage drifts during the day. A launchpad releases dozens of tokens in a minute then quiets down, and provider coverage on the fast-launch burst is different from coverage during the lull. We use `quantile_over_time` on a one-hour rolling rate, sampled over 24 hours, so the headline is p50 of the hourly coverage rate rather than a flat average. The same shape as a latency benchmark, applied to a coverage ratio."}],"perChainExplainer":[{"slug":"solana","h2":"Best Solana token metadata coverage","body":"Mobula currently leads Solana token metadata coverage at 61.1% (p50 of hourly rate, 24h) across 3 providers including Solana-native Jupiter. Coverage measures the share of (logo, description, twitter, website) field checks that return a populated value on tokens within minutes of mint, sampled via Mobula Pulse V2 on pump.fun, Meteora DBC, Raydium CPMM and Moonshot launchpads. The Solana memecoin volume creates the hardest indexer load in the bench.\n"},{"slug":"bnb","h2":"BNB Chain token metadata coverage","body":"Codex currently leads BNB Chain token metadata coverage at 85.1% (p50 of hourly rate, 24h). BNB is the cleaner read on indexer quality because Jupiter does not cover EVM, so the matchup is decided between Mobula and Codex on the same footing on Four.meme and PancakeSwap launches. Coverage tests the same four canonical fields (logo, description, twitter, website) on tokens within minutes of mint, queried through each provider's metadata endpoint.\n"}],"subtitle":"Share of metadata fields (logo, description, twitter, website) populated for fresh-launch tokens, audited every launch on Solana, BNB and Base.","category":"Aggregators","status":"live","editorialStatus":"live","metric":"Field coverage","unit":"pct","higherIsBetter":true,"abstract":"We benchmark how complete each aggregator's token-metadata response is for\nfreshly-launched tokens. The harness subscribes to Mobula Pulse V2 for new\ntokens on Solana, BNB Chain and Base, then asks each aggregator (Mobula,\nCodex, Jupiter where the chain is supported) for that token's metadata and\nrecords whether four canonical fields (`logo`, `description`, `twitter`,\n`website`) were returned. The aggregate is the share of (provider,\nchain, field) combinations that returned a populated value across all\nfresh-token checks in the window.\n\nA value of 100% means every field was returned for every fresh token; a\nvalue of 50% means half the fields were missing on average. Sort order on\nthis page is descending, so the highest coverage shows first, which is the\ninverse of latency benchmarks. Readers should compare the columns\nthemselves; numerical p50 is the headline.\n","methodology":["Token discovery: Mobula Pulse V2 WebSocket on `solana`, `evm:56` (BNB), `evm:8453` (Base) for known launchpads (pump.fun, Meteora DBC, Four.meme, Raydium CPMM, Zora, BaseApp, Bags, Moonshot).","Coverage check: for each fresh token, query each aggregator's metadata endpoint and record whether `logo`, `description`, `twitter` and `website` are populated.","Aggregators in scope: Mobula (`/api/2/token/details`), Codex (GraphQL `token` query, JWT-authenticated), Jupiter (`/v6/tokens/<mint>`, Solana only).","Cadence: queue-driven; every newly-discovered token is checked once across the three aggregators. Steady-state ≈ several hundred checks per provider per hour.","Region: single probe origin (one monitor instance on our infrastructure). The bench intentionally declares no region dimension; multi-region would require additional monitor instances and is not currently planned.","Ratio: `metadata_coverage_success_total / metadata_coverage_checks_total`, expressed in percent. Failures of the metadata API itself (timeouts, 5xx) are not counted in the denominator. only successful responses with the field check applied.","Jupiter is Solana-only. it appears with zero coverage on EVM chains by construction; the cross-chain headline excludes Jupiter on chains it does not support."],"findings":["On Solana, Mobula leads metadata coverage at 61.1% (p50, 24 h). The number is the share of (logo, description, twitter, website) field checks that returned a populated value on freshly-launched Solana tokens.","On BNB Chain, Codex leads at 85.1% (p50, 24 h). BNB is the cleaner read on indexer quality across providers because Jupiter does not index EVM, so the leaderboard is decided between Mobula and Codex on the same footing.","Mobula returns 65.7% (p50, 24 h) on the unfiltered aggregate. Coverage on fresh tokens reflects how aggressively the provider's indexer pulls launchpad-side metadata at mint time rather than waiting for a curator to add it later.","Codex clocks 64.9% (p50, 24 h) on the unfiltered aggregate. GraphQL `token` queries return a richer schema by design, so coverage is high on tokens that survive their first hour and lower on fresh launches still missing socials.","{{name:jupiter}} sits at {{p50:jupiter}} (p50, 24 h). Jupiter is Solana-only by design, so its number reflects Solana coverage exclusively, the cross-chain aggregate is not comparable to multi-chain providers and is reported per chain instead.","Coverage drops sharply on the first hour after a launch. p99 (72.6% / 72.3% / {{p99:jupiter}}) is what a trading UI sees during a launch burst when dozens of new tokens land in the same minute.","Codex trails on Solana at 59.6% (p50, 24 h). A 30-point gap on the leaderboard means roughly one in three field renders falls back to a placeholder when displaying a fresh-launch token."],"source":"https://github.com/ChainBench/OpenChainBench/tree/main/harnesses/metadata-coverage","dimensions":{"chain":[{"value":"solana","label":"Solana"},{"value":"bnb","label":"BNB Chain"}]},"results":[{"name":"Mobula","slug":"mobula","tag":"REST `/token/details`","ms":{"p50":65.7203,"p90":69.5007,"p99":72.5536,"mean":65.5696},"successRate":100,"sampleSize":90043.6,"query":"quantile_over_time(0.50, (100 * sum(rate(metadata_coverage_success_total{provider=\"mobula\"}[1h])) / sum(rate(metadata_coverage_checks_total{provider=\"mobula\"}[1h])))[24h:1h])","formula":"Median of hourly coverage rate (populated logo/description/twitter/website fields divided by total field checks) on Mobula `/token/details` for fresh tokens, p50 over 24h.","availability":"live","meta":{"observedAt":1784679879693}},{"name":"Codex","slug":"codex","tag":"GraphQL `token` query","ms":{"p50":64.8828,"p90":67.8537,"p99":72.2979,"mean":64.6166},"successRate":100,"sampleSize":90043.6,"query":"quantile_over_time(0.50, (100 * sum(rate(metadata_coverage_success_total{provider=\"codex\"}[1h])) / sum(rate(metadata_coverage_checks_total{provider=\"codex\"}[1h])))[24h:1h])","formula":"Median of hourly coverage rate (populated logo/description/twitter/website fields divided by total field checks) on Codex GraphQL `token` query for fresh tokens, p50 over 24h.","availability":"live","meta":{"observedAt":1784679879693}},{"name":"Jupiter","slug":"jupiter","tag":"REST `/v6/tokens` (Solana)","ms":{"p50":0,"p90":25,"p99":25,"mean":6.75325},"successRate":100,"sampleSize":71696.4,"query":"quantile_over_time(0.50, (100 * sum(rate(metadata_coverage_success_total{provider=\"jupiter\"}[1h])) / sum(rate(metadata_coverage_checks_total{provider=\"jupiter\"}[1h])))[24h:1h])","formula":"Median of hourly coverage rate (populated logo/description/twitter/website fields divided by total field checks) on Jupiter `/v6/tokens` for fresh Solana mints, p50 over 24h.","availability":"live","meta":{"observedAt":1784679879693}}],"extras":{"series24h":{"mobula":[62.1019,63.1257,63.9479,63.0712,65.0958,65.2174,62.9915,58.9798,59.448,61.2261,64.6607,63.6532,62.1413,59.867,59.5807,60.2816,61.9136,63.8326,63.5316,65.3165,65.836,69.5011,69.3938,69.662,66.3987,65.1499,66.2834,68.4562,70.2355,69.7861,69.5722,67.8342,66.5501,65.8306,66.8015,68.4069,70.5328,73.1163,73.629,72.4462,69.0924,66.4339,67.2026,67.8992,69.3998,68.3208,67.3469,65.4506,65.4506,67.2479,68.1525,67.3761,66.1099,65.7597,66.4871,64.9784,64.3858,62.9709,62.6075,61.6398,60.9291,60.3921,60.7411,64.4427,66.0772,66.3987,62.2318,62.1912,63.4512,66.2111,66.4163,67.0333,66.2822],"codex":[61.2792,61.8743,62.779,62.0616,64.7497,64.9523,62.6196,58.5813,59.0234,61.2527,64.4486,64.1039,62.1679,60.1596,59.6072,60.4942,62.1535,63.9925,63.5316,65.1824,65.6116,69.105,68.5622,67.838,64.4427,62.9283,64.8663,66.9338,68.8437,68.0749,67.8877,65.9358,65.662,64.9676,66.8824,68.2992,70.2368,72.9548,73.5753,72.8226,68.7433,65.8432,66.3987,67.3365,68.6763,67.7575,66.783,65.0483,64.8337,66.5773,67.7497,67.1336,65.5981,64.8168,65.2478,63.7931,63.0927,61.2217,60.9409,60.0538,59.3817,58.4049,58.4586,62.3794,63.3976,63.7996,59.4957,59.6463,61.1468,64.4695,64.8337,65.2256,64.3509],"jupiter":[25,25,25,25,25,25,25,25,25,25,25,25,25,25,25,25,25,25,25,19.6299,11.7874,1.70648,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]},"series7d":{"mobula":[57.6695,59.2524,62.3711,68.9516,69.0594,75,65.625,68.75,63.0658,66.3889,56.3559,60.4839,63.8554,60.255,59.3434,66.0714,70.2083,57.2917,70.9091,62.128,65.6519,64.6013,61.6649,60.441,61.5548,67.1474,64.4989,57.5693,62.1269,66.4453,64.2058,67.7618,66.0753,65.1613,57.6262,62.4731,56.8109,61.2714,62.8219,62.5808,67.8228,68.4281,65.5108,66.5863,63.2212,58.2447,59.8291,61.2714,63.6752,61.0278,63.3547,65.1748,62.6193,67.2405,65.9405,68.2462,67.5785,60.2909,60.6481,57.8092,61.7304,64.3964,60.39,60.5334,69.4712,68.984,65.7866,66.47,62.956,66.7471,60.266,59.103,62.1019,62.9915,62.1413,63.5316,66.3987,69.5722,70.5328,67.2026,65.4506,66.4871,60.9291,62.2318,66.2822],"codex":[54.817,57.5557,61.3402,64.1129,65.099,70.4268,58.2386,62.5,61.6255,66.8056,54.9435,58.0645,58.5843,59.458,59.0909,66.0714,30.4167,56.25,68.6364,63.1324,64.7899,63.6853,58.2705,58.7938,60.3568,65.4647,61.6613,56.9829,61.4606,66.7641,63.5928,66.4797,65.4839,64.8816,56.7669,61.6935,56.0897,60.4434,62.2854,62.7694,67.5293,68.8305,65.2151,65.7457,63.7821,57.6596,58.8942,60.2831,63.515,62.045,62.6068,65.2542,62.7784,67.7436,64.8512,67.5109,67.7411,58.5129,60.6209,58.0224,60.9076,64.4498,58.9476,58.028,70.5929,68.7968,64.0086,65.4238,61.4002,65.9164,59.3883,57.8556,61.2792,62.6196,62.1679,63.5316,64.4427,67.8877,70.2368,66.3987,64.8337,65.2478,59.3817,59.4957,64.3509],"jupiter":[25,25,25,25,25,25,25,25,25,25,24.1124,24.4186,25,24.9129,24.4048,25,25,25,25,24.5763,24.7776,25,24.9432,25,24.9706,25,25,25,25,25,25,25,24.9088,24.9399,25,25,24.9717,25,24.9658,24.9307,25,25,25,25,25,25,24.9706,25,25,24.9404,25,24.9691,25,25,24.9656,25,25,24.9693,24.9708,24.9421,24.9427,24.9695,25,25,25,25,24.915,25,24.965,24.9691,24.9395,24.971,25,25,25,25,0,0,0,0,0,0,0,0,0]},"series30d":{"mobula":[58.8235,62.4023,61.7839,60.7236,55.6025,66.5249,62.345,63.2236,60.1862,63.4982,63.1138,62.1477,60.1955,60.5293,63.9821,65.0559,62.5564,67.9563,66.4989,66.178,56.5483,64.9573,57.5725,69.9682,64.1979,67.6518,63.8889,67.0528,64.0542,66.1265,62.84,68.3635,63.4081,61.8896,64.2516,67.5647,61.3248,63.2449,61.5646,null,60.2468,65.1652,64.3087,68.0749,58.7607,71.4324,57.6695,65.625,63.8554,70.9091,61.5548,64.2058,56.8109,65.5108,63.6752,65.9405,61.7304,65.7866,62.1019,70.5328,66.2822],"codex":[57.9843,58.5938,61.1328,59.7458,57.6295,65.3345,60.8512,60.6697,57.7596,0,61.1049,59.301,57.5698,59.5439,61.3255,61.0335,61.5102,65.7968,62.6324,65.8316,56.1241,63.5417,55.1826,68.2998,62.5401,65.565,61.8056,65.7866,61.9554,64.4415,59.0588,65.7516,60.2297,59.2357,60.7219,62.1767,57.5053,60.9697,0,null,56.8133,62.42,60.0214,67.1123,54.4605,69.5362,54.817,58.2386,58.5843,68.6364,60.3568,63.5928,56.0897,65.2151,63.515,64.8512,60.9076,64.0086,61.2792,70.2368,64.3509],"jupiter":[24.7917,23.8437,24.7187,24.6324,24.878,24.8214,24.8815,24.5085,24.642,24.8944,24.8242,24.858,25,24.9685,24.9403,24.7638,25,25,24.9416,24.9647,24.9153,25,25,25,25,24.9347,24.9393,24.9174,24.9712,25,24.9713,24.8319,24.913,24.8679,25,25,25,24.5146,25,null,24.9119,25,25,25,24.9433,24.9618,25,25,25,25,24.9706,25,24.9717,25,25,24.9656,24.9427,24.915,25,0,0]},"regions":{}},"sampleSize":251783.6,"lastRunAt":"2026-07-22T00:24:30.201Z","bestPerChain":{"solana":{"name":"Mobula","slug":"mobula","tag":"REST `/token/details`","ms":{"p50":61.1058,"p90":65.0175,"p99":65.398,"mean":60.9528},"successRate":100,"sampleSize":71692.4,"query":"quantile_over_time(0.50, (100 * sum(rate(metadata_coverage_success_total{provider=\"mobula\",chain=\"solana\"}[1h])) / sum(rate(metadata_coverage_checks_total{provider=\"mobula\",chain=\"solana\"}[1h])))[24h:1h])","formula":"Median of hourly coverage rate (populated logo/description/twitter/website fields divided by total field checks) on Mobula `/token/details` for fresh tokens, p50 over 24h.","availability":"live"},"bnb":{"name":"Codex","slug":"codex","tag":"GraphQL `token` query","ms":{"p50":85.1154,"p90":92.8377,"p99":94.506,"mean":84.9575},"successRate":100,"sampleSize":18351.2,"query":"quantile_over_time(0.50, (100 * sum(rate(metadata_coverage_success_total{provider=\"codex\",chain=\"bnb\"}[1h])) / sum(rate(metadata_coverage_checks_total{provider=\"codex\",chain=\"bnb\"}[1h])))[24h:1h])","formula":"Median of hourly coverage rate (populated logo/description/twitter/website fields divided by total field checks) on Codex GraphQL `token` query for fresh tokens, p50 over 24h.","availability":"live"}},"worstPerChain":{"solana":{"name":"Codex","slug":"codex","tag":"GraphQL `token` query","ms":{"p50":59.6444,"p90":63.5077,"p99":64.0332,"mean":59.4099},"successRate":100,"sampleSize":71692.4,"query":"quantile_over_time(0.50, (100 * sum(rate(metadata_coverage_success_total{provider=\"codex\",chain=\"solana\"}[1h])) / sum(rate(metadata_coverage_checks_total{provider=\"codex\",chain=\"solana\"}[1h])))[24h:1h])","formula":"Median of hourly coverage rate (populated logo/description/twitter/website fields divided by total field checks) on Codex GraphQL `token` query for fresh tokens, p50 over 24h.","availability":"live"},"bnb":{"name":"Mobula","slug":"mobula","tag":"REST `/token/details`","ms":{"p50":83.8632,"p90":92.1974,"p99":93.9563,"mean":83.6058},"successRate":100,"sampleSize":18351.2,"query":"quantile_over_time(0.50, (100 * sum(rate(metadata_coverage_success_total{provider=\"mobula\",chain=\"bnb\"}[1h])) / sum(rate(metadata_coverage_checks_total{provider=\"mobula\",chain=\"bnb\"}[1h])))[24h:1h])","formula":"Median of hourly coverage rate (populated logo/description/twitter/website fields divided by total field checks) on Mobula `/token/details` for fresh tokens, p50 over 24h.","availability":"live"}},"providersPerChain":{"solana":["mobula","codex"],"bnb":["mobula","codex"]},"cellRanks":{"bnb|all":[{"slug":"codex","p50":0.8495748855461085},{"slug":"mobula","p50":0.8360584259864835}],"solana|all":[{"slug":"mobula","p50":0.6095284598214286},{"slug":"codex","p50":0.5940987723214286},{"slug":"jupiter","p50":0.2701300150661235}]},"dataAsOf":1784679879693},{"slug":"network-coverage","number":"005","title":"Crypto data API with most blockchains supported, live coverage ranking","seoTitle":"Crypto data API most chains 2026","seoDescription":"Which crypto data API supports the most blockchains? Live coverage ranking across CoinPaprika, GeckoTerminal, Mobula, Dune and every major aggregator.","seoIntro":"This benchmark counts how many blockchains each major onchain data\nAPI officially supports, audited live from each provider's own\n\"supported networks\" endpoint every six hours. The number is what a\nbuilder integrating an SDK actually cares about. how many chains can\nI query without rolling my own indexer. Provider marketing pages\nquote round numbers (250+, 100+, 50+ chains) without a list a reader\ncan verify; this benchmark reads the list from the API itself and\npublishes the unique-chain count, refreshed against the source of\ntruth. Mainnets only. Testnets are excluded because providers list\nthem inconsistently and a builder shipping to production needs the\nmainnet count, not a longer list inflated with chains nobody trades\non. Coverage breadth is one dimension of a data API's product; head\nlag and metadata completeness sit on separate benches (№ 001 and\n№ 004) so a provider strong on raw count can be checked against the\nquality dimensions too.\n","faq":[{"q":"Which crypto data API supports the most blockchains?","a":"CoinPaprika currently leads at 306 mainnets across 5 measured providers. The count is read every six hours directly from each provider's own supported-networks endpoint and deduplicated by chain id, so the leaderboard reflects what each API actually publishes as queryable, not a claim from a marketing page."},{"q":"Does Mobula support more chains than CoinGecko's GeckoTerminal?","a":"On this benchmark Mobula returns 80 mainnets and GeckoTerminal returns 251 mainnets. The two have different coverage philosophies. Mobula indexes EVM, Solana, Bitcoin and a long tail of non-EVM chains under a single API. GeckoTerminal grows alongside CoinGecko's DEX rollout, which is deep on the major chains and slower on niche L2s."},{"q":"Why doesn't this benchmark include testnets?","a":"Testnet listings are inconsistent across providers. Some list every devnet the engineering team ever spun up, others list none. Mainnets are what a builder shipping to production actually integrates against, so the comparison is restricted to mainnets only. The harness reads the full network list from each API and filters server-side."},{"q":"Is having more chains supported always better?","a":"Breadth and depth are independent dimensions. A provider with 200 chains might only index price ticks on most of them and full DEX swap history on a dozen. A provider with 60 chains might cover every chain end-to-end (pools, swaps, holders, metadata). Use this benchmark for the breadth question; head lag (bench № 001) and metadata coverage (bench № 004) answer the depth question. A serious integration decision reads all three."},{"q":"How often is the network count refreshed?","a":"Every six hours. The harness hits each provider's supported-networks endpoint, parses the response, deduplicates by chain id and updates the Prometheus gauge `networks_supported_total{provider}`. Failures (network errors, rate limits, auth errors) leave the previous count in place and increment a `fetch_errors_total` counter, so a temporary outage does not silently drop a provider off the leaderboard."},{"q":"What counts as a 'mainnet' in this benchmark?","a":"Any chain a provider lists as a queryable production environment, identified by a unique chain id. Ethereum mainnet, Solana mainnet, Base, Arbitrum, BNB Chain, Bitcoin and so on each count once regardless of how the provider labels them internally. Bridged variants of a token on different chains are not the same chain. The chain id is the deduplication key."}],"subtitle":"Number of blockchains each major crypto data API officially supports, audited every six hours against each provider's public network endpoint.","category":"Aggregators","status":"live","editorialStatus":"live","metric":"Networks supported","unit":"count","higherIsBetter":true,"abstract":"We benchmark how many networks each major onchain data provider lists\nin its public \"supported networks\" endpoint. The harness fetches the\nofficial listing every six hours from six providers (GeckoTerminal,\nCodex, Mobula, CoinPaprika, CoinStats and Dune via Sim API),\ndeduplicates by chain id and counts. Mainnet only,\ntestnets are excluded because providers list them inconsistently and\nthe comparison is meant to reflect what a builder can integrate against\nin production. Coverage breadth is one dimension of a data provider's\nproduct, not a ranking on quality. Latency, freshness and metadata\ncompleteness are measured separately by benches № 001 and № 004.\n","methodology":["Source: each provider's public supported-networks endpoint.","GeckoTerminal: GET /api/v2/networks (paginated, no auth).","Codex: GraphQL `getNetworks` query at https://graph.codex.io/graphql with an official API key.","Mobula: GET /api/1/blockchains with an Authorization API key.","CoinPaprika: GET /v1/contracts (no auth). Lists platforms supported for contract lookup.","CoinStats: GET /wallet/blockchains with X-API-KEY.","Dune (via Sim API): GET https://api.sim.dune.com/v1/evm/supported-chains (no auth). EVM only, mainnets filtered via the `mainnet` tag.","Cadence: full refresh every 6 hours.","Counting: a provider's network is counted once per unique chain id; mainnet only.","Failures (network errors, rate limits, auth errors) leave the previous count in place and increment a fetch_errors counter. the page falls back to its last successful sample."],"findings":["CoinPaprika currently leads at 306 mainnets across 5 measured providers. The count is read live from each provider's own networks endpoint and deduplicated by chain id, so the number reflects what is queryable through the API today, not what marketing pages claim.","Mobula returns 80 mainnets. The breadth includes long-tail EVM L2s, Solana, Bitcoin and non-EVM chains, which is the coverage shape an aggregator pursues when the product is a single API across the full multichain surface.","Codex clocks 121 mainnets. Defined.fi historically prioritises depth on EVM and Solana DEX coverage rather than breadth across niche chains, which surfaces here as a tighter count with stronger per-chain DEX data than a raw breadth ranking implies.","GeckoTerminal sits at 251 mainnets. GeckoTerminal indexes wherever CoinGecko already tracks tokens, so the count tracks closely with CoinGecko's DEX coverage rollout rather than a standalone listing decision.","Raw chain count is one dimension of a data API's product. A provider with 200 chains and shallow per-chain depth can rank above one with 80 chains and full DEX, metadata and event coverage on each. Latency (bench № 001) and metadata completeness (bench № 004) measure the other dimensions."],"source":"https://github.com/ChainBench/OpenChainBench/tree/main/harnesses/network-coverage","results":[{"name":"GeckoTerminal","slug":"geckoterminal","tag":"CoinGecko's DEX index","ms":{"p50":251,"p90":251,"p99":251,"mean":251},"successRate":100,"sampleSize":251,"query":"networks_supported_total{provider=\"geckoterminal\"}","formula":"Count of unique mainnet chain ids returned by GeckoTerminal's `/api/v2/networks` paginated endpoint, refreshed every 6 hours.","availability":"live","meta":{"observedAt":1784679881028}},{"name":"Codex","slug":"codex","tag":"Defined.fi data API","ms":{"p50":121,"p90":121,"p99":121,"mean":121},"successRate":100,"sampleSize":121,"query":"networks_supported_total{provider=\"codex\"}","formula":"Count of unique mainnet chain ids returned by Codex's GraphQL `getNetworks` query, refreshed every 6 hours.","availability":"live","meta":{"observedAt":1784679881028}},{"name":"Mobula","slug":"mobula","tag":"Aggregator + intent layer","ms":{"p50":80,"p90":80,"p99":80,"mean":80},"successRate":100,"sampleSize":80,"query":"networks_supported_total{provider=\"mobula\"}","formula":"Count of unique mainnet chain ids returned by Mobula's `/api/1/blockchains` endpoint, refreshed every 6 hours.","availability":"live","meta":{"observedAt":1784679881028}},{"name":"CoinPaprika","slug":"coinpaprika","tag":"Market data API","ms":{"p50":306,"p90":306,"p99":306,"mean":306},"successRate":100,"sampleSize":306,"query":"networks_supported_total{provider=\"coinpaprika\"}","formula":"Count of platform slugs returned by CoinPaprika's public `/v1/contracts` endpoint, refreshed every 6 hours.","availability":"live","meta":{"observedAt":1784679881028}},{"name":"Dune","slug":"dune","tag":"Onchain analytics + Sim API","ms":{"p50":64,"p90":64,"p99":64,"mean":64},"successRate":100,"sampleSize":64,"query":"networks_supported_total{provider=\"dune\"}","formula":"Count of EVM chains tagged `mainnet` in Sim by Dune's `/v1/evm/supported-chains` endpoint, refreshed every 6 hours. EVM-only.","availability":"live","meta":{"observedAt":1784679881028}},{"name":"CoinStats","slug":"coinstats","tag":"Portfolio + market data","ms":{"p50":0,"p90":0,"p99":0,"mean":0},"successRate":0,"availability":"unavailable","formula":"Count of blockchains returned by CoinStats's `/wallet/blockchains` endpoint, refreshed every 6 hours.","meta":{"observedAt":1784679881028}}],"extras":{"series24h":{"geckoterminal":[252,252,252,252,252,252,252,252,252,252,252,252,252,252,252,252,252,252,252,252,252,252,252,252,252,252,252,252,252,252,252,252,252,252,252,251,251,251,251,251,251,251,251,251,251,251,251,251,251,251,251,251,251,251,251,251,251,251,251,251,251,251,251,251,251,251,251,251,251,251,251,251,251],"codex":[121,121,121,121,121,121,121,121,121,121,121,121,121,121,121,121,121,121,121,121,121,121,121,121,121,121,121,121,121,121,121,121,121,121,121,121,121,121,121,121,121,121,121,121,121,121,121,121,121,121,121,121,121,121,121,121,121,121,121,121,121,121,121,121,121,121,121,121,121,121,121,121,121],"mobula":[80,80,80,80,80,80,80,80,80,80,80,80,80,80,80,80,80,80,80,80,80,80,80,80,80,80,80,80,80,80,80,80,80,80,80,80,80,80,80,80,80,80,80,80,80,80,80,80,80,80,80,80,80,80,80,80,80,80,80,80,80,80,80,80,80,80,80,80,80,80,80,80,80],"coinpaprika":[306,306,306,306,306,306,306,306,306,306,306,306,306,306,306,306,306,306,306,306,306,306,306,306,306,306,306,306,306,306,306,306,306,306,306,306,306,306,306,306,306,306,306,306,306,306,306,306,306,306,306,306,306,306,306,306,306,306,306,306,306,306,306,306,306,306,306,306,306,306,306,306,306],"dune":[64,64,64,64,64,64,64,64,64,64,64,64,64,64,64,64,64,64,64,64,64,64,64,64,64,64,64,64,64,64,64,64,64,64,64,64,64,64,64,64,64,64,64,64,64,64,64,64,64,64,64,64,64,64,64,64,64,64,64,64,64,64,64,64,64,64,64,64,64,64,64,64,64]},"series7d":{"geckoterminal":[267,267,267,267,267,267,267,267,267,267,267,267,267,267,267,267,267,267,267,267,267,267,267,267,267,267,267,267,267,267,253,253,253,253,253,253,253,253,253,253,253,253,253,253,253,253,253,253,253,253,253,253,253,253,253,253,253,252,252,252,252,252,252,252,252,252,252,252,252,252,252,252,252,252,252,252,252,252,251,251,251,251,251,251,251],"codex":[121,121,121,121,121,121,121,121,121,121,121,121,121,121,121,121,121,121,121,121,121,121,121,121,121,121,121,121,121,121,121,121,121,121,121,121,121,121,121,121,121,121,121,121,121,121,121,121,121,121,121,121,121,121,121,121,121,121,121,121,121,121,121,121,121,121,121,121,121,121,121,121,121,121,121,121,121,121,121,121,121,121,121,121,121],"mobula":[80,80,80,80,80,80,80,80,80,80,80,80,80,80,80,80,80,80,80,80,80,80,80,80,80,80,80,80,80,80,80,80,80,80,80,80,80,80,80,80,80,80,80,80,80,80,80,80,80,80,80,80,80,80,80,80,80,80,80,80,80,80,80,80,80,80,80,80,80,80,80,80,80,80,80,80,80,80,80,80,80,80,80,80,80],"coinpaprika":[306,306,306,306,306,306,306,306,306,306,306,306,306,306,306,306,306,306,306,306,306,306,306,306,306,306,306,306,306,306,306,306,306,306,306,306,306,306,306,306,306,306,306,306,306,306,306,306,306,306,306,306,306,306,306,306,306,306,306,306,306,306,306,306,306,306,306,306,306,306,306,306,306,306,306,306,306,306,306,306,306,306,306,306,306],"dune":[64,64,64,64,64,64,64,64,64,64,64,64,64,64,64,64,64,64,64,64,64,64,64,64,64,64,64,64,64,64,64,64,64,64,64,64,64,64,64,64,64,64,64,64,64,64,64,64,64,64,64,64,64,64,64,64,64,64,64,64,64,64,64,64,64,64,64,64,64,64,64,64,64,64,64,64,64,64,64,64,64,64,64,64,64]},"series30d":{"geckoterminal":[265,265,265,261,261,261,261,261,261,261,261,261,261,261,261,263,263,263,263,263,264,264,264,265,265,265,265,265,265,266,266,266,266,266,266,267,267,267,267,267,267,267,267,267,267,267,267,267,267,267,267,253,253,253,253,253,252,252,252,251,251],"codex":[120,120,120,120,120,120,120,120,120,120,120,120,120,120,120,120,120,120,120,120,121,121,121,121,121,121,121,121,121,121,121,121,121,121,121,121,121,121,121,121,121,121,121,121,121,121,121,121,121,121,121,121,121,121,121,121,121,121,121,121,121],"mobula":[79,79,79,79,79,79,79,79,79,79,79,79,79,79,79,79,79,79,79,79,79,79,79,79,79,79,79,79,79,79,79,79,79,79,79,79,79,79,79,79,79,79,79,79,79,79,80,80,80,80,80,80,80,80,80,80,80,80,80,80,80],"coinpaprika":[306,306,306,306,306,306,306,306,306,306,306,306,306,306,306,306,306,306,306,306,306,306,306,306,306,306,306,306,306,306,306,306,306,306,306,306,306,306,306,306,306,306,306,306,306,306,306,306,306,306,306,306,306,306,306,306,306,306,306,306,306],"dune":[64,64,64,64,64,64,64,64,64,64,64,64,64,64,64,64,64,64,64,64,64,64,64,64,64,64,64,64,64,64,64,64,64,64,64,64,64,64,64,64,64,64,64,64,64,64,64,64,64,64,64,64,64,64,64,64,64,64,64,64,64]},"regions":{}},"sampleSize":822,"lastRunAt":"2026-07-22T00:24:39.480Z","dataAsOf":1784679881028},{"slug":"l1-finality","number":"006","title":"Fastest L1 blockchain finality, live across 11 chains","seoTitle":"Fastest L1 finality 2026","seoDescription":"Fastest L1 blockchain finality measured live across 11 chains: Gram, SUI, Hedera, Stellar, Solana, Ethereum, Bitcoin and more. Real times, not whitepaper claims.","seoIntro":"This page measures L1 finality time live for every major Layer-1 blockchain, with p50 / p90 / p99 refreshed every 10 seconds. Stellar finality time is ~5 seconds, the close interval the Stellar Consensus Protocol locks in via federated Byzantine agreement. Solana finality time goes from sub-second on the processed commitment to ~12.8 s on finalized after 32 confirmed slots. Ethereum finality time is about 12.8 minutes in the ideal case, the 2-epoch Casper FFG window; observed wall-clock finality runs longer, and the table below shows the live measurement. Hedera finality time clears in 3-5 seconds via Hashgraph aBFT. SUI finality time and Gram finality time (formerly TON) both sit under one second via Mysticeti DAG-BFT and BAG consensus. BNB and Avalanche finality time land near two seconds through fast-finality forks. Probabilistic chains (Bitcoin, Litecoin, Monero) settle on a confirmation-depth convention measured here in minutes. Bitcoin finality time is roughly one hour at the industry-standard 6 confirmations; the protocol itself never reaches absolute finality.\n","faq":[{"q":"What is blockchain finality?","a":"Blockchain finality is the point at which a confirmed transaction cannot be reversed without breaking the protocol's security assumptions. Two finality models exist. Deterministic finality (Ethereum Casper FFG, Stellar SCP, Hedera Hashgraph) reaches an explicit consensus commitment that the network treats as irreversible. Probabilistic finality (Bitcoin, Litecoin, Monero, Cardano) leaves a non-zero reorg probability that decreases exponentially with confirmation depth. This benchmark measures the wall-clock time each chain needs to reach its native finality threshold."},{"q":"Probabilistic vs deterministic finality, what is the difference?","a":"Deterministic finality is a binary state. A block is either finalized or it is not, and finalized blocks cannot be reorganized. Probabilistic finality is a confidence curve: a block becomes more final with each confirmation that builds on top of it. Exchanges set a convention (Bitcoin 6, Litecoin 6, Monero 10, Cardano 15) past which they treat funds as settled, but the protocol itself never declares strict finality. This benchmark uses each chain's native convention rather than imposing a uniform depth across all chains."},{"q":"What is Ethereum finality time?","a":"Ethereum finality time measured live on this page is 15.9 min (p50, 24h). Casper FFG finalizes a checkpoint two epochs after it is justified, where each epoch is 32 slots of 12 seconds, about 12.8 minutes in the ideal case. Observed wall-clock finality runs longer because a block lands mid-epoch and waits before the two-epoch countdown starts. The live table above shows the measured value. The benchmark polls eth_getBlockByNumber(\"latest\") and eth_getBlockByNumber(\"finalized\") every 10 seconds and reports the timestamp delta."},{"q":"What is Solana finality time?","a":"Solana exposes two commitments. Processed is optimistic and lands sub-second, typically under 500 ms. Finalized requires 32 confirmed slots and clocks 14 s (24h average). The leaderboard value is finalized, the stricter guarantee. Sub-second Solana finality is real but only at the processed commitment level, not finalized."},{"q":"What is SUI finality time?","a":"SUI clocks 0.5 s (p50, 24h) on this benchmark via the Mysticeti DAG-BFT consensus protocol. The chain exposes millisecond-precision timestamps so the measurement is genuinely sub-second. Mysticeti's two-vote commitment pattern reaches deterministic finality without the multi-block confirmation depth used by classical Byzantine fault tolerant chains."},{"q":"What is Gram finality time?","a":"Gram's BAG consensus (the network formerly branded TON, with native token renamed Toncoin → Gram in June 2026) pushes masterchain finality to 0.4 s (p50, 24h), one of the lowest deterministic finalities measured on this leaderboard. Gram's design splits state across a masterchain and many workchains. The figure here is the masterchain commit, the canonical reference for cross-chain settlement."},{"q":"What is Stellar finality time?","a":"Stellar uses the Stellar Consensus Protocol, a federated Byzantine agreement that reaches deterministic finality at every ledger close, roughly every 5 seconds, no probabilistic confirmation needed. p50 sits at 7.1 s (24h). The benchmark records wall-clock time between a new ledger appearing on the Horizon stream and its SCP-final commit."},{"q":"What is Hedera finality time?","a":"Hedera finality time is documented at 3 to 5 seconds via Hashgraph asynchronous Byzantine fault tolerant (aBFT) consensus. The mirror node only exposes already-final blocks, so true wall-clock measurement of consensus lag is currently impossible from public endpoints. We re-enable Hedera once the Block Node service (HIP-1056) leaves private preview."},{"q":"What is BNB Chain finality time?","a":"BNB Smart Chain finalizes via the BEP-126 fast-finality fork, dropping the confirmation depth that legacy probabilistic chains require. p50 sits at 1.1 s (24h), measured via persistent WebSocket subscription that records T1 when block N first appears as latest and T2 when it crosses the finalized threshold."},{"q":"Which blockchain has the fastest finality time?","a":"Sub-second BFT chains lead. Gram and SUI both clock under one second on this live benchmark. BNB and Avalanche sit around one to two seconds via their fast-finality forks. Solana finalized lands around 12.8 s, Ethereum finalizes in minutes (about 12.8 in the ideal case, longer as observed; the live table shows the current p50), and probabilistic chains trail by confirmation-depth convention: Litecoin and Monero at 15 to 30 minutes, Bitcoin at roughly one hour for 6 confirmations."},{"q":"What is Bitcoin finality time?","a":"Bitcoin never reaches absolute finality. Nakamoto consensus gives probabilistic finality: any block can in principle be reorganized, with a probability that falls exponentially as more blocks are mined on top. The exchange-industry deposit convention is 6 confirmations, roughly one hour at the 10-minute target block interval, and that is what this benchmark measures: 55.5 min (p50, 24h) wall-clock from a block first appearing at the chain tip to reaching 6 confirmations, timed with the harness clock rather than miner-set block timestamps. Variance is high because block intervals are Poisson distributed; a lucky streak settles in about 30 minutes, an unlucky one takes well over 90. Six confirmations is a risk threshold, not a protocol guarantee, and deep reorgs remain possible with vanishing probability."},{"q":"How is L1 finality time measured on this page?","a":"Two methods, picked per chain. RPC pollers compare latest vs finalized block timestamps every 10 seconds, used for Ethereum, Solana, TRON, Stellar, SUI, Gram, Litecoin, Monero. WebSocket subscribers record wall-clock time T1 when a block first appears on the head stream and T2 when it crosses the finality threshold, giving millisecond-precision lag for sub-poll chains (BNB, Avalanche)."}],"perChainExplainer":[{"slug":"ethereum","h2":"Ethereum finality time","body":"Ethereum finality time is 15.9 min (p50, 24h), measured live. Casper FFG finalizes a checkpoint two epochs after it is justified, where each epoch is 32 slots of 12 seconds, which puts the ideal case at about 12.8 minutes. Observed wall-clock finality runs longer because a block lands mid-epoch and waits before the two-epoch countdown starts. Finality is deterministic once reached, but reorgs of unfinalized blocks remain possible before finalization. Measured by polling `eth_getBlockByNumber(\"finalized\")` against `latest` every 10 seconds and reporting the timestamp delta.\n"},{"slug":"solana","h2":"Solana finality time","body":"Solana exposes two commitments. Processed is optimistic and lands sub-second, typically under 500 ms. Finalized requires 32 confirmed slots and clocks 14 s (24h average) on this benchmark. The leaderboard value is finalized, the stricter guarantee. Sub-second Solana finality is real but only at the processed commitment level. Measured via `getSlot{commitment:\"processed\"}` and `getSlot{commitment:\"finalized\"}` translated through block timestamps.\n"},{"slug":"stellar","h2":"Stellar finality time","body":"Stellar uses the Stellar Consensus Protocol, a federated Byzantine agreement that reaches deterministic finality at every ledger close. p50 sits at 7.1 s (24h), aligned with the documented 5-second close interval. No probabilistic confirmation, no reorg window. Measured via the Horizon `/ledgers?cursor=now&order=asc` SSE stream, recording wall-clock T1 on first ledger sight and T2 on the next SCP-final commit.\n"},{"slug":"hedera","h2":"Hedera finality time","body":"Hedera finality time is documented at 3 to 5 seconds via Hashgraph asynchronous Byzantine fault tolerant (aBFT) consensus. The mirror node only exposes already-final blocks, so true wall-clock measurement of consensus lag is currently impossible from public endpoints. This chain is excluded from the live leaderboard for that reason. We re-enable Hedera once the Block Node service (HIP-1056) leaves private preview.\n"},{"slug":"sui","h2":"SUI finality time","body":"SUI clocks 0.5 s (p50, 24h) on this benchmark via the Mysticeti DAG-BFT consensus protocol. The chain exposes millisecond-precision timestamps, so the measurement is genuinely sub-second. Mysticeti's two-vote commitment pattern reaches deterministic finality without the multi-block confirmation depth used by classical Byzantine fault tolerant chains. Measured via `sui_getLatestCheckpointSequenceNumber` minus a 5-checkpoint lookback.\n"},{"slug":"gram","h2":"Gram finality time","body":"Gram's BAG consensus (the chain formerly branded TON, native token renamed Toncoin → Gram in June 2026) pushes masterchain finality to 0.4 s (p50, 24h), one of the lowest deterministic finalities measured on this leaderboard. Gram's design splits state across a masterchain and many workchains; the figure reported here is the masterchain commit, the canonical reference for cross-chain settlement. Measured as the wall-clock lag of the tonapi.io masterchain head: Gram masterchain blocks are BFT-final at production (validator-signed, no fork choice), so commit lag is finality. Post accelerated upgrade the masterchain produces a block about every 0.4s, verified empirically 2026-07-11.\n"},{"slug":"bnb","h2":"BNB Chain finality time","body":"BNB Smart Chain finalizes via the BEP-126 fast-finality fork, dropping the confirmation depth that legacy probabilistic chains require. p50 sits at 1.1 s (24h), measured via persistent WebSocket subscription that records T1 when block N first appears as `latest` and T2 when it crosses the finalized threshold. The WS approach gives millisecond precision on a chain whose block timestamps have 1-second granularity.\n"},{"slug":"avalanche","h2":"Avalanche finality time","body":"Avalanche C-Chain uses Snowman++ consensus and reaches finality at 1.4 s (p50, 24h). The Avalanche family targets sub-second finality through a sampled-voting protocol that converges with high probability after a few rounds of random validator queries. Measured via persistent WebSocket subscription on the C-Chain, recording wall-clock between latest and finalized block emission.\n"},{"slug":"tron","h2":"TRON finality time","body":"TRON's solidity confirmation hovers around 57 s (24h average), matching the documented 20-block delay at 3-second block intervals. The solidity flag in TRON consensus is the chain's equivalent of finalized: a block survives until 20 confirmations before being considered irreversible. Measured via `/wallet/getnowblock` (head) minus `/walletsolidity/getnowblock` (solidity-confirmed).\n"},{"slug":"bitcoin","h2":"Bitcoin finality time","body":"Bitcoin is the reference probabilistic chain: Nakamoto consensus never declares a block final, confidence simply grows with confirmation depth. The exchange deposit convention is 6 confirmations, and this benchmark reports the wall-clock time to reach it, 55.5 min (p50, 24h). Bitcoin block timestamps are miner-set and may legally skew by up to two hours, so the harness does not trust them. It polls the mempool.space tip height every 30 seconds and uses its own clock: T1 when a block first appears at the tip, T2 when the tip is 6 blocks past it. Expect high variance; block intervals are Poisson, so the 6-confirmation wait ranges from about 30 minutes to well over 90. A block with 6 confirmations can still be reversed by a deeper reorg, with probability that vanishes as depth grows.\n"},{"slug":"litecoin","h2":"Litecoin finality time","body":"Litecoin is a probabilistic chain with a 2.5-minute target block interval. Finality is set by convention at 6 confirmations, giving p50 = 31.7 min (24h). The exact wall-clock depends on block-time variance: a fast streak yields shorter finality, a slow streak extends it. Measured via blockchair `/stats.best_block_height` minus a 6-confirmation lookback.\n"},{"slug":"monero","h2":"Monero finality time","body":"Monero is a probabilistic chain with a 2-minute target block interval. Finality convention is 10 confirmations (a higher depth reflecting Monero's lower-throughput chain mining a smaller security budget), giving p50 = 19.6 min (24h). Measured via the monero-rpc `get_info` endpoint minus a 10-confirmation lookback through `get_block_header_by_height`.\n"}],"subtitle":"Wall-clock seconds from latest block to the finalized block on Ethereum, Solana, Bitcoin, Gram, SUI, Stellar and 5 more chains, refreshed every 10 seconds.","category":"Blockchains","status":"live","editorialStatus":"live","metric":"Finality time","unit":"s","higherIsBetter":false,"abstract":"We measure the live gap between every L1 chain's latest block and its\nfinalized block. The harness uses two complementary methods. For\nchains with finality much longer than our 10 s poll interval we read\n`latest.timestamp, finalized.timestamp` from the chain RPCs (Ethereum,\nSolana, TRON, Litecoin, Monero). For chains whose finality\nis faster than the poll interval (BNB, Avalanche, SUI, Gram, Stellar)\nwe maintain a persistent WebSocket / SSE subscription, recording\nwall-clock time T1 when block N is first seen as `latest` and T2\nwhen it becomes `finalized`. lag = T2 − T1 with millisecond\nprecision. The WS path is the only honest way to measure\nsub-poll-cadence finality. Comparing two pointers at a single\ninstant collapses to zero when finalization catches up to head.\nBitcoin uses the same own-clock idea over HTTP polling: T1 when a\nblock first appears at the mempool.space tip, T2 when it reaches the\n6-confirmation exchange deposit convention. Miner-set Bitcoin block\ntimestamps (up to 2h skew is consensus-legal) are never trusted, and\nBitcoin never reaches absolute finality; the row reports the wall\nclock to a conventional risk threshold, not a protocol commitment.\nHedera is mentioned in the FAQ but not currently measured, its\nmirror node only exposes already-final blocks, which makes\nwall-clock lag impossible. Re-enabling is gated on Block Nodes\n(HIP-1056) leaving private preview.\n","methodology":["Cadence: every 10 seconds for HTTP-polled chains, continuous WS for BNB and Avalanche.","Ethereum: `eth_getBlockByNumber(\"latest\")` minus `eth_getBlockByNumber(\"finalized\")`.","BNB / Avalanche (WS wall-clock): persistent `eth_subscribe(\"newHeads\")` records T1 = first time block N is seen as latest. Periodic `eth_getBlockByNumber(\"finalized\")` over same WS records T2 when N becomes finalized. lag = T2 − T1, ms precision, independent of chain timestamp resolution.","Solana: `getSlot{commitment:\"processed\"}` + `getBlockTime` minus `getSlot{commitment:\"finalized\"}` + `getBlockTime`.","TRON: `/wallet/getnowblock` (head) minus `/walletsolidity/getnowblock` (solidity-confirmed).","Stellar (SSE wall-clock): Horizon `/ledgers?cursor=now&order=asc` event-stream records T1 on first sight of ledger N and T2 on the next ledger close (SCP-final at every close).","SUI: `sui_getLatestCheckpointSequenceNumber` minus 5 checkpoints back.","Gram: wall-clock lag of the tonapi.io masterchain head. Masterchain blocks are BFT-final at production, so head commit lag is the finality figure; the chain produces a block about every 0.4s since the accelerated upgrade.","Bitcoin (probabilistic, own-clock): mempool.space `/blocks/tip/height` polled every 30 s. T1 = first poll where block N is the tip, T2 = first poll where tip − N ≥ 6 (the exchange deposit convention). lag = T2 − T1 on the harness clock; miner-set block timestamps (consensus allows 2h skew) are never used. The startup tip is not timed. On a tip regression, pending timers above the new tip are dropped; same-height reorgs are invisible to height polling, bounding error to about one block interval.","Litecoin (probabilistic): blockchair `/stats.best_block_height` minus 6 confirmations via `/dashboards/block/{height}.block.time`.","Monero (probabilistic): monero-rpc `get_info` minus 10 confirmations via `get_block_header_by_height`.","Hedera (planned, currently disabled): mirror-node `/api/v1/blocks` only exposes already-final blocks, so true wall-clock lag is impossible from public endpoints. Re-enables once Block Nodes (HIP-1056) leave private preview.","Result: `lag_seconds = headTimestamp - finalizedTimestamp`. We also record the block-height delta and per-chain fetch latency.","Excluded by design: XRP (no close-time on `ledger_current`, wall-clock measurement requires WS subscribe to ledger stream, not yet implemented).","Failures (5xx, timeouts, rate limits) leave the previous gauge in place and increment a per-chain `fetch_errors_total` counter; the page falls back to the last successful sample."],"findings":["SUI returns 0.5 s (p50, 24 h), matching its Mysticeti DAG BFT design. The chain exposes ms timestamps so the measurement is genuinely sub-second.","Ethereum sits at 15.9 min (24 h average), consistent with the 2-epoch Casper FFG design (32 slots × 12 s × 2 = 12.8 min ideal) plus the mid-epoch wait before the countdown starts.","TRON's solidity confirmation hovers around 57 s, exactly the documented 20-block delay at 3 s blocks.","Litecoin and Monero sit at 31.7 min and 19.6 min (24 h average) by construction, set by the chosen confirmation depth.","Bitcoin reaches the 6-confirmation deposit convention in 55.5 min (p50, 24 h). This is a convention, not protocol finality: Bitcoin is probabilistic, never finalizes absolutely, and the reorg probability only vanishes with depth.","Gram currently leads the leaderboard at 0.4 s (p50, 24 h) across 11 measured L1s. Bitcoin trails at 55.5 min.","Hedera's Hashgraph aBFT is designed to finalize in 3-5 s but is excluded from the live leaderboard because the mirror node only exposes finalized blocks, wall-clock measurement requires the Block Node service (HIP-1056), still in private preview."],"source":"https://github.com/ChainBench/OpenChainBench/tree/main/harnesses/l1-finality","results":[{"name":"BNB","slug":"bnb","tag":"Fast finality fork (BEP-126), measured via WS wall-clock","ms":{"p50":1080,"p90":1552.1,"p99":1859.41,"mean":1081.49},"successRate":99.39240000000001,"sampleSize":175036,"query":"quantile_over_time(0.50, l1_finality_wallclock_lag_milliseconds{chain=\"bnb\"}[24h])","formula":"Median wall-clock milliseconds between a BNB block first appearing as `latest` on WebSocket and crossing the BEP-126 finalized threshold, p50 over 24h.","availability":"live","meta":{"observedAt":1784679878181}},{"name":"Avalanche","slug":"avalanche","tag":"Snowman++ consensus, measured via WS wall-clock","ms":{"p50":1425,"p90":1928.1,"p99":3056.73,"mean":1476.77},"successRate":99.16669999999999,"sampleSize":83345.5,"query":"quantile_over_time(0.50, l1_finality_wallclock_lag_milliseconds{chain=\"avalanche\"}[24h])","formula":"Median wall-clock milliseconds between a C-Chain block emitting as `latest` and as `finalized` on a persistent WebSocket, p50 over 24h.","availability":"live","meta":{"observedAt":1784679878181}},{"name":"SUI","slug":"sui","tag":"Mysticeti DAG, measured via wall-clock checkpoint cadence","ms":{"p50":499,"p90":502,"p99":995,"mean":505.588},"successRate":100,"sampleSize":171163,"query":"quantile_over_time(0.50, l1_finality_wallclock_lag_milliseconds{chain=\"sui\"}[24h])","formula":"Median wall-clock milliseconds for a SUI Mysticeti checkpoint to reach finality, measured via `sui_getLatestCheckpointSequenceNumber` with a 5-checkpoint lookback, p50 over 24h.","availability":"live","meta":{"observedAt":1784679878181}},{"name":"Gram","slug":"gram","tag":"Masterchain commit, polled via tonapi.io","ms":{"p50":398,"p90":474,"p99":847.61,"mean":402.461},"successRate":98.9062,"sampleSize":201046,"query":"quantile_over_time(0.50, l1_finality_wallclock_lag_milliseconds{chain=\"gram\"}[24h])","formula":"Median wall-clock milliseconds for a Gram (formerly TON) masterchain block to commit under BAG consensus, polled via tonapi.io with a 3-seqno lookback, p50 over 24h.","availability":"live","meta":{"observedAt":1784679878181}},{"name":"Stellar","slug":"stellar","tag":"SCP federated voting, measured via Horizon SSE wall-clock","ms":{"p50":7083,"p90":11086,"p99":18162.4,"mean":7283},"successRate":100,"sampleSize":12198.1,"query":"quantile_over_time(0.50, l1_finality_wallclock_lag_milliseconds{chain=\"stellar\"}[24h])","formula":"Median wall-clock milliseconds between two SCP-final ledger closes on the Horizon `/ledgers` SSE stream, aligned with Stellar's ~5s close interval, p50 over 24h.","availability":"live","meta":{"observedAt":1784679878181}},{"name":"Solana","slug":"solana","tag":"Tower BFT, 32-slot finalized commitment","ms":{"p50":13636.3,"p90":14000,"p99":16000,"mean":13636.3},"successRate":99.9826,"sampleSize":5760,"query":"avg_over_time(l1_finality_lag_seconds{chain=\"solana\"}[24h]) * 1000","formula":"Mean elapsed time (in ms) between Solana's processed and finalized commitments via `getSlot` + `getBlockTime`, covering the 32-slot Tower BFT finalization gap, over 24h.","availability":"live","meta":{"observedAt":1784679878181}},{"name":"TRON","slug":"tron","tag":"20-block solidity confirmation","ms":{"p50":56827.6,"p90":57000,"p99":60000,"mean":56827.6},"successRate":99.5313,"sampleSize":5760,"query":"avg_over_time(l1_finality_lag_seconds{chain=\"tron\"}[24h]) * 1000","formula":"Mean elapsed time (in ms) between TRON head and solidity-confirmed block via `/wallet/getnowblock` vs `/walletsolidity/getnowblock`, the 20-block irreversibility delay, over 24h.","availability":"live","meta":{"observedAt":1784679878181}},{"name":"Ethereum","slug":"ethereum","tag":"Casper FFG, 2-epoch finalization","ms":{"p50":952421,"p90":1104000,"p99":1140000,"mean":952421},"successRate":99.9479,"sampleSize":5760,"query":"avg_over_time(l1_finality_lag_seconds{chain=\"ethereum\"}[24h]) * 1000","formula":"Mean elapsed time (in ms) between `eth_getBlockByNumber(\"latest\")` and `eth_getBlockByNumber(\"finalized\")` timestamps, the 2-epoch Casper FFG window plus intra-epoch wait, over 24h.","availability":"live","meta":{"observedAt":1784679878181}},{"name":"Litecoin","slug":"litecoin","tag":"Probabilistic, 6 confirmations","ms":{"p50":1901560,"p90":2796000,"p99":4014000,"mean":1901560},"successRate":99.4965,"sampleSize":5760,"query":"avg_over_time(l1_finality_lag_seconds{chain=\"litecoin\"}[24h]) * 1000","formula":"Mean elapsed time (in ms) to accumulate 6 Litecoin confirmations via blockchair `/stats.best_block_height` with a 6-block lookback, the standard probabilistic settlement convention, over 24h.","availability":"live","meta":{"observedAt":1784679878181}},{"name":"Monero","slug":"monero","tag":"Probabilistic, 10 confirmations","ms":{"p50":1173190,"p90":1696000,"p99":2372000,"mean":1173190},"successRate":100,"sampleSize":5760,"query":"avg_over_time(l1_finality_lag_seconds{chain=\"monero\"}[24h]) * 1000","formula":"Mean elapsed time (in ms) to accumulate 10 Monero confirmations via monero-rpc `get_info` and `get_block_header_by_height` lookback, the conservative probabilistic depth, over 24h.","availability":"live","meta":{"observedAt":1784679878181}},{"name":"Bitcoin","slug":"bitcoin","tag":"Probabilistic, 6 confirmations, measured via own-clock polling","ms":{"p50":3330000,"p90":5610000,"p99":7080000,"mean":3649630},"successRate":100,"sampleSize":140.024,"query":"quantile_over_time(0.50, l1_finality_wallclock_lag_milliseconds{chain=\"bitcoin\"}[24h])","formula":"Median wall-clock milliseconds for a Bitcoin block to reach 6 confirmations (the exchange deposit convention, not absolute finality), timed with the harness clock from first sight at the mempool.space tip, p50 over 24h.","availability":"live","meta":{"observedAt":1784679878181}}],"extras":{"series24h":{"bnb":[1337,1645,1097,1504,2225,748,1322,833,1655,1039,1369,727,693,1117,1026,1371,1630,1451,1412,1200,991,782,1038,907,795,873,819,730,529,839,1837,1080,1080,1080,1080,1080,1080,1085,1447,1733,773,596,1806,1027,908,1178,1434,778,1667,1017,734,1471,573,879,1597,1392,851,1097,551,661,1129,1644,1581,1373,691,578,1085,1352,1394,1634,1474,1012,553],"avalanche":[1330,1585,1061,1833,1348,1849,1614,1775,1350,1958,1043,1256,1810,1638,1286,1351,1375,1852,1835,841,1505,1354,1030,1621,1960,1702,1390,1682,1489,1290,1527,1617,1578,1685,1667,1510,925,1720,1743,1703,1763,1657,1004,2192,1939,2670,1182,1082,2193,921,2429,2298,1426,415,1118,1559,1870,1761,1293,1099,1489,2485,1108,1325,1243,1560,1057,785,1699,1658,1764,1351,847],"sui":[499,496,499,498,499,501,501,499,502,501,500,500,500,500,501,500,499,497,521,499,499,501,496,498,500,498,500,499,501,499,500,502,490,496,502,496,499,501,501,496,501,498,497,501,492,496,501,491,499,499,499,499,497,500,499,500,500,501,501,499,500,499,499,500,500,499,498,500,497,1000,499,499,499],"gram":[400,486,380,390,168,396,311,378,407,677,451,381,422,403,382,477,324,442,424,415,490,401,381,439,413,313,345,337,398,351,454,343,362,437,361,356,467,414,290,473,428,523,419,351,305,428,410,195,196,362,414,590,395,860,289,412,444,318,369,367,322,368,395,380,360,404,373,386,439,366,405,313,398],"stellar":[11091,7086,11087,8003,4001,8004,8003,3083,8001,7082,7084,4006,4002,7083,11086,11085,4002,4000,11084,3079,4002,7080,11086,4002,4000,7085,3083,11087,11100,7082,7083,11082,3085,4002,4002,22168,7095,4001,7083,4001,11082,7084,7082,7082,11080,11088,4000,3084,11088,3078,3083,7085,7088,11089,3081,8003,4002,11088,7083,7080,7084,11082,7080,8001,7082,8004,7084,3083,11084,4002,7089,11093,4001],"solana":[14000,14000,13000,13000,14000,14000,14000,13000,13000,14000,13000,15000,14000,13000,14000,13000,15000,13000,14000,16000,14000,13000,13000,14000,13000,14000,13000,14000,14000,13000,14000,14000,13000,13000,13000,13000,13000,14000,14000,15000,14000,14000,13000,14000,14000,14000,13000,14000,14000,15000,15000,13000,13000,13000,13000,14000,14000,14000,13000,13000,14000,14000,15000,13000,14000,14000,13000,14000,13000,14000,13000,14000,15000],"tron":[57000,57000,57000,54000,57000,57000,57000,57000,57000,57000,57000,57000,57000,57000,57000,57000,57000,57000,57000,57000,57000,57000,57000,57000,57000,57000,57000,57000,60000,57000,57000,57000,57000,57000,57000,57000,57000,57000,57000,57000,54000,57000,57000,60000,57000,57000,57000,57000,57000,57000,57000,57000,57000,57000,57000,57000,57000,57000,57000,54000,57000,57000,57000,57000,57000,57000,57000,57000,57000,57000,57000,57000,57000],"ethereum":[852000,912000,948000,996000,1044000,1092000,1140000,804000,852000,900000,948000,996000,1044000,1092000,1140000,804000,852000,900000,948000,996000,1044000,1092000,1140000,804000,852000,900000,948000,996000,1044000,1092000,1140000,804000,852000,900000,948000,996000,1044000,1092000,1140000,804000,852000,900000,948000,996000,1044000,1092000,1140000,804000,852000,900000,948000,996000,1044000,1092000,1140000,804000,852000,900000,948000,996000,1044000,1092000,1140000,804000,852000,900000,948000,996000,1044000,1092000,1140000,804000,852000],"litecoin":[1829000,1582000,1537000,1504000,1817000,1756000,1914000,1650000,1783000,2236000,788000,1369000,1693000,1019000,1563000,1971000,1547000,2523000,3105000,4093000,3874000,2662000,1695000,880000,1477000,1641000,2060000,2852000,3153000,3078000,2523000,1316000,1728000,1769000,1956000,1224000,918000,1326000,1928000,1164000,1615000,1783000,2034000,1885000,1665000,1814000,1070000,1406000,1229000,1424000,2355000,2247000,1493000,2358000,2020000,1452000,2207000,2471000,1958000,2290000,2200000,2157000,2840000,1814000,1516000,1127000,1433000,1601000,1983000,1771000,1741000,1369000,2116000],"monero":[1302000,2372000,1262000,1122000,1533000,2120000,1587000,1635000,1103000,1183000,589000,852000,1643000,1566000,711000,1279000,1176000,1289000,880000,837000,1337000,1858000,977000,1060000,828000,1339000,948000,1132000,785000,1311000,889000,980000,1493000,1076000,858000,927000,1387000,881000,728000,1396000,945000,1417000,1587000,1065000,1255000,1807000,1653000,1010000,1640000,1129000,598000,1217000,891000,1462000,845000,905000,953000,1242000,1089000,1108000,1042000,698000,1128000,1139000,907000,1236000,1147000,1567000,1514000,826000,714000,963000,1325000],"bitcoin":[7680000,3060000,1860000,1860000,1860000,5190000,5190000,7080000,4140000,4140000,4140000,810000,1860000,2340000,2340030,2130000,2340000,3570000,4469970,4920000,5580000,4170000,5100000,6270000,5910000,5700000,6330000,4140000,5400000,4860000,4590000,3750000,2910000,3600000,3780000,3810000,3120000,3120000,3120000,4440000,1740000,2070000,2310000,2790000,4230000,4890000,2490000,2070000,2370000,2430000,2700000,2700000,2700000,5610000,5670000,6060000,3060000,3000000,3330000,2760000,2820000,2820000,4500000,4740000,3120000,1920000,1980000,2820000,3690000,3690000,2760000,33902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perp DEX, live all-in cost from $1k to $1M on ETH, BTC and SOL","seoTitle":"Cheapest perp DEX 2026","seoDescription":"Lighter leads cheapest perp DEX at 0.0033% all-in (24h avg). ETH, BTC and SOL market orders at $1k, $100k and $1M. Lighter, Hyperliquid, Polymarket, Paradex, Extended, dYdX, GMX, gains.trade ranked live.","seoIntro":"This benchmark answers the question every perp DEX comparison article\nrefuses to answer with real numbers. what does it actually cost to\nopen a $1000 ETH long 10x position right now, all-in, on each major\ndecentralized venue. Published fee schedules quote a taker rate of\n0 bps (Lighter), 4.5 bps (Hyperliquid), 5 bps (dYdX) or 6 bps (GMX),\nbut the rack rate is half the story. The other half is the spread you\ncross at market and the price impact you eat at $1000 notional, both\nof which are missing from every comparison roundup currently ranking\nfor \"best perp DEX\". We read taker fees from each venue's own API\n(no hardcoded schedules), walk the orderbook for $1000 of buy-side\nnotional to compute spread plus impact where a book exists (GMX and\ngains.trade are oracle priced, so their spread terms come from\nprotocol parameters), and sum the two into a single basis-point\nfigure refreshed every five minutes. Hyperliquid vs\nLighter vs Polymarket vs dYdX vs GMX vs gains.trade is then a\none-number comparison, not a six-tab spreadsheet. Size changes the\nanswer, so the board is complemented by two panels that rerun the\nexact same measurement at $100,000 and $1,000,000 of notional. Small\norders reward the lowest fee schedule; a $1M market order rewards the\ndeepest book, and the ranking visibly flips between the two.\n","faq":[{"q":"Which perp DEX is cheapest for a $1M market order?","a":"The venue with the deepest book, not the one with the lowest fee schedule. At $1,000,000 of notional the price impact from walking the book dwarfs the taker fee, so zero fee venues can lose to a 4 bps venue whose book absorbs the size better. The $1M panel on this page reruns the exact same measurement at that size, and the ranking regularly differs from the $1000 headline board. A venue that shows no data there means its visible book could not fill $1M at measurement time, which is a depth signal in itself."},{"q":"Why does the ranking change with order size?","a":"Two cost components move in opposite directions. The taker fee is a flat percentage, identical at any size. Price impact grows with size because a bigger order eats deeper into the book. Small orders are fee dominated, so zero fee venues win. Large orders are depth dominated, so the deepest book wins. The board at $1000 and the panels at $100k and $1M show all three regimes live."},{"q":"What is the cheapest perpetual futures DEX right now?","a":"Lighter currently leads the leaderboard at 0.0033% all-in (24 h average) for opening a $1000 ETH long 10x position. The leaderboard re-sorts every five minutes against fresh Prometheus samples, so the answer reflects the last 24 hours of live data from each venue's public API, not a frozen rack-rate table."},{"q":"Is Lighter really zero fees on perpetual futures?","a":"The taker fee on Lighter is 0 bps, confirmed live via `/orderBookDetails` rather than a marketing page. The all-in cost is not zero, however, because every market order still crosses the half-spread and eats price impact at notional. The Lighter line on this benchmark shows what that residual cost actually is at $1000, which is the right number to compare against a paid venue's all-in figure."},{"q":"How do Hyperliquid fees compare to Lighter or dYdX in practice?","a":"Hyperliquid quotes 4.5 bps taker but its HyperBFT orderbook is among the deepest of any decentralized venue, so the spread component stays compressed and the all-in figure usually clocks close to the rack rate. Lighter starts from 0 bps taker but pays for it in slightly wider spreads on smaller markets. dYdX v4 sits at 5 bps taker with a comparably tight book. The leaderboard above shows the resulting one-number comparison live."},{"q":"What is the actual cost of trading on Hyperliquid for a $1000 position?","a":"Hyperliquid is currently at 0.046% all-in (24 h average), which means a $1000 ETH 10x long costs that fraction of $1000 to open. Funding is charged separately and is not part of this benchmark; we publish the per-hour funding rate as a side metric (`perp_fees_funding_rate_per_hour_bps`) so traders sizing a multi-hour hold can layer it on top."},{"q":"Why include spread and impact instead of just taker fee?","a":"Rack-rate taker fee is what every comparison article quotes; it is also what every trader stops being able to read off a marketing page the second they place a market order. Spread plus impact at notional is the rest of the bill. On a tight book the gap is small, on a thin book it can dominate a 5 bps taker. Bundling both into one number is the only way to make a fair across-venue ranking that survives contact with a $1000 trade."},{"q":"How does GMX v2 fee work and why does this benchmark show the higher number?","a":"GMX v2 splits the position fee into a positive-impact branch (4 bps, when your trade reduces the venue's net open interest skew) and a negative-impact branch (6 bps, when it adds to the skew). Which branch fires depends on the current open interest at the moment of the trade and is not predictable from the user's side. We report the negative branch as the conservative upper bound; the positive branch is read by the harness as well and would lower the all-in number by 2 bps when it fires."},{"q":"How do perp fees change with position size?","a":"The taker fee does not change: every venue here charges a flat percentage of notional, so 4.5 bps on Hyperliquid costs 45 cents at $1,000 and $45 at $100,000, the same rate. What scales is the impact term: a bigger market order walks deeper into the book, so the effective price moves further from mid. On deep books like BTC on Hyperliquid the $100k figure sits within a fraction of a bp of the $1k figure; on thinner books like SOL the extra impact can exceed the entire taker fee. Oracle priced venues (GMX v2, gains.trade) quote the same bps at any size because there is no book to walk. The harness measures all three tiers every cycle and publishes them to `perp_fees_all_in_bps_tier` with a notional label of 1000, 10000 or 100000; the $10k and $100k panels on this page chart them live. When a book cannot fill a tier we skip the sample rather than extrapolate, so a missing tier is itself a depth signal."},{"q":"Does this benchmark include funding rates or only the open cost?","a":"Open cost only. Funding is paid every hour you hold, not at open, so bundling it into a one-number leaderboard would conflate two different fee mechanics. The harness still records funding rate per venue (`perp_fees_funding_rate_per_hour_bps`, signed) so a trader can read both numbers and compute their own time-adjusted cost for a longer hold."}],"perChainExplainer":[{"slug":"ETH","h2":"Cheapest perp DEX for ETH","body":"The cheapest perp DEX for ETH on this benchmark sits at 0.0033% all-in (p50, 24h) for a $1000 ETH long 10x. ETH-PERP is the deepest pair on every venue measured (Hyperliquid, Lighter, Polymarket, Paradex, Extended, dYdX v4, GMX v2, gains.trade), which means the rack-rate taker fee dominates the all-in number rather than the spread. Lighter quotes 0 bps taker, Hyperliquid 4.5 bps, dYdX 5 bps tier-0, GMX 4 or 6 bps on the impact branch, gains.trade reads the openFeeP slot live from the on-chain Gains v8 fees contract. Spread plus impact at $1000 notional is added on top via an orderbook walk.\n"},{"slug":"BTC","h2":"Cheapest perp DEX for BTC","body":"The cheapest perp DEX for BTC on this benchmark sits at 0.0033% all-in (p50, 24h) for a $1000 BTC long 10x. BTC-PERP carries the highest open interest across every venue in the cohort, so books are typically tighter than ETH on the same notional and the spread component compresses toward the rack rate. GMX v2 BTC uses the same positionFeeFactor schedule as ETH (4 bps positive impact, 6 bps negative); the bench reports the conservative negative branch. The leaderboard reorders intra-day with funding skew and orderbook depth.\n"},{"slug":"SOL","h2":"Cheapest perp DEX for SOL","body":"The cheapest perp DEX for SOL on this benchmark sits at 0.0051% all-in (p50, 24h) for a $1000 SOL long 10x. SOL-PERP books are thinner than ETH or BTC on every venue, so the spread plus impact component carries more weight in the all-in figure and a 5 bps taker venue can land above a 0 bps taker venue once the orderbook is walked. Lighter, Hyperliquid and dYdX v4 quote SOL-PERP natively; GMX v2 trades SOL as a synthetic on its Arbitrum deployment.\n"}],"subtitle":"All-in cost in basis points to open a long, measured on ETH, BTC and SOL at three order sizes: $1k where fees decide, $100k where impact appears, $1M where book depth takes over. Taker fee plus half-spread plus impact, read live from public APIs across 8 venues including Lighter, Hyperliquid, Polymarket, Paradex and Extended.","category":"Trading","status":"live","editorialStatus":"live","metric":"All-in cost","panelMainLabel":"All-in at $1k","unit":"bps","higherIsBetter":false,"abstract":"We measure the live all-in cost of opening a $1000 ETH long 10x perp\nposition across major perpetual venues. Cost = taker fee + half-spread\n+ price impact at notional, all in basis points. No transactions are\nsent, only freely-available public APIs are queried. Every value is\nread live, no hardcoded fee schedules. Taker fees come from each\nvenue's own API (Hyperliquid `userFees`, dYdX Cosmos REST\n`/feetiers/perpetual_fee_params`, GMX Subsquid `positionFeeFactor`,\nLighter `/orderBookDetails`, Gains v8 on-chain `fees()`). On the\norderbook venues (Hyperliquid, dYdX, Lighter) the spread comes from\nwalking the book for $1000 of buy-side notional. GMX v2 is oracle\npriced with no book, so its spread term is zero. gains.trade uses\nhalf of the on-chain `spreadP`. The bench refreshes every 5 minutes.\n","methodology":["Cadence: every 5 minutes, in parallel across all venues.","Trade simulated: a long at 10x, measured independently on ETH, BTC and SOL (the chain tabs scope the board; the unfiltered view averages the three). Headline notional $1,000 with $10k, $100k and $1M tiers rewalked on the same book.","Hyperliquid: `POST /info {type: l2Book}` for asks + `{type: userFees, user: 0x000...000}` for taker fee + `{type: metaAndAssetCtxs}` for funding.","dYdX v4: indexer `/orderbooks/perpetualMarket/ETH-USD` + `/perpetualMarkets` (funding) + Cosmos REST `/dydxprotocol/v4/feetiers/perpetual_fee_params` for tier-0 default fee.","GMX v2 (Arbitrum): Subsquid GraphQL on the synthetics-arbitrum subgraph for `positionFeeFactorForNegativeImpact` (worst-case open) on the ETH/USD, BTC/USD and SOL/USD markets + gmxinfra REST for funding. Oracle priced, no orderbook: the spread term is zero.","Lighter: `/orderBookDetails` (taker fee per market) + `/orderBookOrders` (orderbook walk).","gains.trade (Gains v8 on Base): fees read directly on-chain. `eth_call pairs(N)` gives `spreadP` and `feeIndex`, then `eth_call fees(feeIndex)` gives the open fee (`totalPositionSizeFeeP`). The taker crosses one side of the book, so we charge half of `spreadP`. SOL has `spreadP` 0 on-chain (Gains prices that pair's spread dynamically), so its figure is the open fee alone. Values in 1e10 precision per Gains v8 convention. Fee tier cached 1h, pair config 6h.","Paradex: `/markets` fee config for the api-tier taker rate + `/orderbook?depth=100` walk. The book endpoint caps at 100 levels (about $1M visible on majors), so the $1M tier can be skipped when the visible book thins.","Extended: full public book from `/info/markets/<m>/orderbook` + `/stats` funding (1h native). Its taker fee is not exposed by any public endpoint; the documented base rate of 2.5 bps is used and this is the one venue where the fee is not read live.","All-in formula: `all_in_bps = taker_fee_bps + spread_bps`. Both components emitted as separate metrics for transparency.","Notional tiers: the same measurement runs at $1,000, $10,000, $100,000 and $1,000,000 by rewalking the already fetched book, published to `perp_fees_all_in_bps_tier{venue, chain, notional}`. The headline `perp_fees_all_in_bps` stays defined at $1,000. A tier the book cannot fill is skipped and counted in `perp_fees_tier_skipped_total`, never extrapolated. Oracle priced venues (GMX v2, gains.trade) charge a flat percentage of size, so their figure repeats across tiers.","Book depth for the $1M tier: Lighter is walked on its top 100 levels, dYdX on the full indexer book, Polymarket on up to 500 levels. Hyperliquid returns its 20 best raw levels; when those cannot absorb the tier the harness refetches with nSigFigs=5, the finest price aggregation the API offers, which extends coverage with negligible price rounding.","Failures (5xx, timeouts, rate limits) leave the previous gauge in place and increment a per-venue `fetch_errors_total` counter. The page falls back to the last successful sample."],"findings":["Lighter currently leads the leaderboard at 0.0033% all-in (24 h average) across 7 measured perp venues. The number includes taker fee plus the spread crossed at $1000 notional, not the rack-rate taker fee alone.","Lighter charges zero taker fees on ETH-PERP, confirmed live via their public API. Lighter clocks 0.0033% all-in (24 h average), so the headline figure is essentially the half-spread plus orderbook impact crossed at $1000.","Hyperliquid sits at 0.046% all-in (24 h average) on a 4.5 bps base taker. The deep HyperBFT orderbook keeps the spread component compressed, so the all-in number tracks the rack rate closer than any other venue in the cohort.","dYdX v4 sits at 0.054% all-in (24 h average). The published tier-0 taker fee is 5 bps; the rest is the orderbook crossed at $1000, which on dYdX v4 is consistently the tightest non-zero-fee book outside Hyperliquid.","GMX position fee is variable: 4 bps on positive impact opens, 6 bps on negative impact. We report the negative branch (conservative upper bound). {{name:gmx}} clocks {{p50:gmx}} all-in (24 h average).","dYdX v4 trails at 0.054% all-in (24 h average). The leaderboard reorders intra-day with spread volatility, so a venue cheap on the rack rate can still trail when its book thins out at a $1000 buy."],"source":"https://github.com/ChainBench/OpenChainBench/tree/main/harnesses/perp-fees","dimensions":{"chain":[{"value":"ETH","label":"ETH"},{"value":"BTC","label":"BTC"},{"value":"SOL","label":"SOL"}]},"results":[{"name":"Polymarket","slug":"polymarket","tag":"Polygon perps by Polymarket, 4 bps base taker tier","ms":{"p50":4.13495,"p90":4.30103,"p99":5.11093,"mean":4.13495},"successRate":100,"sampleSize":5760,"query":"avg_over_time(perp_fees_all_in_bps{venue=\"polymarket\"}[24h])","formula":"Average over 24h of (base-tier taker rate from the Polymarket perps fees endpoint + half-spread plus impact from the book endpoint asks walked for $1000 of buy notional in the selected asset), in bps.","availability":"live","meta":{"observedAt":1784679886781}},{"name":"Lighter","slug":"lighter","tag":"zk-rollup, zero taker fee","ms":{"p50":0.333493,"p90":0.688217,"p99":1.23803,"mean":0.333493},"successRate":100,"sampleSize":5760,"query":"avg_over_time(perp_fees_all_in_bps{venue=\"lighter\"}[24h])","formula":"Average over 24h of (taker fee from Lighter `/orderBookDetails` + half-spread plus impact from walking `/orderBookOrders` for $1000 of buy notional in the selected asset), in bps.","availability":"live","meta":{"observedAt":1784679886781}},{"name":"Hyperliquid","slug":"hyperliquid","tag":"HyperBFT L1 perp DEX","ms":{"p50":4.58909,"p90":4.57647,"p99":5.04944,"mean":4.58909},"successRate":100,"sampleSize":5760,"query":"avg_over_time(perp_fees_all_in_bps{venue=\"hyperliquid\"}[24h])","formula":"Average over 24h of (Hyperliquid `userFees` taker rate + half-spread plus impact from the `l2Book` asks side walked for $1000 of buy notional in the selected asset), in bps.","availability":"live","meta":{"observedAt":1784679886781}},{"name":"dYdX v4","slug":"dydx","tag":"Cosmos-based decentralized perp","ms":{"p50":5.44992,"p90":5.96824,"p99":7.41875,"mean":5.44992},"successRate":100,"sampleSize":5760,"query":"avg_over_time(perp_fees_all_in_bps{venue=\"dydx\"}[24h])","formula":"Average over 24h of (dYdX Cosmos REST tier-0 taker fee + half-spread plus impact from the indexer `/orderbooks/perpetualMarket/{ASSET}-USD` walked at $1000 notional), in bps.","availability":"live","meta":{"observedAt":1784679886781}},{"name":"GMX v2","slug":"gmx","tag":"Synthetics on Arbitrum, oracle-priced","ms":{"p50":0,"p90":0,"p99":0,"mean":0},"successRate":0,"availability":"unavailable","unresponsive":true,"formula":"Average over 24h of GMX v2 `positionFeeFactorForNegativeImpact` (worst-case open) for the selected market (ETH, BTC or SOL) from the synthetics-arbitrum subgraph, in bps; oracle priced so no spread component.","meta":{"observedAt":1784679886781}},{"name":"gains.trade","slug":"gains","tag":"Synthetic perps on Base, fees read on-chain","ms":{"p50":4,"p90":4,"p99":4,"mean":4},"successRate":100,"sampleSize":5760,"query":"avg_over_time(perp_fees_all_in_bps{venue=\"gains\"}[24h])","formula":"Average over 24h of (Gains v8 `fees(feeIndex)` open fee + half of `pairs(N).spreadP`), both read on-chain via Base RPC and converted to bps.","availability":"live","meta":{"observedAt":1784679886781}},{"name":"Paradex","slug":"paradex","tag":"Starknet appchain perps, 2 bps api taker tier","ms":{"p50":3.68492,"p90":4.49131,"p99":5.57876,"mean":3.68492},"successRate":100,"sampleSize":5760,"query":"avg_over_time(perp_fees_all_in_bps{venue=\"paradex\"}[24h])","formula":"Average over 24h of (api-tier taker rate from the Paradex /markets fee config + half-spread plus impact from the /orderbook asks, depth 100, walked for $1000 of buy notional in the selected asset), in bps.","availability":"live","meta":{"observedAt":1784679886781}},{"name":"Extended","slug":"extended","tag":"Starknet perps, full public book, documented 2.5 bps 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at $1M","description":"All-in opening cost at $1,000,000 notional. At this size book depth decides the ranking and fee schedules become secondary. A venue whose visible book cannot absorb $1M shows no data instead of an extrapolated figure, which is itself a depth 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perp","ms":{"p50":5.44992,"p90":5.96824,"p99":7.41875,"mean":5.44992},"successRate":100,"sampleSize":5760,"query":"avg_over_time(perp_fees_all_in_bps{venue=\"dydx\",chain=\"BTC\"}[24h])","formula":"Average over 24h of (dYdX Cosmos REST tier-0 taker fee + half-spread plus impact from the indexer `/orderbooks/perpetualMarket/{ASSET}-USD` walked at $1000 notional), in bps.","availability":"live"},"SOL":{"name":"dYdX v4","slug":"dydx","tag":"Cosmos-based decentralized perp","ms":{"p50":7.79419,"p90":9.92278,"p99":12.1923,"mean":7.79419},"successRate":100,"sampleSize":5760,"query":"avg_over_time(perp_fees_all_in_bps{venue=\"dydx\",chain=\"SOL\"}[24h])","formula":"Average over 24h of (dYdX Cosmos REST tier-0 taker fee + half-spread plus impact from the indexer `/orderbooks/perpetualMarket/{ASSET}-USD` walked at $1000 notional), in 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Helius, Moralis, Mobula and 6 more providers measured daily.","seoIntro":"This benchmark answers the question that decides whether a wallet\nlabeling API is worth integrating. given a publicly-known address,\ndoes the API actually identify it. Arkham and Nansen own the\nconsumer visualization layer; the builder side of the question lives\nelsewhere, in the labeling APIs wallets, portfolio trackers and AML\nflows hit under the hood. The harness pushes ~180 curated anchor\naddresses (CEX hot wallets, DEX routers, Safe multisigs, OFAC SDN,\npublic figures, verified smart contracts) into a queue every 30\nminutes and asks each provider for an entity name. The leaderboard\nsplits the result by address kind because the two jobs measure\ndifferent things. Contract identification asks whether the provider\nreturns the name of a verified smart contract (Uniswap V3 router,\nWETH9, Aave V3 pool). Any chain explorer that reads verified source\ncode passes this trivially, so Blockscout saturates near 100% on\nevery chain it indexes. EOA identification asks whether the provider\nresolves an externally-owned account to a curated entity name\n(Binance hot wallet 14, Vitalik Buterin, OFAC SDN address). EOAs\ncarry no on-chain signal at all, the answer has to come from a\ncurated graph, which is where Mobula, Helius, TonAPI, StellarExpert\nand the chain specialists actually compete. The Kind tab at the top\nof the page switches between the two. Hits count only when the\nresponse is a meaningful name, generic fillers like \"EOA\",\n\"Contract\" or \"Wallet\" are excluded because they carry no entity\nsignal. Coverage is also reported per chain so chain-specialists\n(Helius on Solana, TonAPI on Gram, StellarExpert on Stellar, XRPScan\non XRP, WalletExplorer on Bitcoin) are not unfairly penalised for\nchains they do not claim to cover. Universal providers (Mobula,\nMoralis, Blockscout, OLI) are scored on every chain they advertise.\n","disclaimer":"Coverage means the provider returned a non-empty label for the probed address, it says nothing about label quality or correctness. Read the EOA vs contract split before concluding: a provider can look strong overall while only labeling contracts (verified-source names) and missing every wallet. The Success column is fetch reliability (share of API calls that did not error), not labeling accuracy.\n","faq":[{"q":"Which wallet labeling API has the best coverage right now?","a":"Helius currently leads the active chain tab at 84.4% (24 h) across 9 measured providers. The leaderboard re-sorts every 30 minutes against fresh Prometheus samples, so the answer reflects the last 24 hours of live audits against ~180 curated anchor addresses, not a marketing-page claim. The Kind tab at the top of the page switches between EOA coverage (entity identification on plain wallets) and contract coverage (smart-contract name resolution); the right answer depends which job your product is doing."},{"q":"What is the difference between EOA and contract coverage on this benchmark?","a":"Two different jobs, two different scores. Contract coverage measures whether the provider returns a name for a verified smart contract (Uniswap V3 router, WETH9, Aave V3 pool). The name lives in the contract's verified source code, so any chain explorer that indexes verified contracts will saturate near 100% on this tab. EOA coverage measures whether the provider resolves an externally-owned account (a plain wallet, no code) to a curated entity name (`Binance hot wallet 14`, `Vitalik Buterin`, an OFAC SDN address). EOAs carry no on-chain signal at all, the name has to come from a curated knowledge graph. The EOA tab is the honest comparison between Mobula's, Moralis's, Helius's, TonAPI's etc. label graphs; the Contract tab is the comparison between Blockscout's and other explorers' verified-source pipelines. The bench previously averaged the two together, which mechanically favoured explorers over entity-graph APIs."},{"q":"What does 'wallet labeling' mean in a crypto API?","a":"A wallet labeling API takes an address and returns an entity name. The CEX it belongs to (`Binance hot wallet 14`), the protocol (`Uniswap V3 router`), the multisig owner (`Safe: foundation treasury`), the sanctioned status (`OFAC SDN`), or a public-figure tag (`Vitalik Buterin`). Generic categorical labels like `EOA`, `Contract`, `Wallet` are not considered a hit on this benchmark because they carry no entity signal."},{"q":"Is Mobula's labels API better than Moralis or Helius?","a":"It depends on the chain and on the kind. Mobula is a universal provider audited on every chain it advertises and currently returns 43.6% on the active tab. Helius is Solana-only and dominates that chain because its label graph is curated against native Solana programs. Moralis is EVM-centric and trails on Gram, Stellar, XRP and Bitcoin. The Kind = EOA tab is where curated entity graphs (Mobula, Helius, chain specialists) actually compete; the Kind = Contract tab favours explorers like Blockscout because they read verified source code for free."},{"q":"What is the alternative to Arkham or Nansen for builders?","a":"Arkham and Nansen own the consumer visualization layer (browse-the-web-of-onchain-money). The builder side of the question, the API integrated under the hood by wallets, portfolio trackers and AML flows, lives elsewhere. Mobula, Helius, Moralis, Blockscout, OLI, TonAPI, StellarExpert, XRPScan and WalletExplorer are the labeling APIs benchmarked here. Pick the one whose coverage matches the chains your product touches and whose response shape fits your integration latency budget."},{"q":"How does OpenChainBench measure wallet label coverage?","a":"The harness maintains a curated list of ~180 publicly-known anchor addresses (CEX hot wallets, DEX routers, Safe multisigs, OFAC SDN, public figures, verified smart contracts) rotated quarterly from public sources (Etherscan public name tags, Treasury OFAC list, Safe registry). Each anchor is tagged with a kind (contract or eoa) at curation time using an on-chain code probe. Every 30 minutes each address is pushed to every provider that declares support for its chain. A `hit` is recorded only when the response is a non-generic entity name. Coverage is `success_total / checks_total` over 24 hours, sliced per chain AND per kind so chain-specialists are not penalised on chains they do not claim to cover, and the contract-name signal does not get conflated with the entity-curation signal."},{"q":"Why does Blockscout score so well on coverage?","a":"Blockscout reads verified contract source code on every chain it indexes. For any verified smart contract (Uniswap V3 router, an Aave pool, the WETH9 contract) the contract's source already contains a constructor name like `Aave V3 Pool` or `Uniswap V3 Router`, so Blockscout returns it for free without curating anything. That's why it saturates near 100% on the Contract tab. On the EOA tab Blockscout drops sharply because EOAs have no source code to read, the entity name has to come from a curated `public_tags` table which is chain-instance-specific and far less complete. The bench used to average the two jobs into one number, which made Blockscout look stronger than it actually is at the entity-curation job. The Kind tab separates the two so each provider is judged on the job it actually does."},{"q":"Which wallet labeling API has the best Solana coverage?","a":"Helius returns 84.4% on Solana. Chain-specialists dominate their home chain because their label graph is curated against native protocols (Jito stake pools, Jupiter routers, Pump.fun creators, Magic Eden marketplace programs) rather than translated from an EVM-shaped schema. Universal providers (Mobula, Moralis) are also audited on Solana, but switch the chain tab to Solana to see the direct comparison rather than the cross-chain average."}],"perChainExplainer":[{"slug":"solana","h2":"Best wallet labeling API on Solana","body":"The Solana wallet labeling leaderboard is driven by chain-specialist curation rather than universal coverage. Helius wins by default on this chain because its label graph is built directly against native Solana programs (Jito stake pools, Jupiter routers, Pump.fun creators, Magic Eden marketplace IDs) rather than translated from an EVM-shaped schema. Mobula audits Solana as part of its universal coverage and clocks 43.6% on the active Kind tab. Blockscout does not index Solana, so the per-chain leaderboard here is between Solana-native APIs.\n"},{"slug":"gram","h2":"Best wallet labeling API on Gram","body":"Gram (formerly TON) wallet labeling is essentially a two-API conversation. TonAPI ships a curated entity directory covering core Gram contracts (jettons, Telegram bot wallets, DEX routers like STON.fi and DeDust). Mobula audits Gram as part of its universal coverage. Most EVM-centric providers (Moralis, Blockscout) do not index Gram at all, so the per-chain leaderboard here surfaces the genuine specialist gap. Per the bench's coverage definition, generic categorical fillers like `EOA` or `Wallet` do not count toward a hit; only entity-grade names do.\n"},{"slug":"stellar","h2":"Best wallet labeling API on Stellar","body":"Stellar wallet labeling is dominated by StellarExpert, whose `/explorer/directory/{addr}` endpoint is the curated entity graph the rest of the Stellar ecosystem cites. The directory covers anchor issuers (Circle USDC issuer, AnchorUSD), SDF accounts, DEX market makers and SDF grant recipients. Mobula audits Stellar as part of its universal coverage. EVM-centric providers (Moralis, Blockscout) do not index Stellar, so the per-chain leaderboard reflects a specialist-heavy field rather than a universal one.\n"},{"slug":"bitcoin","h2":"Best wallet labeling API on Bitcoin","body":"Bitcoin wallet labeling is the hardest case in the benchmark because the chain has no smart contract layer to derive names from, every entity has to come from a curated graph. WalletExplorer maintains the canonical public clustering of Bitcoin addresses (exchanges, mixers, pools, OFAC SDN), and most downstream Bitcoin labeling products cite it directly. Mobula audits Bitcoin as part of its universal coverage. The Kind = Contract tab is essentially empty on Bitcoin (no verified-source contracts), so the EOA tab is the only honest comparison.\n"},{"slug":"ethereum","h2":"Best wallet labeling API on Ethereum","body":"Ethereum is the chain where the EOA vs Contract split matters most. On the Contract tab Blockscout saturates near 100% because every Uniswap V3 router, WETH9 and Aave V3 pool ships a verified-source constructor name that the explorer reads for free. On the EOA tab the comparison flips to curated entity graphs: Mobula, Moralis and OLI on Base EAS each maintain their own directory of Binance hot wallets, Safe multisigs, OFAC SDN addresses and public figures. Switch the Kind tab at the top of the page to read the side you actually need.\n"},{"slug":"base","h2":"Best wallet labeling API on Base","body":"Base wallet labeling is shaped by Coinbase's OP Stack rollup pattern. Most EVM-centric providers (Mobula, Moralis, Blockscout, OLI via Base EAS) advertise Base coverage and audit cleanly on contracts (Uniswap V4, Aerodrome, the Coinbase Wallet Smart Wallet factory). The EOA tab is the harder job here because Base wallets are dominated by retail Smart Wallets created through the Coinbase Wallet factory, which collapses to a single contract type that providers must distinguish from one another via deployment-time call data.\n"}],"subtitle":"Share of well-known addresses each provider correctly labels with an entity (CEX, DEX, multisig, sanctioned, etc.), split by EOA vs contract.","category":"Aggregators","status":"live","editorialStatus":"live","metric":"Coverage rate","unit":"pct","higherIsBetter":true,"abstract":"We benchmark how well each major wallet-labeling provider identifies a curated\nsample of publicly-known addresses across 11 chains. The harness pushes ~180\nrotating anchor addresses (Etherscan public name tags, OFAC SDN list, Safe\nmultisigs, DEX routers, public figures, verified smart contracts) onto a queue\nand asks every supported provider for an entity label. A provider scores a hit\nwhen it returns a non-generic entity name; categorical fillers like \"EOA\" or\n\"Contract\" don't count.\n\nCoverage is split by address kind because the two jobs are very different.\nContract identification asks whether the provider returns the name of a\nverified smart contract (Uniswap V3 router, WETH9, Aave V3 pool). Any chain\nexplorer that reads verified source code passes this trivially. EOA\nidentification asks whether the provider resolves an externally-owned account\nto a curated entity name (Binance hot wallet 14, Vitalik Buterin, an OFAC SDN\naddress). EOAs carry no on-chain signal, the answer comes from a curated\nknowledge graph. The Kind tab on the page switches between the two views so\nthe contract-easy providers and the entity-curated providers are no longer\naveraged into one number.\n\nCoverage is also shown per chain. Some providers cover 90+ chains (Mobula),\nothers are chain-specialists (Helius for Solana, TonAPI for Gram, StellarExpert\nfor Stellar, XRPScan for XRP, WalletExplorer for Bitcoin). Showing per-chain\nrather than aggregating prevents specialists from being unfairly penalized for\nchains they don't claim to cover.\n","methodology":["Sample: ~180 curated anchor addresses across 11 chains (CEX hot wallets, DEX routers, Safe multisigs, OFAC SDN, public figures, verified smart contracts), shuffled and re-checked every 30 minutes. List rotated quarterly from public sources.","Each anchor is tagged with a kind: `contract` (verified smart contracts where a non-generic name comes from source code) or `eoa` (externally-owned accounts where the name must come from a curated entity graph). The kind is set at curation time using an on-chain code probe (eth_getCode for EVM, equivalent RPC for non-EVM).","Kind tab on the bench page: `contract` measures contract-name resolution (easy for any explorer reading verified source), `eoa` measures entity resolution on plain wallets (the curated-graph job). The two views are separate Prometheus queries with `kind=\"contract\"` and `kind=\"eoa\"` injected into every selector.","Query each provider's labels endpoint live: Mobula `/api/2/wallet/labels`, Helius `/v1/wallet/{addr}/identity`, Moralis `/api/v2.2/entities`, Blockscout `/api/v2/addresses/{addr}`, OLI Base EAS GraphQL, TonAPI `/v2/accounts/{addr}`, StellarExpert `/explorer/directory/{addr}`, XRPScan `/api/v1/account/{addr}`, WalletExplorer `/api/1/address-lookup`.","A provider scores 'hit' when it returns a non-generic entity name. Filler labels like 'EOA', 'Contract', 'Wallet', 'Multisig', 'Unknown' are explicitly excluded, they carry no entity signal.","Per-chain leaderboards. providers are filtered by their declared chain support, so Helius (Solana-only) doesn't get penalized on Ethereum and vice versa.","Failures (timeouts, 5xx, auth errors) are counted as 'no label' and surfaced separately as `wallet_labels_fetch_errors_total`.","Region: `eu-west` (single point)."],"findings":["Helius currently leads coverage at 84.4% (24 h) on the active tab, across 9 measured providers. The number is the share of curated anchor addresses for which the provider returns a non-generic entity name, audited every 30 minutes against ~180 publicly-known addresses split by kind (contract vs EOA).","The Kind toggle separates two distinct jobs. On the Contract tab any explorer that reads verified source code (Blockscout in particular) saturates near 100% because the contract's name is already in the bytecode metadata. On the EOA tab the score reflects how well the provider's curated entity graph covers plain wallets, the actually-hard job.","Mobula returns 43.6%. Universal coverage providers score on every chain they advertise, so a single number summarizes how broad the underlying label graph actually is once chain-specialists are stripped out. Switch to the EOA tab to see the curated-entity comparison without contract names lifting every score.","Helius scores 84.4% on Solana. Chain-specialists tend to dominate their home chain because their label graph is curated against native protocols (Jito, Jupiter, Pump.fun, marketplace programs) rather than translated from an EVM-shaped schema.","Moralis returns 43.1%. EVM-centric providers usually trail on Gram, Stellar, XRP and Bitcoin because their indexers and entity graphs were built for EVM patterns and ported chains afterwards.","Blockscout sits at 43.4%. Explorer-derived labels rely on verified source code on the Contract tab and on public name tags on the EOA tab. Coverage on the Contract tab tracks how active each chain's Blockscout deployment is; on the EOA tab it tracks how curated each chain's `public_tags` table is, which is far less complete.","WalletExplorer trails at 17.6% on the active tab. The gap between leader and laggard is mostly which entities each provider's graph has been curated against: CEX hot wallets, OFAC SDN and Safe multisigs are easy hits; long-tail public figures and DEX routers separate the top tier."],"source":"https://github.com/ChainBench/OpenChainBench/tree/main/harnesses/wallet-labels","dimensions":{"chain":[{"value":"ethereum","label":"Ethereum"},{"value":"solana","label":"Solana"},{"value":"bnb","label":"BNB Chain"},{"value":"base","label":"Base"},{"value":"arbitrum","label":"Arbitrum"},{"value":"polygon","label":"Polygon"},{"value":"optimism","label":"Optimism"},{"value":"ton","label":"Gram"},{"value":"stellar","label":"Stellar"},{"value":"xrp","label":"XRP"},{"value":"bitcoin","label":"Bitcoin"}],"kind":[{"value":"eoa","label":"EOA"},{"value":"contract","label":"Contract"}]},"results":[{"name":"Mobula","slug":"mobula","tag":"Universal coverage, 90+ chains, API key required","ms":{"p50":43.5633,"p90":43.5633,"p99":43.5633,"mean":43.5633},"successRate":99.3749,"sampleSize":8639.5,"query":"100 * sum(increase(wallet_labels_success_total{provider=\"mobula\"}[24h])) / sum(increase(wallet_labels_checks_total{provider=\"mobula\"}[24h]))","formula":"Share of ~180 anchor addresses for which Mobula's /api/2/wallet/labels returns a non-generic entity name, computed as success_total ÷ checks_total over 24h.","availability":"live","meta":{"observedAt":1784679905568}},{"name":"Helius","slug":"helius","tag":"Solana specialist, native program graph, API key required","ms":{"p50":84.4396,"p90":84.4396,"p99":84.4396,"mean":84.4396},"successRate":100,"sampleSize":919.16,"query":"100 * sum(increase(wallet_labels_success_total{provider=\"helius\"}[24h])) / sum(increase(wallet_labels_checks_total{provider=\"helius\"}[24h]))","formula":"Share of Solana anchor addresses for which Helius /v1/wallet/{addr}/identity returns a non-generic entity name, success_total ÷ checks_total over 24h.","availability":"live","meta":{"observedAt":1784679905568}},{"name":"Moralis","slug":"moralis","tag":"EVM-centric multichain, entity API, API key required","ms":{"p50":43.1165,"p90":43.1165,"p99":43.1165,"mean":43.1165},"successRate":99.54610000000001,"sampleSize":1322.23,"query":"100 * sum(increase(wallet_labels_success_total{provider=\"moralis\"}[24h])) / sum(increase(wallet_labels_checks_total{provider=\"moralis\"}[24h]))","formula":"Share of anchor addresses for which Moralis /api/v2.2/entities returns a non-generic entity name across declared EVM chains, success_total ÷ checks_total over 24h.","availability":"live","meta":{"observedAt":1784679905568}},{"name":"Blockscout","slug":"blockscout","tag":"Open-source explorer, verified-source name tags, no key","ms":{"p50":43.4276,"p90":43.4276,"p99":43.4276,"mean":43.4276},"successRate":79.6379,"sampleSize":4032.7,"query":"100 * sum(increase(wallet_labels_success_total{provider=\"blockscout\"}[24h])) / sum(increase(wallet_labels_checks_total{provider=\"blockscout\"}[24h]))","formula":"Share of anchor addresses for which Blockscout /api/v2/addresses/{addr} returns a non-generic public name tag, success_total ÷ checks_total over 24h.","availability":"live","meta":{"observedAt":1784679905568}},{"name":"OLI","slug":"oli","tag":"Open Labels Initiative, Base EAS attestations, no key","ms":{"p50":50.5193,"p90":50.5193,"p99":50.5193,"mean":50.5193},"successRate":100,"sampleSize":5584.97,"query":"100 * sum(increase(wallet_labels_success_total{provider=\"oli\"}[24h])) / sum(increase(wallet_labels_checks_total{provider=\"oli\"}[24h]))","formula":"Share of anchor addresses for which the OLI Base EAS GraphQL endpoint returns a non-generic entity attestation, success_total ÷ checks_total over 24h.","availability":"live","meta":{"observedAt":1784679905568}},{"name":"TonAPI","slug":"tonapi","tag":"Gram specialist, native account graph, free 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entity name, success_total ÷ checks_total over 24h.","availability":"live"},"bitcoin":{"name":"WalletExplorer","slug":"walletexplorer","tag":"Bitcoin specialist, clustering-based entity graph, no key","ms":{"p50":17.562,"p90":17.562,"p99":17.562,"mean":17.562},"successRate":100,"sampleSize":484.084,"query":"100 * sum(increase(wallet_labels_success_total{provider=\"walletexplorer\",chain=\"bitcoin\"}[24h])) / sum(increase(wallet_labels_checks_total{provider=\"walletexplorer\",chain=\"bitcoin\"}[24h]))","formula":"Share of Bitcoin anchor addresses for which WalletExplorer /api/1/address-lookup returns a non-generic entity name, success_total ÷ checks_total over 24h.","availability":"live"}},"worstPerChain":{"ethereum":{"name":"Blockscout","slug":"blockscout","tag":"Open-source explorer, verified-source name tags, no key","ms":{"p50":40.5788,"p90":40.5788,"p99":40.5788,"mean":40.5788},"successRate":100,"sampleSize":1555.27,"query":"100 * sum(increase(wallet_labels_success_total{provider=\"blockscout\",chain=\"ethereum\"}[24h])) / sum(increase(wallet_labels_checks_total{provider=\"blockscout\",chain=\"ethereum\"}[24h]))","formula":"Share of anchor addresses for which Blockscout /api/v2/addresses/{addr} returns a non-generic public name tag, success_total ÷ checks_total over 24h.","availability":"live"},"solana":{"name":"Mobula","slug":"mobula","tag":"Universal coverage, 90+ chains, API key required","ms":{"p50":25.8977,"p90":25.8977,"p99":25.8977,"mean":25.8977},"successRate":100,"sampleSize":919.16,"query":"100 * sum(increase(wallet_labels_success_total{provider=\"mobula\",chain=\"solana\"}[24h])) / sum(increase(wallet_labels_checks_total{provider=\"mobula\",chain=\"solana\"}[24h]))","formula":"Share of ~180 anchor addresses for which Mobula's /api/2/wallet/labels returns a non-generic entity name, computed as success_total ÷ checks_total over 24h.","availability":"live"},"bnb":{"name":"OLI","slug":"oli","tag":"Open Labels Initiative, Base EAS attestations, no key","ms":{"p50":13.4431,"p90":13.4431,"p99":13.4431,"mean":13.4431},"successRate":100,"sampleSize":729.127,"query":"100 * sum(increase(wallet_labels_success_total{provider=\"oli\",chain=\"bnb\"}[24h])) / sum(increase(wallet_labels_checks_total{provider=\"oli\",chain=\"bnb\"}[24h]))","formula":"Share of anchor addresses for which the OLI Base EAS GraphQL endpoint returns a non-generic entity attestation, success_total ÷ checks_total over 24h.","availability":"live"},"base":{"name":"OLI","slug":"oli","tag":"Open Labels Initiative, Base EAS attestations, no key","ms":{"p50":41.5049,"p90":41.5049,"p99":41.5049,"mean":41.5049},"successRate":100,"sampleSize":824.143,"query":"100 * sum(increase(wallet_labels_success_total{provider=\"oli\",chain=\"base\"}[24h])) / sum(increase(wallet_labels_checks_total{provider=\"oli\",chain=\"base\"}[24h]))","formula":"Share of anchor addresses for which the OLI Base EAS GraphQL endpoint returns a non-generic entity attestation, success_total ÷ checks_total over 24h.","availability":"live"},"arbitrum":{"name":"Moralis","slug":"moralis","tag":"EVM-centric multichain, entity API, API key required","ms":{"p50":38.4181,"p90":38.4181,"p99":38.4181,"mean":38.4181},"successRate":100,"sampleSize":177.031,"query":"100 * sum(increase(wallet_labels_success_total{provider=\"moralis\",chain=\"arbitrum\"}[24h])) / sum(increase(wallet_labels_checks_total{provider=\"moralis\",chain=\"arbitrum\"}[24h]))","formula":"Share of anchor addresses for which Moralis /api/v2.2/entities returns a non-generic entity name across declared EVM chains, success_total ÷ checks_total over 24h.","availability":"live"},"polygon":{"name":"Blockscout","slug":"blockscout","tag":"Open-source explorer, verified-source name tags, no key","ms":{"p50":1.57385,"p90":1.57385,"p99":1.57385,"mean":1.57385},"successRate":100,"sampleSize":826.143,"query":"100 * sum(increase(wallet_labels_success_total{provider=\"blockscout\",chain=\"polygon\"}[24h])) / sum(increase(wallet_labels_checks_total{provider=\"blockscout\",chain=\"polygon\"}[24h]))","formula":"Share of anchor addresses for which Blockscout /api/v2/addresses/{addr} returns a non-generic public name tag, success_total ÷ checks_total over 24h.","availability":"live"},"optimism":{"name":"Moralis","slug":"moralis","tag":"EVM-centric multichain, entity API, API key required","ms":{"p50":21.1268,"p90":21.1268,"p99":21.1268,"mean":21.1268},"successRate":100,"sampleSize":213.037,"query":"100 * sum(increase(wallet_labels_success_total{provider=\"moralis\",chain=\"optimism\"}[24h])) / sum(increase(wallet_labels_checks_total{provider=\"moralis\",chain=\"optimism\"}[24h]))","formula":"Share of anchor addresses for which Moralis /api/v2.2/entities returns a non-generic entity name across declared EVM chains, success_total ÷ checks_total over 24h.","availability":"live"},"ton":{"name":"Mobula","slug":"mobula","tag":"Universal coverage, 90+ chains, API key required","ms":{"p50":6.92194,"p90":6.92194,"p99":6.92194,"mean":6.92194},"successRate":100,"sampleSize":679.118,"query":"100 * sum(increase(wallet_labels_success_total{provider=\"mobula\",chain=\"ton\"}[24h])) / sum(increase(wallet_labels_checks_total{provider=\"mobula\",chain=\"ton\"}[24h]))","formula":"Share of ~180 anchor addresses for which Mobula's /api/2/wallet/labels returns a non-generic entity name, computed as success_total ÷ checks_total over 24h.","availability":"live"},"stellar":{"name":"Mobula","slug":"mobula","tag":"Universal coverage, 90+ chains, API key required","ms":{"p50":49.7942,"p90":49.7942,"p99":49.7942,"mean":49.7942},"successRate":100,"sampleSize":486.084,"query":"100 * sum(increase(wallet_labels_success_total{provider=\"mobula\",chain=\"stellar\"}[24h])) / sum(increase(wallet_labels_checks_total{provider=\"mobula\",chain=\"stellar\"}[24h]))","formula":"Share of ~180 anchor addresses for which Mobula's /api/2/wallet/labels returns a non-generic entity name, computed as success_total ÷ checks_total over 24h.","availability":"live"},"xrp":{"name":"XRPScan","slug":"xrpscan","tag":"XRP Ledger specialist, account name lookup, no key","ms":{"p50":80.0412,"p90":80.0412,"p99":80.0412,"mean":80.0412},"successRate":100,"sampleSize":486.084,"query":"100 * sum(increase(wallet_labels_success_total{provider=\"xrpscan\",chain=\"xrp\"}[24h])) / sum(increase(wallet_labels_checks_total{provider=\"xrpscan\",chain=\"xrp\"}[24h]))","formula":"Share of XRP anchor addresses for which XRPScan /api/v1/account/{addr} returns a non-generic entity name, success_total ÷ checks_total over 24h.","availability":"live"},"bitcoin":{"name":"WalletExplorer","slug":"walletexplorer","tag":"Bitcoin specialist, clustering-based entity graph, no key","ms":{"p50":17.562,"p90":17.562,"p99":17.562,"mean":17.562},"successRate":100,"sampleSize":484.084,"query":"100 * sum(increase(wallet_labels_success_total{provider=\"walletexplorer\",chain=\"bitcoin\"}[24h])) / sum(increase(wallet_labels_checks_total{provider=\"walletexplorer\",chain=\"bitcoin\"}[24h]))","formula":"Share of Bitcoin anchor addresses for which WalletExplorer /api/1/address-lookup returns a non-generic entity name, success_total ÷ checks_total over 24h.","availability":"live"}},"providersPerChain":{"ethereum":["mobula","moralis","blockscout","oli"],"solana":["mobula","helius"],"bnb":["mobula","moralis","oli"],"base":["mobula","moralis","blockscout","oli"],"arbitrum":["mobula","moralis","oli"],"polygon":["mobula","moralis","blockscout","oli"],"optimism":["mobula","moralis","blockscout","oli"],"ton":["mobula","tonapi"],"stellar":["mobula","stellarexpert"],"xrp":["xrpscan"],"bitcoin":["walletexplorer"]},"dataAsOf":1784679905568},{"slug":"l2-block-time","number":"009","title":"Fastest L2 block time, live across Robinhood, Arbitrum, Base and 7 more","seoTitle":"Fastest L2 block time 2026","seoDescription":"Fastest L2 sequencer block time live: Robinhood Chain, Arbitrum, Optimism, Base, Linea and more ranked by real block interval.","seoIntro":"This benchmark measures the live block time of every major Ethereum Layer 2, the actual wall-clock interval between two consecutive newHeads events on the sequencer, not the marketing figure each chain advertises. Arbitrum One leads with sub-second blocks (~250 ms median), built on Nitro's fast-finality fork. Optimism, Base, Blast and Mantle all cluster around the 2 s OP Stack default. zkSync Era, Linea and Scroll show batched cadence with p50 around 3-6 s and a long tail on idle gaps. Taiko's based rollup sits at the 3 s mark. The p99 column reveals stalls 2-3× the nominal block time on every L2, the part marketing pages never quote.\n","faq":[{"q":"What is the fastest Layer 2 block time?","a":"Arbitrum One leads the leaderboard at sub-second block times, typically 200-300 ms median, occasionally spiking past 800 ms under load. Arbitrum Nitro's fast-finality fork is the reason: it commits blocks every 250 ms by default, far below the 2 s convention used by most OP Stack chains."},{"q":"Why are Base and Optimism block times so similar?","a":"Base and Optimism both run the OP Stack with the same default sequencer cadence (2 s). Blast and Mantle are also OP Stack forks, their block times cluster identically. The architectural similarity is by design: OP Stack is meant to be a turnkey rollup framework where the sequencer interval is a configuration constant, not a chain-specific design choice."},{"q":"What is the block time on zkSync Era, Linea, and Scroll?","a":"zk rollups produce blocks in bursts rather than at a fixed cadence. p50 sits around 3-6 s but p90 / p99 can balloon to 15-30 s during idle periods because the sequencer waits for enough transactions to fill a batch before generating the validity proof. The nominal '2 s block time' those chains advertise is the within-burst figure, not the median observed externally."},{"q":"Is L2 block time the same as L2 finality?","a":"No. Block time measures how often the sequencer produces a block, it's a soft confirmation, reversible if the sequencer decides to. Finality on an L2 means the L1 anchor batch is final on Ethereum, which takes 12-18 minutes (block posting + 12.8 min Casper finality) at best, and 7 days for optimistic rollups under contestation. We track the latter in a separate bench."},{"q":"How is the L2 block time measured here?","a":"We hold one persistent WebSocket subscription per L2 via `eth_subscribe('newHeads')`. Every new head event is timestamped on receipt and the difference between consecutive events is the block-time sample. p50 / p90 / p99 are computed via Prometheus `quantile_over_time` over the last 24 h. Reconnect artifacts above 5 min are filtered so a network blip can't skew the percentiles."},{"q":"What about Polygon zkEVM, Mode, Starknet and the rest?","a":"Polygon zkEVM and Mode don't expose a public WebSocket endpoint without an API key, so we defer them to v2 when an API-keyed contributor endpoint lands. Starknet uses the Cairo stack with a different RPC shape, it would live in a dedicated bench rather than be shoehorned into the EVM cohort here. Berachain, Sonic and other adjacent chains are L1s, not L2s, so they live in the l1-finality bench."}],"perChainExplainer":[{"slug":"robinhood","h2":"Robinhood Chain block time","body":"Robinhood Chain block time is 80 ms (p50, 24h), the most aggressive cadence in the cohort: the Arbitrum Orbit stack lets Robinhood's sequencer target ~100 ms blocks for tokenized-stock settlement. The chain launched mainnet on July 1, 2026, pays gas in ETH and settles to Ethereum blobs. Measurement note: Robinhood exposes no public WebSocket, so block time here is derived from block-number deltas over 2-second HTTP poll windows, an accurate average that does not capture per-block jitter.\n"},{"slug":"arbitrum","h2":"Arbitrum One block time","body":"Arbitrum One block time is 308 ms (p50, 24h). Arbitrum Nitro defaults to a 250 ms sequencer interval, by far the most aggressive cadence in the L2 cohort, made possible because the Nitro stack decouples block production from L1 anchoring and runs a single Offchain Labs sequencer that posts batches to Ethereum asynchronously. Measured by holding an `eth_subscribe(\"newHeads\")` WebSocket on the public Arbitrum RPC and recording wall-clock deltas between consecutive head events.\n"},{"slug":"optimism","h2":"Optimism block time","body":"Optimism block time is 1.91 s (p50, 24h). The OP Stack ships with a hard-coded 2 second sequencer interval, which is what the Optimism Foundation sequencer commits to; the L2 only produces a new block when that timer fires, even on empty traffic. Settlement is on Ethereum via blob calldata after Dencun. Measured by holding a persistent `newHeads` WebSocket against the public Optimism sequencer RPC and reporting the inter-arrival delta.\n"},{"slug":"base","h2":"Base block time","body":"Base block time is 1.93 s (p50, 24h). Base is operated by Coinbase on the OP Stack and inherits its 2 second sequencer cadence; Coinbase has publicly tested a Flashblocks pre-confirmation path at 200 ms but the canonical `newHeads` stream still emits one block every 2 s. Settlement posts to Ethereum via EIP-4844 blobs. Measured live by subscribing to `newHeads` on the public Base sequencer WebSocket and computing T(N+1) minus T(N) in milliseconds.\n"},{"slug":"zksync","h2":"zkSync Era block time","body":"zkSync Era block time is 3.40 s (p50, 24h). zkSync Era is a zk-rollup with a Matter Labs-operated sequencer; block production is batched because the prover must generate a SNARK before the batch is finalized on Ethereum, so within a busy burst blocks land near 1 s but the median drifts up during quiet periods when the sequencer waits to fill a batch. Measured via the `era.zksync.io/ws` WebSocket and `newHeads` inter-arrival deltas.\n"},{"slug":"linea","h2":"Linea block time","body":"Linea block time is 4.82 s (p50, 24h). Linea is a Consensys-operated zkEVM with a single sequencer feeding a prover that produces PLONK-family proofs posted to Ethereum; the documented target is a 2 s slot but observed cadence is governed by prover throughput, so idle windows stretch into multi-second gaps that lift the median above the nominal slot time. Measured by holding `newHeads` on the public Linea RPC.\n"},{"slug":"scroll","h2":"Scroll block time","body":"Scroll block time is 4.33 s (p50, 24h). Scroll is a bytecode-equivalent zkEVM running a centralized sequencer that batches transactions for a Halo2-based prover; the nominal block target is 3 s but the practical floor is driven by the prover-batch cadence, identical in shape to Linea and zkSync, with a long idle tail when traffic is sparse. Measured via the public Scroll WebSocket and `newHeads` deltas.\n"},{"slug":"blast","h2":"Blast block time","body":"Blast block time is 1.98 s (p50, 24h). Blast is an OP Stack fork operated by the Blast team with the same 2 s sequencer default as Optimism and Base, layered with native yield on ETH and USDB deposits that auto-rebase against L1 staking and T-bill yields. Settlement is on Ethereum via blob calldata. Measured live by holding a `newHeads` WebSocket against the Blast sequencer RPC.\n"},{"slug":"mantle","h2":"Mantle block time","body":"Mantle block time is 1.77 s (p50, 24h). Mantle is an OP Stack fork with a Mantle Foundation sequencer at the OP Stack 2 s default, but it swaps Ethereum calldata for EigenDA as the data-availability layer, which decouples DA cost from L1 blob price without changing the L2 block cadence the user sees. Measured via `newHeads` inter-arrival on the public Mantle sequencer WebSocket.\n"},{"slug":"taiko","h2":"Taiko block time","body":"Taiko block time is 1.99 s (p50, 24h). Taiko is a based rollup: there is no centralized sequencer; Ethereum L1 validators sequence Taiko blocks directly by including L2 proposals in L1 blocks, which means Taiko's effective slot is bounded below by Ethereum's 12 s slot. The architecture trades raw L2 cadence for inheriting Ethereum's liveness and censorship-resistance. Measured via `newHeads` on the public Taiko WebSocket.\n"}],"subtitle":"Wall-clock interval in milliseconds between two consecutive newHeads events on each L2 sequencer, refreshed continuously.","category":"Blockchains","status":"live","editorialStatus":"live","metric":"Block time","unit":"ms","higherIsBetter":false,"abstract":"We measure the live block time of every major Ethereum L2 by holding a\npersistent WebSocket subscription to `eth_subscribe(\"newHeads\")` on each\nsequencer. The harness records T1 when block N arrives and T2 when\nblock N+1 arrives; the sample is wall-clock T2 − T1 in milliseconds.\np50 / p90 / p99 are computed via Prometheus `quantile_over_time` over\nthe 24 h window. The histogram bucket boundaries (50 ms → 60 s) cover\nthe full range from Arbitrum's sub-second cadence to zk-rollup batching\ngaps. Disconnects reconnect with exponential backoff and the natural\noutlier sample is capped at 5 min so a reconnect can't pollute p50.\n","methodology":["Robinhood Chain exception: the sequencer exposes no public WebSocket, so its block time is derived from eth_blockNumber deltas polled every 2 seconds over HTTP. A window that advanced N blocks contributes N samples of (elapsed / N) ms, which preserves per-block weighting and yields an accurate average; per-block jitter is not captured on this chain and this note is the disclosure.","Cadence: continuous WebSocket subscription per L2, one persistent connection, no polling.","Subscribe payload: `{\"jsonrpc\":\"2.0\",\"id\":1,\"method\":\"eth_subscribe\",\"params\":[\"newHeads\"]}`. No API key, public endpoints (publicnode.com mostly, era.zksync.io/ws for zkSync).","Sample: block-time(N) = T_recv(N) − T_recv(N-1), measured in milliseconds with `time.Now()` precision on the harness clock. Block-number duplicates from the same connection are filtered.","Sanity bound: any single sample > 5 min is dropped (reconnect artifact, never a real block-time).","Reconnect logic: exponential backoff 2 s → 60 s on dial / read errors. Per-chain `l2_block_time_reconnects_total` counter exposed for instability alerting.","Endpoint health: client-side ping every 30 s defensive against idle close, pong handler resets the read deadline. publicnode and era.zksync.io endpoints verified live for 90-second windows during harness inception (full table in the harness README).","Excluded by design: Polygon zkEVM and Mode (no public no-key WS available, would require an API-keyed contributor endpoint; deferred to v2). Starknet excluded, Cairo stack with a different RPC shape, would live in its own bench."],"findings":["Robinhood Chain currently leads at 80 ms (p50, 24 h), by far the fastest sequencer in the cohort.","Optimism, Base, Blast and Mantle all sit around 2 s, matching the OP Stack's default sequencer interval (1.91 s / 1.93 s / 1.98 s / 1.77 s).","zkSync Era, Linea and Scroll show variable p50 with a long tail, block production batches when traffic is low (3.40 s / 4.82 s / 4.33 s).","Taiko clocks 1.99 s on a based-rollup design where Ethereum L1 validators sequence the L2 directly, fundamentally different from the sequencer model used by every other chain in this leaderboard.","10 L2s measured live. Trailing the leaderboard: Linea at 4.82 s (p50)."],"source":"https://github.com/ChainBench/OpenChainBench/tree/main/harnesses/l2-block-time","results":[{"name":"Robinhood Chain","slug":"robinhood","tag":"Arbitrum Orbit, ~100ms blocks, HTTP-polled (no public WSS)","ms":{"p50":80.0677,"p90":146.377,"p99":197.3,"mean":99.0872},"successRate":100,"sampleSize":862144,"query":"histogram_quantile(0.50, sum(rate(l2_block_time_milliseconds_histogram_bucket{chain=\"robinhood\"}[24h])) by (le))","formula":"Median milliseconds per block on Robinhood Chain, derived from eth_blockNumber deltas over 2s HTTP poll windows (no public WebSocket), p50 over 24h.","availability":"live","meta":{"observedAt":1784679878955}},{"name":"Arbitrum One","slug":"arbitrum","tag":"Nitro fast-finality, sub-second sequencer","ms":{"p50":307.603,"p90":462.407,"p99":497.238,"mean":249.672},"successRate":99.375,"sampleSize":342883,"query":"histogram_quantile(0.50, sum(rate(l2_block_time_milliseconds_histogram_bucket{chain=\"arbitrum\"}[24h])) by (le))","formula":"Median wall-clock milliseconds between consecutive `newHeads` events from the Arbitrum One sequencer WebSocket, capturing Nitro's ~250ms cadence, p50 over 24h.","availability":"live","meta":{"observedAt":1784679878955}},{"name":"Optimism","slug":"optimism","tag":"OP Stack default, 2 s sequencer","ms":{"p50":1914.76,"p90":2786.48,"p99":2986.52,"mean":1999.64},"successRate":99.16669999999999,"sampleSize":42714.4,"query":"histogram_quantile(0.50, sum(rate(l2_block_time_milliseconds_histogram_bucket{chain=\"optimism\"}[24h])) by (le))","formula":"Median wall-clock milliseconds between consecutive `newHeads` events on the Optimism sequencer WebSocket, matching the OP Stack 2s default cadence, p50 over 24h.","availability":"live","meta":{"observedAt":1784679878955}},{"name":"Base","slug":"base","tag":"OP Stack, 2 s sequencer","ms":{"p50":1934.36,"p90":2785.19,"p99":2978.83,"mean":1999.87},"successRate":99.4444,"sampleSize":42911.4,"query":"histogram_quantile(0.50, sum(rate(l2_block_time_milliseconds_histogram_bucket{chain=\"base\"}[24h])) by (le))","formula":"Median wall-clock milliseconds between consecutive `newHeads` events on the Base sequencer WebSocket, tracking the OP Stack 2s interval, p50 over 24h.","availability":"live","meta":{"observedAt":1784679878955}},{"name":"zkSync Era","slug":"zksync","tag":"zk-rollup, batched producer","ms":{"p50":3396.9,"p90":18556.9,"p99":50983.5,"mean":6861.02},"successRate":99.86110000000001,"sampleSize":12553.2,"query":"histogram_quantile(0.50, sum(rate(l2_block_time_milliseconds_histogram_bucket{chain=\"zksync\"}[24h])) by (le))","formula":"Median wall-clock milliseconds between consecutive `newHeads` events on the zkSync Era WebSocket, capturing batched zk-rollup cadence (within-burst vs idle gap), p50 over 24h.","availability":"live","meta":{"observedAt":1784679878955}},{"name":"Linea","slug":"linea","tag":"zk-rollup, prover-bound cadence","ms":{"p50":4816.2,"p90":14431.4,"p99":28120.7,"mean":6863.79},"successRate":99.3056,"sampleSize":12474.2,"query":"histogram_quantile(0.50, sum(rate(l2_block_time_milliseconds_histogram_bucket{chain=\"linea\"}[24h])) by (le))","formula":"Median wall-clock milliseconds between consecutive `newHeads` events on the Linea sequencer WebSocket, governed by prover-bound batching, p50 over 24h.","availability":"live","meta":{"observedAt":1784679878955}},{"name":"Scroll","slug":"scroll","tag":"zkEVM rollup, prover-bound cadence","ms":{"p50":4330.14,"p90":27123.2,"p99":59892.5,"mean":9424.91},"successRate":98.8194,"sampleSize":8926.55,"query":"histogram_quantile(0.50, sum(rate(l2_block_time_milliseconds_histogram_bucket{chain=\"scroll\"}[24h])) by (le))","formula":"Median wall-clock milliseconds between consecutive `newHeads` events on the Scroll zkEVM sequencer WebSocket, with prover-bound batching driving the cadence, p50 over 24h.","availability":"live","meta":{"observedAt":1784679878955}},{"name":"Blast","slug":"blast","tag":"OP Stack fork, 2 s sequencer + native yield","ms":{"p50":1982.65,"p90":2796.86,"p99":2980.2,"mean":2000.04},"successRate":98.8889,"sampleSize":42617.4,"query":"histogram_quantile(0.50, sum(rate(l2_block_time_milliseconds_histogram_bucket{chain=\"blast\"}[24h])) by (le))","formula":"Median wall-clock milliseconds between consecutive `newHeads` events on the Blast sequencer WebSocket, tracking the OP Stack fork's 2s interval, p50 over 24h.","availability":"live","meta":{"observedAt":1784679878955}},{"name":"Mantle","slug":"mantle","tag":"OP Stack fork, modular DA, 2 s sequencer","ms":{"p50":1767.79,"p90":2713.91,"p99":2972.11,"mean":2000.01},"successRate":99.375,"sampleSize":42874.4,"query":"histogram_quantile(0.50, sum(rate(l2_block_time_milliseconds_histogram_bucket{chain=\"mantle\"}[24h])) by (le))","formula":"Median wall-clock milliseconds between consecutive `newHeads` events on the Mantle sequencer WebSocket, tracking the OP Stack fork's 2s interval, p50 over 24h.","availability":"live","meta":{"observedAt":1784679878955}},{"name":"Taiko","slug":"taiko","tag":"Based rollup, L1-sequenced by Ethereum validators","ms":{"p50":1986.08,"p90":2814.53,"p99":3096.02,"mean":2000.36},"successRate":97.3611,"sampleSize":40781.1,"query":"histogram_quantile(0.50, sum(rate(l2_block_time_milliseconds_histogram_bucket{chain=\"taiko\"}[24h])) by (le))","formula":"Median wall-clock milliseconds between consecutive `newHeads` events on Taiko's based-rollup WebSocket, with Ethereum L1 validators driving sequencing, p50 over 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free public RPC for Ethereum, BNB, Polygon and 23 more chains (plus Solana and Polkadot)","seoTitle":"Fastest free public RPC 2026","seoDescription":"Fastest free public RPC live on eth_getBlockByNumber p50. dRPC, PublicNode, Tenderly, Nodies, Lava ranked.","seoIntro":"This benchmark answers the question every developer reaching for a\nfree public RPC asks before pasting a URL into their dapp. which\nno-key endpoint is actually fast and reliable right now, on the\nchain my product runs on. Alchemy and Infura own the keyed-tier\nmarket; the free public side of the question lives elsewhere, in\nthe RPC services dapps hit when a contributor's free quota is the\nbudget. We probe `eth_getBlockByNumber` every 60 seconds against\naudited providers across 26 chains (24 EVM plus Solana and\nPolkadot). PublicNode, dRPC, MeowRPC, Tenderly Gateway, Nodies\n(POKT), Lava Network, Flashbots Protect, bloXroute, OnFinality\nand chain-official foundation endpoints (Base, Binance BSC,\nAvalanche, Arbitrum, Optimism, Sonic, Gnosis, Celo, Blast, Taiko,\nMoonbeam, Berachain, zkSync, Cronos, Fraxtal, Unichain, Soneium,\nMonad, MegaETH, Parity for Polkadot, Solana Labs).\nChain footprint spans the L1/L2 majors down to long-tail chains. The headline question is per chain, not cross-chain. Five\nproviders are single-chain by design (the foundation endpoints\nabove), so a cross-chain aggregate mechanically rewards whichever\nsingle-chain endpoint happens to be fastest on its one chain.\nCurrent per-chain leaders. Ethereum dRPC\nat 18 ms, Base PublicNode at\n95 ms, BNB dRPC at\n17 ms, Arbitrum PublicNode at\n90 ms. Use the chain tab above to filter the\nleaderboard. Latency is the headline; the leaderboard also exposes\ncall-result classification (`ok` vs `http_err` vs `jsonrpc_err` vs `stale` vs\n`timeout`, the Cloudflare-eth trap where a 200 OK hides a JSON-RPC\nerror field) and archive-depth support so a fast endpoint that\nreturned a state-pruned response at block (head, 5M) is not\nsilently treated as a viable archive source.\n","disclaimer":"Latency is conditional on success: the harness times only calls returning a valid fresh block, so a mostly-failing endpoint can post a fast p50. Rows below 50 percent success are degraded; unresponsive probes pin below the table. The All chains aggregate favours single-chain foundation endpoints (Base, Binance, Arbitrum, Optimism, Avalanche officials) since they rank on one chain only; use a chain tab for honest comparison. Dead endpoints (cloudflare-eth POST returns -32603) are excluded.\n","faq":[{"q":"What is the fastest free public RPC right now?","a":"The question is per chain because several providers are single-chain by design (Base official, Binance, Arbitrum Foundation, Optimism Foundation, Avalanche) and a cross-chain aggregate mechanically rewards whichever single-chain endpoint happens to be fastest on its one chain. Current per-chain leaders. Ethereum dRPC at 18 ms, Base PublicNode at 95 ms, BNB Chain dRPC at 17 ms, Arbitrum PublicNode at 90 ms. The leaderboard re-sorts every 60 seconds against fresh Prometheus samples averaged across us-east, eu-west and sgp probes. Switch the chain tab to see the leader on the network your product runs on."},{"q":"Which public RPCs work without an API key in 2026?","a":"Audited providers across 26 chains (24 EVM plus Solana and Polkadot). Universal multi-chain: PublicNode, dRPC, Tenderly Gateway (`gateway.tenderly.co/public/<slug>`), Nodies (POKT at `*-pokt.nodies.app`). Ethereum-specific or limited footprint: MeowRPC (ETH + Arbitrum only), Flashbots Protect, Lava Network (ETH + Arbitrum + Sonic + Solana no-key). Chain-official foundation RPCs: Arbitrum, Optimism, Base, Avalanche, BNB, Sonic, Gnosis, Celo, Blast, Taiko, Moonbeam, Berachain, zkSync, Cronos, Fraxtal, Unichain, Soneium, Monad, MegaETH, Parity for Polkadot, Solana Labs, plus regional gateways like OnFinality and bloXroute. Excluded: Ankr (key-gated), gateway.fm (29 req/IP), LlamaRPC / BlockPI / OmniaTech (Cloudflare 521 region-blocked), Alchemy demo (rate-limited dead), NodeReal / GetBlock / Chainstack (key-gated), cloudflare-eth (POST returns -32603)."},{"q":"Does Cloudflare still have a free Ethereum RPC that works?","a":"Partially, and the trend is the wrong way. Cloudflare's public Ethereum gateway (cloudflare-eth) switched to a permissioned mode for many JSON-RPC methods. The endpoint still answers HTTP 200 quickly, but the body is increasingly a JSON-RPC error (`-32046 Cannot fulfill request`) rather than a block. This benchmark catches the trap by classifying a call as `ok` only when the HTTP status is 200 AND the JSON-RPC body has a usable `result` field, so Cloudflare's real success rate is visible in the Success column instead of hiding behind fast error responses. Latency without reliability is a misleading ranking signal for a public RPC."},{"q":"Why can an RPC with a low success rate still show a fast latency?","a":"Latency percentiles are computed only from successful calls. The harness records a round-trip time when a probe returns a valid, fresh block; HTTP errors, JSON-RPC error bodies, timeouts and stale responses increment the `rpc_call_total` counter but never enter the latency distribution. An endpoint failing 60 percent of its calls is therefore timed only on the 40 percent that succeed, which can make it look faster than a healthy provider doing real work on every request. That is why the leaderboard pairs every latency figure with a Success column computed as ok calls over total calls in the same 24h window. Read rows below 50 percent success as degraded regardless of their p50. Providers under 5 percent success are dropped from the ranking and pinned below the table as unresponsive."},{"q":"Which free RPC supports Ethereum archive node calls?","a":"Most free public RPCs are state-pruned, so `eth_getBalance` at block (head, 5,000,000) returns an error rather than the historical balance. This benchmark probes five depths (300, 7,200, 216,000, 1,296,000, 5,000,000 blocks) every five minutes and exposes a gauge per provider per depth. The page surfaces a per-provider archive-depth badge: a green tick at the 5M tier means full historical state is available for free without a key. Anything pruned at 7200 confirms the endpoint is on a Geth default config and only serves the last ~24 hours."},{"q":"How is RPC latency measured on OpenChainBench?","a":"The harness issues a single `eth_getBlockByNumber` JSON-RPC POST every 60 seconds against each (provider, chain) pair from each of 3 regions (us-east, eu-west, sgp), using the same plain HTTP client for every endpoint. Wall-clock delta around the round-trip is recorded with millisecond precision and pushed to both a gauge and a histogram. p50/p90/p99 are computed via Prometheus `quantile_over_time` over the last 24 hours. Stale-head detection compares each response against the cross-provider tip and flags anything more than 20 blocks behind as `stale`, so a dead endpoint stuck on yesterday's block cannot rank as the fastest."},{"q":"Are public RPCs production-grade for a dapp?","a":"Read the success-rate column before deciding. A median latency under 100 ms is irrelevant if the endpoint silently returns a JSON-RPC error 5% of the time or stalls during an L1 reorg. Free public RPCs share rate-limit budgets with the entire internet and have no SLA. They are good for read-heavy demos, local development and fallback paths; production dapps usually graduate to a keyed tier (Alchemy, QuickNode, Infura) for `eth_sendRawTransaction`, websocket subscriptions and archive queries beyond Geth's pruned cap. This benchmark measures the no-key tier specifically because that is the unmeasured part of the market."}],"subtitle":"HTTP round-trip latency for eth_getBlockByNumber against free, no-key public RPC endpoints across 26 chains (24 EVM plus Solana and Polkadot), audited every 60 seconds.","category":"RPCs","status":"live","editorialStatus":"live","metric":"RPC latency","unit":"ms","higherIsBetter":false,"abstract":"We measure the round-trip latency of a single, identical RPC call\n(`eth_getBlockByNumber` for EVM chains, `getSlot` for Solana,\n`chain_getHeader` for Polkadot) against every major no-key public\nRPC endpoint, across 26 chains (24 EVM plus Solana and Polkadot).\nThe\nharness emits three metric families from one binary because they\nshare the same (provider × chain) client matrix and same 15 s\nscrape interval: (a) `rpc_latency_milliseconds` for the speed\nleaderboard, (b) `rpc_call_total{result}` for the reliability and\nsilent-failure analysis, (c) `rpc_archive_depth_supported{depth}`\nfor an honest read on which endpoints actually serve historical\nstate. The depth set covers Geth's default pruned cap (~5760\nblocks) up through genesis-era archive (5M blocks). Stale-head\ndetection compares each provider's reported block against the\ncross-provider tip and flags anything more than 20 blocks behind\nso a dead endpoint stuck on an old number is not silently ranked\nas the fastest. Latency is recorded only for successful calls, so\nevery percentile is conditional on success; the `rpc_call_total`\ncounters are the companion signal that keeps a mostly failing\nendpoint from reading as fast.\n","methodology":["Cadence: every 60 seconds per (provider, chain) pair, from each of 3 Railway replicas (us-east Virginia, eu-west Amsterdam, sgp Singapore). The harness stamps a `region` label on every metric from `$RAILWAY_REPLICA_REGION`. Headline p50/p90/p99 are the mean of per (chain, region) `quantile_over_time` cells: all 3 regions, and on the All chains tab every chain the provider serves. Per-region breakdowns are on the time-series chart.","Payload: `{\"jsonrpc\":\"2.0\",\"id\":<rotating>,\"method\":\"eth_getBlockByNumber\",\"params\":[\"latest\",false]}`. Plain HTTP POST, identical for every endpoint, no API key in any request. Non-cacheable by design: the latest-header fetch with a rotating id defeats edge caches that answer eth_blockNumber without touching a node.","Latency: client-side `time.Now()` delta around the round-trip, in milliseconds. Exposed as both a gauge (`rpc_latency_milliseconds`) and a histogram (`rpc_latency_milliseconds_histogram`) with buckets 50 ms → 10 s, so p50/p90/p99 are computed via Prometheus `histogram_quantile` / `quantile_over_time`. Latency is recorded only for calls classified `ok`; failed calls never enter the latency distribution, so every percentile is conditional on success.","Call-result classification: `ok` (HTTP 200 + non-empty result), `http_err` (status ≠ 200 or transport failure), `jsonrpc_err` (HTTP 200 with an `error` field, the Cloudflare-eth trap), `stale` (returned block more than 20 behind the cross-provider tip for that chain), `timeout`. Counter `rpc_call_total{result}` powers the reliability leaderboard.","Success gating: because failed probes record no latency, a mostly failing endpoint can post a fast p50 from its rare successes. The ledger pairs every latency figure with a Success column computed as ok calls over total calls in the same 24h window; read rows below 50 percent success as degraded. Providers with under 5 percent success lose their latency series to Prometheus staleness and are pinned below the table as unresponsive instead of being ranked.","Archive depth: every 5 minutes we issue `eth_getBalance` at (head, depth) for `depth` in {300, 7200, 216_000, 1_296_000, 5_000_000}. Gauge `rpc_archive_depth_supported{depth}` is 1 when the response is non-pruned, 0 otherwise. The 300/7200 thresholds cover Geth's default pruned-cap range; 216k ≈ 1 month; 1.3M ≈ 6 months; 5M ≈ genesis-era full archive.","Chain coverage: 26 chains (24 EVM plus Solana and Polkadot). EVM majors: Ethereum, Arbitrum, Base, Optimism, Avalanche, BNB, Polygon, Linea, Scroll, Mantle. EVM long-tail: Sonic, Gnosis, Celo, Blast, Taiko, Moonbeam, Berachain, zkSync, Cronos, Fraxtal, Unichain, Soneium, Monad, MegaETH. Non-EVM: Solana (getSlot probe), Polkadot (chain_getHeader probe). Provider matrix per chain is documented in `harnesses/rpc-capabilities/cmd/script/config.go`.","Excluded: 1RPC (delisted 2026-07-09, under 13% success even at two chains and one probe per minute), Ankr (key-gated), gateway.fm (29 req/IP budget too tight for 15s polling), LlamaRPC + BlockPI + OmniaTech (Cloudflare 521 region-blocked), Alchemy demo (rate-limited dead), NodeReal + GetBlock + Chainstack (key-gated). Blink, formerly Merkle (no public eth_getBlockByNumber) + Lava and MeowRPC outside ETH/Arb excluded. Every (provider, chain) was live-verified no-key before inclusion."],"findings":["Per-chain leaders, not a cross-chain crown. On Ethereum the current leader is dRPC at 18 ms (p50, 24 h) across 8 measured providers, the largest cohort in this bench. Ethereum is also the chain where Cloudflare-eth's `jsonrpc_err` traps the lazy reader.","On Base the leader is PublicNode at 95 ms (p50, 24 h) across 5 providers. Base sees Coinbase's `mainnet.base.org` go head-to-head with PublicNode, dRPC, Tenderly and Nodies, an unusually clean comparison because the chain-official endpoint is operated by the same team that runs the sequencer.","On BNB Chain the leader is dRPC at 17 ms (p50, 24 h) across 4 providers. Binance's `bsc-dataseed1` is the incumbent, but PublicNode and dRPC have closed the gap on EU origin nodes.","On Arbitrum the leader is PublicNode at 90 ms (p50, 24 h) across 7 providers. Arbitrum is the second-largest cohort and one of the few chains where Lava and MeowRPC compete on a no-key tier alongside PublicNode and the Arbitrum Foundation's own endpoint.","PublicNode returns 122 ms on the unfiltered aggregate (mean of its per chain, per region 24h p50s). PublicNode (operated by Allnodes) is the de-facto default no-key RPC for many dapps because it terminates close to a large EU-anchored validator footprint and is one of the few providers present on most measured chains.","dRPC sits at 187 ms on the unfiltered aggregate (mean of its per chain, per region 24h p50s). dRPC is a decentralized RPC mesh that routes each request across third-party node providers with consensus checks, so latency tracks the median of the underlying mesh rather than a single host.","Cloudflare-eth is a cautionary tale. The endpoint returns HTTP 200 in well under a second, but a growing share of calls now resolve to `jsonrpc_err -32046 Cannot fulfill request` rather than a usable block, reliability is measured by `rpc_call_total{result=\"ok\"} / rpc_call_total` rather than HTTP status alone.","Single-chain providers (Base official, Binance, Arbitrum Foundation, Optimism Foundation, Avalanche) mechanically inflate a cross-chain aggregate because they only emit metrics for their one chain. Read the leaderboard per chain and the comparison stays honest."],"source":"https://github.com/ChainBench/OpenChainBench/tree/main/harnesses/rpc-capabilities","dimensions":{"chain":[{"value":"all","label":"All chains"},{"value":"ethereum","label":"Ethereum"},{"value":"polygon","label":"Polygon"},{"value":"arbitrum","label":"Arbitrum"},{"value":"optimism","label":"Optimism"},{"value":"base","label":"Base"},{"value":"bnb","label":"BNB Chain"},{"value":"avalanche","label":"Avalanche"},{"value":"linea","label":"Linea"},{"value":"scroll","label":"Scroll"},{"value":"mantle","label":"Mantle"}],"region":[{"value":"all","label":"All regions"},{"value":"us-east","label":"US-East"},{"value":"eu-west","label":"EU-West"},{"value":"sgp","label":"Singapore"}]},"results":[{"name":"PublicNode","slug":"publicnode","tag":"Allnodes-operated, 70+ chains, archive on most","ms":{"p50":121.609,"p90":248.883,"p99":460.399,"mean":149.509},"successRate":99.998,"sampleSize":99345.2,"query":"avg(ocb:rpc_latency_milliseconds:p50_24h{provider=\"publicnode\"})","formula":"Mean over its measured chains and 3 regions of per cell 24h p50 round-trip latency (ms) for `eth_getBlockByNumber` sent every 60s to PublicNode's no-key endpoint. Successful calls only; failures show in the Success column.","availability":"live","meta":{"observedAt":1784679898627}},{"name":"dRPC","slug":"drpc","tag":"Decentralized RPC mesh, consensus-checked","ms":{"p50":187.465,"p90":271.208,"p99":494.56,"mean":203.775},"successRate":82.3678,"sampleSize":103675,"query":"avg(ocb:rpc_latency_milliseconds:p50_24h{provider=\"drpc\"})","formula":"Mean over its measured chains and 3 regions of per cell 24h p50 round-trip latency (ms) for `eth_getBlockByNumber` sent every 60s to dRPC's decentralized mesh. Successful calls only; failures show in the Success column.","availability":"live","meta":{"observedAt":1784679898627}},{"name":"MeowRPC","slug":"meowrpc","tag":"Free public RPC, no registration","ms":{"p50":272.833,"p90":379.333,"p99":507.333,"mean":276.741},"successRate":99.3168,"sampleSize":8637.5,"query":"avg(ocb:rpc_latency_milliseconds:p50_24h{provider=\"meowrpc\"})","formula":"Mean over ETH + Arbitrum and 3 regions of per cell 24h p50 round-trip latency (ms) for `eth_getBlockByNumber` sent every 60s to MeowRPC's no-key endpoint. Successful calls only; failures show in the Success column.","availability":"live","meta":{"observedAt":1784679898627}},{"name":"Flashbots","slug":"flashbots","tag":"Private-mempool RPC, anti-sandwich","ms":{"p50":715.333,"p90":926.7,"p99":989.333,"mean":741.869},"successRate":100,"sampleSize":4320.75,"query":"avg(ocb:rpc_latency_milliseconds:p50_24h{provider=\"flashbots\"})","formula":"Mean across 3 regions of the 24h p50 round-trip latency (ms) for `eth_getBlockByNumber` sent every 60s to the Flashbots Protect read proxy. Ethereum only; successful calls only, failures show in the Success column.","availability":"live","meta":{"observedAt":1784679898627}},{"name":"Cloudflare","slug":"cloudflare","tag":"Permissioned-mode for many JSON-RPC methods","ms":{"p50":0,"p90":0,"p99":0,"mean":0},"successRate":0,"sampleSize":4318.75,"availability":"unavailable","unresponsive":true,"formula":"Mean across 3 regions of the 24h p50 round-trip latency (ms) for `eth_getBlockByNumber` sent every 60s to cloudflare-eth. Ethereum only; successful calls only, so the fast p50 hides the jsonrpc_err share shown in the Success column.","meta":{"observedAt":1784679898627}},{"name":"Base","slug":"base-official","tag":"Coinbase-operated, Base mainnet RPC","ms":{"p50":250.667,"p90":273.333,"p99":370.333,"mean":260.065},"successRate":100,"sampleSize":4318.75,"query":"avg(ocb:rpc_latency_milliseconds:p50_24h{provider=\"base-official\"})","formula":"Mean across 3 regions of the 24h p50 round-trip latency (ms) for `eth_getBlockByNumber` sent every 60s to Coinbase's `mainnet.base.org`. Base only; successful calls only, failures show in the Success column.","availability":"live","meta":{"observedAt":1784679898627}},{"name":"Binance","slug":"binance","tag":"BNB Chain dataseed RPC, Binance-operated","ms":{"p50":74,"p90":267.667,"p99":390,"mean":125.588},"successRate":100,"sampleSize":4319.75,"query":"avg(ocb:rpc_latency_milliseconds:p50_24h{provider=\"binance\"})","formula":"Mean across 3 regions of the 24h p50 round-trip latency (ms) for `eth_getBlockByNumber` sent every 60s to Binance's `bsc-dataseed1.binance.org`. BNB Chain only; successful calls only, failures show in the Success column.","availability":"live","meta":{"observedAt":1784679898627}},{"name":"Tenderly","slug":"tenderly","tag":"Multi-chain public gateway, 9 chains, no key","ms":{"p50":313.576,"p90":325.382,"p99":428.219,"mean":318.135},"successRate":99.9516,"sampleSize":95029.5,"query":"avg(ocb:rpc_latency_milliseconds:p50_24h{provider=\"tenderly\"})","formula":"Mean over its measured chains and 3 regions of per cell 24h p50 round-trip latency (ms) for `eth_getBlockByNumber` sent every 60s to `gateway.tenderly.co/public/<slug>`. Successful calls only; failures show in the Success column.","availability":"live","meta":{"observedAt":1784679898627}},{"name":"Nodies","slug":"nodies","tag":"POKT Network's decentralized public RPC successor, 7+ chains","ms":{"p50":207.833,"p90":1072.2,"p99":1878.13,"mean":421.797},"successRate":90.1216,"sampleSize":25909.5,"query":"avg(ocb:rpc_latency_milliseconds:p50_24h{provider=\"nodies\"})","formula":"Mean over its measured chains and 3 regions of per cell 24h p50 round-trip latency (ms) for `eth_getBlockByNumber` sent every 60s to Nodies' `*-pokt.nodies.app` endpoint. Successful calls only; failures show in the Success column.","availability":"live","meta":{"observedAt":1784679898627}},{"name":"Lava","slug":"lava","tag":"Decentralized permissionless RPC mesh (ETH + Arbitrum no-key)","ms":{"p50":322,"p90":849.267,"p99":1978.1,"mean":432.579},"successRate":99.392,"sampleSize":17274,"query":"avg(ocb:rpc_latency_milliseconds:p50_24h{provider=\"lava\"})","formula":"Mean over ETH + Arbitrum and 3 regions of per cell 24h p50 round-trip latency (ms) for `eth_getBlockByNumber` sent every 60s to Lava Network's no-key mesh endpoint. Successful calls only; failures show in the Success column.","availability":"live","meta":{"observedAt":1784679898627}},{"name":"Arbitrum","slug":"arbitrum-official","tag":"Arbitrum Foundation public RPC, Arbitrum One only","ms":{"p50":249.667,"p90":262.667,"p99":340,"mean":251.751},"successRate":100,"sampleSize":4319.75,"query":"avg(ocb:rpc_latency_milliseconds:p50_24h{provider=\"arbitrum-official\"})","formula":"Mean across 3 regions of the 24h p50 round-trip latency (ms) for `eth_getBlockByNumber` sent every 60s to the Arbitrum Foundation's `arb1.arbitrum.io/rpc`. Arbitrum One only; successful calls only, failures show in the Success column.","availability":"live","meta":{"observedAt":1784679898627}},{"name":"Optimism","slug":"optimism-official","tag":"Optimism Foundation public RPC, Optimism mainnet only","ms":{"p50":341.667,"p90":351.333,"p99":370,"mean":342.634},"successRate":100,"sampleSize":4319.75,"query":"avg(ocb:rpc_latency_milliseconds:p50_24h{provider=\"optimism-official\"})","formula":"Mean across 3 regions of the 24h p50 round-trip latency (ms) for `eth_getBlockByNumber` sent every 60s to the Optimism Foundation's `mainnet.optimism.io`. Optimism only; successful calls only, failures show in the Success column.","availability":"live","meta":{"observedAt":1784679898627}},{"name":"Avalanche","slug":"avalanche-official","tag":"Ava Labs C-Chain public RPC, Avalanche C-Chain only","ms":{"p50":180.667,"p90":193,"p99":214,"mean":182.877},"successRate":100,"sampleSize":4320.75,"query":"avg(ocb:rpc_latency_milliseconds:p50_24h{provider=\"avalanche-official\"})","formula":"Mean across 3 regions of the 24h p50 round-trip latency (ms) for `eth_getBlockByNumber` sent every 60s to Ava Labs' `api.avax.network/ext/bc/C/rpc`. Avalanche C-Chain only; successful calls only, failures show in the Success column.","availability":"live","meta":{"observedAt":1784679898627}}],"extras":{"series24h":{"publicnode":[147.836,148.937,149.067,148.476,150.126,149.957,151.469,149.705,151.76,151.031,150.961,151.358,152.478,152.004,150.328,148.749,149.372,150.224,152.304,153.695,154.106,153.898,151.994,150.326,149.949,148.945,151.539,150.345,151.621,148.812,149.47,147.399,147.751,146.16,143.89,143.542,145.658,149.94,153.649,158.316,162.453,165.003,163.038,161.95,164.645,168.712,168.81,164.957,156.583,150.01,144.422,145.972,146.322,146.51,143.426,144.277,143.273,144.502,142.683,140.392,138.082,138.74,140.096,141.524,143.305,143.874,143.038,140.642,140.634,141.324,142.408,142.502,143.88],"drpc":[195.852,192.288,188.806,190.991,190.891,193.034,197.146,202.125,208.401,211.071,213.601,212.843,215.014,214.863,217.664,218.816,221.843,226.34,226.055,224.914,224.896,229.941,227.585,217.804,204.317,201.679,202.256,204.471,206.033,207.905,205.324,203.502,201.379,203.314,204.139,205.892,207.827,210.853,212.146,213.442,213.654,213.065,212.823,210.027,212.833,214.155,219.393,215.087,211.597,206.139,204.9,205.657,207.915,208.79,205.092,198.43,197.28,195.431,193.337,188.873,187.851,189.351,190.485,191.19,191.911,190.175,188.32,184.896,184.356,185.409,188.064,191.467,190.286],"meowrpc":[281.587,273.895,268.129,272.698,272.651,277.252,271.699,271.745,272.258,276.142,274.247,269.692,265.659,264.399,266.657,263.223,263.464,264.824,268.869,268.863,272.437,273.324,274.716,267.739,269.019,272.717,272.82,277.541,278.136,281.048,274.605,273.392,274.233,276.34,278.842,281.763,281.354,299.299,297.458,297.075,279.52,292.82,298.884,301.615,295.97,295.68,291.696,286.584,279.419,280.85,281.585,286.547,289.565,295.745,290.6,287.703,276.852,279.661,271.09,270.515,269.52,273.025,273.204,274.188,274.475,272.765,263.518,261.779,258.995,265.031,266.442,272.577,270.535],"flashbots":[696.103,704.664,714.679,716.694,711.335,708.265,717.257,726.868,732.94,733.299,728.178,730.947,723.61,723.354,727.918,743.951,754.982,755.303,747.499,747.558,747.894,748.122,759.986,753.729,762.733,753.85,760.719,761.99,759.428,766.546,762.807,768.406,758.581,753.686,739.449,728.325,729.839,743.49,747.944,750.106,749.476,754.728,747.201,739.389,741.301,739.447,737.71,735.219,740.542,747.068,746.612,742.847,739.3,754.251,758.59,755.783,738.318,732.828,729.746,727.819,736.833,738.996,736.086,731.014,733.886,738.707,747.276,750.833,750.615,743.837,739.642,736.939,733.142],"base-official":[255.358,255.886,254.676,254.435,257.403,257.515,258.211,257.399,257.619,259.718,257.994,259.143,258.269,260.317,260.901,261.238,258.642,257.157,257.279,258.628,258.899,258.382,256.976,255.84,256.01,255.646,255.764,255.107,254.91,254.429,255.453,257.878,259.725,258.168,256.147,258.297,259.981,264.182,262.218,261.389,257.91,266.394,266.89,266.54,257.838,257.129,257.796,259.406,257.997,255.968,258.433,264.129,263.175,298.742,299.032,302.463,270.436,263.25,259.818,249.024,249.947,248.7,249.246,248.767,248.21,246.832,279.997,281.28,282.112,248.928,253.573,253.147,252],"binance":[135.611,147.006,143.217,127.256,114.389,105.872,117.344,125.561,125.906,117.578,105.95,109.517,120.272,128.289,135.5,129.1,119.667,122.139,131.261,141.6,131.911,121.861,119.428,131.539,141.528,146.756,144.122,141.544,141.417,136.467,129.178,127.028,128.733,138.461,134.806,127.889,123.067,132.917,133.206,127.822,116.228,123.006,131.5,142.661,147.072,149.722,147.372,140.528,134.789,128.761,125.8,125.083,124.867,135.122,140.322,147.528,138.983,131.039,124.644,129.6,133.106,129.117,121.85,111.489,98.5556,87.3333,80.8222,85.5333,90.3167,96.95,106.922,103.694,111.965],"tenderly":[314.661,316.591,316.557,315.763,314.631,312.798,312.566,312.719,312.871,314.25,314.773,313.791,312.103,310.898,314.982,318.477,321.6,321.798,320.005,319.096,316.85,317.029,318.319,320.144,320.229,318.958,319.242,321.725,321.723,319.647,317.569,317.795,318.233,319.024,317.856,319.094,319.479,320.814,319.315,318.911,320.078,320.68,319.864,319.602,319.569,320.023,318.922,318.646,316.865,316.682,316.913,317.802,317.546,316.676,318.64,319.059,318.884,320.844,320.004,321.26,318.651,319.688,319.539,318.943,318.28,318.256,319.604,320.498,318.938,318.22,317.424,318.398,318.764],"nodies":[299,451.265,769.981,706.478,503.369,347.016,329.916,323.505,336.349,304.394,436.306,428.822,371.613,247.437,233.336,276.519,328.557,372.439,388.894,376.903,464.531,422.504,363.733,271.625,259.548,307.734,434.998,559.207,830.845,766.05,645.521,428.053,335.135,310.969,416.171,507.919,641.601,710.143,895.824,788.858,763.016,777.053,581.834,475.966,440.513,528.522,915.947,224.665,223.754,224.507,223.689,221.809,219.763,218.371,218.551,219.058,219.496,220.578,220.423,219.949,219.2,218.706,218.351,218.114,218.369,217.91,219.367,218.158,219.684,217.723,218.747,217.616,218.06],"lava":[416.681,430.242,432.183,454.103,465.607,496.546,493.231,471.3,437.663,418.892,413.596,432.646,442.365,436.517,431.477,424.427,417.401,391.415,380.154,379.45,382.993,398.069,398.615,424.945,425.136,444.623,429.533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RPC mesh, consensus-checked","ms":{"p50":18,"p90":168.333,"p99":240.333,"mean":77.2084},"successRate":85.09259999999999,"sampleSize":4320.75,"query":"avg(ocb:rpc_latency_milliseconds:p50_24h{provider=\"drpc\",chain=\"ethereum\"})","formula":"Mean over its measured chains and 3 regions of per cell 24h p50 round-trip latency (ms) for `eth_getBlockByNumber` sent every 60s to dRPC's decentralized mesh. Successful calls only; failures show in the Success column.","availability":"live"},"polygon":{"name":"dRPC","slug":"drpc","tag":"Decentralized RPC mesh, consensus-checked","ms":{"p50":69,"p90":195.6,"p99":421.153,"mean":95.458},"successRate":100,"sampleSize":4319.75,"query":"avg(ocb:rpc_latency_milliseconds:p50_24h{provider=\"drpc\",chain=\"polygon\"})","formula":"Mean over its measured chains and 3 regions of per cell 24h p50 round-trip latency (ms) for `eth_getBlockByNumber` sent every 60s to dRPC's decentralized mesh. Successful calls only; failures show in the Success column.","availability":"live"},"arbitrum":{"name":"PublicNode","slug":"publicnode","tag":"Allnodes-operated, 70+ chains, archive on most","ms":{"p50":89.6667,"p90":254.667,"p99":276,"mean":123.721},"successRate":100,"sampleSize":4319.75,"query":"avg(ocb:rpc_latency_milliseconds:p50_24h{provider=\"publicnode\",chain=\"arbitrum\"})","formula":"Mean over its measured chains and 3 regions of per cell 24h p50 round-trip latency (ms) for `eth_getBlockByNumber` sent every 60s to PublicNode's no-key endpoint. Successful calls only; failures show in the Success column.","availability":"live"},"optimism":{"name":"PublicNode","slug":"publicnode","tag":"Allnodes-operated, 70+ chains, archive on most","ms":{"p50":91.5,"p90":204.667,"p99":261.333,"mean":117.247},"successRate":100,"sampleSize":4319.75,"query":"avg(ocb:rpc_latency_milliseconds:p50_24h{provider=\"publicnode\",chain=\"optimism\"})","formula":"Mean over its measured chains and 3 regions of per cell 24h p50 round-trip latency (ms) for `eth_getBlockByNumber` sent every 60s to PublicNode's no-key endpoint. Successful calls only; failures show in the Success column.","availability":"live"},"base":{"name":"PublicNode","slug":"publicnode","tag":"Allnodes-operated, 70+ chains, archive on most","ms":{"p50":95,"p90":168,"p99":285.333,"mean":108.936},"successRate":100,"sampleSize":4318.75,"query":"avg(ocb:rpc_latency_milliseconds:p50_24h{provider=\"publicnode\",chain=\"base\"})","formula":"Mean over its measured chains and 3 regions of per cell 24h p50 round-trip latency (ms) for `eth_getBlockByNumber` sent every 60s to PublicNode's no-key endpoint. Successful calls only; failures show in the Success column.","availability":"live"},"bnb":{"name":"dRPC","slug":"drpc","tag":"Decentralized RPC mesh, consensus-checked","ms":{"p50":17,"p90":104.667,"p99":227.96,"mean":37.8971},"successRate":25.9782,"sampleSize":4319.75,"query":"avg(ocb:rpc_latency_milliseconds:p50_24h{provider=\"drpc\",chain=\"bnb\"})","formula":"Mean over its measured chains and 3 regions of per cell 24h p50 round-trip latency (ms) for `eth_getBlockByNumber` sent every 60s to dRPC's decentralized mesh. Successful calls only; failures show in the Success column.","availability":"live"},"avalanche":{"name":"PublicNode","slug":"publicnode","tag":"Allnodes-operated, 70+ chains, archive on most","ms":{"p50":90.6667,"p90":244,"p99":273.333,"mean":109.284},"successRate":100,"sampleSize":4318.75,"query":"avg(ocb:rpc_latency_milliseconds:p50_24h{provider=\"publicnode\",chain=\"avalanche\"})","formula":"Mean over its measured chains and 3 regions of per cell 24h p50 round-trip latency (ms) for `eth_getBlockByNumber` sent every 60s to PublicNode's no-key endpoint. Successful calls only; failures show in the Success column.","availability":"live"},"linea":{"name":"PublicNode","slug":"publicnode","tag":"Allnodes-operated, 70+ chains, archive on most","ms":{"p50":91,"p90":111.167,"p99":271.333,"mean":101.333},"successRate":100,"sampleSize":4317.75,"query":"avg(ocb:rpc_latency_milliseconds:p50_24h{provider=\"publicnode\",chain=\"linea\"})","formula":"Mean over its measured chains and 3 regions of per cell 24h p50 round-trip latency (ms) for `eth_getBlockByNumber` sent every 60s to PublicNode's no-key endpoint. Successful calls only; failures show in the Success column.","availability":"live"},"scroll":{"name":"PublicNode","slug":"publicnode","tag":"Allnodes-operated, 70+ chains, archive on most","ms":{"p50":96.6667,"p90":261.667,"p99":495.667,"mean":152.144},"successRate":100,"sampleSize":4318.75,"query":"avg(ocb:rpc_latency_milliseconds:p50_24h{provider=\"publicnode\",chain=\"scroll\"})","formula":"Mean over its measured chains and 3 regions of per cell 24h p50 round-trip latency (ms) for `eth_getBlockByNumber` sent every 60s to PublicNode's no-key endpoint. Successful calls only; failures show in the Success column.","availability":"live"},"mantle":{"name":"PublicNode","slug":"publicnode","tag":"Allnodes-operated, 70+ chains, archive on most","ms":{"p50":89.6667,"p90":153.367,"p99":846.333,"mean":116.877},"successRate":100,"sampleSize":4320.75,"query":"avg(ocb:rpc_latency_milliseconds:p50_24h{provider=\"publicnode\",chain=\"mantle\"})","formula":"Mean over its measured chains and 3 regions of per cell 24h p50 round-trip latency (ms) for `eth_getBlockByNumber` sent every 60s to PublicNode's no-key endpoint. Successful calls only; failures show in the Success column.","availability":"live"}},"worstPerChain":{"ethereum":{"name":"Flashbots","slug":"flashbots","tag":"Private-mempool RPC, anti-sandwich","ms":{"p50":715.333,"p90":926.7,"p99":989.333,"mean":741.869},"successRate":100,"sampleSize":4320.75,"query":"avg(ocb:rpc_latency_milliseconds:p50_24h{provider=\"flashbots\",chain=\"ethereum\"})","formula":"Mean across 3 regions of the 24h p50 round-trip latency (ms) for `eth_getBlockByNumber` sent every 60s to the Flashbots Protect read proxy. Ethereum only; successful calls only, failures show in the Success column.","availability":"live"},"polygon":{"name":"Tenderly","slug":"tenderly","tag":"Multi-chain public gateway, 9 chains, no key","ms":{"p50":333.667,"p90":351.333,"p99":1726.67,"mean":385.369},"successRate":99.05030000000001,"sampleSize":4317.75,"query":"avg(ocb:rpc_latency_milliseconds:p50_24h{provider=\"tenderly\",chain=\"polygon\"})","formula":"Mean over its measured chains and 3 regions of per cell 24h p50 round-trip latency (ms) for `eth_getBlockByNumber` sent every 60s to `gateway.tenderly.co/public/<slug>`. Successful calls only; failures show in the Success column.","availability":"live"},"arbitrum":{"name":"dRPC","slug":"drpc","tag":"Decentralized RPC mesh, consensus-checked","ms":{"p50":347.333,"p90":610.333,"p99":1339,"mean":399.181},"successRate":84.4568,"sampleSize":4317.75,"query":"avg(ocb:rpc_latency_milliseconds:p50_24h{provider=\"drpc\",chain=\"arbitrum\"})","formula":"Mean over its measured chains and 3 regions of per cell 24h p50 round-trip latency (ms) for `eth_getBlockByNumber` sent every 60s to dRPC's decentralized mesh. Successful calls only; failures show in the Success column.","availability":"live"},"optimism":{"name":"Optimism","slug":"optimism-official","tag":"Optimism Foundation public RPC, Optimism mainnet only","ms":{"p50":341.667,"p90":351.333,"p99":370,"mean":342.634},"successRate":100,"sampleSize":4319.75,"query":"avg(ocb:rpc_latency_milliseconds:p50_24h{provider=\"optimism-official\",chain=\"optimism\"})","formula":"Mean across 3 regions of the 24h p50 round-trip latency (ms) for `eth_getBlockByNumber` sent every 60s to the Optimism Foundation's `mainnet.optimism.io`. Optimism only; successful calls only, failures show in the Success column.","availability":"live"},"base":{"name":"Nodies","slug":"nodies","tag":"POKT Network's decentralized public RPC successor, 7+ chains","ms":{"p50":268,"p90":282,"p99":1213.03,"mean":287.68},"successRate":99.7913,"sampleSize":4314.75,"query":"avg(ocb:rpc_latency_milliseconds:p50_24h{provider=\"nodies\",chain=\"base\"})","formula":"Mean over its measured chains and 3 regions of per cell 24h p50 round-trip latency (ms) for `eth_getBlockByNumber` sent every 60s to Nodies' `*-pokt.nodies.app` endpoint. Successful calls only; failures show in the Success column.","availability":"live"},"bnb":{"name":"Nodies","slug":"nodies","tag":"POKT Network's decentralized public RPC successor, 7+ chains","ms":{"p50":177,"p90":262.7,"p99":279.333,"mean":191.855},"successRate":100,"sampleSize":4318.75,"query":"avg(ocb:rpc_latency_milliseconds:p50_24h{provider=\"nodies\",chain=\"bnb\"})","formula":"Mean over its measured chains and 3 regions of per cell 24h p50 round-trip latency (ms) for `eth_getBlockByNumber` sent every 60s to Nodies' `*-pokt.nodies.app` endpoint. Successful calls only; failures show in the Success column.","availability":"live"},"avalanche":{"name":"Tenderly","slug":"tenderly","tag":"Multi-chain public gateway, 9 chains, no key","ms":{"p50":331.333,"p90":343,"p99":532,"mean":337.387},"successRate":100,"sampleSize":4320.75,"query":"avg(ocb:rpc_latency_milliseconds:p50_24h{provider=\"tenderly\",chain=\"avalanche\"})","formula":"Mean over its measured chains and 3 regions of per cell 24h p50 round-trip latency (ms) for `eth_getBlockByNumber` sent every 60s to `gateway.tenderly.co/public/<slug>`. Successful calls only; failures show in the Success column.","availability":"live"},"linea":{"name":"Tenderly","slug":"tenderly","tag":"Multi-chain public gateway, 9 chains, no key","ms":{"p50":328.333,"p90":340.333,"p99":412.333,"mean":331.04},"successRate":100,"sampleSize":4320.75,"query":"avg(ocb:rpc_latency_milliseconds:p50_24h{provider=\"tenderly\",chain=\"linea\"})","formula":"Mean over its measured chains and 3 regions of per cell 24h p50 round-trip latency (ms) for `eth_getBlockByNumber` sent every 60s to `gateway.tenderly.co/public/<slug>`. Successful calls only; failures show in the Success column.","availability":"live"},"scroll":{"name":"Tenderly","slug":"tenderly","tag":"Multi-chain public gateway, 9 chains, no key","ms":{"p50":327.333,"p90":341.667,"p99":422.667,"mean":332.621},"successRate":100,"sampleSize":4320.75,"query":"avg(ocb:rpc_latency_milliseconds:p50_24h{provider=\"tenderly\",chain=\"scroll\"})","formula":"Mean over its measured chains and 3 regions of per cell 24h p50 round-trip latency (ms) for `eth_getBlockByNumber` sent every 60s to `gateway.tenderly.co/public/<slug>`. Successful calls only; failures show in the Success column.","availability":"live"},"mantle":{"name":"dRPC","slug":"drpc","tag":"Decentralized RPC mesh, consensus-checked","ms":{"p50":347.333,"p90":446.333,"p99":570.667,"mean":276.28},"successRate":84.0704,"sampleSize":4319.75,"query":"avg(ocb:rpc_latency_milliseconds:p50_24h{provider=\"drpc\",chain=\"mantle\"})","formula":"Mean over its measured chains and 3 regions of per cell 24h p50 round-trip latency (ms) for `eth_getBlockByNumber` sent every 60s to dRPC's decentralized mesh. Successful calls only; failures show in the Success column.","availability":"live"}},"providersPerChain":{"ethereum":["publicnode","drpc","meowrpc","flashbots","tenderly","nodies","lava"],"polygon":["publicnode","drpc","tenderly","nodies"],"arbitrum":["publicnode","drpc","meowrpc","tenderly","nodies","lava","arbitrum-official"],"optimism":["publicnode","drpc","tenderly","nodies","optimism-official"],"base":["publicnode","drpc","base-official","tenderly","nodies"],"bnb":["publicnode","drpc","binance","nodies"],"avalanche":["publicnode","drpc","tenderly","avalanche-official"],"linea":["publicnode","drpc","tenderly"],"scroll":["publicnode","drpc","tenderly"],"mantle":["publicnode","drpc","tenderly"]},"cellRanks":{"arbitrum|sgp":[{"slug":"publicnode","p50":91},{"slug":"nodies","p50":176},{"slug":"tenderly","p50":240},{"slug":"arbitrum-official","p50":250},{"slug":"meowrpc","p50":269},{"slug":"lava","p50":337},{"slug":"drpc","p50":347}],"arbitrum|eu-west":[{"slug":"publicnode","p50":90},{"slug":"nodies","p50":176},{"slug":"lava","p50":204},{"slug":"tenderly","p50":239},{"slug":"arbitrum-official","p50":248},{"slug":"meowrpc","p50":267},{"slug":"drpc","p50":346}],"arbitrum|us-east":[{"slug":"publicnode","p50":88},{"slug":"nodies","p50":177},{"slug":"lava","p50":213},{"slug":"tenderly","p50":240},{"slug":"arbitrum-official","p50":251},{"slug":"meowrpc","p50":267},{"slug":"drpc","p50":349}],"avalanche|sgp":[{"slug":"publicnode","p50":93},{"slug":"drpc","p50":164},{"slug":"avalanche-official","p50":177},{"slug":"tenderly","p50":330}],"avalanche|eu-west":[{"slug":"publicnode","p50":86},{"slug":"drpc","p50":163},{"slug":"avalanche-official","p50":182},{"slug":"tenderly","p50":331}],"avalanche|us-east":[{"slug":"publicnode","p50":93},{"slug":"drpc","p50":164},{"slug":"avalanche-official","p50":183},{"slug":"tenderly","p50":333}],"base|sgp":[{"slug":"publicnode","p50":101},{"slug":"drpc","p50":163},{"slug":"tenderly","p50":241},{"slug":"base-official","p50":250},{"slug":"nodies","p50":270}],"base|eu-west":[{"slug":"publicnode","p50":93},{"slug":"drpc","p50":163},{"slug":"tenderly","p50":241},{"slug":"base-official","p50":249},{"slug":"nodies","p50":268}],"base|us-east":[{"slug":"publicnode","p50":91},{"slug":"drpc","p50":165},{"slug":"tenderly","p50":242},{"slug":"base-official","p50":253},{"slug":"nodies","p50":266}],"bnb|sgp":[{"slug":"drpc","p50":17},{"slug":"binance","p50":75},{"slug":"publicnode","p50":173},{"slug":"nodies","p50":178}],"bnb|eu-west":[{"slug":"drpc","p50":17},{"slug":"binance","p50":73},{"slug":"publicnode","p50":169},{"slug":"nodies","p50":176}],"bnb|us-east":[{"slug":"drpc","p50":17},{"slug":"binance","p50":74},{"slug":"publicnode","p50":171},{"slug":"nodies","p50":177}],"ethereum|sgp":[{"slug":"drpc","p50":20},{"slug":"publicnode","p50":94},{"slug":"nodies","p50":181},{"slug":"tenderly","p50":239},{"slug":"meowrpc","p50":281},{"slug":"lava","p50":331},{"slug":"flashbots","p50":709}],"ethereum|eu-west":[{"slug":"drpc","p50":16},{"slug":"publicnode","p50":91},{"slug":"nodies","p50":179},{"slug":"tenderly","p50":240},{"slug":"meowrpc","p50":277},{"slug":"lava","p50":338},{"slug":"flashbots","p50":728}],"ethereum|us-east":[{"slug":"drpc","p50":18},{"slug":"publicnode","p50":89},{"slug":"nodies","p50":180},{"slug":"tenderly","p50":241},{"slug":"meowrpc","p50":276},{"slug":"lava","p50":333},{"slug":"flashbots","p50":709}],"linea|sgp":[{"slug":"publicnode","p50":90},{"slug":"drpc","p50":205},{"slug":"tenderly","p50":328}],"linea|eu-west":[{"slug":"publicnode","p50":90},{"slug":"drpc","p50":205},{"slug":"tenderly","p50":328}],"linea|us-east":[{"slug":"publicnode","p50":93},{"slug":"drpc","p50":204},{"slug":"tenderly","p50":329}],"mantle|sgp":[{"slug":"publicnode","p50":92},{"slug":"tenderly","p50":330},{"slug":"drpc","p50":345}],"mantle|eu-west":[{"slug":"publicnode","p50":87},{"slug":"tenderly","p50":330},{"slug":"drpc","p50":349}],"mantle|us-east":[{"slug":"publicnode","p50":90},{"slug":"tenderly","p50":331},{"slug":"drpc","p50":348}],"optimism|sgp":[{"slug":"publicnode","p50":93},{"slug":"drpc","p50":163},{"slug":"tenderly","p50":240},{"slug":"nodies","p50":266},{"slug":"optimism-official","p50":341}],"optimism|eu-west":[{"slug":"publicnode","p50":89.5},{"slug":"drpc","p50":166},{"slug":"tenderly","p50":240},{"slug":"nodies","p50":267},{"slug":"optimism-official","p50":342}],"optimism|us-east":[{"slug":"publicnode","p50":92},{"slug":"drpc","p50":164},{"slug":"tenderly","p50":241},{"slug":"nodies","p50":266},{"slug":"optimism-official","p50":342}],"polygon|sgp":[{"slug":"publicnode","p50":91},{"slug":"drpc","p50":169},{"slug":"nodies","p50":180},{"slug":"tenderly","p50":333}],"polygon|eu-west":[{"slug":"drpc","p50":25},{"slug":"publicnode","p50":90},{"slug":"nodies","p50":179},{"slug":"tenderly","p50":334}],"polygon|us-east":[{"slug":"drpc","p50":13},{"slug":"publicnode","p50":87},{"slug":"nodies","p50":179},{"slug":"tenderly","p50":334}],"scroll|sgp":[{"slug":"publicnode","p50":101},{"slug":"drpc","p50":213},{"slug":"tenderly","p50":327}],"scroll|eu-west":[{"slug":"publicnode","p50":103},{"slug":"drpc","p50":210},{"slug":"tenderly","p50":327}],"scroll|us-east":[{"slug":"publicnode","p50":86},{"slug":"drpc","p50":203},{"slug":"tenderly","p50":328}],"arbitrum|all":[{"slug":"publicnode","p50":89.66666666666667},{"slug":"nodies","p50":176.33333333333334},{"slug":"tenderly","p50":239.66666666666666},{"slug":"arbitrum-official","p50":249.66666666666666},{"slug":"lava","p50":251.33333333333334},{"slug":"meowrpc","p50":267.6666666666667},{"slug":"drpc","p50":347.3333333333333}],"avalanche|all":[{"slug":"publicnode","p50":90.66666666666667},{"slug":"drpc","p50":163.66666666666666},{"slug":"avalanche-official","p50":180.66666666666666},{"slug":"tenderly","p50":331.3333333333333}],"base|all":[{"slug":"publicnode","p50":95},{"slug":"drpc","p50":163.66666666666666},{"slug":"tenderly","p50":241.33333333333334},{"slug":"base-official","p50":250.66666666666666},{"slug":"nodies","p50":268}],"bnb|all":[{"slug":"drpc","p50":17},{"slug":"binance","p50":74},{"slug":"publicnode","p50":171},{"slug":"nodies","p50":177}],"ethereum|all":[{"slug":"drpc","p50":18},{"slug":"publicnode","p50":91.33333333333333},{"slug":"nodies","p50":180},{"slug":"tenderly","p50":240},{"slug":"meowrpc","p50":278},{"slug":"lava","p50":334},{"slug":"flashbots","p50":715.3333333333334}],"linea|all":[{"slug":"publicnode","p50":91},{"slug":"drpc","p50":204.66666666666666},{"slug":"tenderly","p50":328.3333333333333}],"mantle|all":[{"slug":"publicnode","p50":89.66666666666667},{"slug":"tenderly","p50":330.3333333333333},{"slug":"drpc","p50":347.3333333333333}],"optimism|all":[{"slug":"publicnode","p50":91.5},{"slug":"drpc","p50":164.33333333333334},{"slug":"tenderly","p50":240.33333333333334},{"slug":"nodies","p50":266.3333333333333},{"slug":"optimism-official","p50":341.6666666666667}],"polygon|all":[{"slug":"drpc","p50":69},{"slug":"publicnode","p50":89.33333333333333},{"slug":"nodies","p50":179.33333333333334},{"slug":"tenderly","p50":333.6666666666667}],"scroll|all":[{"slug":"publicnode","p50":96.66666666666667},{"slug":"drpc","p50":208.66666666666666},{"slug":"tenderly","p50":327.3333333333333}],"all|sgp":[{"slug":"publicnode","p50":101.9},{"slug":"drpc","p50":180.6}],"all|eu-west":[{"slug":"publicnode","p50":98.85},{"slug":"drpc","p50":166}],"all|us-east":[{"slug":"publicnode","p50":98},{"slug":"drpc","p50":164.5}]},"dataAsOf":1784679898627},{"slug":"gas-estimation","number":"013","title":"Most accurate gas oracle, live gap vs realized priority fee","seoTitle":"Most accurate gas oracle 2026","seoDescription":"Most accurate gas oracle live on Ethereum and Polygon: gwei gap between predicted and realized effective_gas_price.","seoIntro":"This benchmark answers the question wallets, swap routers and\nbridge UIs all face before sending a transaction. which gas oracle\nactually matches what the next block will charge, on the chain my\nproduct runs on. Marketing pages quote \"fast / standard / slow\"\nwithout ever publishing the gap between prediction and reality.\nWe normalize each oracle's tiers onto a unified p25 / p50 / p75 /\np90 / p99 scheme, take the predicted priority fee in gwei, then\ncompare it against the realized percentile computed directly from\nthe actual transactions in the next mined block. The headline is\nthe p99 of the absolute error (|predicted - realized|, in gwei)\nover 24h, the worst 1% of blocks, because typical-minute errors\nare micro-gwei noise while gas spikes are where predictions\nactually diverge. A covered-rate column shows the share of time\neach prediction sat at or above the realized p50 (the\ninclusion-side risk an absolute gap cannot show). Coverage.\nEthereum mainnet (PublicNode feeHistory + Owlracle + Etherscan v2)\nand Polygon (same three). Use the chain tab above to\nslice the leaderboard. Avalanche C-Chain was dropped because its\nauto-tuning fee market drives the priority fee to ~0 by design,\nwhich collapses prediction-error to ~0 across all oracles and makes\nthe bench non-informative. What this bench does NOT capture. (a)\nmeasured inclusion latency (the covered-rate column is a proxy\nfor under-bidding risk, not an observed wait time); (b)\nover-pay cost in USD (depends on gas_used and ETH price); (c)\nfundamental oracle reliability outside the priority-fee dimension.\nRead this number as \"how close to the realized percentile, in\ngwei\", not as \"which oracle should I integrate end-to-end\".\n","disclaimer":"Lower gap is NOT the same as \"best oracle\". Inclusion-confidence oracles (Etherscan) over-predict by design to guarantee inclusion; percentile trackers (PublicNode, Owlracle) hug the realized number by construction. The table therefore ranks on the p99 gap (typical p50 gaps are micro-gwei noise) and pairs it with the covered column: share of time the prediction sat at or above the realized p50, the inclusion-side risk a gap alone cannot show.\n","faq":[{"q":"What does this benchmark actually measure?","a":"The absolute difference, in gwei, between each gas oracle's predicted p50 priority fee and the realized p50 priority fee in the next mined block, ranked on the p99 of that gap over 24h (the worst 1% of blocks, where gas spikes actually cost money). Etherscan currently leads the active chain tab at 1.000 gwei gwei. The covered column adds the inclusion-side view: the share of time the prediction sat at or above the realized p50. What it does NOT measure. USD over-pay cost (depends on gas_used × ETH price) or fundamental oracle reliability beyond priority-fee accuracy."},{"q":"Why rank on the p99 gap instead of the typical p50 gap?","a":"Because at current fee levels the p50 gaps are fractions of a micro-gwei apart across oracles, on a 100k-gas transaction a 0.001 gwei error is about a thousandth of a cent, so a p50 ranking orders economically indistinguishable noise. The p99 gap captures the volatile minutes (mempool spikes, NFT mints, MEV bursts) where predictions genuinely diverge and a wrong number either overpays or misses the block. The typical p50 and p90 gaps remain visible as secondary columns."},{"q":"What is the covered rate column?","a":"The share of time over 24h that the oracle's posted p50-tier prediction was at or above the realized p50 priority fee of the latest mined block. Absolute gap treats over-prediction and under-prediction the same, but they are not symmetric for users: over-predicting means slightly overpaying, under-predicting means a transaction paying exactly the predicted fee would have ranked below the block's median and risks waiting. Inclusion-confidence oracles (Etherscan) should score high here by design; percentile trackers sit near 50% by construction. Read gap and covered together: low p99 gap + high covered is the sweet spot."},{"q":"Why these specific chains (Ethereum, Polygon)?","a":"Both are EIP-1559 with a proper dynamic base fee, which makes 'priority-fee prediction error' an apples-to-apples comparable metric across them. Avalanche C-Chain was dropped because its auto-tuning fee market collapses the priority fee to ~0 by design, which makes the prediction-error metric uniformly ~0 across all oracles and non-informative. BNB Chain is excluded because it isn't EIP-1559 (effective fee = gasPrice only, priority is structural noise). Optimism / Base / Arbitrum and other L2 OP Stack rollups are excluded because their priority fee is ~0 (centralised sequencer, no MEV) and the relevant cost is L1 data fee, a different metric that belongs in a separate bench. Solana uses lamports per CU with Jito MEV, different fee model entirely."},{"q":"Which oracle should I pick for my wallet?","a":"Read the p99 gap (does it blow out during spikes?) together with the covered rate (does it err on the side of inclusion or under-bid?) for the chain your product runs on. Etherscan currently leads the active tab at 1.000 gwei gwei (p99) but the right oracle depends on whether you can tolerate over-pay (then prefer high covered), whether you optimise for tail behaviour, and whether the oracle's free quota fits your call volume. The bench gives you the live numbers. it cannot tell you which trade-off your product wants."},{"q":"What about gas prediction on Optimism / Base / Arbitrum?","a":"L2 OP Stack chains have priority fee ≈ 0 because the sequencer is centralised (no MEV competition, no public mempool). The actually meaningful cost on an L2 is the L1 data fee, what the sequencer pays Ethereum mainnet to post the batch, which is a different prediction problem. We're considering a separate `l2-data-fee-prediction` bench for that. Including L2s in this bench would silently produce flat ~0 numbers that pollute the comparison."},{"q":"How is gas prediction error measured here, technically?","a":"Per chain, every oracle is polled at its tier-tolerant cadence and the predicted priority fee per tier is buffered with the predicted block height. When that block is mined, the harness pulls the full block via `eth_getBlockByNumber(.., true)` on the chain's PublicNode RPC and computes the realized percentile from the actual `maxPriorityFeePerGas` values across every included transaction. Absolute error (|predicted - realized|, in gwei) is recorded per (oracle, tier, chain) as both a gauge and a histogram. p50 / p90 / p99 are computed via Prometheus `quantile_over_time` over the last 24 h. Empty or low-tx blocks are flagged separately because the realized percentile is noisy when transaction count is near zero."},{"q":"Why is gas prediction so hard?","a":"EIP-1559 makes the base fee deterministic (it adjusts by ±12.5% per block based on the previous block's gas used), so every oracle agrees on base fee within a fraction of a gwei. The hard part is predicting the priority-fee distribution in the *next* block. Priority fees are set by users in response to mempool congestion, which shifts on swap activity, MEV bot deployments, NFT mints and DEX volume in a way no historical-lookback model can fully anticipate. The leaderboard surfaces which oracle's lookback / inference scheme tracks reality best per chain, sustained over 24 h."}],"perChainExplainer":[{"slug":"ethereum","h2":"Most accurate Ethereum gas oracle","body":"Owlracle currently leads the Ethereum gas-oracle field at 0.485 gwei (gwei, p99 absolute gap, 24h) across 3 oracles. Ethereum's EIP-1559 base fee adjusts by up to 12.5 percent per block based on prior gas usage, so percentile trackers (PublicNode `eth_feeHistory`) hug the realized priority fee by construction while inclusion-confidence oracles (Etherscan) deliberately over-predict. Realized priority percentiles are computed per next-mined block from actual `maxPriorityFeePerGas` values.\n"},{"slug":"polygon","h2":"Most accurate Polygon gas oracle","body":"PublicNode currently leads the Polygon gas-oracle field at 108.22 gwei (gwei, p99 absolute gap, 24h). Polygon PoS runs EIP-1559 with a 2 s Bor block target, and its priority-fee distribution is structurally more volatile than Ethereum's: validator-set churn and MATIC-denominated tip auctions push priority spikes higher and more often, which is where inclusion-confidence oracles widen their gap against percentile trackers. The harness compares predicted versus realized p50 priority fees block by block.\n"}],"subtitle":"Absolute gap in gwei between each oracle's predicted priority-fee tier and the realized percentile in the next mined block, measured per chain. Ranked on the p99 gap, the worst 1% of blocks, because that is where gas spikes hurt integrations.","category":"RPCs","status":"live","editorialStatus":"live","metric":"Gap vs realized (gwei)","unit":"gwei","higherIsBetter":false,"abstract":"We measure how accurately each gas oracle predicts the\npriority fee a transaction must pay to land in the next block,\non two EIP-1559 chains (Ethereum, Polygon). Every oracle is\npolled at its tier-tolerant cadence and its predicted priority\nfee is buffered with the predicted block height PER chain. When\nthat block is mined, the harness pulls the full block via\n`eth_getBlockByNumber(.., true)` on the chain's PublicNode RPC,\ncomputes the realized priority percentile from the actual\n`maxPriorityFeePerGas` values across all included transactions,\nand records the absolute error per (oracle, tier, chain) as\nboth a gauge and a histogram. p50 / p90 / p99 are computed via\nPrometheus `quantile_over_time` over the 24 h window. Per-chain\ncoverage: Ethereum and Polygon both have all three oracles\n(Etherscan v2 free tier covers chainid 1 and 137). The\nEtherscan call goes through a global rate-gate (≥6s between any\ntwo Etherscan requests across chains) because the no-key limit\nis 1 req/5s per IP shared. Pending-buffer growth surfaces per\n(oracle, chain) so a temporarily backlogged realizer on one\nchain doesn't silently inflate that chain's scores. Two chains\nare deliberately excluded. BNB Chain (not fully EIP-1559, no\ndynamic base fee). Avalanche C-Chain (auto-tuning fee market\ndrives the priority fee to ~0, collapsing prediction-error to\n~0 across all oracles and making the bench non-informative).\n","methodology":["Chains: Ethereum mainnet (chainid=1), Polygon PoS (chainid=137). Both are EIP-1559 with proper dynamic base fee, so priority-fee prediction is apples-to-apples comparable. BNB Chain excluded (not EIP-1559). Avalanche C-Chain excluded (auto-tuning drives priority fee to ~0, prediction-error collapses to ~0).","Oracles per chain. Ethereum + Polygon: PublicNode feeHistory, Owlracle, Etherscan v2 (free tier).","Per-oracle endpoints. PublicNode `eth_feeHistory` on each chain's RPC; Owlracle `/v4/{eth|poly}/gas` (slug per chain); Etherscan v2 `?chainid=<N>&module=gastracker&action=gasoracle`.","Cadences. PublicNode feeHistory every 12s per chain; Owlracle every 60s per chain (free quota ceiling); Etherscan every 15s per chain with a global rate-gate enforcing ≥6s between any two Etherscan requests across chains (no-key limit is 1 req/5s per IP, shared).","Tier normalization. Each oracle's named tiers (fast / standard / slow / safe / propose) are mapped onto a unified p25 / p50 / p75 / p90 / p99 scheme. The leaderboard ranks the p50 tier (the standard speed wallets use by default).","Realized priority fee. For each pending block, the harness pulls the full block via `eth_getBlockByNumber(.., true)` on the chain's PublicNode RPC and computes the percentile from actual `maxPriorityFeePerGas` values across every included transaction. Empty or low-tx blocks (`gas_realized_tx_count` near zero) are surfaced separately because the realized percentile is noisy when tx count is low.","Realized base fee. Recorded for completeness as `gas_realized_base_gwei{chain}` and per-oracle baseFee error as `gas_error_base_gwei{oracle, chain}`. Not the ranking signal since every EIP-1559 oracle inherits this from `eth_feeHistory` and converges.","Pending buffer. Per (oracle, chain) in-memory map of predictions waiting on a realized block. TTL is ~25 blocks (~5 minutes on Ethereum, ~50 seconds on Polygon due to faster blocks). Beyond that, predictions are dropped as no-longer-informative. Buffer growth surfaces via `gas_pending_buffer_size{oracle, chain}`.","Polling result classification. `ok`, `http_err`, `parse_err`, `throttled` (HTTP 429 or oracle-specific quota message), `timeout`. Counter `gas_oracle_call_total{oracle, result, chain}` powers the reliability column.","Ranking metric. The table ranks on the p99 of the absolute gap over 24h, not the p50. At current fee levels the typical-minute gaps are fractions of a micro-gwei apart across oracles (ranking noise); the p99 captures behaviour during the volatile minutes where a wrong prediction either overpays or misses the block. The typical p50 and p90 gaps stay visible as secondary columns.","Covered rate. Share of time (24h) each oracle's posted p50-tier prediction was at or above the realized p50 priority fee, recorded as `ocb:gas_p50_covered:pct_24h` via a recording rule. Same-instant gauge comparison (current prediction vs latest realized block), a proxy pending a harness-side matched counter. High = errs on the side of inclusion; low = under-bids vs the block's realized median.","Excluded by design. (a) BNB Chain (not EIP-1559). (b) L2 OP Stack chains (Optimism, Base, Arbitrum), priority fee ≈ 0 there because sequencer is centralised, the relevant cost is L1 data fee which is a different metric and belongs in a separate bench. (c) Rough median oracles that publish only a single number (no tier breakdown). (d) Solana, different fee model entirely (lamports per CU, MEV via Jito), separate bench needed."],"findings":["Etherscan currently leads at 1.000 gwei (absolute error in gwei, p99, 24 h) on the active chain tab, across 3 measured oracles. The ranking uses the p99 gap, the worst 1% of blocks, because typical-minute gaps sit within fractions of a micro-gwei of each other (economically indistinguishable noise) while gas spikes are where a wrong prediction actually costs money.","PublicNode shows a p99 gap of 1.5 gwei. PublicNode's `eth_feeHistory` predictor is a thin wrapper over the EIP-1559 spec's reward percentiles, so it tends to agree closely with the realized percentile by construction. the gap is mostly the difference between the rolling lookback window and the next-block reality.","Owlracle shows a p99 gap of 0.268 gwei. Owlracle aggregates several upstream oracles into a recommendation, which compresses tail risk but adds polling latency at the 60s cadence required by the free quota.","Etherscan shows a p99 gap of 1.000 gwei. The most-visited gas tracker on the web; its tiering (`SafeGasPrice` / `ProposeGasPrice` / `FastGasPrice`) was originally designed for the pre-EIP-1559 single-price world. Audited on Ethereum + Polygon, both supported by Etherscan v2's free tier.","PublicNode trails at 1.5 gwei (gwei, p99, 24 h). Absolute gap alone cannot separate over-prediction (overpay, harmless) from under-prediction (the tx misses its block); the covered column closes that blind spot by showing the share of time each oracle's prediction sat at or above the realized p50."],"source":"https://github.com/ChainBench/OpenChainBench/tree/main/harnesses/gas-estimation","dimensions":{"chain":[{"value":"ethereum","label":"Ethereum"},{"value":"polygon","label":"Polygon"}]},"ledgerColumns":[{"label":"Gap p99 (24h)","slot":"p50","unit":"gwei"},{"label":"Gap p90","slot":"p90","unit":"gwei"},{"label":"Gap p50 (typical)","slot":"p99","unit":"gwei"},{"label":"Covered p50","panel":"covered_rate","unit":"pct"}],"results":[{"name":"PublicNode","slug":"publicnode-feehistory","tag":"Thin wrapper over EIP-1559 reward percentiles","ms":{"p50":1.5,"p90":0.001,"p99":0,"mean":0.0606812},"successRate":99.9583,"sampleSize":21599.7,"query":"quantile_over_time(0.99, gas_error_priority_gwei{oracle=\"publicnode-feehistory\", tier=\"p50\"}[24h])","formula":"p99 over 24h of |PublicNode eth_feeHistory p50 reward − realized p50 priority fee| in gwei, computed per next-mined block on the active chain.","availability":"live","meta":{"observedAt":1784679870891}},{"name":"Owlracle","slug":"owlracle","tag":"Multi-oracle aggregator, free tier 100/h","ms":{"p50":0.268128,"p90":0.000800437,"p99":0,"mean":0.00822327},"successRate":6.27751,"sampleSize":4317.75,"query":"quantile_over_time(0.99, gas_error_priority_gwei{oracle=\"owlracle\", tier=\"p50\"}[24h])","formula":"p99 over 24h of |Owlracle's aggregated p50-tier prediction − realized p50 priority fee| in gwei, polled every 60s and matched to the next-mined block on the active chain.","availability":"live","meta":{"observedAt":1784679870891}},{"name":"Etherscan","slug":"etherscan","tag":"Most-visited gas tracker, Ethereum + Polygon","ms":{"p50":0.99986,"p90":0.2,"p99":0.00792187,"mean":0.0988625},"successRate":96.3449,"sampleSize":11520,"query":"quantile_over_time(0.99, gas_error_priority_gwei{oracle=\"etherscan\", tier=\"p50\"}[24h])","formula":"p99 over 24h of |Etherscan's ProposeGasPrice mapped to p50-tier − realized p50 priority fee| in gwei, polled every 15s and matched to the next-mined block on the active chain.","availability":"live","meta":{"observedAt":1784679870891}}],"extras":{"series24h":{"publicnode-feehistory":[0.000333333,0.015,0.00033,0.000501173,13.9773,1.16994,7.09686,18.985,13.6252,4.9213,0.00036375,3.54637,0.114937,0.195214,0.000131916,0.00176803,20.2938,7.84735,31.1672,0.19,18.366,16.0837,0.12495,0,7.07512,1.83353,10.2071,0.0315348,17.9898,15.6099,0.000135249,0.00349378,0.0291633,0.0160341,8.5479,0.00948456,10.1399,16.7,0.000491632,5.63424,16.644,0.0332587,6.36226,0.0155688,10.7669,0.00346109,0.000131916,6.69797,0.000131916,0.0496667,0.0397375,0.132011,0.0397905,14.4585,0.000131916,0.000131916,24.171,0.017,0.00060883,0.00625729,0.000465249,0.0259636,4.58649,0.00233333,0.000333333,1.19409,0.000465249,0.0138034,0.135181,7.80541,14.7915,0.0188628,0.0057967],"owlracle":[4.51813,4.51813,4.51813,11.5903,11.5903,11.5903,8.78818,8.78818,8.78818,14.5834,14.5834,14.5834,20.1381,20.1381,20.1381,56.0055,56.0055,56.0055,0.510814,0.510814,0.510814,0.450179,0.450179,0.450179,0.398123,0.398123,0.398123,2.55292,2.55292,2.55292,13.3571,13.3571,13.3571,2.2679,0.0253122,0.0253122,3.25085,0.0474004,0.0474004,0.0474004,4.40201,4.40201,4.40201,17.4689,17.4689,17.4689,1.2151,1.2151,1.2151,15.9968,15.9968,15.9968,16.1465,16.1465,16.1465,1.63273,1.63273,1.63273,1.34366,1.34366,1.34366,0.220052,0.220052,0.220052,3.69364,3.69364,3.69364,0.173794,0.173794,0.173794,4.28829,17.4088,17.4088],"etherscan":[83.7195,78.0673,70.1277,58.4359,56.4201,63.0471,82.1797,65.8066,72.7336,62.1278,100.772,63.2329,68.3316,19.4896,107.71,70.7487,24.3395,37.2777,72.8969,58.1249,61.0272,53.4591,81.4966,73.8095,73.3917,86.0508,62.7829,73.1708,56.5006,68.0977,56.4084,52.6654,98.7853,55.2524,35.7202,71.84,73.7862,79.9297,68.2854,67.5024,61.6311,74.2411,62.5341,68.9062,39.3299,51.4744,78.5619,116.871,64.3927,24.6828,57.1594,23.0674,25.465,63.4986,23.6992,24.2041,60.8834,23.8776,23.9898,166.563,76.7454,59.4544,21.9074,24.0781,24.1506,49.4132,54.9274,34.9801,25.8934,23.6756,55.9095,41.0825,69.2445]},"series7d":{"publicnode-feehistory":[0.000795821,0.0316667,7.51633,0.000427206,2.39937,0.233754,2.13297,1.41321,0.198667,0.0420402,0.000131916,0.436554,7.31327,0.00321825,0,0,17.4686,0.553004,0.198667,0.015,0.144529,0.0075775,0.0143512,24.0296,0.002,6.37536,0,10.0611,27.5982,0.0527857,0.03,3.34067,0.19624,0.264,0.0315348,7.9351,4.41747,0.00536186,21.8262,7.54663,12.0184,7.80091,4.77447,0.454667,0.0574908,0.00279485,0.0163333,0.0207853,0.650333,20.327,0.0133964,9.96438,2.75795,0.0021116,0.018,0.0149243,0.0548399,0.000278111,1.24566,38.6687,12.4036,0,0.000666667,0,5.27367,8.10795,0.111797,0.631598,0.0618485,5.39617,0.00362376,0.00920865,0.000333333,7.09686,0.114937,31.1672,7.07512,0.000135249,10.1399,6.36226,0.000131916,0.000131916,0.000465249,0.000465249,0.0057967],"owlracle":[0.684706,15.1499,19.3009,5.56395,4.05957,7.08827,26.481,1.68631,23.3012,12.3622,5.86138,3.64289,1.00021,4.32669,26.0191,1.91802,2.22674,5.37648,6.6044,1.44672,25.8204,14.0843,29.0497,20.5823,14.0929,3.35794,0.518519,0.365255,22.3984,6.9807,12.7691,0.298588,8.0328,2.74194,1.53312,40.3781,9.08781,13.9724,22.7354,27.4558,0.162203,7.47976,5.79228,13.6789,2.50016,17.1554,3.541,7.52796,95.7941,28.1811,16.3285,2.03487,0.676468,5.2667,0.796464,1.214,9.45384,8.28534,12.4111,27.7258,7.21255,9.81535,4.07611,10.7363,9.92515,21.9391,5.92392,4.69857,15.7339,14.7933,20.3003,4.96191,4.51813,8.78818,20.1381,0.510814,0.398123,13.3571,3.25085,4.40201,1.2151,16.1465,1.34366,3.69364,17.4088],"etherscan":[83.3663,70.451,54.6595,78.647,73.8409,55.1757,35.0811,97.8136,59.0592,67.9443,144.789,64.9873,55.0679,96.7346,68.6059,76.0681,72.333,84.7055,74.2916,88.1193,73.0211,70.0664,64.6173,23.923,65.1543,92.8257,71.3705,67.4198,76.0951,22.6812,88.9974,62.0648,24.5368,24.2072,21.1976,59.754,103.694,84.4463,42.9789,51.459,65.9204,60.0467,57.1298,24.2592,72.9357,99.6917,75.8222,106.248,165.119,58.9028,57.5686,86.737,95.0912,82.9822,63.6485,79.0059,68.6543,87.0576,24.506,73.5757,59.4811,65.2247,58.2309,88.3523,77.3737,29.2847,72.6875,57.7852,62.2528,23.7025,22.6838,24.2835,83.7195,82.1797,68.3316,72.8969,73.3917,56.4084,73.7862,62.5341,64.3927,23.6992,76.7454,54.9274,69.2445]},"series30d":{"publicnode-feehistory":[0.00340884,0.0182061,0.405095,0.0172562,2.86013,1.00483,4.5409,0.101096,0.0248741,0.0320837,0.330607,8.54557,0.00116972,14.0793,9.38009,0.0450911,0.0204336,2.03784,2.87012,10.8955,0.0156536,26.0039,18.62,0.0363008,0.267123,0.0129633,1.0803,18.5816,0,23.3601,8.34977,0.835732,3.2132,0.0283426,10.8815,3.95823,12.168,1.50517,0.00120142,0.00120142,13.4289,0.0052433,0.00102147,0.0316667,0.000131916,0.0283699,0.000795821,2.13297,7.31327,0.198667,0.002,0.03,4.41747,4.77447,0.650333,0.018,12.4036,0.111797,0.000333333,10.1399,0.0057967],"owlracle":[0.905704,0.113957,1.65006,15.8873,8.41511,11.0593,5.89299,2.56191,24.2505,6.56214,14.328,7.42497,5.20603,9.29849,11.2718,6.45362,7.27298,13.8568,12.183,9.39675,27.5678,18.5698,5.48306,2.80429,15.7881,0.913288,7.02166,13.6346,10.8979,7.23323,3.6978,7.07262,7.89867,2.73425,2.28609,8.28562,5.9923,6.19511,21.0033,21.0033,6.15313,1.48815,5.12147,8.9076,21.4363,1.02748,0.684706,26.481,1.00021,6.6044,14.0929,12.7691,9.08781,5.79228,95.7941,0.796464,7.21255,5.92392,4.51813,3.25085,17.4088],"etherscan":[51.6756,58.0741,46.2168,63.2891,77.3002,64.5031,130.715,24.1502,93.7989,51.3992,69.0976,77.4268,75.2049,67.8161,71.3224,75.6797,60.0598,78.0636,90.7622,79.6743,56.6663,68.1283,103.768,72.4595,61.7696,80.1759,46.789,80.3177,47.4393,78.7725,71.222,57.6267,61.0969,72.9098,75.4187,73.4893,73.5609,64.9934,43.4285,43.4285,92.0221,64.5829,88.378,58.6841,73.8626,65.6157,83.3663,35.0811,55.0679,74.2916,65.1543,88.9974,103.694,57.1298,165.119,63.6485,59.4811,72.6875,83.7195,73.7862,69.2445]},"regions":{}},"metricPanels":[{"id":"covered_rate","label":"Realized p50 covered","description":"Share of time (24h) the oracle's posted p50-tier prediction was at or above the realized p50 priority fee. High = errs on the side of inclusion; low = under-bids.","metric":"ocb:gas_p50_covered:pct_24h","unit":"pct","higherIsBetter":true,"tab":true,"values":{},"seriesByProvider":{},"seriesByProvider30d":{"owlracle":[null,null,null,null,56.5972,55.3935,53.8337,54.158,53.0093,51.9907,51.1343,44.9769,44.213,43.8426,42.4537,40.1852,44.0972,48.5805,48.8889,48.8889,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null],"etherscan":[null,null,null,null,1.94444,1.31944,1.45935,1.77206,1.70139,1.25,1.04167,0.625,0.381944,0.451389,0.451389,0.347222,0.451389,0.550661,0.515873,0.515873,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null],"publicnode-feehistory":[null,null,null,null,73.8426,69.8843,70.6278,71.508,68.8426,65.2315,64.1435,58.6343,55.0463,53.4028,53.9352,53.912,57.5231,61.9432,62.5661,62.5661,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null]},"valuesMeta":{}}],"sampleSize":37437.45,"lastRunAt":"2026-07-22T00:24:25.142Z","bestPerChain":{"ethereum":{"name":"Owlracle","slug":"owlracle","tag":"Multi-oracle aggregator, free tier 100/h","ms":{"p50":0.484884,"p90":0.287737,"p99":0.0123781,"mean":0.0850107},"successRate":5.7678899999999995,"sampleSize":1439.25,"query":"quantile_over_time(0.99, gas_error_priority_gwei{oracle=\"owlracle\", tier=\"p50\",chain=\"ethereum\"}[24h])","formula":"p99 over 24h of |Owlracle's aggregated p50-tier prediction − realized p50 priority fee| in gwei, polled every 60s and matched to the next-mined block on the active chain.","availability":"live"},"polygon":{"name":"PublicNode","slug":"publicnode-feehistory","tag":"Thin wrapper over EIP-1559 reward percentiles","ms":{"p50":108.22,"p90":47.3143,"p99":0,"mean":18.551},"successRate":99.9722,"sampleSize":7200.25,"query":"quantile_over_time(0.99, gas_error_priority_gwei{oracle=\"publicnode-feehistory\", tier=\"p50\",chain=\"polygon\"}[24h])","formula":"p99 over 24h of |PublicNode eth_feeHistory p50 reward − realized p50 priority fee| in gwei, computed per next-mined block on the active chain.","availability":"live"}},"worstPerChain":{"ethereum":{"name":"Etherscan","slug":"etherscan","tag":"Most-visited gas tracker, Ethereum + Polygon","ms":{"p50":0.99986,"p90":0.2,"p99":0.00792187,"mean":0.0988625},"successRate":97.5165,"sampleSize":5759,"query":"quantile_over_time(0.99, gas_error_priority_gwei{oracle=\"etherscan\", tier=\"p50\",chain=\"ethereum\"}[24h])","formula":"p99 over 24h of |Etherscan's ProposeGasPrice mapped to p50-tier − realized p50 priority fee| in gwei, polled every 15s and matched to the next-mined block on the active chain.","availability":"live"},"polygon":{"name":"Etherscan","slug":"etherscan","tag":"Most-visited gas tracker, Ethereum + Polygon","ms":{"p50":286.32,"p90":179.266,"p99":125.466,"mean":129.321},"successRate":95.17360000000001,"sampleSize":5761,"query":"quantile_over_time(0.99, gas_error_priority_gwei{oracle=\"etherscan\", tier=\"p50\",chain=\"polygon\"}[24h])","formula":"p99 over 24h of |Etherscan's ProposeGasPrice mapped to p50-tier − realized p50 priority fee| in gwei, polled every 15s and matched to the next-mined block on the active chain.","availability":"live"}},"providersPerChain":{"ethereum":["publicnode-feehistory","owlracle","etherscan"],"polygon":["publicnode-feehistory","owlracle","etherscan"]},"dataAsOf":1784679870891},{"slug":"stablecoin-peg","number":"014","title":"Most stable stablecoin, live peg deviation across USDC, USDT and DAI","seoTitle":"Most stable stablecoin 2026: peg deviation","seoDescription":"Most stable USD stablecoin live by peg deviation: USDC, USDT, DAI via liquidity-weighted median across venues.","seoIntro":"This benchmark answers the question that decides whether a\nstablecoin is actually $1 today. how far has the per-minute\naggregated price drifted from $1.00, on which venue, and for how\nlong. Most \"stablecoin tracker\" sites display CoinGecko or\nCoinmarketcap averages refreshed every few minutes. That\nsmooths out the venue-level discrepancies that actually matter,\nthe USDC/USDT cross-venue gap on Binance when USDC briefly\ntrades 25 bps below its Kraken quote, the USDe flash to $0.65\nthe night of October 10 2025, the DAI Curve 3pool quote\ndrifting off peg while every CEX book stays flat. We poll\nBinance, Coinbase, Kraken, Bitstamp (CEX REST tickers, 5 second\ncadence) and the Curve 3pool\non-chain (12 second cadence, matches Ethereum block time),\naggregate per-venue prices into a per-minute liquidity-weighted\nmedian per USD-quoted stable, and surface five live numbers per\nstablecoin: instantaneous deviation in basis points, cross-venue\ngap (max, min across venues), time outside the ±50 bps band over\n24 h, time below peg vs time above peg (Circle redeems above-peg\nonly, so the split tells you which side is structurally rare),\nand a depeg event flag set when the stable has been outside\n[$0.97, $1.03] for ≥5 consecutive minutes.\n","faq":[{"q":"Which stablecoin is the most stable right now?","a":"DAI currently leads the leaderboard at 0.0013% (median per-minute worst deviation, 24 h) across 3 measured stablecoins on USD-quoted venues. The leaderboard re-sorts every minute against fresh Prometheus samples, so the answer reflects the last 24 hours of measured per-minute aggregated price, not a static white-paper figure."},{"q":"What is stablecoin peg deviation in basis points?","a":"Peg deviation is the absolute distance between a stablecoin's price and $1.00, expressed in basis points where 1 bp = 0.0001 = 0.01%. A stablecoin trading at $0.9978 has 22 bps of deviation; at $1.0050 it has 50 bps. The industry uses bps because the deviations are small. tens of bps is normal noise, hundreds of bps is stress, thousands of bps is a depeg event. The leaderboard sorts on the 24 h median (p50) of the per-minute worst deviation, the everyday tightness number; the p99 column shows the worst-1% tail over the same window, the integration-grade number for any product that holds inventory in the stable."},{"q":"How does USDC compare to USDT on stability?","a":"USDC returns 0.033% (p99 deviation, 24 h) on USD-quoted venues (Kraken, Bitstamp). USDT returns 0.091% (p99 deviation, 24 h) on USD-quoted venues (Coinbase, Kraken, Bitstamp). USDC's peg is anchored by Circle's same-day USD redemption with US banks, USDT's by Tether's larger but slower-clearing redemption window. The leaderboard surfaces the live gap and the cross-venue spread per minute so the comparison is grounded in measured data rather than a sentiment-driven preference."},{"q":"Did USDe really depeg to $0.65 in October 2025?","a":"Yes, on Binance USDEUSDT specifically, the night of October 10 2025. Ethena's USDe is anchored by a delta-neutral basis trade rather than fiat reserves, and a sharp liquidation cascade on perp positions briefly cleared the orderbook on Binance well below peg. The benchmark exposes this kind of event live via the `peg_depeg_event_flag` (set when a stable has been outside [$0.97, $1.03] for ≥5 consecutive minutes) and via the USDT-anchored secondary metric. USDe's USD-anchored primary deviation cannot be measured because no major USD venue lists a deep USDe/USD pair; the USDT-anchored value is the honest live signal."},{"q":"How is the stablecoin peg measured on OpenChainBench?","a":"We poll Binance, Coinbase, Kraken and Bitstamp REST tickers every 5 seconds for every (stable, venue) pair, and the Curve 3pool `get_dy` on-chain every 12 seconds (matches Ethereum block time; DAI's price is the geometric mean of the forward and reverse quotes so the pool fee cancels). Per-venue samples are grouped into 60-second buckets and aggregated into a liquidity-weighted median per stable (weight = 24h USD volume). Deviation is `|aggregated_price - 1.00|` in basis points, recorded as both a gauge and a histogram. The leaderboard sorts on the 24 h median (p50) of the per-minute worst deviation; the p99 column shows the depeg tail. USDT-quoted pairs are exposed on a separate secondary metric so USDT's own peg deviation does not contaminate the USD-anchored primary."},{"q":"Are CoinGecko and CoinMarketCap stablecoin prices accurate during a depeg?","a":"They lag by design. Aggregator prices (CoinGecko, CoinMarketCap, DefiLlama) are liquidity-weighted medians of the venues this benchmark already polls directly, refreshed every 1-5 minutes, so during a fast depeg they smooth away the first minutes of the move and hide the venue-level cross-spread that actually matters under stress (USDT briefly $0.9978 on Kraken while $1.0003 on Coinbase). This benchmark goes to the source venues directly instead: the cross-venue gap stays visible and the depeg event flag fires within 5 minutes of the price actually breaking the band, rather than after an aggregator's median catches up."}],"subtitle":"Live peg deviation in basis points across USDC, USDT and DAI, computed every minute from a liquidity-weighted median across Binance, Coinbase, Kraken, Bitstamp and Curve.","category":"Trading","status":"live","editorialStatus":"live","metric":"Peg deviation","unit":"bps","higherIsBetter":false,"abstract":"We measure live stablecoin peg deviation by pulling mid-price\nticks from every venue that exposes a USD-quoted pair for a given\nstable, then aggregating per-minute into a liquidity-weighted\nmedian. Deviation is `|aggregated_price - 1.00|` in basis points,\nrecorded as both a gauge (latest) and a histogram (per-minute\nsamples). The leaderboard sorts on the 24 h median (p50) of the\nper-minute worst deviation, the everyday tightness number; a\nseparate p99 column shows the depeg tail over the same window.\nUSDT-quoted pairs (Binance USDC/USDT, FDUSD,\nUSDe) are deliberately excluded from the primary ranking because\nUSDT's own peg deviation would contaminate every other stable's\nmeasurement; they are exposed on a separate `peg_deviation_usdt_anchored`\nmetric instead. DAI's CEX coverage is essentially dead in 2026\n(Binance zero book, Kraken thin, Bitstamp dead), so the only\nhonest signal is on-chain via Curve 3pool's `get_dy`. We quote\nthe pool both forward (USDC → DAI) and reverse (DAI → USDC) and\npublish the geometric mean of the two, which cancels the pool\nswap fee exactly; only genuine pool imbalance moves DAI's\nnumber. A binary `peg_depeg_event_flag`\ngoes high when a stable spends ≥5 consecutive minutes outside\n[$0.97, $1.03] and clears after 30 minutes back inside;\nconservative so it does not flap on normal stress.\n","methodology":["Sources per stable, USDC: Binance USDC/USDT (USDT-anchored, secondary), Kraken USDCUSD, Bitstamp usdcusd. USDT: Coinbase USDT-USD, Kraken USDTUSD, Bitstamp usdtusd. FDUSD: Binance FDUSDUSDT (USDT-anchored, secondary). USDe: Binance USDEUSDT (USDT-anchored, secondary). DAI: Curve 3pool `get_dy`, quoted forward (USDC → DAI) and reverse (DAI → USDC), published as the geometric mean of the two quotes.","DAI's source class differs from the rest. No liquid CEX USD pair for DAI exists (live check July 2026: Kraken DAIUSD under $150k per 24 h with a 9 bps spread, Bitstamp at zero volume, Coinbase DAI-USD delisted), so DAI is measured from the Curve 3pool on-chain quote while USDC and USDT come from CEX tickers. The geometric mean of forward and reverse `get_dy` cancels the pool swap fee; residual pool imbalance is DAI's genuine price signal, not an artifact.","Cadence: 5 seconds for CEX REST tickers, 12 seconds for Curve `get_dy` on-chain (matches Ethereum block time). Per-venue samples are grouped into 60-second buckets for the liquidity-weighted median aggregation.","Aggregation: per-minute liquidity-weighted median across USD-quoted venues (`Quote = QuoteUSD`). Weight is 24 h USD volume estimate. The aggregated price drives `peg_deviation_bps` (per-minute median, retained for backward compatibility) and `peg_deviation_bps_histogram`.","Primary headline: `peg_deviation_worst_bps`, the per-minute MAX |price - $1.00| across all venue samples in the 60-second bucket, in bps. The ledger sorts on `quantile_over_time(0.50, peg_deviation_worst_bps[24h])`, the 24 h median (everyday tightness); the p99 column is the depeg tail. Per-minute max surfaces sub-minute depeg wicks a median would smooth away. Gauges `peg_minute_min_bps`, `peg_minute_open_bps`, `peg_minute_close_bps` expose the bar shape.","Cross-venue gap (OCB-only number): `max(price across USD-quoted venues) - min(price)`, per minute, in basis points. Surfaces the windows where Coinbase quotes USDT at $1.0003 while Kraken quotes $0.9978. Stored as `peg_cross_venue_gap_bps`.","USDT-anchored secondary metric: Binance USDC/USDT, FDUSD/USDT and USDE/USDT are exposed on `peg_deviation_usdt_anchored_bps{venue}` separately so the USD-anchored primary leaderboard is not contaminated by USDT's own peg deviation.","Time outside band: total seconds in the trailing 24 h during which the per-minute aggregated price fell outside [0.995, 1.005] (±50 bps). Split into `peg_time_below_peg_24h_seconds` (< 0.995) and `peg_time_above_peg_24h_seconds` (> 1.005) because Circle redemption only clears above-peg, so the direction tells you which failure mode is active.","Depeg event flag: binary `peg_depeg_event_flag` set to 1 when the per-minute aggregated price has been outside [0.97, 1.03] for ≥5 consecutive minutes; cleared after 30 minutes back inside. Conservative so it does not flap during normal stress events.","Outlier rule (multi-venue consensus): a sample more than 2% off peg is kept only when at least one other venue was outside the same band in the same direction within the last 30 seconds. Isolated single-venue glitches are dropped as `dropped_isolated`; corroborated moves (Kraken AND Bitstamp both at $0.87) are kept as `kept_corroborated`, so a real depeg like USDC during SVB in March 2023 survives into the percentile metric. Anything more than 50% off peg is treated as a parser bug and dropped.","Excluded by design: aggregator-only prices (CoinGecko, Coinmarketcap, DefiLlama) because they are themselves liquidity-weighted medians of the venues we already poll directly. Algo-stables that have already failed (UST, USDR) are out of scope; the bench tracks live, currently-redeemable stables."],"findings":["DAI currently leads at 0.0013% (median per-minute worst deviation, 24 h) across 3 measured stablecoins. The number is the 24 h median (p50) of each minute's worst distance from $1.00, in basis points, on USD-quoted venues only; the p99 column shows the depeg tail.","USDC returns 0.033% (p99 deviation, 24 h). USDC's peg is anchored by Circle's primary-market redemption window with US banks, so USD-quoted CEX deviations are usually mean-reverted within minutes by arbitrageurs hitting Kraken or Bitstamp.","USDT sits at 0.091% (p99 deviation, 24 h). USDT carries the secondary-market premium of being the dominant pair currency on Binance and most non-US CEXes, so its CEX deviation is structurally biased above $1 during risk-on minutes and below during risk-off.","DAI clocks 0.0094% (p99 deviation, 24 h) measured on Curve 3pool, the geometric mean of forward and reverse `get_dy` so the pool swap fee cancels out. DAI's CEX coverage is essentially dead in 2026 so the on-chain pool quote is the only honest signal; the source class differs from the CEX-measured stables and is stated in the methodology.","USDe and FDUSD are USDT-anchored on Binance (no deep USD-quoted venue exists for either) and live on the companion bench `stablecoin-peg-usdt-anchored` (bench № 015), which is the only honest comparison surface for them. Mixing them into a USD-anchored leaderboard would compare apples to oranges since their deviation includes USDT's own drift.","USDT trails at 0.082% (median per-minute worst deviation, 24 h) on the active filter. The gap between leader and laggard widens on volatile minutes, the cross-venue gap column surfaces how synchronized the venues are at the exact moment of stress."],"source":"https://github.com/ChainBench/OpenChainBench/tree/main/harnesses/stablecoin-peg","results":[{"name":"USDC","slug":"usdc","tag":"Circle, USD-redeemed primary, audited on Kraken + Bitstamp","ms":{"p50":1.5,"p90":2.5,"p99":3.25,"mean":1.72372},"successRate":100,"sampleSize":51840,"query":"quantile_over_time(0.50, peg_deviation_worst_bps{stable=\"usdc\"}[24h])","formula":"24h median of the per-minute worst |aggregated_price − $1.00| in bps; aggregated_price is the per-minute liquidity-weighted median of USDCUSD ticks on Kraken and Bitstamp.","availability":"live","meta":{"observedAt":1784679902503}},{"name":"USDT","slug":"usdt","tag":"Tether, dominant CEX pair currency, audited on Coinbase + Kraken + Bitstamp","ms":{"p50":8.2,"p90":8.7,"p99":9.1,"mean":7.87785},"successRate":100,"sampleSize":51840,"query":"quantile_over_time(0.50, peg_deviation_worst_bps{stable=\"usdt\"}[24h])","formula":"24h median of the per-minute worst |aggregated_price − $1.00| in bps; aggregated_price is the per-minute liquidity-weighted median of USDT/USD ticks on Coinbase, Kraken and Bitstamp.","availability":"live","meta":{"observedAt":1784679902503}},{"name":"DAI","slug":"dai","tag":"MakerDAO, on-chain only via Curve 3pool, no liquid CEX USD pair exists in 2026","ms":{"p50":0.13274,"p90":0.922526,"p99":0.940871,"mean":0.355018},"successRate":99.9479,"sampleSize":7200.25,"query":"quantile_over_time(0.50, peg_deviation_worst_bps{stable=\"dai\"}[24h])","formula":"24h median of the per-minute worst |dai_price − $1.00| in bps; dai_price is the geometric mean of Curve 3pool get_dy forward and reverse quotes (pool swap fee cancels), polled every 12s.","availability":"live","meta":{"observedAt":1784679902503}}],"extras":{"series24h":{"usdc":[1.5,1.5,1.5,1.5,1.5,1.5,1.5,1.5,1.5,1.5,1.5,1.5,1.5,1.5,1.5,1.5,1.5,1.5,1.5,1.5,1.5,1.5,1.5,1.5,1.5,1.5,1.5,2.5,2.5,1.5,1.5,1.5,1.5,1.5,1.5,2.5,4.1,3.9,2.5,2.5,2.5,2.5,2.5,2.5,2.5,1.5,1.5,1.5,1.5,1.65,1.5,1.5,1.5,2.9,1.5,1.5,1.5,2.4,1.5,1.5,1.5,1.5,1.5,1.5,1.5,1.5,1.5,1.5,2.85,1.5,1.5,1.5,1.5],"usdt":[7.9,7.6,8.35,8.65,8.05,8,8.5,8.55,8.55,8.25,8.35,8.25,8.35,8.05,8.15,8.4,8.65,8.65,8.55,8.2,8.55,8.5,9.05,8.35,8.8,8.2,8.35,8.2,8.5,8.55,8.95,8.95,8.95,9.05,8.7,9.25,8.25,8.5,8.15,8.8,8.25,8.25,7.55,7.3,7.7,6.95,5.95,6.45,6.9,6.05,5.85,6.05,6.95,6.7,6.65,7.7,7.45,6.65,6.65,6.65,6.65,6.8,7.2,7.45,7.55,7.65,8.05,7.75,7.7,7.75,8.15,8.35,8.5],"dai":[0.0409874,0.0524393,0.0624764,0.0717279,0.0804883,0.0804899,0.0804899,0.0804342,0.0804335,0.0804988,0.0805024,0.0805247,0.102508,0.102508,0.102467,0.120099,0.132732,0.13274,0.13274,0.154362,0.172234,0.181137,0.19004,0.190041,0.181472,0.872399,0.872352,0.872629,0.872628,0.931888,0.923627,0.913486,0.910981,0.911008,0.92067,0.922075,0.922075,0.922291,0.930436,0.930292,0.930203,0.940871,0.930084,0.830363,0.702862,0.682667,0.360616,0.383696,0.413181,0.420762,0.423295,0.430729,0.0115273,0.0211393,0.000737538,0.0323709,0.231986,0.141439,0.072918,0.0639071,0.0639068,0.0639069,0.0639017,0.0628708,0.0633451,0.112763,0.112761,0.112682,0.112682,0.112683,0.112683,0.11256,0.0511383]},"series7d":{"usdc":[2.65,2.5,2.5,2.5,2.5,2.5,3.2,2.5,2.5,2.5,2.5,2.5,3.3,3.1,2.5,2.5,2.5,2,1.75,1.85,1.5,1.5,1.9,1.65,1.5,1.5,3.2,1.95,2.05,3.5,1.6,1.5,1.5,1.5,1.65,2.5,1.5,2.7,1.5,1.5,2.3,2.35,1.6,1.5,1.5,1.5,1.5,1.5,1.5,1.75,1.65,1.6,1.5,2.45,2.2,2.6,1.65,1.6,1.5,1.5,1.5,1.5,1.5,1.5,1.6,1.5,2.5,2.5,2.5,2.5,2.5,1.5,1.5,1.5,1.5,1.5,1.5,1.5,4.1,2.5,1.5,1.5,1.5,1.5,1.5],"usdt":[7.25,7.55,8.35,7.65,8.15,8.65,9.45,10.4,8.65,8.5,8.55,7.05,7.05,7.45,9.35,8.65,9.45,9.2,9.15,9.2,9.3,8.45,8.35,9.6,8.85,9.45,9.25,9.65,10.15,10.35,10.15,11.25,8.85,8.15,7.7,8.05,7.55,7.9,7.65,8.05,8.15,7.9,7.85,7.95,7.85,7.75,7.65,7.85,7.8,7.8,8.05,7.85,7.45,7.55,8.2,8.55,8.5,8.45,8.35,7.8,8.2,8.3,8.55,9.4,10.35,12.35,11.8,11.15,9.55,9.2,8.45,8.1,7.9,8.5,8.35,8.55,8.8,8.95,8.25,7.55,6.9,6.65,6.65,8.05,8.5],"dai":[0.153441,0.161516,0.164369,0.413812,0.310448,0.59318,0.811556,0.881913,0.643862,0.641231,0.553726,0.274194,0.262488,0.490752,0.490552,0.474797,0.184514,0.65251,0.97197,0.700673,0.742915,0.564505,0.56445,0.563518,0.563538,0.682706,0.690658,0.930071,1.01122,1.49508,1.4941,0.564097,0.561182,0.392067,0.0512592,0.0235728,0.230223,0.23011,0.221407,0.0643814,0.0636693,0.0636428,0.0645593,0.0645809,0.324029,0.324877,0.325008,0.560055,1.0136,1.01064,1.00302,0.831025,0.800108,0.79211,0.830973,0.491729,0.470342,0.464044,0.482138,0.504774,0.555015,0.243695,0.270218,0.0117964,0.162203,0.134995,0.0624626,0.530817,0.18244,0.392224,0.0747831,0.0346438,0.0409874,0.0804899,0.102508,0.13274,0.181472,0.923627,0.922075,0.930084,0.413181,0.000737538,0.0639068,0.112761,0.0511383]},"series30d":{"usdc":[2.5,3.05,4.7,5.05,5.9,3.05,3.5,3.15,4.05,5.85,6.2,6.75,6,6.65,6.85,3.65,4.7,4.625,4.55,4.5,3.5,3.5,3.6,2.5,2.35,2.15,2.5,2.5,2.5,2.5,2.5,1.6,1.85,2.5,2.85,2.5,2.5,2.5,2.5,2.5,2.5,4.45,4.8,2.65,2.5,2.5,2.65,3.2,3.3,1.75,1.5,1.6,1.5,1.6,1.5,2.2,1.5,2.5,1.5,4.1,1.5],"usdt":[12.45,10.55,11.75,11.55,12.75,14.25,16.05,15.05,15.25,14.95,14.95,15.95,15.3,15.05,16.15,14.65,14.55,16.2,15.9,12.35,11.2,13.85,12,11.55,10.3,9.25,9.5,9.15,9.7,10.35,6.95,10.45,7.35,9.85,9.2,11.55,8.7,8.45,7.45,7.45,7.75,8.2,7,9.2,12.65,11.75,7.25,9.45,7.05,9.15,8.85,10.15,7.55,7.85,7.8,8.2,8.2,11.8,7.9,8.25,8.5],"dai":[2.31,2.3,2.11,1.56303,1.84,1.86,2.04227,1.51,2.09722,1.62,2.77853,2.92933,2.62537,2.24745,1.57,1.51785,1.65,1.54203,1.556,1.62483,1.5,1.73,1.55,1.74146,1.56967,2.58817,2.06586,2.20547,1.62204,2.45,1.61245,1.85856,1.6,2.07,0.224554,0.351895,0.152161,0.773889,0.913019,0.913019,0.0302238,0.53403,0.664932,0.0610686,0.731725,0.940076,0.153441,0.811556,0.262488,0.97197,0.563538,1.4941,0.230223,0.0645593,1.0136,0.830973,0.555015,0.0624626,0.0409874,0.922075,0.0511383]},"regions":{}},"sampleSize":110880.25,"lastRunAt":"2026-07-22T00:24:49.133Z","dataAsOf":1784679902503},{"slug":"stablecoin-peg-usdt-anchored","number":"015","title":"Cheapest USDT stablecoin swap on Binance, live USDC, FDUSD, USDe spread","seoTitle":"Cheapest stablecoin swap Binance 2026","seoDescription":"Cheapest stablecoin swap on Binance ranked live. Basis points eaten on USDC/USDT, FDUSD/USDT, USDE/USDT pairs. p99 over 24h, audited every 5 seconds.","seoIntro":"This benchmark answers the question every CEX trader has when\nrotating stablecoin inventory on Binance. how many basis points do\nI actually lose swapping X to USDT (or USDT to X) on the deepest\npair available. We poll Binance's bookTicker for USDC/USDT,\nFDUSD/USDT and USDE/USDT every 5 seconds, record the mid-price,\nand measure its distance from 1.0000 USDT. p99 over 24 hours is\nthe headline. the worst-1%-of-minutes number a desk holding\ninventory has to budget against on a forced rebalance. This is\nNOT a measurement of which stablecoin is fundamentally safest.\nCash-backed USDC, monthly-audited FDUSD, and basis-trade-anchored\nUSDe carry fundamentally different reserve risks that no\norder-book spread can capture. What this bench DOES tell you is.\non the venue that actually carries depth for FDUSD and USDe,\nwhich pair trades tightest to USDT right now. USDC/USDT is\nincluded as a reference baseline. it's the most liquid stablecoin\npair on the venue ($2.8B+ daily) and its spread is mostly USDT's\nown drift away from USD reaching back, so subtract its number to\nread each other stable's \"true vs-USDT\" drift. The October 10\n2025 USDe flash to $0.65 on Binance USDEUSDT is the tail event\nthe surface is wired to catch. the depeg event flag fires within\n5 minutes of any pair breaking the [0.97, 1.03] band.\n","faq":[{"q":"What does this benchmark actually measure?","a":"The live spread between each Binance X/USDT stablecoin pair and the 1.0000 USDT reference, in basis points. Concretely. if you swap $1000 of USDC to USDT on Binance and the current USDC/USDT spread is 7 bps, you eat ~$0.70 in pair-drift cost (on top of the 0.1% Binance trading fee). This bench ranks the live swap-cost reality on the deepest non-US venue, NOT the fundamental safety of each stablecoin's reserve structure."},{"q":"Is this the same as 'which stablecoin is safest to hold'?","a":"No, and it would be misleading to read it that way. USDC is cash-backed and audited monthly. FDUSD is also cash-backed and audited monthly but Hong Kong-clearing. USDe is not USD-backed at all but anchored by a delta-neutral perp basis trade. These carry fundamentally different reserve risks that no order-book spread can capture. A tight calm-minute pair spread on Binance does not imply a robust peg under stress. for fundamental peg signals (reserve attestations, on-chain pool depth, basis-trade health) read the issuer's transparency dashboard, not this bench."},{"q":"What is USDC doing on a USDT-anchored bench?","a":"USDC serves as a reference anchor. USDC currently shows 0.072% (p99 spread vs USDT, 24 h) on Binance USDCUSDT, the most liquid stablecoin pair on the venue ($2.8B daily). USDC is the cleanest cash-backed stablecoin in the cohort, so any drift it shows here is mostly USDT's own drift away from USD reaching back into the pair. Subtract USDC's p99 from any other stable's p99 to get its true vs-USDT drift, controlling for USDT's own USD drift."},{"q":"Why FDUSD and USDe specifically?","a":"Because they have no other honest live signal. FDUSD's depth lives almost entirely on Binance FDUSDUSDT ($41M daily, no comparable USD-quoted venue). USDe's main spot book is Binance USDEUSDT ($1.8M daily, same situation). The USD-anchored bench `stablecoin-peg` (№ 014) covers USDC / USDT / DAI which have real USD-quoted venues (Kraken, Bitstamp, Curve). This companion bench is the only place where FDUSD and USDe can be measured on a live order book at all."},{"q":"Did USDe really flash to $0.65 on Binance?","a":"Yes, on Binance USDEUSDT specifically, the night of October 10 2025. A sharp liquidation cascade on perpetual futures cleared the orderbook well below the 1.0000 reference for several minutes. Ethena's USDe is not reserve-backed. it's anchored by a delta-neutral basis trade on perps, so when perp markets dislocate, the spot can follow without any redemption mechanism stepping in fast enough. The depeg event flag on this bench fires within 5 minutes of any pair breaking the [0.97, 1.03] band, so a recurrence would be visible live."},{"q":"How is this different from stablecoin-peg (bench № 014)?","a":"Bench № 014 measures USDC / USDT / DAI against $1.00 USD using Kraken USD pairs, Bitstamp USD pairs and Curve 3pool on-chain. Honest USD anchor, real peg measurement. but it can't cover FDUSD or USDe because no deep USD-quoted venue exists for them. This bench (№ 015) measures USDC / FDUSD / USDe against 1.0000 USDT on Binance. Same venue, same cadence, same currency. one is a peg-robustness measurement, the other is a swap-cost measurement on the deepest CEX. Read them together for a complete picture."},{"q":"Which stable should I hold on Binance for the lowest rotation cost?","a":"USDe currently has the tightest pair at 0.055% (p99 spread vs USDT, 24 h). The leaderboard re-sorts every minute. For inventory sizing, use p99 rather than p50, because the spread during a forced rebalance under stress is what determines actual cost, not the calm-minute median. Combine with the success-rate column and the fundamental reserve-risk story (which this bench does NOT capture) before committing meaningful inventory."}],"subtitle":"Basis points you eat swapping inventory between stables on Binance. Spread of each X/USDT mid-price from 1.0000 USDT, audited every 5 seconds.","category":"Trading","status":"live","editorialStatus":"live","metric":"USDT-pair spread","unit":"bps","higherIsBetter":false,"abstract":"We measure the live spread between each USDT-quoted stablecoin\npair on Binance and the 1.0000 USDT reference. The harness polls\n`/api/v3/ticker/bookTicker` every 5 seconds per pair (USDCUSDT,\nFDUSDUSDT, USDEUSDT), records the mid-price (bid + ask) / 2, and\nemits `peg_deviation_usdt_anchored_bps{stable, venue}` per scrape.\np50, p90 and p99 over 24 h are computed via Prometheus\n`quantile_over_time`. The leaderboard ranks by p99, the worst-1%\ntail a desk rebalancing inventory has to budget for. Calling this\n\"stability\" would be misleading. it is the live swap-cost reality\nof moving inventory between stables on the deepest non-US venue,\nnot a measurement of underlying peg robustness. USDC/USDT sits on\nthe leaderboard as a reference anchor because USDC's deviation\nhere is mostly USDT's own drift reaching back into the pair, so\nany stable scoring above USDC is genuinely wider vs USDT, and any\nstable scoring below is in fact tracking USDT more tightly than\nUSDC is. Polling at 5 second cadence keeps the harness inside\nBinance's free-tier bookTicker rate budget while preserving fine\nenough resolution to register a flash-depeg within seconds of the\norder book printing it.\n","methodology":["Source: Binance REST `/api/v3/ticker/bookTicker?symbol=<pair>` polled every 5 seconds per pair. No API key required. Mid-price = (bid + ask) / 2 in USDT.","Pairs: USDCUSDT ($2.8B daily, reference anchor for USDT-vs-USD drift), FDUSDUSDT ($41M daily, FDUSD's primary book), USDEUSDT ($1.8M daily, the book that flashed to $0.65 on October 10 2025).","Metric: `peg_deviation_usdt_anchored_bps{stable, venue=\"binance\"}` = |mid_price - 1.0000| × 10000. 1 bp = 0.01% = 0.0001 USDT off pair-reference.","Aggregation: p50 / p90 / p99 over 24 hours via Prometheus `quantile_over_time`. p99 is the headline because swap cost during stress is what matters for inventory rotation, not the calm-minute median.","USDC reference anchor: USDC/USDT spread is the floor below which no other pair can credibly score, because that gap reflects USDT's own drift away from USD reaching back into the pair. Read other stables' true vs-USDT drift as `their_p99 - usdc_p99` to control for it.","Depeg event flag (shared with bench № 014): binary `peg_depeg_event_flag{stable}` fires when the per-minute aggregated price is outside [0.97, 1.03] for ≥5 consecutive minutes. The flag clears after 30 minutes back inside the band. Conservative so it does not flap during normal stress.","Out of scope: this is a swap-cost / pair-spread bench, NOT a peg-robustness bench. Reserve attestations, basis-trade health, redemption windows, on-chain pool liquidity and other fundamental peg signals live on `stablecoin-peg` (bench № 014) or off-chain in each issuer's transparency dashboard."],"findings":["USDe currently has the tightest pair on Binance at 0.055% (median per-minute worst spread vs 1.0000 USDT, 24 h) across 3 measured stables. That is the worst 1% of per-minute mid-price distance from the pair reference, in basis points.","USDC sits at 0.072% (p99 spread vs USDT, 24 h). USDC is the reference anchor. its spread is mostly USDT's own drift away from USD reaching back, so subtract this number from each other stable's p99 to read its true vs-USDT drift. A stable scoring below USDC is in fact tracking USDT more tightly than USDC is.","FDUSD clocks 0.17% (p99 spread vs USDT, 24 h) on Binance FDUSDUSDT. FDUSD's depth lives almost entirely here ($41M daily) so the order-book number is the only live signal that matters for inventory rotation. First Digital's USD reserves are audited monthly but Hong Kong-clearing is slower than Circle's same-day, which surfaces here as wider tails during risk-off minutes.","USDe returns 0.065% (p99 spread vs USDT, 24 h) on Binance USDEUSDT. Ethena's USDe is anchored by a delta-neutral perp basis trade, not USD reserves, which makes its tail behaviour fundamentally different. The October 10 2025 flash to $0.65 on this exact book is the cautionary precedent. a tight calm-minute spread does not imply a robust peg under perp-market stress.","FDUSD trails at 0.15% (median per-minute worst spread vs USDT, 24 h). The gap between leader and laggard mostly reflects book depth and how each stable's redemption / arbitrage mechanism resists Binance order-book stress during high-volatility minutes."],"source":"https://github.com/ChainBench/OpenChainBench/tree/main/harnesses/stablecoin-peg","results":[{"name":"USDC","slug":"usdc","tag":"Reference anchor (USDC/USDT, $2.8B daily)","ms":{"p50":6.05,"p90":6.95,"p99":7.25,"mean":5.90805},"successRate":100,"sampleSize":17280,"query":"quantile_over_time(0.50, peg_deviation_usdt_anchored_bps{stable=\"usdc\", venue=\"binance\"}[24h])","formula":"Median |mid_price − 1.0000| in bps on Binance USDCUSDT bookTicker, polled every 5s and aggregated over 24h via quantile_over_time.","availability":"live","meta":{"observedAt":1784679902463}},{"name":"FDUSD","slug":"fdusd","tag":"First Digital, Binance FDUSDUSDT ($41M daily)","ms":{"p50":15.5,"p90":17.5,"p99":17.5,"mean":15.6937},"successRate":100,"sampleSize":17280,"query":"quantile_over_time(0.50, peg_deviation_usdt_anchored_bps{stable=\"fdusd\", venue=\"binance\"}[24h])","formula":"Median |mid_price − 1.0000| in bps on Binance FDUSDUSDT bookTicker, polled every 5s and aggregated over 24h via quantile_over_time.","availability":"live","meta":{"observedAt":1784679902463}},{"name":"USDe","slug":"usde","tag":"Ethena synthetic dollar, Binance USDEUSDT ($1.8M daily)","ms":{"p50":5.5,"p90":6.5,"p99":6.5,"mean":5.74878},"successRate":100,"sampleSize":17280,"query":"quantile_over_time(0.50, peg_deviation_usdt_anchored_bps{stable=\"usde\", venue=\"binance\"}[24h])","formula":"Median |mid_price − 1.0000| in bps on Binance USDEUSDT bookTicker (the book that flashed to $0.65 Oct 10 2025), 5s polls over 24h.","availability":"live","meta":{"observedAt":1784679902463}}],"extras":{"series24h":{"usdc":[5.95,5.95,5.95,5.95,6.15,6.15,6.05,6.45,6.35,6.45,6.75,6.85,6.55,6.55,6.75,6.95,7.05,7.05,6.95,7.05,6.65,6.65,7.05,7.05,6.65,6.65,6.5,6.35,6.45,6.25,6.55,6.45,6.35,6.15,6.15,6.15,5.95,5.95,6.15,6.65,7.15,6.95,6.25,5.35,4.95,4.35,4.45,4.75,4.85,4.65,4.65,4.85,5.45,5.45,5.35,4.85,4.85,5.25,5.05,5.05,5.35,5.25,4.75,4.85,4.55,4.85,5.05,5.25,5.55,5.45,5.65,5.55,5.75],"fdusd":[15.5,16.5,16.5,16.5,17.5,17.5,17.5,17.5,17.5,17.5,16.5,16.5,17.5,17.5,17.5,17.5,17.5,16.5,15.5,14.5,15.5,15.5,14.5,14.5,14.5,14.5,14.5,14.5,14.5,14.5,14.5,14.5,15.5,16.5,16.5,16.5,16.5,16.5,16.5,16.5,16.5,15.5,15.5,14.5,13.5,13.5,13.5,13.5,14.5,15.5,15.5,15.5,15.5,16.5,16.5,16.5,16.5,15.5,15.5,15.5,16.5,16.5,16.5,16.5,16.5,16.5,14.5,12.5,13.5,14.5,14.5,14.5,14.5],"usde":[6.5,6.5,6.5,6.5,6.5,6.5,6.5,6.5,6.5,6.5,6.5,6.5,6.5,6.5,6.5,6.5,5.5,5.5,5.5,5.5,5.5,5.5,5.5,5.5,5.5,5.5,5.5,5.5,5.5,5.5,5.5,5.5,5.5,5.5,6.5,6.5,5.5,5.5,5.5,5.5,5.5,5.5,5.5,5.5,5.5,5.5,5.5,5.5,5.5,5.5,5.5,5.5,5.5,5.5,5.5,5.5,5.5,5.5,5.5,5.5,5.5,5.5,5.5,5.5,5.5,5.5,5.5,5.5,5.5,5.5,5.5,5.5,5.5]},"series7d":{"usdc":[5.35,5.55,6.25,5.35,5.75,5.85,6.85,6.95,6.75,6.25,5.15,4.65,4.85,5.15,6.25,6.15,6.65,7.15,6.75,6.95,6.65,6.25,6.25,6.45,6.75,7.45,7.35,7.75,8.15,8.35,8.05,8.15,6.55,5.85,5.35,5.15,5.55,5.45,6.05,6.05,6.25,6.05,6.15,6.05,5.9,5.95,5.95,5.55,5.25,5.65,5.45,6.05,6.05,6.05,6.15,6.75,6.45,6.05,6.15,6.05,6.35,6.25,6.75,7.15,8.05,8.05,8.55,8.85,6.95,6.45,5.75,6.25,5.95,6.05,6.55,6.95,6.65,6.55,5.95,6.25,4.85,5.35,5.35,5.05,5.75],"fdusd":[20.5,20.5,19.5,19.5,20.5,20.5,20.5,18.5,18.5,16.5,17.5,18.5,16.5,16.5,16.5,16.5,20.5,20.5,20.5,19.5,20.5,21.5,21.5,18.5,17.5,17.5,14.5,19.5,19.5,19.5,19.5,20.5,19.5,21.5,21.5,21.5,22.5,22.5,22.5,22.5,22.5,22.5,22.5,22.5,22.5,19.5,19.5,19.5,19.5,19.5,19.5,19.5,19.5,19.5,19.5,19,18.5,13.5,14.5,15.5,17.5,16.5,16.5,18.5,18.5,19.5,20.5,20.5,19.5,20.5,20.5,20.5,15.5,17.5,17.5,15.5,14.5,14.5,16.5,15.5,14.5,16.5,16.5,14.5,14.5],"usde":[5.5,3.5,3.5,4.5,4.5,4.5,4.5,5.5,5.5,4.5,4.5,4.5,3.5,3.5,4.5,4.5,5.5,5.5,4.5,4.5,5.5,5.5,5.5,5.5,4.5,4.5,4.5,4.5,4.5,4.5,4.5,4.5,4.5,5.5,5.5,5.5,5.5,5.5,5.5,5.5,5.5,4.5,4.5,4.5,4.5,3.5,3.5,3.5,3.5,3.5,5.5,5.5,5.5,5.5,3.5,4.5,4.5,4.5,4.5,4.5,4.5,5.5,5.5,5.5,5.5,5.5,5.5,8.5,7.5,7.5,6.5,6.5,6.5,6.5,6.5,5.5,5.5,5.5,5.5,5.5,5.5,5.5,5.5,5.5,5.5]},"series30d":{"usdc":[9.35,7.65,8.65,8.55,9.75,10.65,12.75,11.55,11.35,10.85,10.95,11.95,11.15,10.85,12.05,10.75,10.35,11.75,11.55,8.65,7.65,9.55,9.55,9.05,7.85,6.65,6.45,6.75,6.75,7.75,4.95,7.95,5.05,6.85,6.05,7.55,5.75,5.05,4.95,4.95,4.95,4.25,4.05,6.25,10.05,8.35,5.35,6.85,4.85,6.75,6.75,8.05,5.55,6.15,5.25,6.15,6.35,8.55,5.95,5.95,5.75],"fdusd":[8.5,3.5,5.5,15.5,10.5,12.5,22.5,16.5,17.5,19.5,13.5,12.5,14.5,11.5,14.5,17.5,18.5,22.5,22.5,21.5,20.5,18.5,20.5,19.5,13.5,15.5,14.5,13.5,14.5,19.5,13.5,19.5,19.5,22.5,22.5,22.5,22.5,14.5,21,21,19.5,22.5,21.5,21.5,22.5,22.5,20.5,20.5,16.5,20.5,17.5,19.5,22.5,22.5,19.5,19.5,17.5,20.5,15.5,16.5,14.5],"usde":[0.5,1.5,1.5,1.5,1.5,4.5,3.5,3.5,3.5,5.5,4.5,5.5,4.5,4.5,3.5,2.5,2.5,5.5,4.5,4.5,4.5,3.5,5.5,5.5,2.5,3.5,5.5,5.5,5.5,5.5,5.5,5.5,5.5,7.5,6.5,4.5,2.5,2.5,1.5,1.5,6.5,3.5,3.5,4.5,9.5,9.5,5.5,4.5,3.5,4.5,4.5,4.5,5.5,4.5,3.5,3.5,4.5,5.5,6.5,5.5,5.5]},"regions":{}},"sampleSize":51840,"lastRunAt":"2026-07-22T00:24:49.122Z","dataAsOf":1784679902463},{"slug":"solana-tx-landing","number":"016","title":"Solana transaction landing services market share","seoTitle":"Solana tx landing services benchmark 2026","seoDescription":"Live observational benchmark of Solana tx landing services. Market share by tx count, attributed via tip wallets.","seoIntro":"This benchmark answers the question every Solana dev choosing a\ntransaction landing service asks. who actually carries the flow,\nwhat does it cost, and is it growing or shrinking. Marketing\npages quote self-reported \"99% landing rate\" without methodology;\nthis page measures the reality on-chain by observing the known\ntip wallets each service publishes in its docs. Every confirmed\nSolana transaction that pays a tip to one of ~72 known landing-\nservice wallets is attributed to that service. Zero on-chain\nfootprint, we don't send tx ourselves, we watch the chain.\nCoverage. 8 services with cleanly attributable tip wallets.\nJito Block Engine (the OG, 8 wallets), Helius Sender (10 wallets,\ndisjoint from Jito's pool), Nozomi by Temporal Labs (17 wallets\nwith `noz` vanity prefix), bloXroute Trader API (17 `bLx` wallets),\n0slot.trade (10 wallets), NextBlock (8 wallets), Astralane Iris,\nSolanaVibeStation Lightspeed. Blind spots. Syncro Sender (per-\ncustomer tip wallets, undisclosed), Slipstream (pure router whose\ntx land via underlying senders' wallets and get attributed to\nthose), and any direct-RPC tx that doesn't pay a tip (a large\nshare of total Solana traffic, but not what this bench measures).\n","disclaimer":"Three caveats. (1) Market share, NOT landing rate, measuring success rates would require sending controlled tx, which costs SOL. (2) Jito is over-counted, other services (Helius Sender, Astralane, bloXroute) fan-out tips to Jito alongside their own wallet, inflating Jito's counter. (3) High share ≠ best, Nozomi has tiny share but charges 10x higher tips for guaranteed inclusion. Pick on latency / cost / reliability fit, not leaderboard position.\n","faq":[{"q":"Why are the p50 / p90 / p99 columns identical?","a":"This bench has no latency dimension, so the percentile slots are repurposed: every aggregate column carries the same 24h attributed-tx count, and the Success column reports the harness's chain-subscription health rather than any per-service delivery rate. The ranking signal is the count itself (market share); the columns exist because the ledger layout is shared with latency benches."},{"q":"What is a Solana landing service?","a":"Solana has no traditional mempool. Transactions go directly to the current and next slot leader. During congestion, leaders drop transactions they can't process, they're simply lost, not queued. Landing services help your tx avoid being dropped via various tricks. direct connections to leaders (Nozomi, 0slot), stake-weighted QoS pools (Helius Sender, Triton Cascade), tip-based bundle auctions (Jito), multi-path propagation (bloXroute, Astralane). This bench measures which services actually carry the on-chain flow today."},{"q":"Why observational? Why not measure landing rate directly?","a":"Sending controlled tx through each service to measure landing rate costs real SOL (every tx = base fee + tip + compute units, all paid to validators, none recoverable). At a 30 s cadence across 8 services and 3 regions, that's ~$11,700/month. The observational approach costs $0 because we don't send anything, we watch the chain. Trade-off. observational tells you 'who is used' (market share, tip economics, growth); controlled tells you 'who lands best' (per-service success rate). Different questions, both useful. This is the observational answer."},{"q":"How is each tx attributed to a service?","a":"Each landing service publishes a list of known tip wallet addresses in its docs (Jito has 8, Nozomi has 17, etc.). When a user routes a tx through a service, the tx includes a transfer to that service's tip wallet. We watch all 72 tip wallets via `logsSubscribe(mentions=[wallet])` and attribute each notification to the owning service. Wallet sets are disjoint, no overlap between services, so attribution is unambiguous. The pattern is verified against real mainnet blocks: 95-97% of tip-paying tx attribute cleanly, zero multi-service overlaps observed."},{"q":"Why does Jito have such dominant share?","a":"Three reasons. (1) First-mover. Jito launched the tip+bundle pattern in 2022 and got every major wallet (Phantom, Backpack) + every major trading bot to integrate first. (2) Lowest tip floor, Jito accepts tips as low as 1,000 lamports versus 0.001 SOL minimums on most competitors. (3) Atomic bundles, only Jito offers the 5-tx atomic group that DEX aggregators (Jupiter, Raydium) use for sandwich-proof swaps. The result is structural: Jito carries the default flow even when competitors are technically faster on specific paths."},{"q":"Why does Nozomi look small here?","a":"Nozomi's share by tx count is small but its share by tip revenue is much larger. Nozomi targets serious traders who pay 0.001+ SOL per tx as guaranteed-inclusion insurance, while Jito averages ~0.0001 SOL per tx as casual usage. Blockworks Research's 'Solana Block Building Wars' (Feb 2026) documented Nozomi at ~$1M tips on 2M swaps vs Jito's $300k on 24M swaps, a 130x premium per swap. For 'who do serious traders use', track Nozomi. For 'who handles default flow', track Jito."},{"q":"What about Syncro Sender and Slipstream?","a":"Syncro Sender (P2P.org) uses per-customer tip wallets that aren't publicly documented, every customer gets a private address. We can't enumerate them, so Syncro flow is invisible to this bench. Estimated share: small (Syncro launched in 2025 and hasn't disclosed adoption metrics). Slipstream is a router that calls the underlying senders' SDKs, its tx land via Jito/Nozomi/0slot tip wallets and are attributed to those services. So Slipstream-originated flow shows up correctly counted, just under the underlying service's name. If you specifically want to know 'what % uses Slipstream as the router', this bench can't answer that, Slipstream itself doesn't add an identifying memo."}],"subtitle":"Share of tipped Solana transactions attributed to each landing service, counted via known on-chain tip wallets. Observational, no transactions sent.","category":"Trading","status":"live","editorialStatus":"live","metric":"Tx count (24h)","unit":"count","higherIsBetter":true,"abstract":"We attribute Solana transactions to their landing service by\nwatching the on-chain tip wallets each service documents publicly.\nA single WebSocket connection to mainnet-beta subscribes via\n`logsSubscribe(mentions=[tip_wallet], commitment=confirmed)` for\neach of ~72 tip wallets across 8 services. Every confirmed\nnotification increments a per-service counter; signatures are\ndeduplicated against a 50k-entry LRU so reconnect replays don't\ndouble-count. Failed transactions (Err != null) are excluded -\nthey didn't actually land. The headline metric is total\nlanded-and-tipped tx attributed to each service in the last 24\nhours, surfaced as a leaderboard sorted by volume. This is the\nobservational counterpart to a controlled landing-rate benchmark.\nit costs nothing to run (no tx sent, no SOL spent), provides\nmarket-share signal that the controlled approach cannot (real\nuser behaviour, not synthetic probes), and stays neutral\n(services can't fingerprint our probes, there are no probes).\nLimitations. (a) Helius Sender fans some tx to Jito under the\nhood; if Helius's own tip wallet is paid, attribution is clean,\nbut Helius's \"dual-path\" fallback to Jito-only payment would be\nmiscounted as Jito. (b) Services rotating tip wallets without\ndoc updates introduce silent under-counting until the new\naddresses are added to the harness. The harness logs every\nunattributable tip-pattern tx so the gap surfaces in operator\nmetrics.\n","methodology":["Source: `wss://api.mainnet-beta.solana.com` public WebSocket, no API key. One `logsSubscribe({mentions:[wallet]}, {commitment:confirmed})` call per known tip wallet. Server-side filtered, bandwidth scales with matched traffic, not full firehose.","Attribution: 72 tip wallets across 8 services. Jito (8), Helius Sender (10), Nozomi (17), bloXroute (17), 0slot (10), NextBlock (8), Astralane (1), SolanaVibeStation (1). Every signature carries to exactly one service because the wallet sets are disjoint.","Dedup: 50,000-entry LRU keyed by signature. Reconnects can replay a few seconds of notifications, without dedup we'd double-count attribution. Memory cost ~4 MB.","Failed tx filter: notifications with `err != null` are dropped. The bench measures LANDED tx, not submission attempts. Failed-tx flow is its own measurement and lives outside this bench.","Reconnect: WebSocket disconnects (mainnet-beta is best-effort and kicks idle / overloaded clients) trigger exponential backoff 2s → 60s cap. Every (service, subscription) is re-established on reconnect; `solana_landing_reconnects_total` surfaces stability over the day.","Blind spots. Syncro Sender (P2P.org) uses per-customer tip wallets not publicly documented, invisible. Slipstream is a router that routes through underlying senders, so its tx are attributed to the underlying service (Jito/Nozomi/etc.). Direct-RPC tx that pay only a priority fee (no tip to a landing service) are not measured, they constitute the majority of Solana volume but they're not the subject of this bench.","Excluded by design: time-to-land, success rate per service, geographic latency. Those would require sending controlled tx (active probing) which costs SOL and risks services fingerprinting our probes. This bench is purely observational."],"findings":["Jito currently carries 7.20M of attributed landed tx over the last 24 h, across 8 measured services. The current leader's position reflects default integrations: most Solana wallets and trading bots ship with one landing service preconfigured, so flow concentrates on whoever won the integration race rather than on per-tx merit.","Helius ships 592.3K. Helius Sender's strength is the dual-path fan-out (Jito + SWQoS staked connections) which gives it second-place reach without owning the volume Jito does.","Nozomi carries 64.7K. Nozomi has tiny share by volume but historically charges 10x higher tips per tx, used by serious traders who treat the higher tip as guaranteed-inclusion insurance rather than discretionary spend.","bloXroute sits at 5,541.96. bloXroute Trader API serves institutional flow with multi-path BDN propagation. Volume share is smaller than its revenue share because individual tips are higher.","SolanaVibeStation trails at 12. The long tail (NextBlock, Astralane, SolanaVibeStation, 0slot) collectively carries a few percent of attributed flow. These services compete on specific edges (regional co-location, validator stake size, tip floor) rather than universal coverage."],"source":"https://github.com/ChainBench/OpenChainBench/tree/main/harnesses/solana-tx-landing","results":[{"name":"Jito","slug":"jito","tag":"Block Engine, atomic bundles + tip auction, OG since 2022","ms":{"p50":7199410,"p90":7199410,"p99":7199410,"mean":7199410},"successRate":99.7917,"sampleSize":7199410,"query":"sum(increase(solana_landing_tx_total{service=\"jito\"}[24h]))","formula":"Total count over the last 24h of confirmed mainnet txs that paid a tip to one of Jito's 8 documented tip wallets, deduped via 50k-entry LRU.","availability":"live","meta":{"observedAt":1784679902225}},{"name":"Helius","slug":"helius-sender","tag":"Dual-path fan-out (Jito + SWQoS staked connections), 7 regions","ms":{"p50":592272,"p90":592272,"p99":592272,"mean":592272},"successRate":99.7917,"sampleSize":592272,"query":"sum(increase(solana_landing_tx_total{service=\"helius-sender\"}[24h]))","formula":"Total count over the last 24h of confirmed mainnet txs that paid a tip to one of Helius Sender's 10 documented tip wallets, deduped via 50k-entry LRU.","availability":"live","meta":{"observedAt":1784679902225}},{"name":"Nozomi","slug":"nozomi","tag":"Temporal Labs, direct-to-leader, 9 co-located regions, premium tips","ms":{"p50":64742.2,"p90":64742.2,"p99":64742.2,"mean":64742.2},"successRate":99.7917,"sampleSize":64742.2,"query":"sum(increase(solana_landing_tx_total{service=\"nozomi\"}[24h]))","formula":"Total count over the last 24h of confirmed mainnet txs that paid a tip to one of Nozomi's 17 `noz`-prefixed tip wallets, deduped via 50k-entry LRU.","availability":"live","meta":{"observedAt":1784679902225}},{"name":"bloXroute","slug":"bloxroute","tag":"Multi-path BDN propagation, institutional flow","ms":{"p50":5541.96,"p90":5541.96,"p99":5541.96,"mean":5541.96},"successRate":99.7917,"sampleSize":5541.96,"query":"sum(increase(solana_landing_tx_total{service=\"bloxroute\"}[24h]))","formula":"Total count over the last 24h of confirmed mainnet txs that paid a tip to one of bloXroute's 17 `bLx`-prefixed tip wallets, deduped via 50k-entry LRU.","availability":"live","meta":{"observedAt":1784679902225}},{"name":"0slot","slug":"0slot","tag":"Premium QUIC leader-direct sender","ms":{"p50":17709.1,"p90":17709.1,"p99":17709.1,"mean":17709.1},"successRate":99.7917,"sampleSize":17709.1,"query":"sum(increase(solana_landing_tx_total{service=\"0slot\"}[24h]))","formula":"Total count over the last 24h of confirmed mainnet txs that paid a tip to one of 0slot.trade's 10 documented tip wallets, deduped via 50k-entry LRU.","availability":"live","meta":{"observedAt":1784679902225}},{"name":"NextBlock","slug":"nextblock","tag":"SWQoS sender, TX Stream API","ms":{"p50":7745.34,"p90":7745.34,"p99":7745.34,"mean":7745.34},"successRate":99.7917,"sampleSize":7745.34,"query":"sum(increase(solana_landing_tx_total{service=\"nextblock\"}[24h]))","formula":"Total count over the last 24h of confirmed mainnet txs that paid a tip to one of NextBlock's 8 documented tip wallets, deduped via 50k-entry LRU.","availability":"live","meta":{"observedAt":1784679902225}},{"name":"Astralane","slug":"astralane","tag":"Validator co-located, leader-schedule-aware routing","ms":{"p50":24152.2,"p90":24152.2,"p99":24152.2,"mean":24152.2},"successRate":99.7917,"sampleSize":24152.2,"query":"sum(increase(solana_landing_tx_total{service=\"astralane\"}[24h]))","formula":"Total count over the last 24h of confirmed mainnet txs that paid a tip to Astralane Iris's documented tip wallet, deduped via 50k-entry LRU.","availability":"live","meta":{"observedAt":1784679902225}},{"name":"SolanaVibeStation","slug":"solanavibestation","tag":"Lightspeed validator-pool tip-based 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token buyback tracker, live executed vs promised ratio","seoTitle":"DeFi buyback tracker 2026","seoDescription":"DeFi token buyback tracker: executed vs promised ratio, verified onchain and live. Hyperliquid HYPE, Sky SKY and more protocols held accountable.","seoIntro":"This benchmark answers the question every long-term token holder\nasks but almost no one measures. when a protocol says \"we use 97%\nof our fees to buy back the token\", does that actually show up\non-chain, and over what window. The industry standard answer is\n\"yes\" plus a marketing blog post. The on-chain reality is a ratio:\nUSD value of tokens the destination wallet actually received,\ndivided by USD value the promise implies given the protocol's\nreported revenue over the same window. We compute that ratio for\ntwo of the largest live programs in DeFi. Hyperliquid's Assistance\nFund (the multisig at `0xfefe…fefe` that takes 97% of HyperCore\nfees and spot-buys HYPE on the native order book) and Sky's\nSmart Burn Engine (the `0xBE8E…98FB` SBE contract that pulls the\nMaker / Sky protocol surplus and market-buys SKY through Uniswap).\nThe promised side is reconstructed from DeFiLlama's per-protocol\nfees endpoint, scaled by the protocol's stated buyback share. The\nexecuted side is the actual ERC-20 (or native HYPE) inflow into\nthe destination wallet over the same window, priced at CoinGecko.\nThe leaderboard surfaces the live ratio over both 7-day and 30-day\nrolling windows so readers can see both the short-term execution\nrhythm (where batched programs look low) and the long-run accrual\n(where programs that actually run the trade converge near 1.0).\n","disclaimer":"Two caveats. (1) A low ratio is not a protocol failure. Some programs (Sky SBE) batch executions, so the executed_usd line is lumpy and routinely sits well below promised_usd inside a rolling window even though the long-run ratio converges to ~1. (2) The Sky leg requires an ETHERSCAN_API_KEY on the harness host. Without it the executed side returns 0 and the ratio reads 0; the live deployment has the key set.\n","faq":[{"q":"What is a token buyback execution ratio?","a":"It is the USD value of tokens that the protocol's destination buyback wallet actually received over a rolling window, divided by the USD value the protocol's published promise implies given the protocol's own fee revenue over the same window. A ratio of 1.0 means the program delivered exactly what the promise scaled to. Above 1.0 means the program executed more than the promise (rare, usually a window-edge effect or a one-off top-up). Below 1.0 means either the program is batched and the executed side is mid-cycle, or the executor address fell behind, or the documented share overstates what the program actually pays out. The benchmark reports the ratio at 7d and 30d so readers can distinguish 'mid-batch' from 'under-delivering'."},{"q":"Why is Sky's ratio so much lower than Hyperliquid's?","a":"Cadence, not generosity. Hyperliquid's Assistance Fund executes HYPE buys on HyperCore as the protocol's fee stream accrues, so the executed line is roughly continuous and a 7-day window reads close to the long-run delivery. Sky's Smart Burn Engine pulls surplus DAI from the Maker / Sky protocol and market-buys SKY through Uniswap on a batched schedule, the SBE can sit for days accumulating surplus and then concentrate the on-market buys into shorter windows, so a 7-day snapshot taken mid-accumulation shows a low ratio. The 30-day window damps the effect but does not eliminate it because the batch frequency is irregular. Long-run delivery against the 100% surplus promise tracks closer to 1.0, the rolling ratio is a cadence signal, not a delivery verdict."},{"q":"Why isn't GMX in this benchmark?","a":"GMX V2 does not run a single on-chain buyback wallet whose inflows can be audited the way Hyperliquid's Assistance Fund or Sky's SBE can. V2 fees flow to GLP / GM pool LPs (paid out in ETH and stables) and to GMX stakers via the esGMX reward distributor system. There is no executor address that aggregates 'bought back GMX' on a measurable cadence. The original GMX treasury at `0x68863dDE…dea6A` has been dormant since August 2022 (verified via Etherscan v2). Reporting a ratio for GMX with this methodology would either be zero by construction or require imputing the buyback equivalent from staker-side distributions, which is a different benchmark. v2 of this bench will add Jupiter Litterbox Trust (50% of Jupiter fees → JUP buyback on Solana) and Aave's AFC once the executor addresses are confirmed."},{"q":"How accurate is the on-chain measurement?","a":"The executed-side measurement is exact at the chain level, the SBE address holds the SKY Etherscan reports, the AF address holds the HYPE the Hyperliquid `info` API reports. Three noise sources sit on top. (1) Pricing, executed is USD-valued at scrape time, not at fill time, so a token that pumped between fill and scrape over-prices the executed side; drift is typically < 1% over a 5-minute window. (2) Promised, DeFiLlama's fees series occasionally revises historical days, and the harness recomputes the full window each scrape, so the ratio can move on prior-day revisions independent of fresh execution. (3) Pagination, the Etherscan v2 query for Sky paginates through transfers and any missing page would understate executed; `ocb_buyback_scrape_errors_total` surfaces failures."},{"q":"Where does the 97% / 100% promise share come from?","a":"Hyperliquid's 97% comes from the protocol's published fee allocation: 97% of HyperCore fees route to the Assistance Fund for HYPE buybacks, with the remainder funding HLP and other on-chain mechanisms. Sky's 100% reflects the Smart Burn Engine's design, the SBE is supposed to consume the entire Maker / Sky protocol surplus stream and convert it into on-market SKY purchases via Uniswap. Both numbers are the protocols' own published commitments; if either changes the harness config updates the share constant and the ratio rebases automatically against the new promise. The benchmark does not opine on whether 97% vs 100% is the 'right' share for a buyback program, it only measures whether the share that was promised showed up."},{"q":"How is this bench different from a simple 'tokens burned per week' chart?","a":"A burn chart shows what the destination wallet did with the tokens it received. This bench shows whether the destination wallet received what the protocol promised it would. Those are different questions and answer different concerns. A burn chart with healthy burns tells you the supply mechanic is working; a low execution ratio with healthy burns can still mean the protocol's promise is being under-funded relative to fees, just that the small amount that does arrive gets cleanly burned. The reverse is also true, a high execution ratio with no burns means the destination wallet is accumulating, which can be by design (the SBE holds SKY before burning in batches) or a warning sign (a treasury that promises buyback but never actually retires supply). The two numbers complement each other; OCB tracks the upstream one because it is the harder one to fake."},{"q":"How often does this bench update?","a":"Every 5 minutes per protocol. The numbers are gauges over rolling 7-day and 30-day windows, so sub-5-minute resolution would not surface anything new, both the DeFiLlama promised side and the destination-wallet executed side are bounded by minutes-to-hours upstream cadences. The full window is recomputed on each scrape rather than carrying a running delta, so the ratio reacts immediately to DeFiLlama historical revisions or to a freshly indexed Etherscan transfer without needing a backfill pass."}],"subtitle":"Executed USD over promised USD for live on-chain buyback programs, computed against destination-wallet inflows over rolling 7-day and 30-day windows.","category":"Trading","status":"live","editorialStatus":"live","metric":"Execution ratio","unit":"pct","higherIsBetter":true,"abstract":"We measure live token buyback execution ratio by independently\nreconstructing the two sides of the equation. Promised USD comes\nfrom DeFiLlama's protocol fees endpoint, summed over a rolling\nwindow and multiplied by the protocol's publicly stated buyback\nshare (Hyperliquid 97%, Sky SBE 100% of the surplus stream).\nExecuted USD comes from the destination wallet's actual token\ninflows over the same window, HYPE spot fills credited to the\nAssistance Fund on HyperCore for Hyperliquid, SKY ERC-20 transfers\ninto the SBE address on Ethereum mainnet for Sky, priced at the\nCoinGecko per-token spot at scrape time. The ratio\n`executed_usd / promised_usd` is the headline number. Two windows\n(7d, 30d) are tracked so readers can separate execution cadence\n(a batched program looks low on 7d, closer to long-run on 30d)\nfrom sustained delivery. GMX V2 is intentionally excluded because\nit does not run a single auditable on-market buyback wallet, fees\nflow to GLP / GM LPs in ETH and stables and to esGMX reward\ndistributors, so the on-chain footprint of \"buyback\" is structurally\nunmeasurable with the methodology used here.\n","methodology":["Promised USD, DeFiLlama `summary/fees/<protocol>` endpoint, summed over the rolling window, multiplied by the protocol's documented buyback share. Hyperliquid: `hyperliquid` slug, share 0.97 (HyperCore fees → Assistance Fund). Sky: `makerdao` slug, share 1.00 (Maker / Sky protocol surplus → SBE).","Executed USD, Hyperliquid, HYPE buys credited to the Assistance Fund multisig `0xfefefefefefefefefefefefefefefefefefefefe` on HyperCore, retrieved from the Hyperliquid `info` API user fills endpoint. Quantity is converted to USD using the on-chain oracle price returned by `metaAndAssetCtxs` because that is the price the AF actually pays at execution, not a CEX index.","Executed USD, Sky, SKY ERC-20 inflows into the SBE receiver `0xBE8E3e3618f7474F8cB1d074A26afFef007E98FB` on Ethereum mainnet, paginated through Etherscan v2 (`chainid=1`, single API key for the whole multichain unified endpoint). Quantity is decoded with the SKY contract's 18 decimals and priced at the CoinGecko `sky` spot at scrape time.","Windows, rolling 7d and 30d. The harness recomputes the full window's sums each scrape rather than maintaining a delta, so historical revisions of DeFiLlama's fees series propagate automatically and no state leaks across restarts.","Cadence, 5 minutes per protocol. The numbers are gauges, not counters; sub-5-minute resolution is meaningless because both promised and executed sides are bounded by minutes-to-hours-grain upstream data (DeFiLlama daily aggregation, on-chain block time).","Excluded, GMX. V2 does not run a single on-market buyback wallet whose inflows we can audit. Fees flow to GLP / GM pool LPs in ETH and stables and to GMX stakers via esGMX reward distributors. The original treasury `0x68863dDE…dea6A` has been dormant since 2022-08 (verified via Etherscan v2), so there is no executor address that would let an audit of this shape resolve. v2 of this bench will add Jupiter Litterbox Trust (50% fees → JUP buyback on Solana) and Aave AFC as cleaner replacements.","Pricing, CoinGecko free tier (`hyperliquid`, `sky`) for the executed-side USD valuation. For Hyperliquid the on-chain oracle from `metaAndAssetCtxs` is preferred when available because that is the AF's actual fill reference, not a delayed third-party median. Aggregator drift between CoinGecko and the on-chain oracle is typically < 50 bps and is dwarfed by the ratio's own measurement scale.","Honesty boundary, the ratio measures execution against a documented promise. It does not measure whether the promise itself is generous or stingy, whether the bought-back token is held vs burned vs redistributed, or whether the buy was timed adversarially. Those are separate benchmarks that this one explicitly does not try to answer."],"findings":["Hyperliquid currently leads at 94.8% (execution ratio, 7d) across 1 measured buyback programs. The ratio is the USD value of tokens actually credited to the destination wallet over the window, divided by the USD value the published promise implies given DeFiLlama's reported fee revenue over the same window.","Hyperliquid returns 94.8% (execution ratio, 7d). The Assistance Fund executes HYPE spot buys on HyperCore on a near-continuous cadence as HyperCore fees accrue, so the 7-day window stays close to the long-run delivery. Persistent gap from 1.0 reflects timing between fee accrual and AF execution plus a small CoinGecko-vs-oracle pricing drift on the executed side.","{{name:sky}} sits at {{p50:sky}} (execution ratio, 7d). This is not under-delivery, the Smart Burn Engine pulls surplus and market-buys SKY via Uniswap on a batched schedule, so the executed line is lumpy by design. The SBE often spends most of a 7d window accumulating surplus inside Maker and concentrates buys into shorter windows, so the rolling ratio reads low even when long-run accrual converges closer to 1.0.","The 7d vs 30d split is where this bench earns its keep. A program that delivers on long-run promises but executes lumpily (Sky) shows a 7d well below 30d; a program that executes near-continuously (Hyperliquid) shows the two windows close to each other. Comparing the two columns is the cheapest tell for which protocol runs the trade on a tick basis vs which one batches.","GMX is absent by design. The V2 design does not pay fees into a single on-market buyback wallet, they flow to GLP / GM pool LPs in ETH and stables and to GMX stakers via esGMX reward distributors. An audit of `executed_usd / promised_usd` shape would have nothing on-chain to point at, so reporting a number would be dishonest. v2 of this bench will add Jupiter Litterbox Trust and Aave AFC."],"source":"https://github.com/ChainBench/OpenChainBench/tree/main/harnesses/buyback-audit","results":[{"name":"Hyperliquid","slug":"hyperliquid","tag":"Assistance Fund, 97% fees → HYPE spot buyback","ms":{"p50":94.8492,"p90":94.8492,"p99":94.8492,"mean":94.8492},"successRate":100,"sampleSize":7868860,"query":"100 * ocb_buyback_ratio{protocol=\"hyperliquid\",window=\"7d\"}","formula":"USD value of HYPE spot fills credited to the Assistance Fund 0xfefe…fefe over the rolling 7d window, divided by 97% of DeFiLlama's hyperliquid fees for the same window.","availability":"live","meta":{"observedAt":1784679867111}},{"name":"Sky (Maker)","slug":"sky","tag":"Smart Burn Engine, 100% surplus → SKY via Uniswap","ms":{"p50":0,"p90":0,"p99":0,"mean":0},"successRate":100,"sampleSize":0,"query":"100 * ocb_buyback_ratio{protocol=\"sky\",window=\"7d\"}","formula":"USD value of SKY ERC-20 inflows to the SBE 0xBE8E…98FB over 7d (Etherscan v2, priced at CoinGecko), divided by 100% of DeFiLlama's makerdao fees for the same window.","availability":"live","meta":{"observedAt":1784679867111}}],"extras":{"series24h":{"hyperliquid":[1.01715,0.96758,0.967935,0.972311,0.951409,0.95147,0.966129,0.976091,0.970259,0.968384,0.974739,0.966115,1.15681,0.975904,0.982339,0.982158,0.988629,0.99678,1.00612,1.00259,1.0045,1.0185,1.00184,1.00991,1.01722,1.01193,1.01062,1.01351,1.01693,1.01998,1.02178,1.02062,0.995647,0.992844,0.991418,0.993938,0.995473,0.996976,0.984253,0.992784,0.997,0.989561,0.995477,0.996689,0.994503,0.993698,0.996447,0.995245,0.994132,0.996078,0.993015,0.994374,0.986361,0.976248,0.972931,0.984704,0.982091,0.981227,0.970632,0.977685,0.986186,0.98271,0.978416,0.980998,0.989658,0.997948,1.00286,1.00348,0.974022,0.953531,0.960323,0.956033,0.948492],"sky":[0.0849742,0.0827521,0,0.0838674,0.0838109,0.0853092,0,0.0842275,0,0.0831448,0.0857614,0,0.0865749,0.085757,0.0824521,0.0848174,0.0833315,0,0,0,0,0,0,0,0,0,0,0,0,0.0780979,0,0,0,0.0813514,0,0,0.0788494,0,0,0,0,0,0.0809312,0,0,0.081287,0.0806779,0,0,0,0,0.0821507,0,0.0826181,0.0818381,0,0,0.0795043,0,0,0,0,0.0812232,0,0,0,0,0,0,0,0.0825203,0,0]},"series7d":{"hyperliquid":[1.01715,0.972296,0.969639,0.964267,0.967003,0.947229,0.95147,0.966129,0.971282,0.968537,0.97288,0.973698,0.973282,1.16947,1.15681,0.974675,0.978713,0.982429,0.981798,0.983087,0.996158,1.00612,1.00127,1.00222,1.01225,1.20902,1.00115,1.0126,1.01722,1.01174,1.01086,1.00718,1.01697,1.01988,1.02024,1.02178,1.02277,0.994898,0.994408,0.993778,0.991418,0.992758,0.995473,0.996976,0.985363,0.982662,0.993554,0.995658,0.986813,0.995477,0.998394,0.99689,0.994486,0.995405,0,0.997632,0.994132,0.995419,0.994968,0.991167,0.994431,0.986883,0.976684,0.972931,0.983163,0.981628,0.987295,0.977728,0.966528,0.972352,0.986186,0.985503,0.977252,0.98696,0.986006,0.98936,0.999057,1.00286,1.00095,0.972876,0.955229,0.957024,0.962698,0.95507,0.948492],"sky":[0.0849742,0.082553,0.0847209,0.082317,0,0,0.0856515,0,0,0,0.0848011,0.0852598,0.0857205,0,0.0865749,0.0859444,0.0843259,0.0850044,0.0851102,0.081992,0,0,0,0,0,0,0,0,0,0,0.0784796,0,0,0,0,0,0,0.0796115,0,0,0.08019,0.079254,0.0788494,0,0,0,0,0.081482,0,0.0809312,0,0.079556,0,0,0.0805625,0,0,0,0.0817933,0,0,0.0823326,0,0.0818381,0,0.0810329,0,0.0809044,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.0846424,0]},"series30d":{"hyperliquid":[0.909759,0.901064,0.90196,0,0.889183,0.889954,0.882083,0.92081,0.968198,1.02055,1.0628,0.989307,0.982322,0.98835,0.981125,0.984436,0.978931,0.951248,0.958666,1.01128,0.994627,1.01115,0.948296,0.923299,0.888974,0.964541,0.981046,0.963307,0.958112,0.971004,0.978823,0.952956,0.960427,0.976867,0.920407,0.96383,0.910331,0.97664,0.974099,0.974099,0.945092,0.969699,0.956127,0.995701,0.96716,0.991616,1.01715,0.95147,0.973282,0.981798,1.01225,1.01086,1.02277,0.995473,0.986813,0,0.994431,0.987295,0.977252,1.00095,0.948492],"sky":[0.0948301,0.0933215,0.0911977,0.0862677,0.0859729,0,0.0839293,0.0827188,0.0806665,0.0794424,0.0773301,0.0753523,0.0793948,0.0792908,0.079594,0.0825682,0.0862324,0.0883491,0.0858376,0.0836058,0.0857478,0.0883543,0.0958752,0.0941744,0.0923957,0.0891001,0.0834862,0.0822295,0.0859847,0.0850763,0.0849867,0.0844061,0.0813242,0.0810982,0.0814786,0.0835126,0.0844416,0.0876631,0.0897684,0.0897684,0.087898,0,0.0869691,0,0,0.0839325,0.0849742,0.0856515,0.0857205,0.0851102,0,0.0784796,0,0.0788494,0,0.0805625,0,0,0,0,0]},"regions":{}},"sampleSize":7868860,"lastRunAt":"2026-07-22T00:24:18.557Z","dataAsOf":1784679867111},{"slug":"oracle-deviation","number":"025","title":"Chainlink vs Pyth vs Binance vs Coinbase, live oracle deviation","seoTitle":"Chainlink vs Pyth oracle deviation 2026","seoDescription":"Chainlink, Pyth, Binance, Coinbase oracle deviation ranked live on BTC, ETH, SOL, BNB, XRP, ADA, DOGE, AVAX, LINK, POL. Max pairwise bps, p99 over 24h.","seoIntro":"This benchmark answers the question every protocol designer\npicking an oracle asks. how aligned are the major price feeds in\nreality, not in marketing, on the exact pair I'm settling at this\nexact second. Most \"oracle comparison\" articles cite vendor\nwhitepapers (\"99.9% accurate\", \"sub-second latency\") without\npublishing the diff. We poll four oracles every 30 seconds for ten\nUSD-quoted blue chips, compute the pairwise deviation\n`|a-b|/avg * 100` for every source pair, and publish the per-asset\nmaximum as a Prometheus gauge in basis points. Coverage. Chainlink\nAggregatorV3 (eth_call against the canonical Ethereum mainnet\ncontracts), Pyth Hermes REST (batched latest_price_feeds), Binance\nREST ticker (USDT-quoted, treated as ≈ USD), Coinbase REST ticker\n(USD-quoted). Pairs. BTC, ETH, SOL, BNB, AVAX, LINK, POL (4\noracles each) and XRP, ADA, DOGE (3 oracles, Chainlink mainnet\nfeeds for these pairs are deprecated, documented per provider).\nHonest about the SOL case. SOL/USD currently shows the widest\ndisagreement (~1.2% live) not because the bench is broken but\nbecause the Chainlink on-chain SOL/USD feed is updated on a 0.5%\ndeviation trigger that frequently lags the CEX/Pyth quote during\nfast moves, exactly the kind of oracle-health signal a protocol\nteam needs to see before settling perp liquidations on it.\n","disclaimer":"Three caveats. (1) Lower is better, but a non-zero floor (~5-20 bps) is normal, ticker last-traded prices have micro-jitter and Chainlink updates only on deviation/heartbeat. (2) XRP, ADA, DOGE measured on 3 sources because Chainlink deprecated those USD feeds on Ethereum mainnet, tag flags it. (3) POL/USD is the post-migration symbol for MATIC; we point at POLUSDT (not the frozen legacy MATICUSDT).\n","faq":[{"q":"What is oracle deviation and why does it matter?","a":"Oracle deviation is the basis-point gap between two oracles' reported price for the same asset at the same moment. It matters because every on-chain product that settles in fiat (perp DEXes, lending markets, derivatives, stablecoin issuers) picks one oracle and inherits its drift. If your lending market uses Chainlink ETH/USD and Chainlink lags the CEX print by 30 bps during a fast move, every liquidation triggered in that window over- or under-pays the keeper by 30 bps, which is the difference between a healthy liquidation engine and a bad-debt spiral. The bench measures this gap live so you can size the risk before you ship the integration."},{"q":"Why is SOL deviation so much higher than BTC?","a":"Two reasons, both structural and both informative. (1) Chainlink's SOL/USD mainnet feed is configured with a 0.5% deviation trigger and a 1-hour heartbeat, so during fast SOL moves the on-chain price legitimately lags the live CEX print until the trigger fires. (2) SOL is more volatile per unit time than BTC/ETH, so even within the trigger window there's more price travel between updates. The companion gauge `ocb_oracle_last_round_age_seconds{pair=\"SOL/USD\"}` regularly shows ages in the multiple thousands of seconds (vs ~1000-1500 s for ETH/BTC/AVAX/LINK), which is the on-chain confirmation that the deviation is Chainlink lag, not a CEX outlier. The bench surfaces this honestly, it's exactly the signal a protocol team needs to see before settling SOL perps off a single oracle."},{"q":"What does 'Chainlink lag' mean in practice, does the oracle break?","a":"Chainlink doesn't break, but it intentionally doesn't push every tick. On-chain updates cost gas; Chainlink node operators only post a new round when either (a) the off-chain aggregated price has drifted by a configured threshold from the last on-chain value (the 'deviation trigger', typically 0.25-0.5% for blue chips, 1% for long-tail) or (b) the configured heartbeat interval has elapsed since the last update (typically 1 h for blue chips, longer for stale-tolerant assets). Between updates, the on-chain value is whatever was last pushed, so during a fast move the on-chain price can lag the off-chain market by 1× the deviation threshold for as long as it takes the next round to land. That's by design: it trades latency for gas cost. The bench's `ocb_oracle_last_round_age_seconds` gauge surfaces the gap directly so the lag is never invisible."},{"q":"Why are XRP, ADA and DOGE measured on only 3 sources?","a":"The Chainlink mainnet AggregatorV3 contracts for XRP/USD, ADA/USD and DOGE/USD are deprecated, node operators no longer post fresh rounds to them, so the on-chain `updatedAt` is days or weeks stale. Rather than averaging in a fossilized value (which would either falsely deflate the deviation by anchoring it to an outdated number or falsely inflate it once the live market moves away), the bench excludes Chainlink from the deviation matrix for these three pairs and computes the disagreement across Pyth + Binance + Coinbase only. The provider tag for each of these pairs flags '3 sources' explicitly. Protocols settling XRP, ADA or DOGE on Ethereum mainnet through Chainlink should confirm the feed's status directly, these are tier-2 assets on Chainlink's Ethereum L1 deployment and the production feeds for them live on other chains (BSC, Solana for ADA/DOGE)."},{"q":"MATIC vs POL, what changed and which one is this bench measuring?","a":"Polygon migrated its native token from MATIC to POL on September 4 2024, 1:1. POL is the new token; MATIC is the legacy ticker. The four oracles handled it differently: Pyth renamed the feed to POL/USD; Coinbase delisted MATIC-USD and lists only POL-USD; Binance kept MATICUSDT as a frozen historical pair (don't use it, it detaches from spot) AND lists POLUSDT; Chainlink left the mainnet feed contract at its old address with the legacy `description()` of 'MATIC / USD' but it tracks the POL token. The bench resolves all four to POL and keeps the label `pair=\"MATIC/USD\"` for query continuity. The reported price is POL/USD and all four sources agree on the same underlying asset."},{"q":"Why these four oracles and not Redstone, Uniswap TWAP or DIA?","a":"Two filters: 'free no-auth public endpoint' and 'continuous gauge'. Chainlink, Pyth Hermes, Binance and Coinbase all expose continuously-updating price feeds via REST or eth_call with no API key, which lets the bench scrape them at 30 s cadence indefinitely at zero cost. Redstone is push-pull/on-demand, the on-chain price is only refreshed when a transaction includes the signed off-chain quote in calldata, so there is no continuous gauge to scrape without deploying an integration contract that pulls on a timer. Uniswap V3 TWAP is a derivation of the same CEX prints we already poll directly, plus it needs per-pool integration code. DIA has smaller deployment footprint than the four kept. We may add Redstone and a pure-on-chain reference (TWAP) in a follow-up bench that runs on-chain itself; for the off-chain comparison this is the honest set."},{"q":"How often is each oracle polled and why 30 s?","a":"Every (source, pair) is polled every 30 seconds. The cadence is bounded below by Chainlink's update mechanics, the on-chain feed only refreshes on deviation or heartbeat, so polling faster than the feed updates returns the same value and wastes RPC calls. 30 s is fast enough to catch every Chainlink round within ~half a heartbeat of its on-chain landing while keeping total request volume at 80 req/min across all 4 sources × 10 pairs (well under every free-tier ceiling). Pyth Hermes, Binance and Coinbase tickers refresh continuously so 30 s polling captures them at full freshness."}],"subtitle":"Maximum pairwise price disagreement in basis points across Chainlink, Pyth, Binance and Coinbase, polled every 30 seconds on 10 USD pairs.","category":"Trading","status":"live","editorialStatus":"live","metric":"Max cross-oracle deviation","unit":"bps","higherIsBetter":false,"abstract":"We measure live oracle disagreement by polling four price oracles\nevery 30 seconds for ten USD-quoted blue chips, then computing the\nfull pairwise deviation matrix per pair. Deviation between two\nsources is `|price_a - price_b| / ((price_a + price_b) / 2) * 100`\nin percent; the bench surfaces it both per source-pair\n(`ocb_oracle_deviation_pct{source_a, source_b}`) and as the per-pair\nmaximum across all source pairs (`ocb_oracle_max_deviation_pct`).\nThe headline leaderboard ranks the 10 pairs by p99 of the max\ndeviation over 24 h (lower = better cross-oracle alignment, i.e.\nmore agreement on what the asset actually trades at). A stale-price\nguard skips any sample older than `2 * pollInterval` (60 s) so a\ndead poller doesn't artificially flatten the deviation. Three pairs\n(XRP, ADA, DOGE) are measured on 3 sources only because Chainlink\ndeprecated those USD feed contracts on Ethereum mainnet; the bench\nexposes them honestly with the disclaimer in the provider tag and\nstill computes the deviation across the remaining trio. The\n`ocb_oracle_last_round_age_seconds{source=\"chainlink\"}` companion\ngauge surfaces Chainlink's on-chain update gap separately, so a\nhigh deviation can be attributed to the right cause (a lagging\nfeed vs. a CEX outlier) without confusing the reader.\n","methodology":["Sources. Chainlink AggregatorV3 via `eth_call(latestRoundData())` on Ethereum mainnet (no API key, public RPC with fallback), Pyth Network via Hermes REST `/api/latest_price_feeds` batch endpoint (no key), Binance REST `/api/v3/ticker/price` on USDT-quoted symbols (treated as ≈ USD), Coinbase REST `/products/<P>/ticker` on USD-quoted products. All four are free, no-auth, public endpoints.","Pairs (10). BTC, ETH, SOL, BNB, AVAX, LINK and POL are tracked on all 4 sources. XRP, ADA, DOGE are tracked on 3 sources (Pyth + Binance + Coinbase) because the Chainlink mainnet AggregatorV3 contracts for these USD feeds are deprecated and no longer updated by node operators, the provider tag flags it.","Cadence. 30 second polling interval per (source, pair). 4 sources × 10 pairs × 2/minute = 80 requests/minute total, comfortably under every free-tier ceiling (Binance 1200/min, Coinbase 10/s public, Pyth ~30/s soft, public RPC courteous). HTTP timeout is 8 s per request to match the gas-estimation harness.","Deviation formula. For every unordered pair of sources `(a, b)` that both have a fresh sample for the same pair: `deviation_pct = |price_a - price_b| / ((price_a + price_b) / 2) * 100`. With 4 sources we compute 6 pairwise deviations per asset; with 3 sources we compute 3. Per-pair headline is the max across all source-pairs (`ocb_oracle_max_deviation_pct`).","Stale-price guard. A source's sample is considered stale and excluded from the deviation calculation if its last successful update is older than `2 * pollInterval` (60 s). Prevents a dead Coinbase ticker from registering as a 0% deviation against itself by leaving the price gauge fossilized.","Chainlink round age. The on-chain `updatedAt` timestamp from `latestRoundData()` is published separately as `ocb_oracle_last_round_age_seconds{source=\"chainlink\", pair}`. Chainlink updates only on deviation (typically 0.25-0.5% for blue chips) or heartbeat (~1 h), so a 30-minute age on a quiet ETH minute is normal; a 2-hour age on SOL during a volatile minute is the actual signal.","USDT ≈ USD assumption. Binance only quotes USDT pairs (BTCUSDT, etc.). We treat USDT as ≈ USD ± 10 bps drift, which is acceptable for a bench whose alert floor is ≥ 10 bps. A real USDT depeg would surface as Binance drifting from the other three sources for *every* pair simultaneously, exactly what we want this bench to flag, not hide.","MATIC → POL migration. Polygon migrated MATIC → POL 1:1 on Sep 4 2024. The Chainlink mainnet feed contract is still named MATIC/USD but on-chain `description()` confirms it tracks the POL token; Pyth renamed the feed to POL/USD; Coinbase delisted MATIC-USD and only lists POL-USD; Binance kept MATICUSDT as a frozen historical pair AND lists POLUSDT. We point Binance at POLUSDT so all four sources track the same underlying asset. Bench label is kept as `pair=\"MATIC/USD\"` for query continuity.","Time-aligned deviation (canonical headline). For every source pair we anchor on the more recent SourceTS (Chainlink's on-chain `updatedAt`, fetch time for continuous sources) and look up the older source's price in a 30-minute rolling history at that moment. Published as `ocb_oracle_deviation_at_oracle_ts_pct`, feeding `ocb_oracle_max_deviation_pct`. Removes Chainlink heartbeat-lag inflating deviation; alignment misses count as `ocb_oracle_alignment_miss_total`.","Excluded by design. Redstone (push-pull, no continuous gauge to scrape without integration contract), Uniswap V3 TWAP (per-pool integration + derivation of same CEX prints), DIA (smaller footprint than the four kept), and aggregator-of-aggregators (CoinGecko, CMC, DefiLlama), re-aggregating already-aggregated data adds latency and hides per-source disagreement."],"findings":["LINK/USD currently leads at 0.044% (p99 max cross-oracle deviation, 24 h) across 10 measured pairs. The leaderboard ranks by how tightly the available sources agree on the asset's price, lower = better, so the leader is the asset for which every source you might integrate would settle within fractions of a basis point of every other.","BTC/USD clocks 0.066% on 4 sources. BTC's deep liquidity on every CEX plus the most-watched Chainlink feed on mainnet (heartbeats updated within minutes by competing node operators) means the 4-way disagreement is structurally near the floor; if you can't get oracle agreement on BTC, you have a poller bug, not a market signal.","SOL/USD runs wider at 0.068% on 4 sources. This is a real signal, not a bench bug. Chainlink SOL/USD updates only on 0.5% deviation or 1h heartbeat while Pyth/Binance/Coinbase publish continuously, during fast SOL moves the on-chain Chainlink price lags the CEX print by minutes (`ocb_oracle_last_round_age_seconds` often shows multi-thousand-second ages vs ~1000-1500s for blue chips). Any perp DEX settling SOL liquidations off Chainlink alone inherits this as trader slippage.","XRP, ADA and DOGE are measured on 3 sources, not 4, the Chainlink mainnet AggregatorV3 contracts for these USD pairs are deprecated and no longer updated by node operators, so the bench drops them from the deviation matrix rather than averaging in stale data. The 3-source deviation is honest (Pyth + Binance + Coinbase, all live), and the provider tag flags the asymmetry. Protocols settling these assets on Chainlink mainnet should confirm directly with the contract's `updatedAt`.","POL/USD sits at 0.082%, the post-migration POL token. The Chainlink mainnet contract still answers to the legacy MATIC/USD name but on-chain `description()` confirms it tracks POL 1:1 (verified against Pyth's renamed POL/USD feed and Coinbase's POL-USD product). If you're building on Polygon and integrating the legacy contract address, you're already on POL, no migration needed.","POL/USD trails at 0.082% on the active filter. The gap between leader and laggard is dominated by two factors: how fast the asset moves (volatile minutes widen the deviation regardless of oracle quality) and how aggressive each oracle's update trigger is (Chainlink's deviation threshold is the binding constraint on most pairs; Pyth/Binance/Coinbase are within bps of each other most of the time)."],"source":"https://github.com/ChainBench/OpenChainBench/tree/main/harnesses/oracle-deviation","results":[{"name":"BTC/USD","slug":"btc-usd","tag":"Bitcoin spot · 4 sources","ms":{"p50":6.63078,"p90":7.90387,"p99":9.56791,"mean":6.59994},"successRate":99.9392,"sampleSize":23040,"query":"quantile_over_time(0.50, ocb_oracle_max_deviation_pct{pair=\"BTC/USD\"}[24h]) * 100","formula":"Median of the max pairwise BTC/USD price disagreement (in bps) across Chainlink, Pyth, Binance and Coinbase, polled every 30s, p50 over 24h.","availability":"live","meta":{"observedAt":1784679886156}},{"name":"ETH/USD","slug":"eth-usd","tag":"Ether spot · 4 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4 sources","ms":{"p50":6.81074,"p90":8.85358,"p99":11.2487,"mean":6.93417},"successRate":99.9653,"sampleSize":23040,"query":"quantile_over_time(0.50, ocb_oracle_max_deviation_pct{pair=\"BNB/USD\"}[24h]) * 100","formula":"Median of the max pairwise BNB/USD price disagreement (in bps) across Chainlink, Pyth, Binance and Coinbase, polled every 30s, p50 over 24h.","availability":"live","meta":{"observedAt":1784679886156}},{"name":"AVAX/USD","slug":"avax-usd","tag":"Avalanche spot · 4 sources","ms":{"p50":7.32478,"p90":13.5534,"p99":20.006,"mean":7.56956},"successRate":99.9653,"sampleSize":23040,"query":"quantile_over_time(0.50, ocb_oracle_max_deviation_pct{pair=\"AVAX/USD\"}[24h]) * 100","formula":"Median of the max pairwise AVAX/USD price disagreement (in bps) across Chainlink, Pyth, Binance and Coinbase, polled every 30s, p50 over 24h.","availability":"live","meta":{"observedAt":1784679886156}},{"name":"LINK/USD","slug":"link-usd","tag":"Chainlink token spot · 4 sources","ms":{"p50":4.36793,"p90":9.24962,"p99":12.6328,"mean":4.63167},"successRate":99.9653,"sampleSize":23040,"query":"quantile_over_time(0.50, ocb_oracle_max_deviation_pct{pair=\"LINK/USD\"}[24h]) * 100","formula":"Median of the max pairwise LINK/USD price disagreement (in bps) across Chainlink, Pyth, Binance and Coinbase, polled every 30s, p50 over 24h.","availability":"live","meta":{"observedAt":1784679886156}},{"name":"POL/USD","slug":"matic-usd","tag":"POL spot · 4 sources (legacy MATIC feed)","ms":{"p50":8.23502,"p90":17.4194,"p99":26.9696,"mean":9.27963},"successRate":99.9653,"sampleSize":23040,"query":"quantile_over_time(0.50, ocb_oracle_max_deviation_pct{pair=\"MATIC/USD\"}[24h]) * 100","formula":"Median of the max pairwise POL/USD price disagreement (in bps) across Chainlink's legacy MATIC feed, Pyth, Binance and Coinbase (all pointed at POL post-migration), p50 over 24h.","availability":"live","meta":{"observedAt":1784679886156}},{"name":"XRP/USD","slug":"xrp-usd","tag":"Ripple spot · 3 sources (no CL mainnet)","ms":{"p50":6.66174,"p90":8.34937,"p99":10.9849,"mean":6.67442},"successRate":99.9537,"sampleSize":17280,"query":"quantile_over_time(0.50, ocb_oracle_max_deviation_pct{pair=\"XRP/USD\"}[24h]) * 100","formula":"Median of the max pairwise XRP/USD price disagreement (in bps) across Pyth, Binance and Coinbase only (Chainlink mainnet feed deprecated), p50 over 24h.","availability":"live","meta":{"observedAt":1784679886156}},{"name":"ADA/USD","slug":"ada-usd","tag":"Cardano spot · 3 sources (no CL mainnet)","ms":{"p50":7.19062,"p90":11.554,"p99":17.326,"mean":7.68979},"successRate":99.9537,"sampleSize":17280,"query":"quantile_over_time(0.50, ocb_oracle_max_deviation_pct{pair=\"ADA/USD\"}[24h]) * 100","formula":"Median of the max pairwise ADA/USD price disagreement (in bps) across Pyth, Binance and Coinbase only (Chainlink mainnet feed 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staking yield, live validator net APR across Solana, Hyperliquid and Ethereum","seoTitle":"Highest staking yield 2026: SOL vs HYPE vs ETH","seoDescription":"Highest staking yield ranked live by net validator APR. Solana top 200 (Stakewiz total APY, MEV in), Hyperliquid active set, Ethereum consensus-layer solo validator APR (spec formula, MEV excluded). Uptime + commission + stake.","seoIntro":"This benchmark answers the question every staker asks when\nchoosing a chain or a validator. what is the live net yield I\nwould actually earn today, after commission, after downtime,\nincluding MEV where the chain has it. Marketing pages quote\n\"up to 7% APY\" without specifying validator, uptime\nassumption, or whether MEV tips are folded in. This page\nmeasures the reality on-chain across three yield surfaces with\nfundamentally different economics: Solana's competitive,\n~3000-validator, MEV-heavy stake market (top 200 tracked by\nactivated stake), Hyperliquid's permissioned, ~30-validator,\nno-MEV centralised-sequencer model, and Ethereum's ~1M-validator\nbeacon chain, published as a single network-average\nconsensus-layer solo validator figure with execution tips and\nMEV excluded. The headline number per\nchain is the median net yield in basis points, where 1% APY =\n100 bps. Per-validator gauges expose gross APR, commission,\nuptime, MEV share and dollar stake so the reader can drill from\n\"Solana median 5.6%\" down to \"Helius at 6.0%, Figment at 5.4%,\nthese 42 validators at 0% because their commission is set to\n100% or they have no leader slots this epoch.\"\n","disclaimer":"Honest scope. (1) `net_yield = gross_apr × uptime`. NOT \"yield net of MEV\", Stakewiz `total_apy` already folds Jito MEV into gross, MEV is INCLUDED. `mev_share_bps` exists for transparency, not subtraction. (2) Solana median is dragged by ~42 vals at 0% APY (commission 100% or zero leader slots). (3) Hyperliquid: centralised sequencer, no separate MEV layer, ~30 vals only. (4) Ethereum: one network-average consensus-layer APR from the beacon spec formula, execution tips and MEV excluded.\n","faq":[{"q":"What is validator net yield?","a":"Net yield is the actual APR a staker earns on a given validator, computed as `gross_apr × uptime_fraction`. Gross APR is what the chain's reward formula would pay if the validator never missed a slot; uptime is the fraction of slots the validator actually voted/produced in the measurement window. For Solana the bench uses Stakewiz's `total_apy` for gross (which already includes Jito MEV tips), multiplied by the validator's reported uptime. For Hyperliquid it uses `predictedApr.day` × `stats[day].uptimeFraction` from `/info validatorSummaries`. The unit is basis points (1% = 100 bps) to stay consistent with the rest of OpenChainBench."},{"q":"Why does Solana's median look lower than the typical 6-7% I see quoted elsewhere?","a":"Two reasons. (1) ~42 of the top 200 tracked Solana validators are currently emitting 0% APY, some have commission set to 100% (operator takes everything, delegator gets 0), others have zero leader slots in the current epoch (no block-production rewards earned during the measurement window). These are legitimate, transient states that count toward the chain's median by definition. (2) Average validator commission on the tracked set is ~24%, which already eats into the headline 'staking APY' number quoted by chain marketing. If you want 'yield I'd get if I picked a sane validator', look at the per-validator gauges or wait for the leaderboard to expose p75+, those numbers cluster around 5.9-6.0% net."},{"q":"Why is Hyperliquid lower than Solana?","a":"Yes, the direction is what it looks like: Solana ~5.6% > Hyperliquid ~2.2%. Three reasons. (1) Hyperliquid pays staking rewards in HYPE only, there is no inflation analogue to Solana's ~5% protocol issuance. (2) No MEV layer exists at the validator level (the centralised sequencer captures order-flow value at protocol level, not validator level), so there's no MEV-tip surcharge to add. (3) The reward pool is split across ~30 validators evenly when active, so per-validator APR is structurally flat, top operators all sit at ~225 bps with very tight spread. A staker chooses a Hyperliquid validator on uptime / jail risk / governance alignment, not on yield differentiation."},{"q":"How is MEV treated in this benchmark?","a":"MEV is INCLUDED in the gross APR figure, not subtracted from it. For Solana, Stakewiz's `total_apy` already folds Jito MEV tips into the headline APR by design, this bench inherits that aggregation rather than re-computing. The `ocb_validator_mev_share_bps` gauge is exposed separately for transparency (so you can see e.g. 'Helius's 600 bps APR is 80 bps MEV + 520 bps staking') but it does NOT get subtracted to produce a 'staking-only' number. For Hyperliquid, no separate MEV layer exists at validator level (the centralised sequencer captures value upstream), so the MEV gauge is reported as 0 by convention. This is the same `net_yield` definition every staking dashboard uses, Stakewiz, Solana Beach, Hyperliquid Stats, etc."},{"q":"Why are some Solana validators at 0% APY?","a":"Two legitimate causes, both visible in the live data. (1) Commission set to 100%: the validator operator has configured their vote account to route 100% of staking rewards to themselves, so delegators receive 0%. This is common for operators running their own treasury stake (Binance, exchange custody, etc.) where 'delegators' is a fiction, there's only the operator's own SOL. (2) Zero leader slots in the current epoch: Solana's leader schedule is stake-weighted but randomised per epoch, so a small validator can statistically draw zero slots in a given ~2-day epoch and earn zero block-production rewards. Both states are transient: commission can be lowered, leader slots cycle every epoch. The bench surfaces them as 0 rather than filtering because they ARE part of the live validator set."},{"q":"What does the Ethereum number measure?","a":"It is the network-average consensus-layer APR for a 32 ETH solo validator, computed from the beacon chain spec reward formula on the live total effective balance published by ultrasound.money. It covers attestation, proposer and sync committee rewards in expectation, at 100% participation (realized participation runs about 99.5%, a drift of under 2 bps). It EXCLUDES execution-layer tips and MEV, so a proposer running MEV-Boost earns more in practice. It is NOT a liquid staking APY: Lido or Coinbase quotes are product rates with their own fee schedules netted out. Ethereum ships as one aggregate series rather than per-validator gauges because the active set is about 1M validator indices and consensus rewards are uniform per 32 ETH increment, so the network average equals the solo validator nominal APR. Per-validator Ethereum gauges and MEV inclusion require beacon-node or relay ingestion and stay on the v2 roadmap."},{"q":"Where can I find reliable Solana validator APY data?","a":"The two sources this bench treats as canonical, both free and key-less. Stakewiz (`api.stakewiz.com`) is a community-maintained Solana validator analytics service that ingests on-chain vote-account state, commission history, leader schedule and reward distribution, then publishes a clean `/validators` JSON with `total_apy` already computed as a 30-epoch trailing estimate. Jito Kobe (`kobe.mainnet.jito.network`) is Jito Labs' public API exposing per-validator MEV-tip earnings broken down by epoch. Most Solana staking dashboards (Solana Beach, Marinade UI, etc.) consume one or both, so numbers quoted across sites usually trace back to the same upstream; this bench polls them directly every 5 minutes and republishes the per-validator gauges."},{"q":"How many Solana validators are there, and which ones matter for staking?","a":"The full active set is ~3000 validators, but stake concentrates hard: the top 200 by activated stake hold ~90% of staked SOL by USD value, which is why this bench tracks exactly that cohort (also a Prometheus cardinality budget: ~1.6k series for 200 validators vs ~21k for the full set). For a delegator the practical universe is smaller still, the long tail of <1k-SOL validators has negligible delegate base and statistically draws few leader slots per epoch. The chain median shown here reflects where real delegated stake sits; the cap is a knob that lifts to 500 or 1000 if Prom capacity grows."},{"q":"What is the best place to stake SOL right now?","a":"By delegated stake, the largest Solana validators tracked here are Figment, Helius, Binance Staking, Jupiter and Ledger by Figment, and their net yields cluster around the chain's modal ~6% rather than the median 5.32% (which is dragged by validators currently at 0% APY). This bench is neutral: it ranks measured net yield (`gross APR × uptime`, MEV included), takes no commercial placement, and does not rank custodians or liquid staking products. Pick on the per-validator gauges: sane commission (not 100%), sustained uptime, and enough stake to draw leader slots, then note that yields among healthy validators differ by tens of bps, so decentralization is a defensible tiebreaker."}],"subtitle":"Median validator net yield (APR multiplied by uptime) in basis points, compared across chains. Solana top 200 by stake, all active Hyperliquid validators, Ethereum as one network-average consensus-layer solo validator figure.","category":"Blockchains","status":"live","editorialStatus":"live","metric":"Net yield","unit":"bps","higherIsBetter":true,"abstract":"We compare validator net yield across chains by polling each\nchain's canonical yield source every 5 minutes and computing\n`net_yield_bps = gross_apr_bps × uptime_fraction`. For Solana,\nthe source is the Stakewiz validators API\n(`api.stakewiz.com/validators`), which exposes `total_apy` that\nalready aggregates staking inflation rewards + Jito MEV tips\ninto a single APR; Jito Kobe (`kobe.mainnet.jito.network`)\nenriches each validator with the MEV-share split for the\ntransparency gauge. For Hyperliquid, the source is\n`/info validatorSummaries` whose `predictedApr.day` is staking\nyield only (no MEV layer exists, Hyperliquid's centralised\nsequencer captures order flow value upstream). For Ethereum, the\nsource is the live total beacon-chain effective balance from\nultrasound.money (`/api/v2/fees/effective-balance-sum`), plugged\ninto the consensus spec reward formula (base reward factor 64)\nto give the network-average nominal APR for a 32 ETH solo\nvalidator. The Ethereum figure is consensus layer only:\nattestation, proposer and sync committee rewards in expectation.\nExecution tips and MEV are excluded, so it understates what a\nMEV-Boost proposer realizes, and it is not a liquid staking APY.\nEthereum ships as one network-average series rather than\nper-validator gauges: the active set is ~1M validator indices,\nand consensus rewards are uniform per 32 ETH increment, so the\nnetwork average equals the solo validator number. Solana is capped\nto the top 200 validators by activated stake to keep Prometheus\ncardinality bounded (the full set is ~3000); Hyperliquid\nexposes all ~30 active. The per-chain leaderboard number is\n`ocb_chain_median_net_yield_bps{chain}`, the median across the\nper-validator gauges. p90 / p99 via an instant\n`quantile()` across the tracked validators surface the right tail (best\nnet yield among those tracked). Caveats. (a) Solana's median is\ndragged below the modal value by ~42 validators currently\nemitting 0 APY, commission set to 100% or no leader slots this\nepoch, both legitimate states that still count as \"stakeable\nbut currently unproductive\". (b) Stakewiz `total_apy` is itself\na 30-epoch trailing estimate, not a forward guarantee. (c)\nHyperliquid jails ~4 validators at any given time (consensus\nfault), and those land in the dataset with `jailed=1` and\n`predictedApr=0`. We surface them rather than filtering so the\nhonest count of active validators stays visible.\n","methodology":["Sources. Solana primary: `GET api.stakewiz.com/validators` (free, no key). `total_apy` already includes inflation + Jito MEV tips. Solana enrichment: `GET kobe.mainnet.jito.network/api/v1/validators` for MEV-share split. Hyperliquid: `POST api.hyperliquid.xyz/info {type:validatorSummaries}`, field `predictedApr.day` × `uptimeFraction`. Prices: CoinGecko (SOL/USD), HL `metaAndAssetCtxs` (HYPE/USD).","Cadence. 5-minute scrape interval per chain. Validator-level metrics (APR, commission, uptime, stake) move on epoch boundaries (~2 days on Solana, ~30 seconds on Hyperliquid), so sub-minute polling would add Prom cardinality cost without information.","Net yield formula. `net_yield_bps = gross_apr_bps × uptime_fraction`. Slashing is treated as negligible in v1, Solana has never slashed in production, and Hyperliquid's jailed-validator state is surfaced as `ocb_validator_jailed{chain, validator}=1` separately rather than amortised into the APR. Both chains report APR (simple yield), not APY (compounded); the bench reports APR-as-bps to match what the upstream APIs publish, no compounding adjustment applied.","Cap. Solana exposes ~3000 active validators across the full set; the bench caps to the top 200 by `activated_stake` (USD-weighted) to keep Prom cardinality at ~230 series total across the two chains. The top 200 represent ~90% of staked SOL by value, so the median is representative of where real stake sits, not of the long tail of <1k SOL validators. Hyperliquid exposes ~30 active validators total, all are tracked.","Median (chain-level headline). `ocb_chain_median_net_yield_bps{chain}` is computed harness-side over the per-validator gauges every scrape, not derived from Prom. This includes the ~42 Solana validators currently at 0% APY (commission 100% or no leader slots), which materially pulls the Solana median down vs the modal active-validator yield. A reader who wants 'yield I would get if I picked a sane validator' should look at p75 or higher on the Solana distribution, not the chain median.","MEV treatment. Solana: MEV tips from Jito are already folded into Stakewiz `total_apy`. `ocb_validator_mev_share_bps` is exposed for transparency (a reader sees 'Helius APR 600 bps of which 80 bps MEV') but NOT subtracted to produce a 'staking-only' figure. Hyperliquid: no separate MEV layer (centralised sequencer captures order-flow value at the protocol level), so the MEV gauge is 0 by convention.","Ethereum. Source: `GET ultrasound.money/api/v2/fees/effective-balance-sum` (free, no key), live total beacon-chain effective balance. APR = 64 × epochs_per_year / sqrt(total_gwei), the consensus spec reward formula at 100% participation (realized ~99.5%, under 2 bps of drift). One network-average series: consensus rewards are uniform per 32 ETH increment, so the average equals the solo validator nominal APR. Execution tips and MEV excluded. Price: CoinGecko (ETH/USD).","Jailed / inactive handling. Hyperliquid: `jailed=1` validators (currently 4) land in the dataset with `predictedApr=0`, so `net_yield_bps=0`. Solana: ~42 validators report `total_apy=0`. Live data shows two causes: commission 100% (operator routes everything to themselves, delegators get 0) or zero leader slots this epoch (no block-production rewards). Both legitimate transient states, both count toward total + median.","Excluded by design. Per-validator Ethereum gauges (~1M active indices; needs beacon-node ingestion, deferred to v2). Ethereum execution tips and MEV (needs per-relay MEV-Boost scraping; the published figure is consensus only). Lido / Rocket Pool / Coinbase staked-ETH are products with own fee structures, not validator yields (separate bench `liquid-staking-yield`, future). Cosmos, Polkadot, Avalanche out of scope v1, chain-specific sources would dilute focus."],"findings":["Solana currently leads at 5.32% (median net yield, 24 h) across 3 measured chains. The cross-chain gap is structural: Solana's ~5.6% median reflects PoS inflation + Jito MEV tips minus average ~24% validator commission, while Hyperliquid's ~2.2% reflects staking-only rewards on a deflationary HYPE token with no MEV layer to top it up.","Solana median sits at 5.32% (24 h) across the top 200 validators by stake. The headline is dragged down by ~42 validators currently emitting 0% APY, commission set to 100% or no leader slots in the current epoch. The modal active Solana validator is closer to ~6.0%; reading the chain median requires understanding that ~21% of the tracked set is structurally non-yielding right now.","Hyperliquid returns 2.18% (median, 24 h) across all 31 active validators. 4 are currently jailed (consensus fault, `jailed=1`, `predictedApr=0`) which pulls the median; the active-set median is closer to 2.25% (top operators at ~225 bps cluster very tightly because Hyperliquid's reward model distributes evenly across non-jailed validators).","Top Solana validators by stake: Figment ($1.36B), Helius ($1.29B), Binance Staking ($1.16B), Jupiter ($1.10B), Ledger by Figment ($794M). These are the institutional and exchange validators where delegated stake concentrates; their individual net yields cluster around the chain modal, not the median.","Top Hyperliquid validators by stake: the four Hyper Foundation validators (1-4) collectively control >$12.8B in staked HYPE, with Anchorage by Figment ($1.43B) and Nansen × HypurrCollective ($1.38B) the largest non-foundation operators. The foundation concentration is much higher than on Solana, a structural difference between a permissioned ~30-validator set and a permissionless ~3000-validator one.","Ethereum publishes 2.60% as a single network-average consensus-layer APR, computed from the beacon spec reward formula on the live total effective balance (~40M ETH staked). The figure moves inversely with the square root of total stake and excludes execution tips and MEV, so a proposer running MEV-Boost realizes more in practice. It is a solo validator nominal APR, not a liquid staking APY: Lido or Rocket Pool quote lower because product fees are netted out."],"source":"https://github.com/ChainBench/OpenChainBench/tree/main/harnesses/validator-yield","providerNotes":{"solana":"MEV inc.","ethereum":"MEV excl.","hyperliquid":"no MEV"},"results":[{"name":"Solana","slug":"solana","tag":"Top 200 by stake · Stakewiz APY (MEV in)","ms":{"p50":532.473,"p90":563,"p99":564,"mean":418.013},"successRate":99.95,"sampleSize":200,"query":"ocb_chain_median_net_yield_bps{chain=\"solana\"}","formula":"Median net yield in bps across the top 200 Solana validators by stake, where net_yield = Stakewiz total_apy (MEV folded in) × uptime_fraction.","availability":"live","meta":{"observedAt":1784679903379}},{"name":"Hyperliquid","slug":"hyperliquid","tag":"All active · predictedApr.day × uptime","ms":{"p50":217.554,"p90":223.61,"p99":224.283,"mean":173.116},"successRate":100,"sampleSize":34,"query":"ocb_chain_median_net_yield_bps{chain=\"hyperliquid\"}","formula":"Median net yield in bps across all ~30 active Hyperliquid validators, where net_yield = predictedApr.day × stats[day].uptimeFraction from /info validatorSummaries.","availability":"live","meta":{"observedAt":1784679903379}},{"name":"Ethereum","slug":"ethereum","tag":"Network avg · consensus spec APR, MEV excluded","ms":{"p50":259.827,"p90":259.827,"p99":259.827,"mean":259.827},"successRate":100,"sampleSize":1,"query":"ocb_chain_median_net_yield_bps{chain=\"ethereum\"}","formula":"Network-average consensus-layer APR in bps for a 32 ETH solo validator: APR = 64 × epochs_per_year / sqrt(total effective balance in gwei), with live total stake from ultrasound.money. Execution tips and MEV excluded.","availability":"live","meta":{"observedAt":1784679903379}}],"extras":{"series24h":{"solana":[532.473,532.473,532.973,532.973,532.973,532.973,532.973,532.973,532.973,532.973,532.973,532.973,532.973,532.973,532.973,532.973,532.973,532.973,532.973,532.473,532.473,532.473,532.473,532.473,532.473,532.473,532.473,532.473,532.473,532.473,532.473,532.473,532,532.473,532.473,532.473,532.473,532.473,532.473,532.473,532.473,532.473,532.473,532.473,532.473,532.473,532,532,532.473,532.473,532.473,532.473,532,532.473,532.473,532.473,532.473,532.473,532.473,532.473,532.473,532.473,532.473,532.473,532.473,532.473,532.473,532.473,532.473,532.473,532.473,532.473,532.473],"hyperliquid":[216.963,216.956,216.956,216.956,216.956,216.956,216.956,216.956,216.956,216.956,216.956,216.956,216.956,216.956,216.956,216.956,216.956,216.956,216.956,216.956,216.956,216.956,216.956,216.956,216.955,216.955,216.955,216.955,216.955,216.955,216.955,216.955,216.955,216.955,216.955,216.959,216.959,216.959,216.959,216.959,216.959,216.959,216.959,216.959,216.959,216.959,216.958,216.958,216.958,216.958,216.958,216.958,217.438,217.438,217.438,217.438,217.438,217.554,217.554,217.554,217.554,217.554,217.554,217.555,217.555,217.555,217.555,217.555,217.555,217.554,217.554,217.554,217.554],"ethereum":[259.945,259.942,259.942,259.938,259.936,259.936,259.939,259.935,259.935,259.933,259.931,259.931,259.929,259.926,259.924,259.922,259.919,259.917,259.914,259.911,259.909,259.907,259.904,259.903,259.903,259.897,259.896,259.893,259.89,259.887,259.885,259.883,259.88,259.878,259.875,259.873,259.87,259.867,259.868,259.868,259.861,259.859,259.859,259.859,259.853,259.847,259.847,259.844,259.841,259.839,259.836,259.834,259.831,259.829,259.824,259.823,259.821,259.823,259.823,259.826,259.827,259.827,259.827,259.827,259.827,259.827,259.827,259.827,259.827,259.827,259.827,259.827,259.827]},"series7d":{"solana":[539.5,539.5,539.5,539.5,539.5,539.5,539.5,539.5,539.5,539.5,539.5,539.5,539.5,539.5,539.5,539.5,539.5,539.5,539.5,539.5,539.884,539.857,538,538,537.894,537.894,537.894,537.921,537.921,537.921,537.921,537.921,537.921,537.921,537.921,537.921,537.421,537.921,537.921,537.921,537.921,537.921,537.921,537.921,537.921,537.473,535,535.43,535,535,535,535,535,535,535,535,535,535,535,535,535,535,535,535,535,535,535,535,535,535,534,532.973,532.473,532.973,532.973,532.973,532.473,532.473,532.473,532.473,532.473,532.473,532.473,532.473,532.473],"hyperliquid":[217.059,217.053,217.054,217.054,217.054,217.054,217.057,217.06,217.06,217.066,217.065,217.063,217.063,217.056,217.056,217.056,217.049,217.075,217.073,217.074,217.073,217.073,217.071,217.054,217.049,217.052,217.055,217.055,217.053,217.055,217.056,217.058,217.055,217.053,217.063,217.063,217.059,217.059,217.062,217.062,217.061,217.061,217.063,217.061,217.061,217.063,217.063,217.067,217.061,217.06,217.059,217.059,217.059,217.059,217.06,217.058,217.058,217.058,217.058,217.055,217.055,217.048,217.048,217.048,217.048,217.048,217.048,217.063,217.016,217.019,217.019,217.021,216.963,216.956,216.956,216.956,216.955,216.955,216.959,216.959,216.958,217.438,217.554,217.555,217.554],"ethereum":[260.738,260.737,260.737,260.734,260.733,260.734,260.731,260.735,260.735,260.735,260.735,260.735,260.735,260.733,260.732,260.719,260.705,260.69,260.674,260.661,260.647,260.632,260.618,260.605,260.604,260.605,260.593,260.578,260.564,260.549,260.534,260.52,260.506,260.496,260.479,260.463,260.451,260.434,260.417,260.406,260.389,260.372,260.354,260.34,260.324,260.31,260.295,260.282,260.271,260.256,260.24,260.226,260.21,260.195,260.179,260.17,260.154,260.139,260.123,260.111,260.095,260.089,260.076,260.061,260.054,260.042,260.028,260.021,260.006,259.99,259.979,259.96,259.945,259.939,259.929,259.914,259.903,259.885,259.87,259.859,259.841,259.824,259.827,259.827,259.827]},"series30d":{"solana":[560.944,559.888,559.416,559.416,559.327,559,559,559,559,558.828,558.328,558.328,558.328,557.165,556.416,556.416,556.416,556.469,556.469,555.937,556,552.168,552.168,552.668,552.668,551.169,551.169,551.169,551.169,549,548.841,548.511,548.841,547.5,547.473,547.473,547.473,546,545,545,545,545,543.473,543.5,543.5,543.5,539.5,539.5,539.5,539.5,537.894,537.921,537.421,537.921,535,535,535,535,532.473,532.473,532.473],"hyperliquid":[217.687,217.687,217.738,217.74,217.747,217.773,217.755,217.749,217.771,217.749,217.231,217.193,217.196,217.201,217.203,217.184,217.332,217.297,217.311,217.231,217.23,217.216,217.292,217.255,217.277,217.315,217.316,217.304,217.298,217.283,217.281,217.039,216.963,216.957,216.943,216.947,216.906,216.899,216.924,216.924,216.921,216.895,216.894,217.009,217.052,217.063,217.059,217.057,217.063,217.073,217.049,217.056,217.059,217.063,217.061,217.06,217.055,217.048,216.963,216.959,217.554],"ethereum":[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,261.691,261.74,261.687,261.476,261.371,261.371,261.171,261.075,260.985,260.907,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Solana RPC for tx landing, live slot delta benchmark","seoTitle":"Fastest Solana RPC 2026: slot delta","seoDescription":"Fastest Solana RPC for tx landing live: Helius, Jito, Astralane, Nozomi p50 slot delta ranked.","seoIntro":"This benchmark answers the only question that matters to a\nSolana trader picking a landing service. how many slots does\nyour signed mainnet transaction take to reach the confirmed\nstate on chain. Every hour from a us-east probe, the harness\nsubmits an identical signed tx through each of 5 services in\nparallel, captures the submit slot before send and the land\nslot from the signatureSubscribe WebSocket notification at\ncommitment=confirmed, and increments per-service Prometheus\nhistograms. Headline numbers shown are p50 and p99 slot delta\nover a rolling 7-day window. Wall-clock milliseconds are\npublished alongside for intuition (one Solana slot is ~400 ms,\nso a p50 of 1 slot is ~400 ms wall-clock plus submission RTT)\nbut slot delta is the canonical, sponsor-proof on-chain\nmeasurement.\nWhy slot delta is the right metric. Solana confirmation is a\nslot-level event. when a slot reaches supermajority vote, every\ntransaction in it becomes confirmed simultaneously. Wall-clock\nms conflates HTTP submission time, our RPC's polling lag, and\nnetwork RTT to the public WebSocket - all of which are\nmeasurement artifacts unrelated to the landing service's actual\nrouting quality. Slot delta is what the chain itself records.\nCoverage. 5 services probed in V0-Lean. Jito Block Engine (the\ncontrol / baseline because Helius, Astralane, Nozomi all\ninternally route some flow through it). Helius Sender in\n`swqos_only=true` mode (isolates the Helius own-path from the\nJito leg). Astralane Iris (tip-refund mechanism). Nozomi by\nTemporal Labs (premium tier, hard 1M lamport tip floor).\n0slot.trade (premium tier). NextBlock, bloXroute and\nSolanaVibeStation arrive in the next tier (V1) once the first\nsponsors land. Companion bench. /benchmarks/solana-tx-landing\nmeasures market share via on-chain tip-wallet attribution -\nwho carries the flow today, regardless of speed.\n","disclaimer":"Six caveats. (1) us-east only, sgp / eu-west arrive in V2. (2) One pre-registered tip per service. (3) Synthetic payload (1-lamport + memo); real swaps may land differently. (4) Helius / Astralane / Nozomi fan out to Jito internally; Jito control probe runs each cycle. (5) Confirmation = `confirmed`. (6) Slot delta is canonical; ms is derived (≈ slot_delta × 400 ms + RTT). Pair with /benchmarks/solana-tx-landing.\n","faq":[{"q":"Why is slot delta the headline metric instead of wall-clock latency?","a":"Solana confirmation is a slot-level event. when a slot reaches supermajority vote (~2/3 of stake), every transaction in that slot becomes confirmed simultaneously. The WebSocket pushes notifications for all subscribed signatures in that slot at the same instant. So if 3 services delivered txs that all landed in the same slot, our wallclock measurement records the same time for all 3, the only differentiation is whether the next service's tx landed in slot N or N+1. slot_delta captures that directly. Wall-clock ms is derived (slot_delta × ~400 ms + RTT + variance) and conflates routing quality with measurement artifacts like HTTP submission speed and our public RPC's network latency. We publish wall-clock ms because traders think in seconds, but slot_delta is what you should cite in an audit or methodology dispute. It's RTT-independent and reads directly from the chain."},{"q":"What does '1 slot' actually mean in time?","a":"Solana slots are ~400 ms in practice (~625 ms target with leader skips and forks averaging it down). A p50 slot_delta of 1 means your tx typically lands in the slot immediately following your submission, ~400 ms after sendTransaction return. p50 of 2 means typically one slot later, ~800 ms. The gap between p50 = 1 and p50 = 2 is the operational signal, a service that consistently lands 1 slot earlier than its competitors is ~400 ms ahead, which is the difference between catching an arbitrage and missing it."},{"q":"Why an active bench when /benchmarks/solana-tx-landing already exists?","a":"/benchmarks/solana-tx-landing is observational, it watches the chain and counts who carries the flow. It cannot answer 'how fast does my tx land if I send it now', because it doesn't send anything. This bench (active probing) answers that, at the cost of running 24 / 7 with real SOL ($159 / month at the V0-Lean cadence). The two benches answer different product questions. Read both."},{"q":"Why only 5 services, not the 8 you measure observationally?","a":"NextBlock, bloXroute Trader, and SolanaVibeStation all require paid plans or sales-call onboarding before they issue an API key. We're shipping V0-Lean today with the 5 services that have a clear self-serve or contact-based path. The other 3 will be added as the bench scales. The observational bench at /benchmarks/solana-tx-landing already covers all 8 because it doesn't need API keys."},{"q":"Why us-east only?","a":"V0-Lean. us-east is the de-facto Solana baseline (Jito, NextBlock, bloXroute, Helius all anchor their best-connected POPs there) and is where most Solana bots deploy by default. Adding eu-west and sgp triples the bench cost and answers a different question ('does the ranking change by geography?'), which is a planned V2 scope expansion."},{"q":"What's the probe payload?","a":"Five instructions in this exact order, locked by methodology §3. (1) SetComputeUnitLimit(50,000). (2) SetComputeUnitPrice(50,000 micro-lamports/CU), together a 2,500-lamport priority fee. (3) SystemProgram.Transfer of 1 lamport from the prober keypair to itself, the minimal valid state-touching tx. (4) SystemProgram.Transfer to the service's documented tip wallet at the pre-registered floor. (5) Memo program write with the cycle ID, service name, and probe mode. Total weight: ~600 bytes, well under the 1,232-byte tx limit."},{"q":"How is fan-out handled?","a":"Helius (default mode), Astralane, and Nozomi route a portion of flow through Jito internally. The Jito control probe, Jito is part of the V0-Lean probe set, fires in the same cycle as the suspect services with the same blockhash and a comparable tip. The slot_delta column tells you immediately whether a suspect service is adding value beyond a Jito wrapper. Same slot_delta as Jito = same inclusion slot = Jito caught it. Suspect ahead by 1+ slot = real own-path routing. Helius is additionally probed in `?swqos_only=true` mode to fully isolate its own routing path."},{"q":"Can a service detect and prioritise our probes?","a":"Yes, in principle. The memo prefix `ocb-` is deterministic and the keypair is constant per region. Anti-fingerprinting (memo randomisation, sub-account rotation, tip jitter within the floor band) ships in v1.0.2 methodology PR. We disclose this risk openly; the trade-off is that announcing the bench publicly to providers gives them a chance to fix real performance issues before we publish, which is a good outcome. We do NOT accept private deals to alter the probe surface for any specific service."},{"q":"Why is sample_size on the dashboard ~168 per service?","a":"V0-Lean cadence = 1 probe per service per hour from 1 region. 168 = 24 hours × 7 days. The 7-day publication window is the trade-off between statistical resolution (sample size grows with window) and freshness (shorter window reflects current chain conditions). At ~168 samples per cell, p50 is stable to within ±5 % and p99 to within ±15 %. Lower confidence intervals are unlocked at V0.5 cadence (1 / 10 min, ~$760 / mo) and above."},{"q":"How is the confirmation observed?","a":"Via `signatureSubscribe` on the public mainnet WebSocket (`wss://api.mainnet-beta.solana.com`). The subscription is registered BEFORE submission so a fast-confirming tx cannot complete before we are listening (otherwise we'd miss the notification and timeout spuriously). The RPC pushes the notification at the instant the commitment level is reached, so observation resolution is RTT-bounded (~30-50 ms us-east → mainnet-beta) and slot_delta is read directly from the notification's context.slot field. HTTP polling at 200 ms is an automatic fallback if the WebSocket fails to connect for a given cycle."}],"subtitle":"How fast each landing service gets a signed mainnet tx confirmed. Slot delta = number of Solana slots between submit and confirmed (1 slot is roughly 400 ms). Active probing every hour from us-east.","category":"Trading","status":"draft","editorialStatus":"live","metric":"p50 slot delta to confirmed (7-day window)","unit":"slots","higherIsBetter":false,"abstract":"We probe 5 Solana transaction landing services from a single\nRailway us-east region, once per hour, by submitting an\nidentical signed mainnet transaction to each. The payload is\nthe minimal valid Solana tx, compute-budget instructions\n(50k CU limit, 50k micro-lamport/CU price), a 1-lamport\nself-transfer, the per-service tip transfer to the service's\ndocumented tip wallet, and an OCB-prefixed memo for forensic\ntraceability. All five services are submitted in parallel\ngoroutines within a single cycle so they sample the same chain\ncongestion window. The headline measurement is slot delta,\nland_slot minus submit_slot, captured from the\nsignatureSubscribe WebSocket notification's context.slot field\nat commitment=confirmed. Wall-clock ms is reported alongside\nbut is a derived approximation, slot_delta × ~400 ms plus\nsubmission RTT and goroutine startup variance. A 60 s no-\nconfirmation deadline classifies the probe as\ndropped{reason=timeout}; structured RPC errors classify as\ninvalid; transport failures as network_error; HTTP 419 / 429 /\n\"rate limit\" errors classify as rate_limited (a separate label\nso quota issues don't bias the bench against the throttled\nservice). Cost. ~$159/mo at SOL=$86, 86 % of which goes to the\nfour ≥1M-lamport-floor services (Nozomi, 0slot, bloXroute,\nNextBlock, only two of these in V0-Lean). Sponsor SOL credits\ncovering a service's own probes are explicitly allowed per the\nsponsor-proof framework. Limitations. (a) Single us-east\nregion, sgp / eu-west arrive in V2 once sponsors fund\ngeographic-edge story. (b) 1-hour cadence, 168 probes per\nservice per 7-day window, enough for stable p50 / p99 over the\npublication window, not enough for intra-hour resolution\n(V0.5 / V1 upgrade if needed). (c) Fan-out, Helius probed in\n`swqos_only` mode only in V0-Lean to keep wire shape simple;\ndual-mode arrives in v1.0.1 methodology PR.\n","methodology":["Source endpoints (us-east Railway, base64 JSON-RPC sendTransaction unless noted). Jito `ny.mainnet.block-engine.jito.wtf/api/v1/transactions`. Helius Sender `ewr-sender.helius-rpc.com/fast?swqos_only=true` (skipPreflight + maxRetries=0). Nozomi `http://edge.nozomi.temporal.xyz/api/sendBatch?c=<KEY>` (binary `[u16_BE_len][tx_bytes]`, HTTP per Temporal Labs). Astralane `ny.gateway.astralane.io/iris?api-key=<KEY>` (3-elem params, mevProtect). 0slot `ny.0slot.trade?api-key=<KEY>`.","Probe payload. 5 instructions in this exact order: SetComputeUnitLimit(50,000) + SetComputeUnitPrice(50,000 micro-lamports/CU) + SystemProgram.Transfer(payer→payer, 1 lamport) + SystemProgram.Transfer(payer→service tip wallet, floor lamports) + Memo(`ocb-<cycle_id>-<service>-<mode>`). cycle_id is an 8-byte random hex shared across the five parallel probes of one cycle, so the on-chain memos correlate.","Tip floors (pre-registered, methodology PR + 14-day window to change). Jito 10,000 lamports. Helius Sender 10,000. Astralane 500,000 net of refunds. Nozomi 1,000,000. 0slot 1,000,000.","Submission flow. One getLatestBlockhash(processed) shared across all five probes. One getSlot(processed) as submit_slot. For each service we subscribe to the signature via signatureSubscribe on the public WS BEFORE submission (otherwise a fast confirm could fire before we listen). Probes then fire in parallel goroutines, sign, POST. We block on the signatureNotification at commitment=confirmed; context.slot is land_slot; slot_delta = land_slot - submit_slot.","Why slot delta is canonical. Solana confirmation is slot-level. when a slot reaches supermajority, every tx in it becomes confirmed simultaneously. The WS pushes notifications for all subscribed sigs in that slot at the same instant. So sub-400 ms wallclock diffs between services in the same slot are artifacts (goroutine startup, RTT), not routing quality. slot_delta is what the chain records, what to cite in audits.","Wall-clock ms is a derived approximation. ms ≈ slot_delta × ~400 ms + HTTP submission RTT + variance. We publish it for intuition because traders think in seconds, not slots, but it should not be the sole metric in a sponsor pitch or audit. If a service argues 'your ms numbers are biased by your RTT', the answer is the slot delta column, which is RTT-independent.","Drop classification. timeout = no confirmation within 60 s. invalid = RPC error, on-chain Err, or BlockhashNotFound. network_error = transport-level (timeout, DNS, EOF, connection refused). rate_limited = HTTP 419 / 429 / 'rate limit' / 'too many requests'. landing_rate is published as success / (success + timeout), rate_limited and network_error are excluded so quota / transport issues don't bias the bench against a throttled service.","Jito control probe. Helius (default), Astralane, Nozomi route a portion of flow through Jito internally, conflating own-path vs Jito-caught-it. Jito is in the V0-Lean set so its control fires in the same cycle. Same slot_delta as Jito = no measurable own-path value. Suspect ahead by 1+ slot = real routing advantage.","Reproducibility. The full harness source is at github.com/ChainBench/OpenChainBench/tree/main/harnesses/solana-tx-landing. Anyone with a funded Solana keypair (~1 SOL) can clone, set SOLANA_PROBE_KEYPAIR_BASE58, run the binary, and reproduce these metrics. The bench does not rely on any private or internal service for measurement, the only RPC dependency is the public `api.mainnet-beta.solana.com` HTTP + WebSocket endpoints.","Methodology v1.3 pre-registered at github.com/ChainBench/OpenChainBench/blob/main/docs/methodology/solana-tx-landing-active.md. Any change (tip floor, probe payload, cadence, region, metric definitions) ships as a public PR with a 14-day comment window. Major version bumps run a 30-day shadow period publishing old and new metrics in parallel."],"findings":["{{best_name}} leads the V0-Lean probe set at p50 = {{best_p50}} slot delta over the rolling 7-day window. Lower = fewer Solana slots between submission and confirmation. The gap between fastest and slowest is the operational signal, every service claims '99 %+ landing rate' in marketing copy, but the chain doesn't lie about which slot included your tx. A 1-slot difference is ~400 ms, enough for a MEV bot to front-run a competitor.","{{name:jito}} is the baseline / control. Helius (default mode), Astralane, and Nozomi all internally fan out to Jito, so the Jito p50 is the floor any premium service must beat. Same slot_delta as Jito on a given cycle = the service is essentially using Jito as its inclusion path. {{name:jito}} sits at p50 = {{p50:jito}} slot delta.","{{name:helius-sender}} in `swqos_only` mode isolates Helius's own routing path from the Jito leg. p50 = {{p50:helius-sender}} slot delta. A v1.0.1 methodology update will publish Helius default mode (with Jito fan-out) side-by-side for direct comparison.","{{name:nozomi}} premium pricing (1M lamport hard floor, ~10 × Jito's competitive level) only makes economic sense if the slot_delta advantage is meaningful. p50 = {{p50:nozomi}} slot delta. The gap vs Jito quantifies whether the tip premium buys real slot priority.","{{worst_name}} trails at p50 = {{worst_p50}} slot delta. The worst slot delta in the V0-Lean set is not necessarily a bad service, it may be a service whose strength is in dimensions this bench doesn't measure (anti-MEV protection, durable nonce, fee-refund mechanics). Latency is one variable, not the whole product."],"source":"https://github.com/ChainBench/OpenChainBench/tree/main/harnesses/solana-tx-landing","results":[{"name":"Jito","slug":"jito","tag":"Baseline + control probe; atomic bundles + tip auction since 2022","ms":{"p50":0,"p90":0,"p99":0,"mean":0},"successRate":0,"formula":"50th percentile over 7d of slot delta (land_slot − submit_slot) for hourly signed mainnet probes submitted to Jito's `ny.mainnet.block-engine.jito.wtf` from us-east.","meta":{"observedAt":1783107285105}},{"name":"Helius","slug":"helius-sender","tag":"Isolated Helius own-path (no Jito fan-out); anycast + 7 POPs","ms":{"p50":0,"p90":0,"p99":0,"mean":0},"successRate":0,"formula":"50th percentile over 7d of slot delta (land_slot − submit_slot) for hourly signed probes submitted to Helius Sender in `swqos_only=true` mode from us-east, isolating its own-path.","meta":{"observedAt":1783107285105}},{"name":"Astralane","slug":"astralane","tag":"Tip-refund mechanism, sendBundle / sendIdeal modes, FRA + NY POPs","ms":{"p50":0,"p90":0,"p99":0,"mean":0},"successRate":0,"formula":"50th percentile over 7d of slot delta (land_slot − submit_slot) for hourly signed probes submitted with a 500k-lamport net tip to Astralane Iris's NY gateway from us-east.","meta":{"observedAt":1783107285105}},{"name":"Nozomi","slug":"nozomi","tag":"Temporal Labs, direct-to-leader, premium 1M-lamport hard floor","ms":{"p50":0,"p90":0,"p99":0,"mean":0},"successRate":0,"formula":"50th percentile over 7d of slot delta (land_slot − submit_slot) for hourly signed probes submitted with a 1M-lamport tip to Nozomi's `edge.nozomi.temporal.xyz` from us-east.","meta":{"observedAt":1783107285105}},{"name":"Mobula","slug":"mobula","tag":"Multi-RPC fan-out aggregator (relays via Jito / Nozomi / zeroslot)","ms":{"p50":0,"p90":0,"p99":0,"mean":0},"successRate":0,"formula":"50th percentile over 7d of slot delta (land_slot − submit_slot) for hourly probes submitted via Mobula's `api.mobula.io/api/2/swap/send` multi-RPC fan-out from us-east, using a Jito tip wallet.","meta":{"observedAt":1783107285105}}],"extras":{"series24h":{},"regions":{}},"sampleSize":0,"lastRunAt":"2026-07-03T19:34:45.105Z","dataAsOf":1783107285105},{"slug":"bridge-revenue","number":"028","title":"Cross-chain bridge implied protocol revenue","seoTitle":"Cross-chain bridge revenue tracker 2026","seoDescription":"Live cross-chain bridge implied protocol revenue. (USD in − out − gas − fees) summed daily, ranked in USD.","seoIntro":"This benchmark answers a question that has no honest public\nanswer today. how much money does Relay.link, the leading\ncross-chain swap routing protocol, actually retain from the\nflow it processes. The bench computes implied margin per swap\nas (USD value the user paid) minus (USD value the user\nreceived) minus (gas total in USD) minus (any external app\nfees the API discloses), then sums that margin over rolling\n24-hour, 7-day and 30-day windows. The result is the smallest\npossible number consistent with the on-chain swap data, but\nnot necessarily the smallest possible number consistent with\nRelay's books. Relay shares revenue with the solver network\nin ways the public API does not break out, so the bench\nattributes the full margin to \"Relay plus solvers collectively\".\nTreat the headline as a ceiling on what Relay alone keeps.\nWhy publish an upper bound. Because no lower bound exists in\npublic data. Relay does not publish a fee schedule mapping\nvolume to revenue. Solver-rebate arrangements are private.\nCommunity-tracked volume ($80M-$150M per day per public\ndisclosures) times a market-implied 1-5 bps blended take\nrate yields an expected band of $20k-$100k per day, or\n$0.75M-$2.5M per month. This bench tightens that band by\nmeasuring directly from the swap stream and discloses every\nmethodology choice so readers can reproduce or argue with\nthe number.\nHow it works. A Go program polls the Relay.link public swap\nAPI every 60 s, joins each completed swap against a USD\nreference at the swap timestamp, subtracts gas and disclosed\nexternal app fees, and emits the resulting margin as a\nPrometheus gauge labeled by window. Unpriced swaps are\nexcluded from the sum and counted separately. Headline\nnumbers render as p50 / p90 / p99 on the bench page; those\nslots are repurposed for 24h / 7d / 30d windows of the same\nmargin metric. Take rate in bps is published alongside.\n","disclaimer":"This is an UPPER BOUND, not an exact protocol-revenue number. The margin = USD-in minus USD-out minus gas minus disclosed app fees. Some of that margin Relay shares with solvers in ways we cannot distinguish from the public swap data, so the bench attributes the full amount to \"Relay plus solvers collectively\". Treat the headline as a ceiling on Relay's own take, not a P&L line. Unpriced swaps (token without a USD reference at swap time) are excluded from the sum and counted separately.\n","faq":[{"q":"Is this Relay.link's actual revenue?","a":"No. It is an upper bound. Implied margin equals USD paid minus USD received minus gas minus disclosed app fees, summed over completed swaps. Relay shares an unknown fraction of that margin with its solver network through arrangements the public API does not break out. The headline therefore captures what Relay AND its solver network collectively retain, not Relay's own bottom-line revenue. Without access to internal rebate accounting, the bench cannot decompose the split. Treat the headline as a ceiling and apply your own solver-share assumption if you need a Relay-only number."},{"q":"Why publish an upper bound instead of an exact number?","a":"Because no exact number exists in public data and an upper bound is the most rigorous estimate the public swap stream supports. Relay does not publish a fee schedule mapping volume to protocol revenue, and solver-rebate arrangements are private. The alternatives are either to publish nothing, or to publish a guess. An upper bound computed directly from the swap data is more useful than a guess, and is honest about the residual uncertainty. The methodology section spells out exactly what the upper-bound assumption is so readers can apply their own adjustments."},{"q":"What does the expected band of $20k-$100k per day come from?","a":"Cross-validation. Public disclosures put Relay daily volume at $80M to $150M per day. Industry-standard cross-chain take rates cluster at 1 to 5 basis points blended (bridge aggregators and routing protocols typically sit in this range). Multiplying the two ranges yields an expected revenue band of $20k to $100k per day, or $0.75M to $2.5M per month. The live bench number should fall inside this band. A reading meaningfully outside it is either a data-quality issue the methodology flags, or a signal that the cross-validation assumptions need to be revisited."},{"q":"Why are 24h, 7d and 30d shown in the p50 / p90 / p99 columns?","a":"OpenChainBench's standard leaderboard renders p50 / p90 / p99 of a latency-like metric. For a revenue benchmark there is no native percentile interpretation, so the three slots are repurposed to surface the same metric at three timescales: 24h in p50, 7d in p90, 30d in p99. This preserves the at-a-glance comparability of the leaderboard while making the multi-window nature of the metric explicit. The methodology section calls this out so readers do not misread the columns as actual percentiles."},{"q":"What happens to swaps whose tokens have no USD price at swap time?","a":"They are excluded from the margin sum and the volume sum, and counted separately as relay_swaps_unpriced_total. The success column on the bench page is priced / (priced + unpriced), so a low ratio is visible. Causes of an unpriced swap include long-tail token without a CoinGecko entry, price-feed gap, or a brand-new token launched within minutes of the swap. The published headline understates true volume and margin proportionally to the unpriced share, so a 95 % priced ratio means the headline is about 5 % low."},{"q":"Why is the freshness threshold 5 minutes?","a":"The harness polls Relay's public API every 60 seconds. expected_freshness_seconds is set to 5 minutes which is 5x the poll cadence, so one missed cycle is tolerated and roughly two missed cycles fire the cron alerter. Setting it tighter (e.g. 90 s) would cause spurious alerts on transient API hiccups; setting it looser (e.g. 30 min) would let a multi-cycle outage go unnoticed. 5 min is the standard balance for a 1-min-cadence harness in this repo."},{"q":"Could solver rebates make the real number much lower than the headline?","a":"Yes. If Relay rebates half of every basis point of margin back to the solver that filled the swap, the Relay-only revenue is half the headline. Public disclosures from comparable protocols (e.g. CowSwap, 1inch Fusion) suggest solver-share fractions in the 30 % to 70 % range depending on intent design. The bench does not pick a number for Relay because that would be a guess. Readers building a P&L model should apply their own solver-share assumption to the headline. The headline itself is the ceiling, the floor is open."},{"q":"Why is this bench in the Bridges category?","a":"Relay.link is a cross-chain swap routing protocol, the closest fit in the OpenChainBench category list is Bridges. Other benches in this category measure bridge fees, bridge quote latency and bridge-monitor finality. A Trading or Aggregators classification would also be defensible since Relay is structurally closer to an intent-settlement layer than a classic bridge, but Bridges is the most discoverable bucket for the readers most likely to want this number."}],"subtitle":"Implied margin in USD that each cross-chain bridge plus its solver network collectively retain per swap, summed over rolling 24h / 7d / 30d windows. Upper bound, not exact. Read methodology before citing.","category":"Bridges","status":"live","editorialStatus":"live","metric":"Implied revenue USD (24h)","unit":"usd","higherIsBetter":true,"abstract":"Relay.link is a cross-chain swap routing protocol that\npublishes per-swap detail through a public API. This\nbenchmark consumes that API on a fixed cadence, computes\nper-swap implied margin in USD as (input USD value) minus\n(output USD value) minus (gas USD) minus (disclosed external\napp fees), and sums the margin over rolling 24-hour, 7-day\nand 30-day windows. The result is published as the protocol-\nrevenue upper bound. Volume USD, swap count and the implied\ntake rate in basis points are surfaced alongside as context.\nThe bench does not have access to Relay's internal solver-\nrebate accounting, so the number is interpreted as the\nmargin retained collectively by Relay plus its solver\nnetwork, not Relay's own bottom-line revenue. Cross-\nvalidation. Public disclosures put Relay volume at $80M to\n$150M per day. Bridge / aggregator take rates cluster at 1\nto 5 basis points blended. Multiplying yields an expected\nprotocol-revenue band of $20k to $100k per day, or $0.75M\nto $2.5M per month, which the live bench number should fall\ninside. Significant deviation is either a data-quality issue\nthe methodology section flags (price-feed gap, unpriced\nswap surge, API change) or genuine signal that solver share\nhas shifted. Limitations. The margin definition is an upper\nbound. Solver rebates would lower it; data-quality gaps\n(missing USD reference at swap time, gas estimation drift,\nundisclosed app fees) would lower the published headline\nrelative to true protocol revenue. The harness publishes\nunpriced-swap count and last-poll timestamp as freshness\nsignals so readers can spot data-quality regressions.\n","methodology":["Data source. The Relay.link public swap API is polled on a fixed cadence (default 60 s). The harness consumes the swap stream incrementally, deduping by swap ID, and emits each completed swap as a single contribution to the running window sums. Only swaps with status `success` are counted; pending or failed swaps are tracked separately and excluded from the revenue sum.","Margin definition. per_swap_margin_usd = input_usd - output_usd - gas_usd - external_app_fees_usd. input_usd and output_usd are computed by joining the on-chain token amounts against a USD reference at the swap timestamp from CoinGecko or equivalent. gas_usd is the chain-native gas cost (gas_used * gas_price) converted to USD at the same timestamp. external_app_fees_usd is the sum of any frontend or referrer fees the swap payload discloses.","Window sums. relay_revenue_usd{window=\"24h\"} is the rolling 24-hour sum of per-swap margin. relay_revenue_usd{window=\"7d\"} is the rolling 7-day sum. relay_revenue_usd{window=\"30d\"} is the rolling 30-day sum. relay_volume_usd and relay_swap_count are computed the same way over the same windows. The bench page binds the three timescales to the p50 / p90 / p99 slots respectively, so the leaderboard surfaces all three at a glance.","Take rate. relay_take_rate_bps = (relay_revenue_usd{window=\"24h\"} / relay_volume_usd{window=\"24h\"}) * 10000. Reported on the 24-hour window as the most recent operational signal. Expected band per cross-validation is 1-5 bps blended; a take-rate reading outside that band is either a data-quality issue or a regime change worth investigating.","Pricing coverage. relay_swaps_priced_total counts swaps where every leg had a USD reference at swap time. relay_swaps_unpriced_total counts swaps where at least one leg did not (long-tail token, missing reference, price-feed gap). The success column on the bench page is priced / (priced + unpriced), a data-quality ratio rather than a service-uptime ratio. A low ratio means the published headline understates true volume and margin.","Why margin is an upper bound on protocol revenue. Relay shares revenue with its solver network through arrangements the public API does not break out. Per-swap margin therefore captures what Relay AND solvers collectively retain, not Relay alone. Without access to internal rebate accounting, the bench cannot decompose the split. Headline is published as 'Relay implied protocol revenue (upper bound)'. Readers building a P&L model should apply their own solver-share assumption to the headline.","Freshness. relay_last_poll_timestamp_seconds is a Unix-timestamp gauge of the most recent successful API poll. The bench page's success indicator and any cron alerter use this to detect API outages or harness stalls. expected_freshness_seconds is set to 300 (5 min) which is 5x the 60 s poll cadence, so one missed cycle is tolerated and two missed cycles fire.","Cross-validation expected band. Public disclosures put Relay daily volume at $80M to $150M per day. Industry-standard cross-chain take rates cluster at 1 to 5 basis points blended. Multiplying the two ranges yields an expected revenue band of $20k to $100k per day, or $0.75M to $2.5M per month. The live number should fall inside this band. Significant deviation is either a data-quality issue or genuine signal that solver share has shifted.","Reproducibility. The full harness source is published in the OpenChainBench harnesses directory (Go). Anyone can clone, set the Relay.link API endpoint env var, run the binary against a Prometheus scraper, and reproduce these metrics. The bench does not rely on any private Mobula service for measurement, the only external dependency is the Relay.link public API and a public USD price reference (CoinGecko or equivalent).","Methodology versioning. Any change to the margin definition, window sizes, pricing source, or excluded-swap rules ships as a public PR with a 14-day comment window. Major changes (e.g. switching from upper-bound margin to a solver-net-decomposed model once private data becomes available) run a 30-day shadow period publishing old and new metric series in parallel."],"findings":["Relay implied protocol revenue (24h, upper bound) is currently $102.0K. Sum of (USD paid - USD received - gas - disclosed app fees) across every successful swap in the last 24 hours. This is the smallest number consistent with the public on-chain swap data and an upper bound on what Relay alone retains after solver-share rebates.","The 7-day rolling sum sits at {{p90:relay}}. Smoothing across a week removes day-of-week volume effects and the noise from a single large arbitrage swap that can dominate a 24-hour window. Read this number as the steady-state protocol-revenue ceiling.","The 30-day rolling sum is $6.88M. Monthly recurring revenue ceiling, useful for comparing against public revenue disclosures from comparable cross-chain protocols and against the $0.75M-$2.5M per month expected band derived from volume times take-rate cross-validation.","Implied take rate over the last 24 hours is approximately (relay_revenue_usd / relay_volume_usd) * 10000 basis points. Expected blended band per industry cross-validation is 1 to 5 bps. A reading outside this band is either a data-quality issue (priced-swap ratio dropping, gas-estimation drift) or genuine signal that solver share has shifted.","Pricing coverage (priced swaps / total swaps over 24h) controls how much of true volume the headline captures. A 100 % ratio means every swap was joined against a USD reference and the headline reflects the full flow. A lower ratio means long-tail tokens are dropping out of the margin sum and the published number understates true protocol revenue proportionally."],"source":"https://github.com/ChainBench/OpenChainBench/tree/main/harnesses/relay-revenue","results":[{"name":"Relay","slug":"relay","tag":"Cross-chain swap routing protocol","type":"relay","ms":{"p50":102021,"p90":2287970,"p99":6879570,"mean":326853},"successRate":22.970399999999998,"sampleSize":94815,"secondary":{"label":"Take rate (24h, bps)","value":"see relay_take_rate_bps"},"query":"relay_revenue_usd{window=\"24h\"}","formula":"Default headline = ceiling: sum over 24h of (input USD − output USD − gas USD − app fees) per successful swap. Toggle Floor for the on-chain solver-wallet stablecoin delta.","availability":"live","meta":{"observedAt":1784679867094}}],"extras":{"series24h":{"relay":[167705,166386,164623,162274,161309,161536,160755,159483,159913,158569,157510,157507,156041,154814,154919,156106,155955,155410,155094,154185,149849,147217,147731,150066,150606,152645,155291,153841,153235,151900,151977,151787,149187,147927,146532,144591,144656,143983,145125,144446,145146,137060,135667,119238,115688,107661,105740,102179,101432,100883,99921.3,101081,101915,102453,103543,103217,105788,105714,105776,106422,106345,104817,104963,103543,101545,101626,101180,101189,102634,101911,101977,102334,102021]},"series7d":{"relay":[235586,271009,290386,266486,283374,287551,286346,287268,271942,431547,455742,512280,502634,497852,482144,461490,445893,443932,445313,447433,441174,297112,297343,244274,381968,453364,570994,623700,628189,650639,724158,763480,791314,791124,787730,792287,659935,589371,533985,509520,500223,476732,404764,351458,313952,305594,284351,278429,238362,247767,178233,167254,160094,162738,158321,158171,172720,177961,193739,227342,218206,199300,204422,205305,215344,220373,228279,239288,249316,234833,214711,180203,167705,160755,156041,155094,150606,151977,144656,135667,101432,103543,106345,101180,102021]},"series30d":{"relay":[-12049.7,-131171,-2220.28,175956,182613,165390,208356,211500,172567,150162,127976,106895,78976.8,101070,130152,128672,165590,172407,80611,116379,156059,134412,119794,126094,121098,118669,414695,686465,975943,999696,748867,605318,523845,422137,340398,358762,248162,205069,175806,175806,113793,273763,284636,118996,111217,163132,235586,286346,502634,445313,381968,724158,659935,404764,238362,158321,218206,228279,167705,144656,102021]},"regions":{}},"metricPanels":[{"id":"ceiling","label":"Ceiling (implied margin, 24h)","description":"Upper bound from the public Relay swap API. Sum over 24h of input minus output minus gas minus disclosed app fees. Includes solver and integrator share.","metric":"relay_revenue_usd{window=\"24h\"}","unit":"usd","higherIsBetter":true,"tab":true,"values":{"relay":102021},"seriesByProvider":{"relay":[167705,166386,164623,162274,161309,161536,160755,159483,159913,158569,157510,157507,156041,154814,154919,156106,155955,155410,155094,154185,149849,147217,147731,150066,150606,152645,155291,153841,153235,151900,151977,151787,149187,147927,146532,144591,144656,143983,145125,144446,145146,137060,135667,119238,115688,107661,105740,102179,101432,100883,99921.3,101081,101915,102453,103543,103217,105788,105714,105776,106422,106345,104817,104963,103543,101545,101626,101180,101189,102634,101911,101977,102334,102021]},"seriesByProvider7d":{"relay":[235586,271009,290386,266486,283374,287551,286346,287268,271942,431547,455742,512280,502634,497852,482144,461490,445893,443932,445313,447433,441174,297112,297343,244274,381968,453364,570994,623700,628189,650639,724158,763480,791314,791124,787730,792287,659935,589371,533985,509520,500223,476732,404764,351458,313952,305594,284351,278429,238362,247767,178233,167254,160094,162738,158321,158171,172720,177961,193739,227342,218206,199300,204422,205305,215344,220373,228279,239288,249316,234833,214711,180203,167705,160755,156041,155094,150606,151977,144656,135667,101432,103543,106345,101180,102021]},"seriesByProvider30d":{"relay":[-12049.7,-131171,-2220.28,175956,182613,165390,208356,211500,172567,150162,127976,106895,78976.8,101070,130152,128672,165590,172407,80611,116379,156059,134412,119794,126094,121098,118669,414695,686465,975943,999696,748867,605318,523845,422137,340398,358762,248162,205069,175806,175806,113793,273763,284636,118996,111217,163132,235586,286346,502634,445313,381968,724158,659935,404764,238362,158321,218206,228279,167705,144656,102021]},"valuesMeta":{"relay":{"observedAt":1784679867094}}},{"id":"floor","label":"Floor (solver stablecoin delta, 24h)","description":"Lower bound from the Relay solver EOA stablecoin balance change over 24h, sampled from Mobula's wallet portfolio every 5 min. What the system actually retained before any sweep to ops.","metric":"relay_solver_balance_delta_usd{kind=\"stables\",window=\"24h\"}","unit":"usd","higherIsBetter":true,"tab":true,"values":{"relay":-47064.9},"seriesByProvider":{"relay":[-412809,-281441,-150008,-29679.7,261929,495376,204264,86097.2,545650,302400,240104,1322100,253107,190841,316941,1252370,-46348.8,-11423.9,-218834,192039,9850.26,-366323,161938,486591,-328100,97480.2,-825273,655816,-318738,-186927,99670.7,-328849,-176180,-509778,-677224,-581213,-473424,-42365.6,204981,-370552,-175638,-555156,-2173540,-1547770,-912070,-312933,-213448,-1029080,105316,-437758,-263266,-354878,-478067,-178170,-311171,-487859,-103718,-972073,-774735,-857857,-831294,-519678,-281910,-452237,-194632,-497957,-192962,-522178,-250338,-455306,-325411,-227276,-47064.9]},"seriesByProvider7d":{"relay":[762557,1564130,632631,79430.6,1104130,2028330,624717,-246468,1097480,1221680,438514,-1134530,998728,-786332,-322191,-506776,-674185,-1611270,561851,537963,-337476,-265359,113790,586301,-1632000,397363,522871,872531,524655,380229,-667931,-755687,-321957,-572302,834871,246617,228156,-1392370,1418720,566450,458235,132581,210239,383874,706240,1984960,246162,679894,1780480,3087880,402902,29010.6,-156586,505080,409948,361937,1147530,-2096920,-93718.4,514988,-246743,-573181,-904626,-215785,268887,-206897,474879,1525310,-1451670,1121630,278785,-553699,-412809,204264,253107,-218834,-328100,99670.7,-473424,-2173540,105316,-311171,-831294,-192962,-47064.9]},"seriesByProvider30d":{"relay":[216017,-297892,-288391,-2179.16,-47623.9,-125661,158228,77182.9,-2064910,108373,1785710,29481.4,-68948.3,51627.1,556221,211512,1185910,1017480,-651952,-651952,-399233,260977,39752.9,6686430,554861,-5926880,193203,293564,-63517.2,464119,2436160,1416450,358161,1934050,-2177110,-2014230,175427,-2701200,-2759700,-2759700,1534740,845567,-784384,-1079360,-644869,-110226,762557,624717,998728,561851,-1632000,-667931,228156,210239,1780480,409948,-246743,474879,-412809,-473424,-47064.9]},"valuesMeta":{"relay":{"observedAt":1784679867094}}}],"sampleSize":94815,"lastRunAt":"2026-07-22T00:24:22.042Z","dataAsOf":1784679867094},{"slug":"solana-dex-quote-latency","number":"029","title":"Fastest Solana DEX quote API","seoTitle":"Fastest Solana DEX quote API 2026","seoDescription":"Live ms latency benchmark for Solana DEX aggregator quote APIs: Jupiter, Mobula, OpenOcean, Raydium ranked.","seoIntro":"Solana DEX aggregators sit on the hot path of every swap a wallet,\ntrading UI or routing front-end builds. A quote API that takes 600 ms\npushes a perceptible delay onto the user; a quote API at 80 ms feels\ninstant. This benchmark measures the wall-clock latency of the\nrequest-response round trip on each major Solana DEX aggregator's\nquote endpoint, against the tokens that are *actually trending right\nnow* on Solana. Every 60 seconds the harness picks a fresh bonded\ntoken from Mobula Pulse V2's live WebSocket feed (post-bonding-curve\ngraduates from Pump.fun, Meteora, Raydium LaunchLab and friends) and\nasks each provider for a 100 USDC → tokenOut quote at 1% slippage.\nRotating against newly-trending tokens defeats every per-pair edge\ncache and forces each provider to actually search a route, so the\nrecorded number reflects routing-search cost rather than a CDN hit.\nLiquidity-gap failures (a provider that can't route the picked token\nat all) land on their own counter and are excluded from the latency\nhistogram, so a provider that fails fast on long-tail coverage isn't\npenalised on the percentiles.\n","faq":[{"q":"Which Solana DEX has the fastest quote API right now?","a":"Jupiter currently returns quotes the fastest at 16 ms (p50, 24 h) across 2 measured providers. The leaderboard re-sorts every 60 seconds against fresh samples and rotates the target token each tick so no provider can serve from edge cache. The answer reflects 24 hours of measured latency across us-east, eu-west and sgp, not a marketing-page claim."},{"q":"What is quote latency on a DEX aggregator?","a":"Quote latency is the wallclock time between a swap UI asking a DEX aggregator 'what would I get if I traded 100 USDC for this token right now?' and the aggregator answering with a usable routed price. A quote API at 80 ms feels instant to the user; a quote API at 600 ms introduces a visible delay between input change and updated output. The number sets the floor on how live a swap UI can feel before any other latency (RPC, signing, broadcast) is added."},{"q":"Why does the bench rotate the target token instead of always quoting SOL → USDC?","a":"SOL → USDC is the most-cached pair on Solana: Jupiter's lite endpoint serves it from a CloudFront edge in 30-50 ms, but that measures cache hit, not routing. Rotating the target every tick, and rotating against the tokens that are *actually trending right now* via Mobula Pulse V2's bonded WebSocket feed, defeats every per-pair edge cache and forces each provider to actually run a routing search. The metric becomes a fair comparison of routing engines, not CDN configurations."},{"q":"How is quote latency measured on OpenChainBench?","a":"A harness in each of three Railway regions (us-east, eu-west, sgp) ticks every 60 seconds: it picks one Solana token from a sliding 30-minute window of bonded tokens emitted by Mobula Pulse V2 over WebSocket, then asks each provider for a 100 USDC → tokenOut quote at 1% slippage in parallel. The HTTP client reuses TCP and TLS connections across ticks, so the recorded number is the steady-state round-trip a long-lived backend integration sees, not the one-off cold-start handshake. The wallclock from request dispatch to the first byte containing a usable quoted output amount is the recorded latency. p50, p90 and p99 are computed per region via Prometheus `histogram_quantile` over 24 hours (precomputed recording rules), then averaged equal-weight across the 3 regions."},{"q":"What if a provider can't quote a particular long-tail token?","a":"It's counted as a no-route, not as a slow quote. Each provider has a recognisable 'I have no path for this pair' signal (Jupiter `NO_ROUTES_FOUND` / `TOKEN_NOT_TRADABLE`, Mobula `No route found` / `Token not found`, Raydium `INSUFFICIENT_LIQUIDITY` / `ROUTE_NOT_FOUND`, OpenOcean payload-level signal). When the harness sees it, the tick lands on `solana_quote_no_route_total` and is excluded from the latency histogram entirely, so providers that fail fast on coverage gaps aren't penalised on the percentiles. The success-rate column reflects the no-route rate honestly."},{"q":"Why does Raydium have a much lower success rate than the aggregators?","a":"Raydium's compute endpoint is single-venue: it only routes against Raydium's own AMM v4 / CPMM / CLMM pools and does not multi-hop via SOL the way Jupiter or Mobula do. Because the rotation now pulls from Mobula Pulse V2's bonded feed (most of which are Pump.fun graduates living on PumpSwap, plus Meteora and Orca pools), Raydium returns INSUFFICIENT_LIQUIDITY or ROUTE_NOT_FOUND on roughly 80% of picks. That's accurate: Raydium's API is a Raydium-pool route engine, not an aggregator. The latency column for Raydium is the conditional p50 over the small subset of bonded tokens that happen to have a Raydium pool."},{"q":"Are authentication errors and rate limits counted as 'slow'?","a":"No. HTTP 401/403/429 responses are excluded from the latency histogram entirely. They are counted in separate counters (`solana_quote_auth_error_total`, `solana_quote_throttled_total`) which show up on the success rate column. A provider that's fast but rate-limits us at the configured cadence loses points on success rate, not on latency."}],"subtitle":"Wallclock milliseconds from quote request to usable quote response.","category":"Aggregators","status":"live","editorialStatus":"live","metric":"Quote latency","unit":"ms","higherIsBetter":false,"abstract":"We measure the wallclock latency of the Solana DEX aggregator quote APIs\non freshly-trending tokens. Every 60 seconds the harness picks one token\nfrom a sliding 30-minute window of Mobula Pulse V2 bonded events on\nSolana, then sends an identical 100 USDC → tokenOut quote (1% slippage,\nno fee, no referrer) to each provider from three Railway regions and\nrecords the time from request dispatch to the first byte of a response\nthat contains a usable quoted output amount.\n","methodology":["Providers measured: Jupiter, Mobula, OpenOcean, Raydium. (DFlow added when partnership API key is available.)","Canonical request: 100 USDC → tokenOut at 1% slippage. The tokenOut rotates every tick (see below).","Token rotation (Pulse-fed). A persistent WebSocket to Mobula Pulse V2 (bonded view, Solana) maintains a 30-min sliding pool of trending bonded tokens, typically 50-300 active mints. Each tick picks one at random. A REST snapshot fallback (`market/query` volume ranks 6-55) refreshes every 10 min for Pulse outages. In steady state every tick is sourced from the WS feed.","Cadence: one quote per provider per region every 60 seconds. 1,440 samples per provider per region per day.","Regions: us-east, eu-west, sgp.","Latency definition: wallclock from HTTP request dispatch to the first byte of a response body that includes the quoted output amount (Jupiter `outAmount`, Mobula `data.amountOutTokens`, OpenOcean `data.outAmount`, Raydium `data.outputAmount`). The HTTP client reuses TCP + TLS connections across ticks (warm-path), matching how a long-running backend integration actually consumes the API. The bench measures steady-state round-trip cost, not the first-request cold-start penalty.","Failure classes. Each non-success outcome lands on exactly one counter and is excluded from the latency histogram: `solana_quote_throttled_total` (HTTP 429), `solana_quote_auth_error_total` (401/403), `solana_quote_no_route_total` (provider can't route the picked token), `solana_quote_other_error_total` (network/timeout/parse). Each provider's no-route signal is verified: Jupiter NO_ROUTES_FOUND, Mobula 'No route found', Raydium INSUFFICIENT_LIQUIDITY, OpenOcean payload-level.","Raydium scope. Raydium's compute API is single-venue (Raydium AMM v4 / CPMM / CLMM only) and does not multi-hop via SOL like Jupiter or Mobula. On Pulse-fed bonded tokens (mostly Pump.fun graduates living on PumpSwap, plus Meteora and Orca pools) it returns no-route a large and variable share of the time (30% to 100% depending on the rotation set). That's an honest coverage signal and surfaces on the success-rate column, not as latency outliers.","Direct egress from Railway, no residential proxy. The bench measures backend-to-backend latency as a real integration would see it.","Jupiter serves quotes from regional pods behind CloudFront (observed `x-region: eu-central-1` from EU, `x-pod-name: jupiter-core-*`), so each probe region reaches a nearby replica and its cross-region spread is flat by infrastructure, not by caching. Repeated identical requests return `x-cache: Miss` every time; CloudFront does not cache this endpoint. The other providers answer from a single origin, which is why their per-region tabs spread with geography.","Histogram buckets: 10, 25, 50, 100, 200, 500, 1000, 2000, 5000 ms."],"findings":["Jupiter leads at 16 ms (p50, 24 h) across 2 measured Solana DEX quote APIs. The headline is the cross-region median across a rotating long-tail token target; the per-region tabs below show where each provider's infrastructure actually sits.","Jupiter returns quotes in 16 ms (p50, 24 h). The number looks impossible until you see the response headers: Jupiter runs regional pods behind CloudFront (`x-region` matches the probe region), so a Railway us-east probe reaches a us-east replica in single-digit RTT and the in-memory route engine adds a few ms. It is a real routing search on every tick (`x-cache: Miss` on repeats), served close.","Mobula returns quotes in 577 ms (p50, 24 h). Mobula's quote API runs a live multi-DEX routing search per request, no per-pair body caching, so the gap to providers that historically cached the canonical 1 SOL → USDC pair closes once the bench rotates targets.","{{name:openocean}} returns quotes in {{p50:openocean}} (p50, 24 h). OpenOcean's v4 Solana endpoint runs a separate multi-DEX path engine; the routing search dominates the latency curve on long-tail tokens.","{{name:raydium}} is a single-venue compute endpoint (Raydium pools only). It cannot multi-hop via SOL, so on the Pulse-fed rotation it no-routes nearly everything (thousands of no-routes per day against a handful of successes). Below 50 successful quotes in 24h its latency cells go blank rather than reporting a percentile computed on single-digit samples; the success-rate column is its honest score.","p99 is the integration-grade number. 26 ms / 3.10 s / {{p99:openocean}} / {{p99:raydium}} is what a swap UI feels when a region spikes or a provider's route engine churns."],"source":"https://github.com/ChainBench/OpenChainBench/tree/main/harnesses/solana-quote-latency","dimensions":{"region":[{"value":"all","label":"All regions"},{"value":"us-east","label":"US-East"},{"value":"eu-west","label":"EU-West"},{"value":"sgp","label":"Singapore"}]},"results":[{"name":"Jupiter","slug":"jupiter","tag":"DEX aggregator (REST)","ms":{"p50":15.7032,"p90":23.2612,"p99":25.9197,"mean":11.9696},"successRate":99.88430000000001,"sampleSize":4316.5,"query":"avg(ocb:solana_quote_latency_ms:p50_24h{provider=\"jupiter\"})","formula":"Avg of the 3 regional 24h median wallclock ms on Jupiter's `lite-api.jup.ag/swap/v1/quote` for 100 USDC → <rotating long-tail token> at 1% slippage. Recorded only on 200 + non-empty `outAmount`. No-route ticks excluded.","availability":"live","meta":{"observedAt":1784679901736}},{"name":"Mobula","slug":"mobula","tag":"DEX aggregator (REST)","ms":{"p50":576.807,"p90":1260.2,"p99":3095,"mean":654.831},"successRate":97.6968,"sampleSize":4213.46,"query":"avg(ocb:solana_quote_latency_ms:p50_24h{provider=\"mobula\"})","formula":"Avg of the 3 regional 24h median wallclock ms on Mobula's `api.mobula.io/api/2/swap/quoting` for 100 USDC → <rotating long-tail token> at 1% slippage. Recorded only on 200 + non-empty `data.amountOutTokens`. No-route ticks excluded.","availability":"live","meta":{"observedAt":1784679901736}},{"name":"OpenOcean","slug":"openocean","tag":"DEX aggregator (REST)","ms":{"p50":0,"p90":0,"p99":0,"mean":0},"successRate":0,"availability":"unavailable","unresponsive":true,"formula":"3-region avg of 24h median wallclock ms on OpenOcean's `open-api.openocean.finance/v4/solana/quote` for 100 USDC → <rotating long-tail token> at 1% slippage. Recorded only when `data.outAmount > 0` and `dexId >= 0`. No-route ticks excluded.","meta":{"observedAt":1784679901736}},{"name":"Raydium","slug":"raydium","tag":"AMM (single-venue Trade API)","ms":{"p50":0,"p90":0,"p99":0,"mean":0},"successRate":0.0462963,"sampleSize":2.00069,"availability":"unavailable","unresponsive":true,"formula":"Avg of the 3 regional 24h median wallclock ms on Raydium's compute/swap-base-in for 100 USDC → <rotating token>, recorded only on success. Single-venue; no-route rate varies with the rotation, up to 100% (then it drops off the 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frontends builder revenue leaderboard","seoTitle":"Hyperliquid frontends: builder fees 2026","seoDescription":"Live USD revenue collected by every Hyperliquid frontend via the on-chain builder code. Ranked by 24h fees.","seoIntro":"This page answers one question. Which Hyperliquid frontend collected the most builder fee revenue in USD over the last 24 hours, 7 days and 30 days. Every Hyperliquid order can attach an optional on-chain builder field. Frontends like Phantom Perps, MetaMask, Rabby, Insilico, based.app, OneKey, Axiom and pvp.trade write their wallet address into this field on every fill they route, then collect a share of the taker fee as their own rebate (capped at 100 basis points on perps, 1000 on spot). The bench ranks 104 frontends by the dollar amount each one collected through this mechanism, surfacing the real revenue scale of the Hyperliquid frontend ecosystem rather than a percentage ratio that hides the actual numbers. Data comes from a local hl node operated on OCB infrastructure tailing the Hyperliquid mainnet fill stream. A Go harness reads every block of attributed fills, aggregates per-builder over rolling 24h, 7 day and 30 day windows in-memory, and exposes Prometheus gauges that this page consumes. End-to-end staleness from fill landing on-chain to page render is typically under one minute. Companion tabs surface volume routed, unique users, the trader perspective effective fee in basis points, and an outage detector.\n","disclaimer":"Ranking is by raw builder fee revenue in USD, not by value for users. Bigger number means more fees collected via the on-chain builder code field. For the trader cost perspective, switch to the Effective fee bps companion tab. Native Hyperliquid UI orders carry no builder code and are excluded. Data from a local hl node tailing every fill on mainnet.\n","faq":[{"q":"What does this benchmark measure?","a":"The USD value of builder fees each Hyperliquid frontend collected over rolling 24 hour, 7 day and 30 day windows. A builder fee is the optional rebate the frontend writes into the builder field on every Hyperliquid order it routes. The on-chain protocol caps this at 100 basis points on perps and 1000 on spot. The bench sums every fill's builderFee value attributed to a known frontend address and publishes the total per timeframe."},{"q":"Why USD revenue instead of effective fee in basis points?","a":"The previous version of this bench ranked frontends by effective fee in basis points, which answered the trader question of cost per dollar routed. The dollar revenue framing answers the operator question of size and revenue scale, the same way CoinMarketMan and ASXN dashboards present builder leaderboards. Both views are useful. The effective fee bps view is still available as a companion tab."},{"q":"Where does the data come from?","a":"A local hl node operated on OCB infrastructure tails the Hyperliquid mainnet. The node writes every block of fills to disk as one JSON line under node_fills_by_block hourly YYYYMMDD HH. A Go harness running on the same host reads these files continuously, parses each fill, and increments per-builder hourly aggregates. No third party API, no daily CSV bucket dependency, no internal Mobula service. Source code is in `miniapps/hyperliquid-frontends/local` in the open mobula api repo."},{"q":"How are the 7 day and 30 day numbers built?","a":"The harness keeps a small in-memory map of per-builder hourly buckets going back 30 days. Each bucket stores the sum of builderFee values and the sum of notional values for fills that landed in that hour. The 7 day figure is the sum of the recent 168 buckets, the 30 day figure is the sum of the recent 720 buckets. Memory footprint is about 350 KB total for all 104 tracked frontends. Buckets older than 30 days are dropped on every publish."},{"q":"How is the 24 hour figure built?","a":"Same hourly bucket logic, last 24 buckets. The harness also keeps a separate fill-level window for the 24h companions that require per fill granularity (unique users, taker share, slippage proxy)."},{"q":"Which frontends are tracked?","a":"104 Hyperliquid frontends with a known builder address. The cohort spans consumer wallets (Phantom Perps, MetaMask, Rabby, OneKey, Trust Wallet), pro terminals (Insilico, Axiom, Pear, Lit Trade), social and pvp UIs (pvp.trade, Senpi, FOMO), bots and signal apps (FlowBot, Tread fi, Moonbot, Hyperdash), based.app, defi.app and HIP-3 deployers. The registry is in `miniapps/hyperliquid-frontends/local/builders.json` on the open mobula api repo. New addresses ship via public PR."},{"q":"Why are some frontends at zero?","a":"Three reasons. The frontend stopped operating or hasn't routed any attributed fills in the window. The frontend never enabled the builder code attribution system. The frontend uses a builder address not yet in our registry. The Time since last fill companion separates these cases. A frontend with hours of inactivity is in the first bucket. A frontend with consistent zero across all timeframes is in the second or third."},{"q":"Why does Phantom Perps usually lead?","a":"Consumer wallets integrate Hyperliquid trading directly inside the wallet UI. Their effective fee is typically in the 5 to 10 basis point range and the user base is large. The combination of wide reach times a moderate fee produces the highest absolute revenue. Pro terminals sit below because they charge less per dollar routed by design, even though their notional volume is comparable."},{"q":"How often does the page refresh?","a":"Every 30 seconds. The harness re-reads the local hl node hourly file every 30 seconds and Prometheus scrapes the gauges on the same cadence. The page itself uses incremental static regeneration with a 60 second window, so headline values are at most 90 seconds stale plus chain propagation delay."},{"q":"Can I cite a value from this page?","a":"Yes. Every number is a Prometheus query exposed via the OCB API endpoints. The query string is visible in the row hover tooltip on the leaderboard. The harness source is open at the link in the source field below. Cite the value and the timestamp at the top of the page."}],"subtitle":"How much USD builder fee revenue each Hyperliquid frontend collected over the rolling 24h, 7 day and 30 day windows. Data from a local hl node tailing every fill on mainnet.","category":"Trading","status":"live","editorialStatus":"live","metric":"Builder fees collected (USD)","unit":"usd","higherIsBetter":true,"abstract":"The bench ranks 104 Hyperliquid frontends by the USD value of builder\nfees they collected over rolling 24 hour, 7 day and 30 day windows.\nSource data is a local hl node operated on OCB infrastructure that\nwrites every block of fills to disk as one JSON line. A Go harness\ntails these files, decodes each fill, and increments per-builder\nhourly buckets keyed by the UTC hour floor of the fill timestamp.\nAt publish time, the harness sums the recent 24, 168 and 720 hourly\nbuckets to compute the 24h, 7d and 30d revenue figures, exposes\nthem as Prometheus gauges (hl_frontend_fees_usd_24h_v2, _7d_v2,\n_30d_v2), and this page reads the gauges every 30 seconds. The\nregistry of tracked builder addresses lives at\n`miniapps/hyperliquid-frontends/local/builders.json` in the\nopen mobula api repo, currently 104 entries seeded from DefiLlama\ndimension adapters plus a behavioral cross reference pass on the\ntop unidentified addresses. New builders ship via public PR. The\nbench does not place trades, does not touch private keys, and does\nnot depend on any internal Mobula service.\n","methodology":["Data source. A local hl node operated on OCB infrastructure tails the Hyperliquid mainnet and writes every block of attributed fills to node_fills_by_block hourly YYYYMMDD HH on local disk. Each line is one JSON block, the events array carries one entry per fill, and every fill that opted into the builder code attribution system includes the builder address plus builderFee in USDC.","Cadence. The Go harness re-reads the current and previous hourly files every 30 seconds, parses appended lines, and updates per-builder hourly buckets keyed by the UTC hour floor of the fill timestamp. Prometheus scrapes the metrics every 30 seconds via a Caddy reverse proxy with basic auth. End-to-end staleness from fill landing on-chain to bench page render is typically under one minute.","Headline calculation. For each builder over the last 24 rolling hours, we sum the builderFee USD values of every attributed fill. The figure is the raw amount of USDC the frontend collected through the builder code field. The 7 day and 30 day figures sum the same field over the last 168 and 720 hourly buckets respectively, so the metric is consistent across the three ranges.","Window mechanics. The harness keeps a small in-memory hourly bucket map per-builder going back 30 days. Memory footprint is about 600 KB total for 104 builders. Older buckets are pruned on every publish. This is cheaper than keeping fill-level granularity for 30 days and lets the bench expose the three ranges without expanding the live fill window.","Volume companion. hl_frontend_volume_usd_24h_v2, _7d_v2 and _30d_v2 are computed the same way on the px times sz product of every fill. They feed the Volume tabs.","Users 24h. Count of unique wallet addresses that placed at least one attributed fill on this builder in the last 24 hours. Computed on the fill-level window, not the hourly buckets, because uniqueness requires the full set.","Effective fee bps companion. Volume weighted ratio computed as sum of builder fees divided by sum of notional, times ten thousand, over the rolling 24h window. Surfaces the trader perspective on cost. Volume share dashboards rank frontends by raw notional, this column ranks them by what a representative dollar of flow paid them.","Time since last fill. Seconds elapsed since this builder's most recent attributed fill. During active hours the cohort baseline runs under one minute, so anything above a few minutes is a real anomaly. Catches frontends whose routing pipeline is down and frontends that quietly stopped operating but still have their builder code in circulation.","Builder registry. `miniapps/hyperliquid-frontends/local/builders.json` is a hand-curated array of slug, name, address and notes for every tracked frontend, currently 104 entries. New addresses ship via public PR. Builder addresses outside the registry remain visible in the raw node stream but stay off the leaderboard until added.","Exclusions. Native Hyperliquid UI orders carry no builder code and are not user attributable by this method. Roughly 95 percent of Hyperliquid fills land without a builder field. The 5 percent that do are the frontend ecosystem this bench measures.","Reproducibility. Harness source at `miniapps/hyperliquid-frontends/local` in the mobula api repo, written in Go. Anyone running their own hl node can clone, point the data flag at their node_fills_by_block hourly root, run the binary against a Prometheus scraper, and reproduce these metrics.","Failures. Any read error on the hourly files leaves the previous gauge values in place. Hourly bucket pruning is idempotent. Restarts replay the warmup window from disk before going live tail."],"findings":["Phantom leads the leaderboard at $28.8K in builder fees collected over the last 24 hours.","Top 3 frontends typically capture the majority of attributed builder fee revenue on Hyperliquid mainnet on any given day.","Phantom sits at $28.8K on the 24h view, consistently among the largest revenue collectors thanks to consumer wallet integration.","MetaMask returns $23.4K on the 24h view, sustained by a high effective fee bps on a wallet integrated user base.","Insilico returns $6,299.86 on the 24h view. Pro terminal frontends sit a tier below consumer wallets in raw revenue because their lower effective fee leaves more on the trader side.","USD figures move with both volume and effective fee. A frontend can climb the leaderboard by routing more notional or by widening its fee, the bench surfaces both via companion tabs.","The 7 day and 30 day ranges smooth out promo cycles and one off campaigns. Use those for ranking stability, the 24h view for current activity."],"source":"https://github.com/ChainBench/OpenChainBench/tree/main/harnesses/hyperliquid-frontends","ledgerColumns":[{"label":"Revenue","slot":"p50","windows":{"7d":"revenue_7d","30d":"revenue_30d"}},{"label":"Volume","slot":"p90","windows":{"7d":"volume_7d","30d":"volume_30d"}},{"label":"Users","panel":"users","windows":{"7d":"users_7d","30d":"users_30d"}},{"label":"$ / user","slot":"p99"}],"results":[{"name":"Phantom","slug":"phantom-perps","tag":"Hyperliquid builder code, USD revenue captured over rolling 24h window","ms":{"p50":28840.2,"p90":50310000,"p99":9.16435,"mean":29211.3},"successRate":100,"sampleSize":28953,"query":"hl_frontend_fees_usd_24h_v2{builder=\"phantom-perps\"}","formula":"USD builder fees collected over the rolling 24h window, summed across every attributed fill on the local hl-node stream for Phantom's builder address.","availability":"live","meta":{"observedAt":1784679877484}},{"name":"Axiom","slug":"axiom","tag":"Hyperliquid builder code, USD revenue captured over rolling 24h window","ms":{"p50":592.02,"p90":5920210,"p99":2.60802,"mean":580.404},"successRate":100,"sampleSize":2580,"query":"hl_frontend_fees_usd_24h_v2{builder=\"axiom\"}","formula":"USD builder fees collected over the rolling 24h window, summed across every attributed fill on the local hl-node stream for Axiom's builder address.","availability":"live","meta":{"observedAt":1784679877484}},{"name":"pvp.trade","slug":"pvp-trade","tag":"Hyperliquid builder code, USD revenue captured over rolling 24h window","ms":{"p50":1182.73,"p90":3713370,"p99":28.847,"mean":431.78},"successRate":100,"sampleSize":483,"query":"hl_frontend_fees_usd_24h_v2{builder=\"pvp-trade\"}","formula":"USD builder fees collected over the rolling 24h window, summed across every attributed fill on the local hl-node stream for pvp.trade's builder address.","availability":"live","meta":{"observedAt":1784679877484}},{"name":"Insilico","slug":"insilico","tag":"Hyperliquid builder code, USD revenue captured over rolling 24h window","ms":{"p50":6299.86,"p90":63042800,"p99":27.2721,"mean":7304.78},"successRate":100,"sampleSize":21025,"query":"hl_frontend_fees_usd_24h_v2{builder=\"insilico\"}","formula":"USD builder fees collected over the rolling 24h window, summed across every attributed fill on the local hl-node stream for Insilico's builder address.","availability":"live","meta":{"observedAt":1784679877484}},{"name":"defi.app","slug":"defiapp","tag":"Hyperliquid builder code, USD revenue captured over rolling 24h window","ms":{"p50":387.564,"p90":775629,"p99":7.75129,"mean":177.127},"successRate":100,"sampleSize":474,"query":"hl_frontend_fees_usd_24h_v2{builder=\"defiapp\"}","formula":"USD builder fees collected over the rolling 24h window, summed across every attributed fill on the local hl-node stream for Defiapp's builder address.","availability":"live","meta":{"observedAt":1784679877484}},{"name":"MetaMask","slug":"metamask","tag":"Hyperliquid builder code, USD revenue captured over rolling 24h window","ms":{"p50":23420,"p90":25820600,"p99":17.9052,"mean":22292.1},"successRate":100,"sampleSize":13522,"query":"hl_frontend_fees_usd_24h_v2{builder=\"metamask\"}","formula":"USD builder fees collected over the rolling 24h window, summed across every attributed fill on the local hl-node stream for MetaMask's builder address.","availability":"live","meta":{"observedAt":1784679877484}},{"name":"Dexari","slug":"dexari","tag":"Hyperliquid builder code, USD revenue captured over rolling 24h window","ms":{"p50":63.3044,"p90":71289.6,"p99":3.16522,"mean":57.6756},"successRate":100,"sampleSize":130,"query":"hl_frontend_fees_usd_24h_v2{builder=\"dexari\"}","formula":"USD builder fees collected over the rolling 24h window, summed across every attributed fill on the local hl-node stream for Dexari's builder address.","availability":"live","meta":{"observedAt":1784679877484}},{"name":"Okto","slug":"okto","tag":"Hyperliquid builder code, USD revenue captured over rolling 24h window","ms":{"p50":10.2025,"p90":55987.9,"p99":0.536974,"mean":7.98401},"successRate":100,"sampleSize":57,"query":"hl_frontend_fees_usd_24h_v2{builder=\"okto\"}","formula":"USD builder fees collected over the rolling 24h window, summed across every attributed fill on the local hl-node stream for Okto's builder address.","availability":"live","meta":{"observedAt":1784679877484}},{"name":"Trust Wallet","slug":"trust-wallet","tag":"Hyperliquid builder code, USD revenue captured over rolling 24h window","ms":{"p50":365.941,"p90":36594700,"p99":0.38683,"mean":326.079},"successRate":100,"sampleSize":12405,"query":"hl_frontend_fees_usd_24h_v2{builder=\"trust-wallet\"}","formula":"USD builder fees collected over the rolling 24h window, summed across every attributed fill on the local hl-node stream for Trust Wallet's builder address.","availability":"live","meta":{"observedAt":1784679877484}},{"name":"Sushi","slug":"sushi","tag":"Hyperliquid builder code, USD revenue captured over rolling 24h window","ms":{"p50":2418.06,"p90":4030100,"p99":483.612,"mean":3211.52},"successRate":100,"sampleSize":214,"query":"hl_frontend_fees_usd_24h_v2{builder=\"sushi\"}","formula":"USD builder fees collected over the rolling 24h window, summed across every attributed fill on the local hl-node stream for Sushi's builder address.","availability":"live","meta":{"observedAt":1784679877484}},{"name":"Dreamcash","slug":"dreamcash","tag":"Hyperliquid builder code, USD revenue captured over rolling 24h window","ms":{"p50":744.919,"p90":1918720,"p99":2.74878,"mean":681.01},"successRate":100,"sampleSize":2475,"query":"hl_frontend_fees_usd_24h_v2{builder=\"dreamcash\"}","formula":"USD builder fees collected over the rolling 24h window, summed across every attributed fill on the local hl-node stream for Dreamcash's builder address.","availability":"live","meta":{"observedAt":1784679877484}},{"name":"based.app","slug":"based-app","tag":"Hyperliquid builder code, USD revenue captured over rolling 24h window","ms":{"p50":1113.32,"p90":7612330,"p99":3.25532,"mean":755.576},"successRate":100,"sampleSize":3660,"query":"hl_frontend_fees_usd_24h_v2{builder=\"based-app\"}","formula":"USD builder fees collected over the rolling 24h window, summed across every attributed fill on the local hl-node stream for Based's builder address.","availability":"live","meta":{"observedAt":1784679877484}},{"name":"Blink","slug":"blink","tag":"Hyperliquid builder code, USD revenue captured over rolling 24h window","ms":{"p50":0,"p90":0,"p99":0,"mean":0},"successRate":100,"sampleSize":0,"query":"hl_frontend_fees_usd_24h_v2{builder=\"blink\"}","formula":"USD builder fees collected over the rolling 24h window, summed across every attributed fill on the local hl-node stream for Blink's builder address.","availability":"live","meta":{"observedAt":1784679877484}},{"name":"Perpmate","slug":"perpmate","tag":"Hyperliquid builder code, USD revenue captured over rolling 24h window","ms":{"p50":0,"p90":0,"p99":0,"mean":0.137414},"successRate":100,"sampleSize":0,"query":"hl_frontend_fees_usd_24h_v2{builder=\"perpmate\"}","formula":"USD builder fees collected over the rolling 24h window, summed across every attributed fill on the local hl-node stream for Perpmate's builder address.","availability":"live","meta":{"observedAt":1784679877484}},{"name":"Arena","slug":"arena","tag":"Hyperliquid builder code, USD revenue captured over rolling 24h window","ms":{"p50":68.61,"p90":68610,"p99":5.27769,"mean":73.6143},"successRate":100,"sampleSize":80,"query":"hl_frontend_fees_usd_24h_v2{builder=\"arena\"}","formula":"USD builder fees collected over the rolling 24h window, summed across every attributed fill on the local hl-node stream for Arena's builder 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Fees divided by notional volume times 10000. 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blockchain transaction fee, live across 15 L1 and L2 chains","seoTitle":"Cheapest crypto transaction fee 2026","seoDescription":"Cheapest blockchain transaction fee in USD live across 15 chains. Solana, Base, Robinhood Chain, Arbitrum, BNB ranked.","seoIntro":"This page answers one question. How much does it cost in dollars to send one transaction on each major blockchain right now. We track 14 chains in parallel and refresh the number every 30 seconds. The eight Layer 1 chains are Ethereum, Solana, BNB Chain, TRON, Cardano, Sui, Litecoin and Monero. The six Layer 2 rollups are Arbitrum, Base, zkSync Era, Linea, Mantle and Taiko. For every chain we query its own fee market directly (eth_feeHistory for the EVM family, getRecentPrioritizationFees on Solana, koios epoch params on Cardano, get_fee_estimate on Monero, the mempool oracle on Litecoin, getChainParameters on TRON, suix_getReferenceGasPrice on Sui), convert the result to the smallest native unit, then multiply by the live USD price of the chain's native token from Mobula. The output is the actual dollar amount a wallet user pays today. No gwei to lamport conversion, no marketing claim. Compare Ethereum gas now versus Solana fee in USD, see whether Arbitrum is still cheaper than Base today, find out which Layer 1 has the lowest transaction cost this minute.\n","faq":[{"q":"What does this benchmark measure?","a":"The USD cost of one native token transaction on each of the 14 tracked chains, refreshed every 30 seconds. A native transaction is the simplest action on a chain. Send ETH on Ethereum, SOL on Solana, ADA on Cardano, TRX on TRON, and so on. We do not yet measure ERC 20 transfers, DEX swaps or smart contract deployments. Those will ship as companion metrics in a later phase."},{"q":"Which chains are tracked?","a":"Eight Layer 1 chains on the L1 tab. Ethereum, Solana, BNB Chain, TRON, Cardano, Sui, Litecoin and Monero. Six Layer 2 rollups on the L2 tab. Arbitrum, Base, zkSync Era, Linea, Mantle and Taiko. The list matches the L1 finality and L2 block time benches so you can read cost and speed side by side."},{"q":"Why USD instead of gas price in gwei?","a":"Gas price in gwei on Ethereum cannot be compared to lamports per compute unit on Solana or sun per byte on TRON. The only honest cross chain unit is the dollar cost of a user facing action, computed at scrape time using a live USD price for each native token. Mobula's market API delivers the prices we multiply by."},{"q":"What do slow, standard and fast tiers mean?","a":"Tiers exist on chains with a priority market where users can pay more for faster inclusion. Slow targets the 25th percentile of recent priority bids, standard the 50th, fast the 90th. Chains with deterministic or near deterministic fees (Cardano, TRON native transfer) emit a single tier because there is no priority market to bid into."},{"q":"Why is the Solana fee so low?","a":"Solana charges 5000 lamports per signature as a hard base, plus an optional priority fee priced in micro lamports per compute unit. A simple SOL transfer uses around 200 compute units, so the priority component is typically dwarfed by the base. At current SOL prices the headline fee sits well under one cent on non congested blocks."},{"q":"Why is the Cardano fee always similar?","a":"Cardano fees are deterministic. The protocol parameters min_fee_a per byte and min_fee_b base are set by governance and updated rarely. A standard ADA transaction is roughly 250 bytes, so the lovelace cost is essentially fixed until the next parameter vote. The USD figure on the leaderboard only moves because ADA's USD price moves."},{"q":"Are the L2 numbers complete?","a":"Not yet. The figure for each Layer 2 reflects L2 execution cost only (the wallet visible gas price times 21000 gas times the ETH price). The L1 data posting fee (blob market for EIP 4844 rollups like Arbitrum and Base after Dencun, calldata for the rest) is a separate component that varies block to block and is currently excluded. A blended total cost figure will ship in a later phase. For now use the L1 view for true wallet cost comparison, and read the L2 view as the execution component only."},{"q":"Which Layer 1 chain has the cheapest transaction fee right now?","a":"Open the page. The leaderboard refreshes every 30 seconds and is sorted by cost. As a general pattern, Litecoin, Solana and BNB Chain cluster below one cent, Ethereum and Cardano around one to five cents, and TRON and Monero in the ten cent range. Sui sits in the sub cent range. Exact ordering depends on congestion and native token price at the moment of read."},{"q":"How often does the page refresh?","a":"Every 30 seconds. The harness re queries each chain's fee oracle and Mobula's price API on the same cadence, so headline values are at most 30 seconds stale plus chain RPC latency (typically under one second)."},{"q":"Why are some chains showing one tier instead of three?","a":"Cardano fees are protocol deterministic. TRON native transfers consume bandwidth at the published rate per byte. Neither chain exposes a priority market a user can bid into for a TRX or ADA transfer, so emitting a single tier is more honest than fabricating three identical values."},{"q":"Can I cite a value from this page?","a":"Yes. Every number is a Prometheus query over a 24h window. The query string is shown in the row's hover tooltip. The harness source is open at the link in the source field below. Cite the value and the timestamp at the top of the page."}],"perChainExplainer":[{"slug":"ethereum","h2":"Ethereum transaction fee","body":"Ethereum native transfer fee is $0.00613 (p50, 24h). Fees follow EIP-1559: the base fee adjusts by up to 12.5 percent per block from the previous block's gas usage, plus a priority tip set by the user; a plain ETH transfer is 21000 gas. During congested periods (NFT mints, MEV bursts) standard transfers can cost several dollars, while quiet weekends drop the median under 20 cents. Computed as (base + p50 priority) times 21000 gas times live ETH price.\n"},{"slug":"bnb","h2":"BNB Chain transaction fee","body":"BNB Chain native transfer fee is $0.000649 (p50, 24h). BNB Smart Chain runs a Parlia PoSA consensus with 21 active validators and a fixed 3 s block; fee market is EIP-1559-style but the base fee has historically hovered near a 1 gwei floor enforced by validators, which is why a native BNB transfer typically stays under one cent. Computed as (base + p50 priority) times 21000 gas times live BNB price.\n"},{"slug":"solana","h2":"Solana transaction fee","body":"Solana native transfer fee is $0.000390 (p50, 24h). Solana charges a hard 5000 lamports per signature base, plus an optional priority fee priced in micro-lamports per compute unit; a SOL transfer consumes around 200 CUs, so the priority component is usually dwarfed by the base. At current SOL prices the headline fee sits well under one cent on non-congested blocks. Measured via `getRecentPrioritizationFees` percentiles.\n"},{"slug":"tron","h2":"TRON transaction fee","body":"TRON native transfer fee is $0.0937 (p50, 24h). TRON uses a bandwidth and energy resource model rather than a gas auction: a TRX transfer is roughly 268 bytes, billed at the published bandwidth rate (currently 1000 sun per byte via `getChainParameters`), and free if the sender has enough free daily bandwidth or staked TRX. The single-tier figure reflects the on-chain rate parameter times typical transfer size times TRX price.\n"},{"slug":"cardano","h2":"Cardano transaction fee","body":"Cardano native transfer fee is $0.0289 (p50, 24h). Cardano fees are protocol-deterministic: min_fee_a per byte plus a flat min_fee_b base, both set by governance and updated rarely; a typical ADA transfer is ~250 bytes, so the lovelace cost is essentially fixed until the next parameter vote. The USD figure only moves because ADA price moves. Computed from live koios epoch_params times 250 bytes times ADA price.\n"},{"slug":"sui","h2":"Sui transaction fee","body":"Sui native transfer fee is $0.00584 (p50, 24h). Sui uses a reference-gas-price model where validators agree on a per-epoch gas price via DPoS auction; a `Coin::transfer` consumes around 76000 computation units, so the per-transfer cost stays in the sub-cent range even on busy epochs. Sui has separate computation and storage fees, with the latter rebated when objects are deleted. Computed via `suix_getReferenceGasPrice` times 76000 gas times SUI price.\n"},{"slug":"litecoin","h2":"Litecoin transaction fee","body":"Litecoin native transfer fee is $0.000107 (p50, 24h). Litecoin inherits Bitcoin's UTXO fee market priced in litoshi per virtual byte; a SegWit P2WPKH single-input single-output transfer is around 225 vBytes, so even at fastest-tier mempool rates the headline cost stays in the low-cent range, an order of magnitude under Bitcoin. Computed from litecoinspace.org recommended fee tiers times 225 vBytes times live LTC price.\n"},{"slug":"monero","h2":"Monero transaction fee","body":"Monero native transfer fee is $0.0416 (p50, 24h). Monero uses RingCT transactions with a dynamic block-size penalty: a 1-input 2-output transfer is roughly 1500 bytes, and the per-byte rate from `get_fee_estimate` rises sharply when miners are filling blocks above the median size. The fee covers both anonymity-set inflation and ring-signature footprint, which is why XMR fees sit above most L1s. Computed via the daemon's three-tier `get_fee_estimate` times 1500 bytes times XMR price.\n"},{"slug":"arbitrum","h2":"Arbitrum transaction fee","body":"Arbitrum One native transfer fee is $0.000813 (p50, 24h). Arbitrum Nitro runs an EIP-1559 fee market against the sequencer at sub-second cadence; native ETH transfers are 21000 gas and sit at fractions of a cent because the sequencer's priority fee is near-zero by design. The L1 data-posting component (Ethereum blobs since Dencun) is not yet included in this figure, only L2 execution cost. Computed via `eth_feeHistory` on the Arbitrum sequencer RPC times live ETH price.\n"},{"slug":"robinhood","h2":"Robinhood Chain transaction fee","body":"Robinhood Chain native transfer fee is $0.00240 (p50, 24h). Robinhood's Arbitrum Orbit rollup posts a very low base fee (~0.05 gwei) and zero priority rewards, the typical Orbit pattern where the centralized sequencer needs no tip market; ETH is the gas asset and the L1 blob-posting cost is excluded from this figure like every other L2 on this page. Computed via `eth_feeHistory` on the official sequencer RPC times live ETH price.\n"},{"slug":"base","h2":"Base transaction fee","body":"Base native transfer fee is $0.000245 (p50, 24h). Base is Coinbase's OP Stack rollup with a priority-fee-near-zero pattern; native ETH transfers settle at fractions of a cent on L2 execution alone. Base posts batches to Ethereum via EIP-4844 blobs, and the L1 data fee (not in this figure) tracks the blob fee market. Computed via `eth_feeHistory` on the Base sequencer RPC times live ETH price.\n"},{"slug":"zksync","h2":"zkSync Era transaction fee","body":"zkSync Era native transfer fee is $0.00183 (p50, 24h). zkSync Era uses a custom fee model where the gas figure bundles execution, pubdata and prover cost into a single price published by the sequencer; native ETH transfers cost more than OP Stack chains because prover work is amortized into the per-transaction fee rather than billed separately at batch time. Computed via `eth_feeHistory` on the zkSync sequencer RPC.\n"},{"slug":"linea","h2":"Linea transaction fee","body":"Linea native transfer fee is $0.0101 (p50, 24h). Linea is the Consensys zkEVM and exposes a standard EIP-1559 fee surface to wallets; the sequencer's posted base fee tracks zk-prover-batch economics rather than mempool congestion, so native ETH transfers sit in the sub-cent range even when Ethereum L1 is congested. L1 data-posting cost (blob calldata) is excluded from this figure. Computed via `eth_feeHistory` on the Linea sequencer RPC.\n"},{"slug":"mantle","h2":"Mantle transaction fee","body":"Mantle native transfer fee is $0.000451 (p50, 24h). Mantle is an OP Stack fork that uses EigenDA for data availability instead of Ethereum blob calldata, which lowers the L1-posting component substantially; the L2 fee market still follows EIP-1559 against a centralized sequencer, and native ETH transfers sit in the sub-cent range. Computed via `eth_feeHistory` on the Mantle sequencer RPC times live ETH price.\n"},{"slug":"taiko","h2":"Taiko transaction fee","body":"Taiko native transfer fee is $0.000354 (p50, 24h). Taiko is a based rollup sequenced by Ethereum L1 validators, so its block cadence is bounded by Ethereum's 12 s slot and its fee market reflects the L1 priority surface; native ETH transfers cost slightly more than OP Stack peers because there is no separate cheap L2 sequencer pricing. Computed via `eth_feeHistory` on the Taiko RPC times live ETH price.\n"}],"subtitle":"Live USD cost of one native token transaction on 15 Layer 1 and Layer 2 chains, refreshed every 30 seconds.","category":"Blockchains","status":"live","editorialStatus":"live","metric":"Native transfer fee USD","unit":"usd","higherIsBetter":false,"abstract":"Every 30 seconds we ask each of 14 chains for its current native\ntransaction fee in the chain's smallest unit (wei, lamport, lovelace,\nsun, MIST, litoshi, atomic), multiply by the live USD price of the\nchain's native token from Mobula's market API and publish the\nresult. Chains with a priority market expose three tiers (slow,\nstandard, fast) mapped to roughly the 25th, 50th and 90th percentile\nof the recent fee distribution. Deterministic fee chains emit a\nsingle tier. The eight Layer 1 chains mirror the L1 finality bench\nso users can compare cost and speed side by side. The six Layer 2\nrollups add the layer dimension so a wallet routing decision can be\nmade on real data instead of marketing claims.\n","methodology":["Refresh cadence. 30 seconds. One process samples all 14 chains in parallel goroutines.","Ethereum and BNB Chain on the L1 tab. eth_feeHistory over the last 4 blocks at percentiles 25, 50 and 90. Cost = (base_fee + reward_percentile) * 21000 gas, mapped to slow, standard and fast.","Arbitrum, Base, zkSync Era, Linea, Mantle and Taiko on the L2 tab. Same eth_feeHistory flow against each rollup's sequencer RPC. ETH is the native gas asset on every tracked rollup except Mantle, which prices gas in MNT.","Layer 2 caveat. The published figure is L2 execution cost only. The L1 data posting fee (blob market for EIP 4844 rollups, calldata for the rest) is excluded from this page and will be added as a separate blended figure in a later phase. On OP Stack rollups the L1 data fee can dominate the wallet visible total during expensive blob periods.","Solana. getRecentPrioritizationFees percentiles 25, 50 and 90 of micro lamports per compute unit, times 200 compute units, plus 5000 lamports base. Empty fees response collapses to a single standard tier at the 5000 base.","TRON. getChainParameters.getTransactionFee (currently 1000 sun per byte) times 268 bytes for a typical native transfer. Single tier because TRON native transfers do not bid into a priority market.","Cardano. koios epoch_params.min_fee_a and min_fee_b, times 250 bytes for a typical native transfer. Deterministic by protocol, refreshes only when on chain parameters change.","Sui. suix_getReferenceGasPrice times 76000 gas (typical observed for a Coin::transfer call). Single standard tier.","Litecoin. litecoinspace.org /api/v1/fees/recommended (hour, half hour and fastest fees in litoshi per vByte) times 225 vBytes for a typical 1 input 1 output P2WPKH transfer.","Monero. monero rpc get_fee_estimate.fees[0..2] times 1500 bytes for a typical 1 input 2 output RingCT transaction.","USD prices. api.mobula.io/api/1/market/multi-data polled every 30 seconds for all 14 native tokens in one call.","Failures. Any upstream error leaves the previous gauge in place, increments tx_fee_fetch_errors_total{chain, error_type}, and sets tx_fee_health{chain} to zero."],"findings":["Litecoin is the cheapest tracked native transaction at $0.000107 over the last 24 hours.","Ethereum sits at $0.00613 (standard tier, 24h median), the most expensive Layer 1 transaction on the leaderboard during normal congestion.","BNB Chain, Solana and Litecoin cluster near or below one cent for a standard transaction.","Cardano, TRON and Monero use deterministic or near deterministic fee models. The USD figure on the leaderboard moves with native token price, not with network congestion.","USD costs are computed at scrape time. A 10 percent intraday move in the native token's USD price shifts the headline by 10 percent even if the chain native fee is flat. We surface that intentionally because the dollar cost is what a wallet user actually pays.","Layer 2 values currently capture L2 execution only. The L1 data posting component is excluded until the blended figure ships in a follow up phase."],"source":"https://github.com/ChainBench/OpenChainBench/tree/main/harnesses/transaction-fee","results":[{"name":"Ethereum","slug":"ethereum","tag":"EIP 1559 fee market, 21000 gas × (base + p50 priority)","layer":"l1","ms":{"p50":0.00613106,"p90":0.0773543,"p99":0.332292,"mean":0.00728609},"successRate":100,"query":"quantile_over_time(0.50, tx_fee_native_transfer_usd{chain=\"ethereum\",tier=\"std\"}[24h])","formula":"Median USD cost of a native ETH transfer over 24h: (base_fee + p50 priority_fee) × 21000 gas × ETH USD price.","availability":"live","meta":{"observedAt":1784679882083}},{"name":"BNB Chain","slug":"bnb","tag":"EIP 1559 fee market, 21000 gas","layer":"l1","ms":{"p50":0.000648509,"p90":0.00159371,"p99":0.00590356,"mean":0.000653532},"successRate":99.9826,"query":"quantile_over_time(0.50, tx_fee_native_transfer_usd{chain=\"bnb\",tier=\"std\"}[24h])","formula":"Median USD cost of a native BNB transfer over 24h.","availability":"live","meta":{"observedAt":1784679882083}},{"name":"Solana","slug":"solana","tag":"5000 lamport base + getRecentPrioritizationFees × 200 CU","layer":"l1","ms":{"p50":0.000390498,"p90":0.000390081,"p99":0.000390644,"mean":0.000390649},"successRate":100,"query":"quantile_over_time(0.50, tx_fee_native_transfer_usd{chain=\"solana\",tier=\"std\"}[24h])","formula":"Median USD cost of a native SOL transfer over 24h: 5000 lamports + p50 priority × 200 CU × SOL USD price.","availability":"live","meta":{"observedAt":1784679882083}},{"name":"TRON","slug":"tron","tag":"Bandwidth model, 268 bytes × getTransactionFee SUN/byte","layer":"l1","ms":{"p50":0.0937461,"p90":0.0937461,"p99":0.0937461,"mean":0.0934074},"successRate":100,"query":"quantile_over_time(0.50, tx_fee_native_transfer_usd{chain=\"tron\",tier=\"single\"}[24h])","formula":"Deterministic USD cost of a native TRX transfer using the bandwidth rate parameter × 268 bytes typical transfer × TRX USD price.","availability":"live","meta":{"observedAt":1784679882083}},{"name":"Cardano","slug":"cardano","tag":"min_fee_b plus size times min_fee_a, deterministic","layer":"l1","ms":{"p50":0.0289278,"p90":0.0292647,"p99":0.029401,"mean":0.0289268},"successRate":100,"query":"quantile_over_time(0.50, tx_fee_native_transfer_usd{chain=\"cardano\",tier=\"single\"}[24h])","formula":"Protocol deterministic ADA transfer cost: koios live min_fee_a/b × 250 bytes typical × ADA USD price.","availability":"live","meta":{"observedAt":1784679882083}},{"name":"Sui","slug":"sui","tag":"suix_getReferenceGasPrice × 76000 gas budget","layer":"l1","ms":{"p50":0.00583821,"p90":0.00587812,"p99":0.00589998,"mean":0.00584104},"successRate":100,"query":"quantile_over_time(0.50, tx_fee_native_transfer_usd{chain=\"sui\",tier=\"std\"}[24h])","formula":"USD cost of a native SUI transfer: live reference gas price × 76000 gas × SUI USD price.","availability":"live","meta":{"observedAt":1784679882083}},{"name":"Litecoin","slug":"litecoin","tag":"litecoinspace fee oracle × 225 vBytes","layer":"l1","ms":{"p50":0.000106718,"p90":0.000107362,"p99":0.000107794,"mean":0.000106592},"successRate":99.9653,"query":"quantile_over_time(0.50, tx_fee_native_transfer_usd{chain=\"litecoin\",tier=\"std\"}[24h])","formula":"Mempool based litoshi per vByte × 225 vBytes typical P2WPKH transfer × LTC USD price.","availability":"live","meta":{"observedAt":1784679882083}},{"name":"Monero","slug":"monero","tag":"get_fee_estimate × 1500 bytes RingCT","layer":"l1","ms":{"p50":0.0415673,"p90":0.169532,"p99":0.171453,"mean":0.0415377},"successRate":99.9653,"query":"quantile_over_time(0.50, tx_fee_native_transfer_usd{chain=\"monero\",tier=\"std\"}[24h])","formula":"Monero rpc fee per byte times 1500 bytes typical 1 input 2 output RingCT times XMR USD price.","availability":"live","meta":{"observedAt":1784679882083}},{"name":"Arbitrum One","slug":"arbitrum","tag":"Optimistic rollup Nitro, 21000 gas","layer":"l2","ms":{"p50":0.00081257,"p90":0.00081972,"p99":0.000835511,"mean":0.000813309},"successRate":100,"query":"quantile_over_time(0.50, tx_fee_native_transfer_usd{chain=\"arbitrum\",tier=\"std\"}[24h])","formula":"Median USD cost of a native ETH transfer on Arbitrum One over 24h. L2 execution cost only, L1 data posting fee excluded for now.","availability":"live","meta":{"observedAt":1784679882083}},{"name":"Robinhood Chain","slug":"robinhood","tag":"Arbitrum Orbit rollup Robinhood, 21000 gas","layer":"l2","ms":{"p50":0.00239592,"p90":0.00290545,"p99":0.00303809,"mean":0.00252886},"successRate":100,"query":"quantile_over_time(0.50, tx_fee_native_transfer_usd{chain=\"robinhood\",tier=\"std\"}[24h])","formula":"Median USD cost of a native ETH transfer on Robinhood Chain over 24h. L2 execution cost only, L1 data posting fee excluded for now.","availability":"live","meta":{"observedAt":1784679882083}},{"name":"Base","slug":"base","tag":"OP Stack optimistic rollup Coinbase, 21000 gas","layer":"l2","ms":{"p50":0.000244579,"p90":0.00127531,"p99":0.00323449,"mean":0.000247105},"successRate":100,"query":"quantile_over_time(0.50, tx_fee_native_transfer_usd{chain=\"base\",tier=\"std\"}[24h])","formula":"Median USD cost of a native ETH transfer on Base over 24h. L2 execution cost only, L1 data posting fee excluded for now.","availability":"live","meta":{"observedAt":1784679882083}},{"name":"zkSync Era","slug":"zksync","tag":"ZK rollup, 21000 gas","layer":"l2","ms":{"p50":0.00182925,"p90":0.00184299,"p99":0.00184666,"mean":0.00183098},"successRate":100,"query":"quantile_over_time(0.50, tx_fee_native_transfer_usd{chain=\"zksync\",tier=\"std\"}[24h])","formula":"Median USD cost of a native ETH transfer on zkSync Era over 24h. L2 execution cost only, L1 data posting fee excluded for now.","availability":"live","meta":{"observedAt":1784679882083}},{"name":"Linea","slug":"linea","tag":"ZK rollup Stark, 21000 gas","layer":"l2","ms":{"p50":0.0100726,"p90":0.0227362,"p99":0.03837,"mean":0.0105022},"successRate":100,"query":"quantile_over_time(0.50, tx_fee_native_transfer_usd{chain=\"linea\",tier=\"std\"}[24h])","formula":"Median USD cost of a native ETH transfer on Linea over 24h. L2 execution cost only, L1 data posting fee excluded for now.","availability":"live","meta":{"observedAt":1784679882083}},{"name":"Mantle","slug":"mantle","tag":"OP Stack optimistic rollup Mantle, 21000 gas","layer":"l2","ms":{"p50":0.000451362,"p90":0.000508087,"p99":0.000963357,"mean":0.000479381},"successRate":100,"query":"quantile_over_time(0.50, tx_fee_native_transfer_usd{chain=\"mantle\",tier=\"std\"}[24h])","formula":"Median USD cost of a native ETH transfer on Mantle over 24h. L2 execution cost only, L1 data posting fee excluded for now.","availability":"live","meta":{"observedAt":1784679882083}},{"name":"Taiko","slug":"taiko","tag":"Based rollup, 21000 gas","layer":"l2","ms":{"p50":0.000354417,"p90":0.000476313,"p99":0.00160472,"mean":0.000417995},"successRate":100,"query":"quantile_over_time(0.50, tx_fee_native_transfer_usd{chain=\"taiko\",tier=\"std\"}[24h])","formula":"Median USD cost of a native ETH transfer on Taiko over 24h. L2 execution cost only, L1 data posting fee excluded for 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prediction market data API, live freshness across venues","seoTitle":"Fastest prediction market data API 2026","seoDescription":"Fastest prediction market data API ranked live across Polymarket and Kalshi. Milliseconds Mobula and Codex lag the venue gateway publish on top markets.","seoIntro":"Prediction markets generate the most time sensitive event stream in crypto.\nAn election market settles in seconds, a sports book moves on every play.\nBuilders that integrate Polymarket or Kalshi through a data provider\nrather than hitting each venue directly need to know how many\nmilliseconds that provider adds between when the venue itself publishes\na trade and when the provider relays the same trade to its WebSocket\nsubscribers. This benchmark measures exactly that. The harness\nsubscribes to the same basket of top volume markets on each venue's own\ncanonical source (T0), on Mobula's PM WebSocket, and on Codex GraphQL\nsubscriptions. Each trade is cross correlated across the streams, and\nthe per provider lag versus the venue gateway publish time is recorded\nas a Prometheus histogram. The leaderboard sorts by p50 freshness delta\nin milliseconds, lower is better. Use the venue tab at the top of the\npage to switch between Polymarket and Kalshi.\n","faq":[{"q":"Which prediction market data API has the lowest latency right now?","a":"Polymarket currently leads at 0.5 ms (p50 over the last 24h) measured as time from the venue's own canonical WebSocket publish to provider relay. The leaderboard re sorts every minute on fresh Prometheus samples, so the answer reflects the actual measured lag on the active market basket, not a marketing claim. Switch the venue tab at the top to see Polymarket vs Kalshi independently."},{"q":"What does 'freshness delta' mean for a prediction market API?","a":"We connect to the venue's own canonical WebSocket and to the provider's WebSocket simultaneously, subscribe to the same markets, and for every trade event we record how many milliseconds the provider takes to relay the event after the venue itself publishes it. Lower is better. The venue's own gateway publish time is the canonical T0 because by construction nothing downstream can be faster than the source."},{"q":"Is Mobula's PM WebSocket faster than Codex?","a":"When the Polymarket tab is selected, it depends on what each provider does under the hood. {{name:mobula}} is an edge cached relay of Polymarket's own gateway, so the p50 delta is roughly the network round trip between the two gateways plus a few ms of bookkeeping. Codex ingests the on chain confirmation on Polygon, which adds the block time (~2 seconds) before any trade can be relayed. For a live UI building on Polymarket, the relay path wins on freshness. For on chain reconciliation or settlement workflows, the chain indexed path is what you actually want. On the Kalshi tab the comparison does not apply yet because Mobula does not cover Kalshi."},{"q":"Why don't you include Polymarket REST polling on this benchmark?","a":"When the Polymarket tab is selected, freshness is a WebSocket question. REST polling at 1s would have a floor freshness around 500ms (poll interval / 2) plus RTT, dominated by how often you poll. The Polymarket gateway WebSocket exists for exactly this reason, to avoid that floor. Adding REST as a row would make the leaderboard noisy without changing the conclusion: WebSocket beats polling by definition for real time data."},{"q":"Why is only Codex shown on the Kalshi tab?","a":"Because Mobula's PM API does not cover Kalshi venue data today. The Kalshi tab compares Codex against the Kalshi T0 source only. Mobula coverage of Kalshi is on the roadmap; when it ships the same provider will appear on both tabs and the comparison becomes apples to apples again."},{"q":"What does the Kalshi T0 source measure?","a":"Kalshi's own public WebSocket at `wss://external-api-ws.kalshi.com/trade-api/ws/v2`, channel `trade`. The harness reads the `msg.ts_ms` field of each fill as the canonical publish timestamp and uses it as T0 for every Kalshi side comparison. Just like Polymarket's CLOB WebSocket on the Polymarket tab, it is the source against which provider latency is measured."},{"q":"Are these numbers comparable to Kalshi or Limitless?","a":"Kalshi is now its own tab on this page, click the Venue selector at the top to switch. Each venue uses its own canonical WebSocket as T0, so the absolute numbers are not directly comparable across tabs (different gateways, different network paths), but the relative provider ordering within each tab is honest. Limitless is not yet covered, we will add a tab if and when meaningful provider coverage exists for it."},{"q":"How does OpenChainBench measure freshness?","a":"Three WebSocket clients run in parallel inside the harness, all subscribed to the same basket of top volume markets on the active venue. Every 5 minutes we refresh the basket from the venue's own markets API. For each trade event, we compute a signature based on market id, price, size and a 5 second time bucket, and record the wall clock receive time on each provider. The freshness delta is `recv_provider - recv_venue` for the same signature. We export the histogram to Prometheus, the leaderboard reads the 24h p50."}],"subtitle":"Per event delay between provider arrival and the venue gateway publish, measured every minute on the top markets by 24 hour volume across Polymarket and Kalshi.","category":"Aggregators","status":"live","editorialStatus":"live","metric":"Freshness delta vs venue","unit":"ms","higherIsBetter":false,"abstract":"Three WebSocket subscribers ride the same rotating basket of ~20 top\nvolume markets simultaneously on each venue. For every trade event\npublished on the venue's own canonical WebSocket gateway (the T0), we\nrecord the moment it lands and the moment each provider relays the\nsame trade. The signature used to match a trade across providers is a\ntuple based on the market identifier, price and size of the fill, and\na small time bucket, which is robust against the minor clock skew\nbetween gateways. Providers that fail to relay a trade within 90\nseconds are not counted toward their p50, only toward their receive\ntotal, so a provider can look fresh on the leaderboard while silently\ndropping events. The success rate column flags that. Coverage today:\nMobula and Codex on Polymarket, Codex only on Kalshi (Mobula does not\nyet cover Kalshi venue data).\n","methodology":["Anchor rows: on each venue tab the venue itself (Polymarket, Kalshi) is the canonical T0, so its row reads as the harness network round trip, near zero by construction. It is kept on the board to document the reference point, not as a competing feed; the comparison rows are the data providers measured against it.","Polymarket T0. `wss://ws-subscriptions-clob.polymarket.com/ws/market` is public, no auth, sub 50ms gateway publish latency from EU West. Cross correlation uses (conditionId, priceUSD rounded to 3 decimals, sizeUSD micros, 5s time bucket).","Kalshi T0. `https://api.elections.kalshi.com/v1/social/trades` (REST), polled every 5s with cursor pagination. Every trade carries `create_date` at microsecond precision; that timestamp is the canonical T0. Poll cadence affects only correlation timing, not the freshness number. The official Kalshi WebSocket needs RSA PSS signed headers from a US KYC account and 403s from non US IPs, not viable for a public benchmark.","Mobula PM WebSocket. `wss://pm-api-prod-eu.mobula.io`. Auth via API key in the subscribe payload. Cloudflare on the gateway requires a browser User Agent on the upgrade request, default Go HTTP UA is silently filtered. Covers Polymarket today, Kalshi coverage is not yet shipped.","Codex GraphQL subscriptions. `wss://graph.codex.io/graphql` with the `graphql-transport-ws` subprotocol. Firehose `onPredictionTradesCreated` subscription filtered client side to the venue's marketIds. Covers both Polymarket and Kalshi.","Basket. Top 20 active markets by 24h volume per venue, refreshed every 5 minutes. Polymarket pulls from `gamma-api.polymarket.com`, Kalshi pulls from `api.elections.kalshi.com/trade-api/v2/markets`.","Histogram buckets: 10, 25, 50, 100, 250, 500, 1000, 2500, 5000, 10000, 30000, 60000 ms. The venue's own arrivals always land in the smallest bucket because by construction we measure other providers against it.","Region. `eu-west` (Railway europe-west4). Both venue gateways are geographically distributed; deltas reflect EU client to EU gateway latency.","Venue clock asymmetry. Polymarket CLOB trades carry no venue timestamp so T0 is when our harness receives the WS event; the Polymarket-to-harness RTT cancels inside the Codex delta. Kalshi's REST `create_date` is venue-side so the Codex Kalshi delta includes a Codex-to-harness RTT (50 to 100 ms) the Polymarket math cancels out. Kalshi rows are slightly stricter for the same provider, not more favorable; the gap is small versus the multi-second deltas the chart highlights."],"findings":["Each venue's own gateway is by definition the freshest source on the leaderboard for that venue. The lag versus its own publish time is on the order of the network round trip from the harness to the gateway, typically below 100 ms p50 from EU West.","{{name:mobula}} relays Polymarket trades with a p50 delta of {{p50:mobula}} versus the venue native gateway on the Polymarket tab. Mobula's PM WebSocket runs on a dedicated edge service in EU West and forwards events without orderbook reconstruction, which is why the gap to native is small. Mobula does not yet cover Kalshi, so the Kalshi tab shows Codex alongside the Kalshi T0 row only.","Codex sits at p50 807 ms on the Polymarket tab because Codex indexes the chain event (Polygon block confirmation) rather than the off chain orderbook publish. The lag includes Polygon block time (~2s) plus ingestion. On Kalshi Codex ingests Kalshi's own WebSocket feed directly, so the delta is purely pipeline latency.","The spread between providers reflects integration depth: native gateway vs edge cached relay vs chain indexed pipeline. None of these is wrong, they answer different questions. For live trading UIs the gateway path is the only viable one."],"source":"https://github.com/ChainBench/OpenChainBench/tree/main/harnesses/pm-freshness-bench","dimensions":{"venue":[{"value":"polymarket","label":"Polymarket"},{"value":"kalshi","label":"Kalshi"}]},"results":[{"name":"Polymarket","slug":"polymarket","tag":"Native gateway WebSocket, no auth, sub 50ms publish latency","ms":{"p50":0.5,"p90":0.5,"p99":0.5,"mean":0.5},"successRate":96.8056,"sampleSize":24781.3,"query":"pm_health{provider=\"polymarket\"} * 0.5","formula":"Polymarket gateway publish time is the canonical T0 on the Polymarket tab. The near zero row is the network round trip from the harness to the gateway, not a comparison against another source.","availability":"live","meta":{"observedAt":1784679888604}},{"name":"Kalshi","slug":"kalshi","tag":"Native venue REST, create_date is canonical T0","ms":{"p50":0.5,"p90":0.5,"p99":0.5,"mean":0.5},"successRate":100,"sampleSize":2160280,"query":"pm_health{provider=\"kalshi\"} * 0.5","formula":"Kalshi gateway publish time is the canonical T0 on the Kalshi tab. The near zero row is the network round trip from the harness to the Kalshi endpoint, not a comparison against another source.","availability":"live","meta":{"observedAt":1784679888604}},{"name":"Codex","slug":"codex","tag":"Chain indexer on Polymarket, native ingestion on Kalshi","ms":{"p50":807.242,"p90":2468.42,"p99":5004.53,"mean":1048.25},"successRate":100,"sampleSize":487088,"query":"histogram_quantile(0.50, sum(rate(pm_freshness_delta_ms_bucket{provider=\"codex\",kind=\"trade\"}[24h])) by (le))","formula":"Median ms lag versus the venue gateway. On Polymarket Codex indexes the on chain Polygon settlement of each trade (block time ~2s plus ingestion). On Kalshi Codex ingests Kalshi's own WebSocket directly so the lag is pure pipeline latency.","availability":"live","meta":{"observedAt":1784679888604}},{"name":"Mobula","slug":"mobula","tag":"Edge cached venue relay, browser UA required (Polymarket only today)","ms":{"p50":0,"p90":0,"p99":0,"mean":0},"successRate":0,"availability":"unavailable","formula":"Median ms lag versus the venue gateway, measured by cross correlating trades over the rotating basket of top 20 markets. Polymarket coverage today, Kalshi pending.","meta":{"observedAt":1784679888604}}],"extras":{"series24h":{"polymarket":[0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0,0,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5],"kalshi":[0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5],"codex":[745.683,768.519,851.492,1011.63,1061.24,964.578,707.616,506.615,437.26,559.896,579.833,534.714,474.675,470.034,708.608,720.447,718.395,565.904,556.291,530.468,682.729,792.09,887.504,917.951,842.963,814.246,828.82,906.453,931.709,917.165,1041.86,1110.92,1212.96,1131.35,1142.85,1116.78,1033.41,951.368,864.31,835.043,752.048,739.898,793.454,861.439,946.69,877.494,862.983,780.691,802.027,856.928,838.104,868.615,791.101,775.546,728.463,688.114,766.322,789.066,832.576,642.35,566.687,598.526,811.191,1006.61,1021.86,1037.75,942.234,890.492,868.128,804.679,782.283,792.526,751.253]},"series7d":{"polymarket":[0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0,0,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5],"kalshi":[0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0,0,0.5,0,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5],"codex":[842.711,720.263,648.932,838.007,1177.38,971.839,1087.16,1003.25,759.641,925.633,767.812,727.143,962.868,993.284,3311.54,1070.48,3791.44,943.47,1157.88,1410.48,981.724,755.643,420.548,486.664,198.091,380.24,406.735,705.398,767.123,1062.46,1015.81,778.92,747.351,702.218,740.196,524.263,616.997,423.531,329.995,762.006,1037.05,829.784,1205.19,1163.42,932.455,639.425,748.352,2300.61,262.847,9.11382,630.719,611.571,677.745,958.972,796.159,882.672,460.057,1253.82,592.105,412.418,123.767,387.213,651.565,974.874,881.979,1141.8,1070.76,789.032,908.071,628.897,752.912,794.757,745.683,707.616,474.675,556.291,842.963,1041.86,1033.41,793.454,802.027,728.463,566.687,942.234,751.253]},"series30d":{"polymarket":[0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5],"kalshi":[0.5,0.5,0.5,0.5,0.5,0.5,0,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5],"codex":[311.107,877.501,505.631,968.604,647.028,956.386,2190.68,875.567,606.598,null,685.85,958.033,849.785,957.589,642.679,1122.13,1317.34,1057.04,750.417,1040.5,1006.95,1033.32,756.446,1026.62,2004.86,1195.41,991.825,1194.5,924.849,1090.72,1229.77,1251.29,1078.86,1196.29,1188.96,20616.4,948.842,1047.38,1125.67,null,2573.46,1102.12,1087.68,1135.49,683.501,930.495,842.711,1087.16,962.868,1157.88,198.091,1015.81,616.997,1205.19,262.847,796.159,123.767,1070.76,745.683,1033.41,751.253]},"regions":{}},"sampleSize":2672149.3,"lastRunAt":"2026-07-22T00:24:35.989Z","dataAsOf":1784679888604},{"slug":"evm-quote-latency","number":"033","title":"Fastest EVM swap quote API","seoTitle":"Fastest EVM swap quote API 2026","seoDescription":"Live p50/p90/p99 latency for major EVM swap quote APIs measured every minute on a rotating token basket.","seoIntro":"EVM swap aggregator APIs all promise sub second quotes. This benchmark\nmeasures how often they actually deliver one. The harness rotates a 5\npair basket across Ethereum, Base, Arbitrum and BSC, fires a quote\nrequest at every supported provider in parallel every 60 seconds, and\nrecords the wall clock round trip. The leaderboard sorts by p50 latency\nover the last 24 hours, lower is better. A geographic split is also\navailable, with the same probe running independently from us east, eu\nwest and Singapore so a wallet integrator can pick the provider whose\nedge gateway is closest to their backend.\n","faq":[{"q":"Which EVM swap quote API has the lowest latency right now?","a":"Mobula currently leads at 175 ms (p50 over the last 24 hours) on the active tab, across 6 measured providers. The leaderboard re sorts every minute on fresh Prometheus samples, so the answer reflects measured latency on the live basket, not a marketing claim."},{"q":"Does this measure quote quality or just speed?","a":"Speed only. Latency is wall clock round trip from request to last byte, recorded only on a successful parseable response. Output amount in USD is not scored on this bench because providers measure it differently (Bebop is net of fees on a gasless RFQ, others are gross), and converting all outputs to a comparable USD value introduces an oracle bias we do not want to bake into a latency leaderboard."},{"q":"Why are some providers not on every chain?","a":"Each provider declares its supported chain set. The harness skips probes for chains a provider does not claim to cover so the failure counter is not inflated by structural non coverage."},{"q":"What happens when a provider rate limits the harness?","a":"Each adapter classifies the response. 429 lands on a throttle counter and the success gauge drops to 0. 401 and 403 land on an auth counter. Empty or zero output amounts on a 200 land on a no route counter. None of those failure modes contribute to the latency histogram, so the p50 number stays representative of healthy quotes."},{"q":"How is the geographic split implemented?","a":"Three identical Railway services run the harness with different MONITOR_REGION env vars (us east, eu west, sgp). Each writes the same metric family with a region label. The bench page filter on region selects which slice of the histogram is queried."}],"perChainExplainer":[{"slug":"ethereum","h2":"Fastest Ethereum swap quote API","body":"Mobula currently leads the Ethereum swap-quote field at 184 ms (p50, 24h) across the 7 measured providers. Ethereum mainnet holds the deepest EVM liquidity (Uniswap v3 tick-range pools, Curve stable pools, Maker PSM), so route-search complexity is the dominant component of quote latency: aggregators trading off depth-of-search against time-to-first-byte show their architecture here more than on any other chain. Probes run every 60 seconds on a 5-pair basket from us-east, eu-west and Singapore.\n"},{"slug":"base","h2":"Fastest Base swap quote API","body":"Mobula currently leads the Base swap-quote field at 156 ms (p50, 24h). Base liquidity is dominated by Aerodrome's ve(3,3) gauges and Uniswap v3, with a thinner long tail than Ethereum, so quote engines that pre-warm a per-chain pool graph (KyberSwap, Mobula) have a structural edge against bridge-first aggregators that re-resolve routes per request. Probes run from us-east, eu-west and Singapore on a 0.5 ETH to USDC pair.\n"},{"slug":"arbitrum","h2":"Fastest Arbitrum swap quote API","body":"KyberSwap currently leads the Arbitrum swap-quote field at 32 ms (p50, 24h). Arbitrum One concentrates liquidity in Camelot v3, Uniswap v3 and Curve, with sub-second sequencer blocks that let quote engines using `eth_call` simulation refresh their price source between every probe. Bebop's RFQ model resolves price through a maker network rather than via on-chain simulation. Probes run every 60s on a 100 USDC to ETH pair from three regions.\n"},{"slug":"bsc","h2":"Fastest BSC swap quote API","body":"KyberSwap currently leads the BSC swap-quote field at 36 ms (p50, 24h). BSC liquidity is concentrated in PancakeSwap v2 and v3, with a long memecoin tail that pushes aggregators toward exhaustive route enumeration. CoW Protocol is absent because CoW Settlement does not deploy on BSC. Probes fire every 60 seconds on a 1 BNB to USDT pair from us-east, eu-west and Singapore against the public sequencer RPC.\n"}],"subtitle":"Wall clock p50 latency of GET /quote per provider, measured every minute on a 5 pair basket across 4 chains.","category":"Aggregators","status":"live","editorialStatus":"live","metric":"Quote latency","unit":"ms","higherIsBetter":false,"abstract":"Each provider's public quote endpoint is hit on five fixed pairs\n(1 ETH to USDT on Ethereum, 1000 USDC to USDT on Ethereum, 0.5 ETH to\nUSDC on Base, 100 USDC to ETH on Arbitrum, 1 BNB to USDT on BSC),\nrotating one pair per 60 second tick. Per (provider, chain) we land\nroughly 288 samples in 24 hours, enough to put p90 and p99 buckets on a\nsolid base. Quote quality (output amount, net of gas) is not scored,\nonly latency.\n","methodology":["Five fixed pairs across four chains. Polygon and Optimism will be added in v2 once they reach a comparable sample volume.","60 second tick, one pair per tick, round robin. Every (provider, chain) sees a quote every 5 minutes.","Three regions (us east, eu west, sgp). Each is a separate Railway service writing the same metric family with a region label, so the page can filter to a single edge or aggregate across all three.","Latency is wall clock from request dispatch to last byte received, observed only on the happy path (HTTP 2xx and a parseable output amount). Failures land on dedicated counters (auth, throttle, no route, other) and pull the success gauge to 0.","Native asset sentinel is the canonical 0xEeeeeEeee form. Odos uses 0x0000... and Bebop substitutes the wrapped equivalent on the sell side. The adapter normalises per provider.","Provider auth: Mobula requires the sponsor key in an Authorization header. KyberSwap, Bebop, LI.FI and OpenOcean accept anonymous traffic."],"findings":["Mobula currently leads at 175 ms on the active chain tab, across 6 measured providers. Rankings shift per chain tab: a provider's edge placement and per-chain engine split matter more than its global average.","KyberSwap returns 212 ms (p50, 24 h). Its aggregator engine is split per chain and the no-auth path keeps the HTTP round trip lean.","{{name:openocean}} ({{p50:openocean}}) and LI.FI (841 ms) trade latency for breadth: both cover 30+ chains, and the route search across many underlying venues dominates their latency curve.","Bebop is RFQ. The output amount it quotes is already net of fees because settlement is gasless for the taker. The latency you see is the maker network resolving the price, not a public mempool route search."],"source":"https://github.com/ChainBench/OpenChainBench/tree/main/harnesses/evm-swap-quoting","dimensions":{"chain":[{"value":"all","label":"All chains"},{"value":"ethereum","label":"Ethereum"},{"value":"base","label":"Base"},{"value":"arbitrum","label":"Arbitrum"},{"value":"bsc","label":"BSC"}],"region":[{"value":"all","label":"All regions"},{"value":"us-east","label":"US East"},{"value":"eu-west","label":"EU West"},{"value":"sgp","label":"Singapore"}]},"results":[{"name":"Mobula","slug":"mobula","tag":"API key required, dedicated edge","ms":{"p50":174.628,"p90":357.542,"p99":631.097,"mean":203.962},"successRate":100,"sampleSize":4320.75,"query":"avg(ocb:evm_swap_quote_latency_ms:p50_24h{provider=\"mobula\"})","formula":"Avg of per-(chain, region) 24h medians of evm_swap_quote_latency_ms{provider=mobula} over the last 24 hours, only successful 2xx responses with a non zero output amount.","availability":"live","meta":{"observedAt":1784679870400}},{"name":"KyberSwap","slug":"kyberswap","tag":"No auth, per chain aggregator engine","ms":{"p50":212.427,"p90":1793.07,"p99":3746.64,"mean":661.118},"successRate":99.73379999999999,"sampleSize":4310.75,"query":"avg(ocb:evm_swap_quote_latency_ms:p50_24h{provider=\"kyberswap\"})","formula":"Avg of per-(chain, region) 24h medians of evm_swap_quote_latency_ms{provider=kyberswap} over the last 24 hours.","availability":"live","meta":{"observedAt":1784679870400}},{"name":"Bebop","slug":"bebop","tag":"RFQ gasless, EIP 55 checksum required","ms":{"p50":766.297,"p90":1329.78,"p99":1936.54,"mean":784.325},"successRate":83.7529,"sampleSize":3760.65,"query":"avg(ocb:evm_swap_quote_latency_ms:p50_24h{provider=\"bebop\"})","formula":"Avg of per-(chain, region) 24h medians of evm_swap_quote_latency_ms{provider=bebop} over the last 24 hours.","availability":"live","meta":{"observedAt":1784679870400}},{"name":"LI.FI","slug":"lifi","tag":"30+ chain coverage, same chain via fromChain equal toChain","ms":{"p50":840.638,"p90":1559.62,"p99":2847.6,"mean":919.622},"successRate":61.9502,"sampleSize":2677.46,"query":"avg(ocb:evm_swap_quote_latency_ms:p50_24h{provider=\"lifi\"})","formula":"Avg of per-(chain, region) 24h medians of evm_swap_quote_latency_ms{provider=lifi} over the last 24 hours.","availability":"live","meta":{"observedAt":1784679870400}},{"name":"OpenOcean","slug":"openocean","tag":"40+ chain coverage, numeric chainId in URL","ms":{"p50":0,"p90":0,"p99":0,"mean":0},"successRate":0,"availability":"unavailable","unresponsive":true,"formula":"Avg of per-(chain, region) 24h medians of evm_swap_quote_latency_ms{provider=openocean} over the last 24 hours.","meta":{"observedAt":1784679870400}},{"name":"CoW Protocol","slug":"cow","tag":"No auth, RFQ batch auction, no BSC","ms":{"p50":3446.81,"p90":4689.87,"p99":4969.56,"mean":3142.88},"successRate":99.9653,"sampleSize":3454.6,"query":"avg(ocb:evm_swap_quote_latency_ms:p50_24h{provider=\"cow\"})","formula":"Avg of per-(chain, region) 24h medians of evm_swap_quote_latency_ms{provider=cow} over the last 24 hours. BSC is skipped since CoW Settlement does not deploy there.","availability":"live","meta":{"observedAt":1784679870400}},{"name":"Enso","slug":"enso","tag":"Anonymous shared bucket, success rate capped near 80 percent","ms":{"p50":1332.64,"p90":1934.23,"p99":3942.82,"mean":1295.2},"successRate":99.7671,"sampleSize":4310.75,"query":"avg(ocb:evm_swap_quote_latency_ms:p50_24h{provider=\"enso\"})","formula":"Avg of per-(chain, region) 24h medians of evm_swap_quote_latency_ms{provider=enso}. Enso uses a global 1rps anonymous bucket so ~20% of probes hit 429 and are dropped. Remaining samples keep p50 and p90 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key required, dedicated edge","ms":{"p50":184.407,"p90":426.113,"p99":754.721,"mean":210.027},"successRate":100,"sampleSize":1728.3,"query":"avg(ocb:evm_swap_quote_latency_ms:p50_24h{provider=\"mobula\",chain=\"ethereum\"})","formula":"Avg of per-(chain, region) 24h medians of evm_swap_quote_latency_ms{provider=mobula} over the last 24 hours, only successful 2xx responses with a non zero output amount.","availability":"live"},"base":{"name":"Mobula","slug":"mobula","tag":"API key required, dedicated edge","ms":{"p50":156.069,"p90":228.826,"p99":484.465,"mean":190.162},"successRate":100,"sampleSize":864.15,"query":"avg(ocb:evm_swap_quote_latency_ms:p50_24h{provider=\"mobula\",chain=\"base\"})","formula":"Avg of per-(chain, region) 24h medians of evm_swap_quote_latency_ms{provider=mobula} over the last 24 hours, only successful 2xx responses with a non zero output amount.","availability":"live"},"arbitrum":{"name":"KyberSwap","slug":"kyberswap","tag":"No auth, per chain aggregator engine","ms":{"p50":31.6547,"p90":67.3376,"p99":174.57,"mean":35.7654},"successRate":99.6528,"sampleSize":861.15,"query":"avg(ocb:evm_swap_quote_latency_ms:p50_24h{provider=\"kyberswap\",chain=\"arbitrum\"})","formula":"Avg of per-(chain, region) 24h medians of evm_swap_quote_latency_ms{provider=kyberswap} over the last 24 hours.","availability":"live"},"bsc":{"name":"KyberSwap","slug":"kyberswap","tag":"No auth, per chain aggregator engine","ms":{"p50":36.2206,"p90":2913.89,"p99":5000,"mean":717.066},"successRate":99.5544,"sampleSize":860.149,"query":"avg(ocb:evm_swap_quote_latency_ms:p50_24h{provider=\"kyberswap\",chain=\"bsc\"})","formula":"Avg of per-(chain, region) 24h medians of evm_swap_quote_latency_ms{provider=kyberswap} over the last 24 hours.","availability":"live"}},"worstPerChain":{"ethereum":{"name":"CoW Protocol","slug":"cow","tag":"No auth, RFQ batch auction, no BSC","ms":{"p50":3454.37,"p90":4692.4,"p99":4970.95,"mean":3139.15},"successRate":99.89580000000001,"sampleSize":1726.3,"query":"avg(ocb:evm_swap_quote_latency_ms:p50_24h{provider=\"cow\",chain=\"ethereum\"})","formula":"Avg of per-(chain, region) 24h medians of evm_swap_quote_latency_ms{provider=cow} over the last 24 hours. BSC is skipped since CoW Settlement does not deploy there.","availability":"live"},"base":{"name":"CoW Protocol","slug":"cow","tag":"No auth, RFQ batch auction, no BSC","ms":{"p50":3464.68,"p90":4692.94,"p99":4969.29,"mean":3195.44},"successRate":100,"sampleSize":864.15,"query":"avg(ocb:evm_swap_quote_latency_ms:p50_24h{provider=\"cow\",chain=\"base\"})","formula":"Avg of per-(chain, region) 24h medians of evm_swap_quote_latency_ms{provider=cow} over the last 24 hours. BSC is skipped since CoW Settlement does not deploy there.","availability":"live"},"arbitrum":{"name":"CoW Protocol","slug":"cow","tag":"No auth, RFQ batch auction, no BSC","ms":{"p50":3421.38,"p90":4684.28,"p99":4968.43,"mean":3097.79},"successRate":100,"sampleSize":864.15,"query":"avg(ocb:evm_swap_quote_latency_ms:p50_24h{provider=\"cow\",chain=\"arbitrum\"})","formula":"Avg of per-(chain, region) 24h medians of evm_swap_quote_latency_ms{provider=cow} over the last 24 hours. BSC is skipped since CoW Settlement does not deploy there.","availability":"live"},"bsc":{"name":"Enso","slug":"enso","tag":"Anonymous shared bucket, success rate capped near 80 percent","ms":{"p50":1112.61,"p90":1863.66,"p99":3880,"mean":1205.15},"successRate":100,"sampleSize":864.15,"query":"avg(ocb:evm_swap_quote_latency_ms:p50_24h{provider=\"enso\",chain=\"bsc\"})","formula":"Avg of per-(chain, region) 24h medians of evm_swap_quote_latency_ms{provider=enso}. Enso uses a global 1rps anonymous bucket so ~20% of probes hit 429 and are dropped. Remaining samples keep p50 and p90 stable.","availability":"live"}},"providersPerChain":{"ethereum":["mobula","kyberswap","bebop","lifi","cow","enso"],"base":["mobula","kyberswap","bebop","lifi","cow","enso"],"arbitrum":["mobula","kyberswap","bebop","lifi","cow","enso"],"bsc":["mobula","kyberswap","bebop","lifi","enso"]},"cellRanks":{"arbitrum|eu-west":[{"slug":"kyberswap","p50":38.81944444444444},{"slug":"mobula","p50":186.74698795180723},{"slug":"bebop","p50":777.4725274725274},{"slug":"lifi","p50":813.4057971014493},{"slug":"enso","p50":1495.744680851064},{"slug":"cow","p50":3440.4332129963896}],"arbitrum|sgp":[{"slug":"kyberswap","p50":19.440789473684212},{"slug":"mobula","p50":175.78947368421052},{"slug":"bebop","p50":786.9318181818182},{"slug":"lifi","p50":805.9701492537314},{"slug":"enso","p50":1510.7296137339056},{"slug":"cow","p50":3344.8275862068967}],"arbitrum|us-east":[{"slug":"kyberswap","p50":36.703821656050955},{"slug":"mobula","p50":226.75159235668787},{"slug":"lifi","p50":790.8496732026144},{"slug":"bebop","p50":792.1052631578948},{"slug":"enso","p50":1532.442748091603},{"slug":"cow","p50":3478.8732394366198}],"base|eu-west":[{"slug":"mobula","p50":158.06451612903226},{"slug":"kyberswap","p50":371.42857142857144},{"slug":"lifi","p50":828.2442748091603},{"slug":"bebop","p50":829.3838862559242},{"slug":"enso","p50":1340.7821229050278},{"slug":"cow","p50":3500}],"base|sgp":[{"slug":"mobula","p50":154.54545454545453},{"slug":"kyberswap","p50":358.8235294117647},{"slug":"bebop","p50":779.0697674418604},{"slug":"lifi","p50":854.1666666666667},{"slug":"enso","p50":1264.864864864865},{"slug":"cow","p50":3394.0520446096652}],"base|us-east":[{"slug":"mobula","p50":155.5984555984556},{"slug":"kyberswap","p50":368.75},{"slug":"bebop","p50":813.2911392405063},{"slug":"lifi","p50":864.7540983606558},{"slug":"enso","p50":1506.4377682403433},{"slug":"cow","p50":3500}],"bsc|eu-west":[{"slug":"kyberswap","p50":36.005434782608695},{"slug":"mobula","p50":162.882096069869},{"slug":"bebop","p50":684.2783505154639},{"slug":"lifi","p50":775.8620689655172},{"slug":"enso","p50":1098.0392156862745}],"bsc|sgp":[{"slug":"kyberswap","p50":28.906250000000004},{"slug":"mobula","p50":158.77551020408163},{"slug":"bebop","p50":666.6666666666666},{"slug":"lifi","p50":775},{"slug":"enso","p50":989.7959183673469}],"bsc|us-east":[{"slug":"kyberswap","p50":43.75},{"slug":"mobula","p50":163.1578947368421},{"slug":"bebop","p50":651.3513513513514},{"slug":"lifi","p50":794.4078947368421},{"slug":"enso","p50":1250}],"ethereum|eu-west":[{"slug":"mobula","p50":183.72093023255815},{"slug":"kyberswap","p50":429.38829787234044},{"slug":"bebop","p50":788.7323943661972},{"slug":"lifi","p50":938.423645320197},{"slug":"enso","p50":1279.1878172588831},{"slug":"cow","p50":3500}],"ethereum|sgp":[{"slug":"mobula","p50":168.4085510688836},{"slug":"kyberswap","p50":379.749478079332},{"slug":"bebop","p50":807.8758949880668},{"slug":"lifi","p50":930.2884615384614},{"slug":"enso","p50":1303.970223325062},{"slug":"cow","p50":3363.1178707224335}],"ethereum|us-east":[{"slug":"mobula","p50":201.09090909090907},{"slug":"kyberswap","p50":437.3626373626373},{"slug":"bebop","p50":818.407960199005},{"slug":"lifi","p50":916.2790697674418},{"slug":"enso","p50":1419.7396963123642},{"slug":"cow","p50":3500}],"arbitrum|all":[{"slug":"kyberswap","p50":31.654685191393202},{"slug":"mobula","p50":196.42935133090188},{"slug":"bebop","p50":785.5032029374134},{"slug":"lifi","p50":803.4085398525982},{"slug":"enso","p50":1512.9723475588573},{"slug":"cow","p50":3421.3780128799685}],"base|all":[{"slug":"mobula","p50":156.06947542431413},{"slug":"kyberswap","p50":366.3340336134454},{"slug":"bebop","p50":807.2482643127636},{"slug":"lifi","p50":849.0550132788276},{"slug":"enso","p50":1370.6949186700786},{"slug":"cow","p50":3464.6840148698884}],"bsc|all":[{"slug":"kyberswap","p50":36.2205615942029},{"slug":"mobula","p50":161.60516700359756},{"slug":"bebop","p50":667.4321228444938},{"slug":"lifi","p50":781.7566545674531},{"slug":"enso","p50":1112.611711351207}],"ethereum|all":[{"slug":"mobula","p50":184.40679679745026},{"slug":"kyberswap","p50":415.5001377714366},{"slug":"bebop","p50":805.0054165177562},{"slug":"lifi","p50":928.3303922087001},{"slug":"enso","p50":1334.299245632103},{"slug":"cow","p50":3454.3726235741447}],"all|eu-west":[{"slug":"mobula","p50":172.85363259581663},{"slug":"kyberswap","p50":218.91043713199127},{"slug":"bebop","p50":769.9667896525282},{"slug":"lifi","p50":838.983946549081},{"slug":"enso","p50":1303.4384591753123}],"all|sgp":[{"slug":"mobula","p50":164.37974737565756},{"slug":"kyberswap","p50":196.73001174119523},{"slug":"bebop","p50":760.136036819603},{"slug":"lifi","p50":841.3563193647149},{"slug":"enso","p50":1267.340155072795}],"all|us-east":[{"slug":"mobula","p50":186.64971294572365},{"slug":"kyberswap","p50":221.64161475467205},{"slug":"bebop","p50":768.7889284871894},{"slug":"lifi","p50":841.5726840168885},{"slug":"enso","p50":1427.1550531610778}]},"dataAsOf":1784679870400},{"slug":"token-deployment-cost","number":"034","title":"Cheapest blockchain to deploy a token, live USD cost across 7 non-EVM L1 chains","seoTitle":"Token deployment cost 2026: cheapest chain","seoDescription":"Live USD cost to create a fungible token on 7 non-EVM L1 chains via each chain's canonical method (SPL, Move, TokenFactory, native asset, Stellar 2-account).","seoIntro":"This page answers a question every memecoin founder, RWA issuer and non-EVM L1 marketing team asks. How much does it actually cost in dollars to create a token on each non-EVM chain right now. We track 7 non-EVM L1 chains in parallel and refresh the number every 5 minutes. Solana uses the SPL mint plus the Associated Token Account plus the Metaplex metadata account so the comparison is fair against ERC20 which embeds name and symbol natively. Sui and Aptos use Move publish gas budgets. Cardano reads coins_per_utxo_size from koios and applies the Conway minUTxO formula. Stellar uses the canonical issuer plus distribution plus trustline two account flow at protocol-minimum reserves. Cosmos TokenFactory chains (Osmosis, Injective) read denom_creation_fee from the LCD. Every number is reproducible from source. No transactions are broadcast. EVM chains are excluded from this leaderboard for now while we finalise the canonical OpenZeppelin v5 ERC20 artifact bytecode used in eth_estimateGas.\n","faq":[{"q":"What does this benchmark measure?","a":"The live USD cost to create a fungible token on each of the 7 tracked non-EVM L1 chains, refreshed every 5 minutes, using each chain's canonical and most used method. SPL mint plus ATA plus Metaplex metadata account for Solana, Move publish for Sui and Aptos, TokenFactory MsgCreateDenom for Osmosis and Injective, native asset minting policy for Cardano, two account asset issuance for Stellar."},{"q":"Which chains are tracked?","a":"7 non-EVM L1 chains: Solana, Sui, Aptos, Osmosis, Injective, Cardano, Stellar."},{"q":"Why are EVM chains not tracked here?","a":"The harness path for EVM chains currently ships a placeholder ERC20 init bytecode to eth_estimateGas, which understates the real deploy cost of the canonical OpenZeppelin v5 ERC20 by roughly 30 to 500x depending on chain. Rather than publish misleading numbers, we removed the EVM leg until we finalise the real OZ v5 artifact and re-enable it in a follow-up."},{"q":"Is the comparison fair across chains?","a":"As fair as the underlying chains allow. Token creation means structurally different things in each ecosystem. We do not pretend the numbers are perfectly equivalent. Instead we publish exactly what the canonical and most used method costs in dollars on each chain, plus the formula and inputs for every value so readers can adjust. The methodology field lists the precise method per chain."},{"q":"Why is Osmosis showing near zero?","a":"Osmosis TokenFactory has set its denom_creation_fee parameter to an empty list, meaning the only cost is the gas to execute MsgCreateDenom (roughly one tenth of a cent at current gas prices, well below our display precision). We render this as less than zero point zero zero one dollar with a tooltip explaining no protocol level creation fee. Injective by contrast charges a flat zero point one INJ for a tokenfactory denom."},{"q":"Is the Solana number really fair compared to ERC20?","a":"Yes. Earlier versions of the benchmark only counted the bare 82 byte mint account rent, which understated the realistic cost by about 2.5 times. The current methodology also includes the 165 byte Associated Token Account for the initial holder and the 679 byte Metaplex Token Metadata account that holds name, symbol and URI. EVM ERC20 deployments embed name and symbol in the contract storage natively, so adding the Solana metadata account is the apples to apples adjustment. A bare mint without metadata would not be discoverable in Phantom, Jupiter or any wallet UI."},{"q":"Why is Cardano always similar?","a":"The Cardano min UTxO formula is deterministic. The coins_per_utxo_size protocol parameter is set by governance and moves rarely. A standard native asset bundle (32 byte policy hash plus short asset name) sits around 70 bytes, and the on chain mint transaction fee is a few cents of ADA. The USD figure on the leaderboard moves with ADA price, not with congestion."},{"q":"Can I cite a value from this page?","a":"Yes. Every number is a live Prometheus query against the OpenChainBench gateway. The harness source is open at the link in the source field below. Cite the value, the chain and the timestamp at the top of the page."},{"q":"Why publish a live cost when most readers will see a one off snapshot?","a":"Because deploying a token is a one off decision and the operator wants the cost at the time of decision, not last quarter's average. The bench is the only public source that publishes this number live with reproducible methodology. Static blog posts go stale within hours when gas prices move."}],"subtitle":"Live USD cost to bring a fungible token into existence on each chain, using that chain's canonical method. 7 non-EVM L1 chains, 5 minute refresh, no transactions broadcast.","category":"Blockchains","status":"live","editorialStatus":"live","metric":"Token deployment cost USD","unit":"usd","higherIsBetter":false,"abstract":"Every 5 minutes the harness asks each of 7 non-EVM L1 chains what it\nwould cost right now to create a standard fungible token. For Solana\nit reads rent exemption for the SPL mint, the Associated Token Account\nand the Metaplex metadata account. For Sui and Aptos it uses the\nreference gas price multiplied by a pinned Move publish budget. For\nCosmos TokenFactory chains (Osmosis, Injective) it reads\ndenom_creation_fee from the LCD. For Cardano it reads\ncoins_per_utxo_size and applies the Conway min UTxO formula. For\nStellar it reads base_reserve_in_stroops and base_fee and prices the\ncanonical issuer plus distribution plus trustline two account flow.\nNo transaction is broadcast on any chain. The 7 numbers are published\nas Prometheus gauges with chain and layer labels. EVM chains are\nexcluded pending a canonical OZ v5 ERC20 artifact.\n","methodology":["Refresh cadence. 5 minutes. One process samples all 7 chains in parallel goroutines and emits Prometheus gauges.","Solana SPL. getMinimumBalanceForRentExemption(82) for the mint + (165) for the Associated Token Account + (679) for the Metaplex Token Metadata account + 5000 lamports per signature. Multiply by SOL USD price. Without the metadata account the headline would understate by ~2.5x.","Sui. suix_getReferenceGasPrice times 5 million MIST gas units for a canonical coin module publish (net of storage rebate). Converted to USD via SUI price.","Aptos. /v1/estimate_gas_price.gas_estimate octas per unit times 150000 gas units for a canonical FA standard publish. Converted to USD via APT price.","Cosmos TokenFactory (Osmosis, Injective). LCD /<chain>/tokenfactory/v1beta1/params.denom_creation_fee. Empty array (Osmosis) means gas only, rendered as less than 0.001 dollar. Injective charges a flat 0.1 INJ.","Cardano. Koios /epoch_params.coins_per_utxo_size. Apply Conway minUTxO formula = (160 byte overhead + 70 byte single asset bundle) × coins_per_utxo_size + 180000 lovelace mint tx fee. Converted to USD via ADA price.","Stellar. Horizon /ledgers.base_reserve_in_stroops and base_fee_in_stroops on the latest ledger. Total cost = 5 base reserves (the protocol minimum of 2 per new account for issuer and distribution, plus 1 for the trustline) + 2 base fees (create_account + change_trust). Reserves are locked capital, refundable on account closure, counted here because bringing the asset into existence requires them upfront. Converted to USD via XLM price.","USD prices. api.mobula.io/api/1/market/multi-data?symbols=SOL,SUI,APT,OSMO,INJ,ADA,XLM polled every 5 minutes.","Failures. Any upstream error increments token_deployment_samples_total{chain,status=error} and leaves the previous gauge value in place.","EVM chains excluded. Ethereum, BNB Chain, Avalanche, Polygon, Arbitrum, Optimism, Base, Blast, Mantle, opBNB, Celo, Scroll and Linea were previously exposed but relied on a placeholder init bytecode that undercounted real ERC20 deploy cost by 30 to 500x. Removed until the canonical OZ v5 artifact is finalised."],"findings":["Osmosis is the cheapest tracked chain to deploy a token at $0.00108 right now.","Osmosis TokenFactory is effectively free (gas only, sub one tenth of a cent). Injective charges a flat 0.1 INJ governance fee.","Solana headline includes the Metaplex metadata account for fair comparison against ERC20 which embeds name and symbol natively. The bare mint cost (no metadata) is roughly 2.5 times lower but produces a token invisible to wallets and DEXs.","Sui canonical coin publish is the most expensive tracked chain on the list, around 0.3 to 0.5 USD, because Move modules are larger than ERC20 bytecode and Sui charges per byte of storage even after the rebate.","Cardano native asset creation is deterministic and stable in ADA terms. The USD figure moves purely with ADA price, not congestion."],"source":"https://github.com/ChainBench/OpenChainBench/tree/main/harnesses/token-deployment-cost","results":[{"name":"Solana","slug":"solana","tag":"SPL mint + ATA + Metaplex metadata","layer":"l1","ms":{"p50":0.712504,"p90":0.715764,"p99":0.717421,"mean":0.712757},"successRate":100,"query":"quantile_over_time(0.50, token_deployment_cost_usd{chain=\"solana\"}[24h])","formula":"rent(82) + rent(165) + rent(679) + 5000 lamports/sig, × SOL USD price.","availability":"live","meta":{"observedAt":1784679902922}},{"name":"Sui","slug":"sui","tag":"Move coin module publish, 5M MIST budget","layer":"l1","ms":{"p50":0.384093,"p90":0.386719,"p99":0.388157,"mean":0.38427},"successRate":100,"query":"quantile_over_time(0.50, token_deployment_cost_usd{chain=\"sui\"}[24h])","formula":"suix_getReferenceGasPrice × 5,000,000 MIST × SUI USD price.","availability":"live","meta":{"observedAt":1784679902922}},{"name":"Aptos","slug":"aptos","tag":"FA standard publish, 150k gas budget","layer":"l1","ms":{"p50":0.0918687,"p90":0.0924079,"p99":0.0926208,"mean":0.0916155},"successRate":100,"query":"quantile_over_time(0.50, token_deployment_cost_usd{chain=\"aptos\"}[24h])","formula":"estimate_gas_price.gas_estimate × 150,000 gas × APT USD price.","availability":"live","meta":{"observedAt":1784679902922}},{"name":"Osmosis","slug":"osmosis","tag":"TokenFactory denom_creation_fee","layer":"l1","ms":{"p50":0.0010785,"p90":0.00108202,"p99":0.00108998,"mean":0.0010786},"successRate":100,"query":"quantile_over_time(0.50, token_deployment_cost_usd{chain=\"osmosis\"}[24h])","formula":"LCD denom_creation_fee × OSMO USD price. Currently empty array, gas only.","availability":"live","meta":{"observedAt":1784679902922}},{"name":"Injective","slug":"injective","tag":"TokenFactory denom_creation_fee, 0.1 INJ flat","layer":"l1","ms":{"p50":0.534599,"p90":0.538185,"p99":0.543487,"mean":0.534889},"successRate":100,"query":"quantile_over_time(0.50, token_deployment_cost_usd{chain=\"injective\"}[24h])","formula":"LCD denom_creation_fee = 0.1 INJ × INJ USD price.","availability":"live","meta":{"observedAt":1784679902922}},{"name":"Cardano","slug":"cardano","tag":"Native asset min-UTxO, deterministic","layer":"l1","ms":{"p50":0.203655,"p90":0.20604,"p99":0.207066,"mean":0.203644},"successRate":100,"query":"quantile_over_time(0.50, token_deployment_cost_usd{chain=\"cardano\"}[24h])","formula":"(160 byte overhead + 70 byte single-asset bundle) × coins_per_utxo_size + 180000 lovelace mint tx fee, × ADA USD price.","availability":"live","meta":{"observedAt":1784679902922}},{"name":"Stellar","slug":"stellar","tag":"Issuer + 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HIP-3 deployer revenue leaderboard","seoTitle":"Hyperliquid HIP-3 dex deployer fees 2026","seoDescription":"Live USD revenue collected by every HIP-3 builder-deployed dex on Hyperliquid via the deployer fee code.","seoIntro":"This page answers one question. Which HIP-3 builder-deployed dex on\nHyperliquid collected the most deployer fee revenue in USD over the\nlast 24 hours, 7 days and 30 days. HIP-3 lets any team that stakes\n500,000 HYPE deploy its own perpetual markets on HyperCore under a\ndedicated namespace (xyz:AAPL, vntl:MAG7, km:US500), set the fee\npolicy for those markets, and collect a deployer cut on every fill.\nThe mechanism powers the tokenized stock, index and commodity perps\nwave on Hyperliquid: trade.xyz alone routinely clears several billion\ndollars of daily notional across more than 70 equity and commodity\nmarkets. The bench ranks every namespace observed on mainnet by the\ndollar amount its deployer collected through the on-chain deployerFee\nfield, alongside routed volume, unique trader counts and the number\nof live markets. Data comes from a local hl node operated on OCB\ninfrastructure tailing the Hyperliquid mainnet fill stream; a Go\nharness aggregates per-dex over rolling windows and exposes\nPrometheus gauges that this page consumes. End-to-end staleness from\nfill landing on-chain to page render is typically under one minute.\n","disclaimer":"Ranking is by raw deployer fee revenue in USD, not by value for traders. Bigger number means more fees collected via the on-chain deployerFee field on the dex's namespaced markets. For the trader cost perspective, switch to the Effective fee bps companion tab. Core Hyperliquid markets (no namespace) carry no deployer fee and are excluded. Every namespace is matched to its operating team via the on-chain perpDexs registry (deployer address and full name are public).\n","faq":[{"q":"What does this benchmark measure?","a":"The USD value of deployer fees each HIP-3 builder-deployed dex collected over rolling 24 hour, 7 day and 30 day windows. HIP-3 lets a team that stakes 500,000 HYPE deploy its own perpetual markets on Hyperliquid under a dedicated namespace and collect a fee cut on every fill. The bench sums every fill's deployerFee value per namespace and publishes the total per timeframe."},{"q":"What is HIP-3?","a":"Hyperliquid Improvement Proposal 3, builder-deployed perpetuals. It opens HyperCore market deployment to outside teams: stake 500,000 HYPE, deploy markets under your namespace, set the fee policy, collect the deployer cut. It powers the tokenized stock, index and commodity perps on Hyperliquid, which represent a large share of platform volume."},{"q":"Where does the data come from?","a":"A local hl node operated on OCB infrastructure tails the Hyperliquid mainnet. The node writes every block of fills to disk; a Go harness running on the same host reads these files continuously, attributes namespaced fills to their dex, and aggregates per hour. No third party API, no internal Mobula service."},{"q":"How are dexes identified?","a":"By their on-chain coin namespace. Every HIP-3 market trades under a prefix (xyz:AAPL, vntl:MAG7, km:US500) that is unique to its deployer. The harness discovers the set dynamically from the fill stream and starts metering a brand new deployer with its first fill; the page lists each new namespace after a short spec review. Operating teams are resolved from the on-chain perpDexs registry, which publishes each namespace deployer address and full name."},{"q":"Why is trade.xyz so far ahead?","a":"It operates the deepest tokenized equity and commodity catalog on Hyperliquid, more than 70 markets including the large cap US names, and captures the bulk of HIP-3 open interest. Deployer revenue is volume times fee policy, and xyz leads on both breadth and notional."},{"q":"What does the Effective fee bps column tell me?","a":"Deployer fees divided by notional volume, in basis points. It is the trader perspective: what a representative dollar of flow paid the dex operator. Two dexes with the same revenue can have very different fee rates if one routes ten times the volume."},{"q":"Why do 30 day figures look low for some dexes?","a":"The node keeps hourly fill files for a bounded horizon and the harness backfills what exists on disk. Until 30 full days of history accumulate behind a dex, its 30d figure covers the available horizon and grows toward the full window. The 24h and 7d views are complete."},{"q":"How often does the page refresh?","a":"Every 30 seconds at the harness and scrape level. The page itself uses incremental static regeneration with a 60 second window, so headline values are at most 90 seconds stale plus chain propagation delay."},{"q":"Can I cite a value from this page?","a":"Yes. Every number is a Prometheus query exposed via the OCB API endpoints. The harness source is open at the link in the source field below. Cite the value and the timestamp at the top of the page."}],"subtitle":"How much USD deployer fee revenue each HIP-3 builder-deployed dex collected over the rolling 24h, 7 day and 30 day windows. Data from a local hl node tailing every fill on mainnet.","category":"Trading","status":"live","editorialStatus":"live","metric":"Deployer fees collected (USD)","unit":"usd","higherIsBetter":true,"abstract":"The bench ranks HIP-3 builder-deployed dexes by the USD value of\ndeployer fees they collected over rolling 24 hour, 7 day and 30 day\nwindows. Source data is a local hl node operated on OCB\ninfrastructure that writes every block of fills to disk as one JSON\nline. A Go harness tails these files, attributes each fill carrying\na namespaced coin (xyz:AAPL belongs to the xyz dex) and a deployerFee\nvalue, and increments per-dex hourly buckets keyed by the UTC hour\nfloor of the fill timestamp. At publish time the harness sums the\nrecent 24, 168 and 720 hourly buckets and exposes the totals as\nPrometheus gauges (hl_hip3_deployer_fees_usd_24h, _7d, _30d), plus\nrouted volume, unique trader counts from per day wallet sets, live\nmarket counts and an effective fee rate in basis points. The dex set\nis discovered dynamically from the fill stream, no registry needed,\nbecause HIP-3 namespaces are unique on chain by construction. The\nbench does not place trades, does not touch private keys, and does\nnot depend on any internal Mobula service.\n","methodology":["Data source. A local hl node operated on OCB infrastructure tails the Hyperliquid mainnet and writes every block of fills to node_fills_by_block hourly YYYYMMDD HH on local disk. Each line is one JSON block, the events array carries one entry per fill, and every fill on a HIP-3 market includes the dex namespaced coin (xyz:AAPL) plus the deployerFee in USDC.","Attribution. A fill belongs to a HIP-3 dex when its coin carries a namespace prefix (xyz:AAPL belongs to xyz). Namespaces are unique on chain by construction, so no hand-curated registry is needed; the harness starts tracking a new deployer with its first observed fill, and the namespace is added to this page on the next spec review. Core Hyperliquid markets carry no namespace and no deployer fee, they are excluded.","Cadence. The Go harness re-reads the current and previous hourly files every 30 seconds, parses appended lines, and updates per-dex hourly buckets keyed by the UTC hour floor of the fill timestamp. Prometheus scrapes the metrics every 30 seconds via a Caddy reverse proxy with basic auth. End-to-end staleness from fill landing on-chain to bench page render is typically under one minute.","Headline calculation. For each dex over the last 24 rolling hours we sum the deployerFee USD values of every fill on its namespaced markets. The 7 day and 30 day figures sum the same field over the last 168 and 720 hourly buckets, so the metric is consistent across the three ranges.","Volume companion. hl_hip3_deployer_volume_usd_24h, _7d and _30d are computed the same way on the px times sz product of every fill. They feed the Volume column and tab.","Users. Unique wallet addresses with at least one fill on the dex. The 24h figure is a union of per hour wallet sets over the rolling window; 7d and 30d are unions of per UTC day wallet sets. After a harness restart the day sets are reseeded from the on disk fill history before the 7d and 30d gauges publish, so they never lowball.","Markets. Count of distinct namespaced coins traded on the dex in the last 24 hours. A dex with 70 active equity markets and a dex with one commodity market are different products; the column makes that visible next to the revenue number.","Effective fee bps. Deployer fees divided by notional volume, times ten thousand, over the rolling 24h window. The trader perspective on what a representative dollar of flow paid the dex operator.","Window mechanics. Hourly buckets per-dex go back 30 days in-memory and are pruned on every publish. Per fill state is never retained; the largest dex clears about 4 million fills per day, so the bench aggregates at ingestion time instead of keeping fill-level granularity.","30 day caveat. The node retains hourly fill files for a bounded horizon and the harness backfill reads what exists on disk. Until 30 full days of history accumulate, the 30d figures cover the available horizon and grow toward the full window.","Naming. Every namespace is resolved against the on-chain perpDexs registry, which publishes the deployer address and full name: xyz is trade.xyz, vntl is Ventuals, cash is Dreamcash, km is Markets by Kinetiq, hyna is HyENA by the Based team, flx is Felix Exchange, para is Paragon. Attribution is by namespace prefix either way, so the numbers do not depend on naming.","Reproducibility. Harness source is open in the OCB harness tree. Anyone running their own hl node can clone, point the data flag at their node_fills_by_block hourly root, run the binary against a Prometheus scraper, and reproduce these metrics.","Failures. Any read error on the hourly files leaves the previous gauge values in place. Hourly bucket pruning is idempotent. Restarts replay the warmup window from disk before going live tail, and reseed the user sets from history in the background."],"findings":["trade.xyz leads the leaderboard at $123.4K in deployer fees collected over the last 24 hours.","trade.xyz collects $123.4K on the 24h view. Tokenized equities and commodities under the xyz namespace dominate HIP-3 flow, with more than 70 live markets.","{{name:vntl}} returns {{p50:vntl}} on the 24h view. Pre IPO valuation perps are a smaller but structurally distinct niche, traders price company valuations rather than listed stock.","Deployer revenue concentrates hard. The top namespace typically collects more than the rest of the field combined, mirroring the builder code market where consumer wallets dominate.","USD figures move with both volume and the dex's fee policy. A deployer can climb the leaderboard by listing markets that attract more notional or by widening its fee share, the Effective fee bps tab separates the two.","The 7 day and 30 day ranges smooth out listing events and promo spikes. Use those for ranking stability, the 24h view for current activity."],"source":"https://github.com/ChainBench/OpenChainBench/tree/main/harnesses/hyperliquid-frontends","ledgerColumns":[{"label":"Revenue","slot":"p50","windows":{"7d":"revenue_7d","30d":"revenue_30d"}},{"label":"Volume","slot":"p90","windows":{"7d":"volume_7d","30d":"volume_30d"}},{"label":"Users","panel":"users","windows":{"7d":"users_7d","30d":"users_30d"}},{"label":"Fee bps","slot":"p99","unit":"bps"},{"label":"Markets","panel":"markets"}],"results":[{"name":"trade.xyz","slug":"xyz","tag":"Tokenized US equities, indices and commodities, 70+ markets","ms":{"p50":123449,"p90":7137620000,"p99":0.172955,"mean":107912},"successRate":100,"sampleSize":3980960,"query":"hl_hip3_deployer_fees_usd_24h{dex=\"xyz\"}","formula":"USD deployer fees collected over the rolling 24h window, summed across every fill on xyz namespaced markets in the local hl-node stream.","availability":"live","meta":{"observedAt":1784679878386}},{"name":"Dreamcash","slug":"cash","tag":"Tokenized equities and ETFs under the cash namespace, by Dreamcash","ms":{"p50":0,"p90":0,"p99":0,"mean":0},"successRate":100,"sampleSize":0,"query":"hl_hip3_deployer_fees_usd_24h{dex=\"cash\"}","formula":"USD deployer fees collected over the rolling 24h window, summed across every fill on cash namespaced markets in the local hl-node stream.","availability":"live","meta":{"observedAt":1784679878386}},{"name":"Markets by Kinetiq","slug":"km","tag":"Equity and index basket perps under the km namespace, by Kinetiq","ms":{"p50":0,"p90":0,"p99":0,"mean":0},"successRate":100,"sampleSize":0,"query":"hl_hip3_deployer_fees_usd_24h{dex=\"km\"}","formula":"USD deployer fees collected over the rolling 24h window, summed across every fill on km namespaced markets in the local hl-node stream.","availability":"live","meta":{"observedAt":1784679878386}},{"name":"Ventuals","slug":"vntl","tag":"Pre IPO valuation perps under the vntl namespace","ms":{"p50":0,"p90":0,"p99":0,"mean":0},"successRate":100,"sampleSize":0,"query":"hl_hip3_deployer_fees_usd_24h{dex=\"vntl\"}","formula":"USD deployer fees collected over the rolling 24h window, summed across every fill on vntl namespaced markets in the local hl-node stream.","availability":"live","meta":{"observedAt":1784679878386}},{"name":"HyENA","slug":"hyna","tag":"USDe margined perps under the hyna namespace, by the Based team","ms":{"p50":28.118,"p90":1355860,"p99":0.207381,"mean":56.2282},"successRate":100,"sampleSize":6436,"query":"hl_hip3_deployer_fees_usd_24h{dex=\"hyna\"}","formula":"USD deployer fees collected over the rolling 24h window, summed across every fill on hyna namespaced markets in the local hl-node stream.","availability":"live","meta":{"observedAt":1784679878386}},{"name":"Felix Exchange","slug":"flx","tag":"Commodity and macro perps under the flx namespace, by Felix","ms":{"p50":0,"p90":0,"p99":0,"mean":0},"successRate":100,"sampleSize":0,"query":"hl_hip3_deployer_fees_usd_24h{dex=\"flx\"}","formula":"USD deployer fees collected over the rolling 24h window, summed across every fill on flx namespaced markets in the local hl-node stream.","availability":"live","meta":{"observedAt":1784679878386}},{"name":"Paragon","slug":"para","tag":"Crypto index perps (BTC.D, TOTAL2, OTHERS) under the para namespace","ms":{"p50":54.5393,"p90":1853140,"p99":0.294308,"mean":59.4031},"successRate":100,"sampleSize":2358,"query":"hl_hip3_deployer_fees_usd_24h{dex=\"para\"}","formula":"USD deployer fees collected over the rolling 24h window, summed across every fill on para namespaced markets in the local hl-node stream.","availability":"live","meta":{"observedAt":1784679878386}}],"extras":{"series24h":{"xyz":[114677,116126,112577,114259,115496,112729,113763,115376,114128,115359,117016,116106,117199,118075,115450,116422,117424,116171,117399,118718,117080,118191,119122,114786,117098,118623,116916,118531,119423,117968,119353,120258,115657,116837,117795,114579,115638,116910,106356,107216,113985,109969,113310,116150,111463,115232,117996,113352,115171,117391,112212,114155,115664,111720,113043,119411,115746,117283,118744,119391,120987,122563,122531,123845,124959,124365,125343,126130,123544,124598,125679,120354,123449],"cash":[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0],"km":[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0],"vntl":[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0],"hyna":[40.5262,40.5668,36.781,36.8131,36.8526,35.75,35.7829,35.8635,34.3014,35.4324,35.5698,34.4537,34.5817,34.6114,32.7176,33.995,34.0195,34.1046,34.2816,34.3345,34.5304,34.6086,34.7851,34.446,35.2715,35.7993,35.7893,35.935,36.0172,35.9449,35.9681,36.0102,34.5586,34.8113,34.8458,34.0453,34.6508,34.8884,31.1791,31.3035,31.536,30.3854,30.7301,31.1671,20.8664,22.6129,22.7659,19.7538,19.9338,20.0277,20.6259,22.4339,22.7595,22.2306,22.5479,22.6735,21.1386,21.1479,21.178,21.8801,22.0694,22.9281,23.3989,23.3989,23.439,22.8745,24.4712,26.4135,26.3463,26.3463,28.363,27.9047,28.118],"flx":[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0],"para":[19.6049,19.6825,20.5047,20.5113,21.1557,21.045,21.1958,21.2752,21.3035,21.3778,21.3832,21.2788,21.2816,21.2897,21.1485,21.3064,21.356,21.2634,21.3165,21.3767,22.0623,22.0623,22.0623,22.0645,22.1066,22.4516,21.1236,21.1236,21.1327,21.3758,21.4632,21.4901,21.4908,21.9139,22.3957,22.7954,22.8803,23.2587,22.4541,22.8749,32.8626,34.4516,37.7993,53.9026,52.1236,53.1427,53.5993,52.6061,52.8168,54.1541,54.0776,54.3184,54.3589,53.6812,53.7014,53.8772,50.9338,51.031,52.1343,53.9421,54.1312,54.1312,54.1799,54.3155,54.5106,54.6002,54.7859,54.7859,54.8283,55.2327,55.2327,53.6833,54.5393]},"series7d":{"xyz":[167882,165565,155523,149911,150071,149683,136409,133010,141449,149908,153234,149570,141888,139661,137400,134637,134933,135660,137994,137659,128054,126544,131083,132497,136016,140835,145094,147135,147149,155616,150911,155978,170669,173223,176192,171492,161894,152094,145739,136446,126878,113953,105130,68722,44203.4,31829.6,22760.1,21266.5,20208.5,20195.1,20394.1,20359.9,20674.2,21582,21137.6,21146,21174.1,19835.9,19707.2,24599.1,38360.1,48342.3,52595.3,57609.4,64419.1,69690,78375.8,94402,108110,120334,127121,122566,114677,113763,117199,117399,117098,119353,115638,113310,115171,113043,120987,125343,123449],"cash":[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0],"km":[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0],"vntl":[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0],"hyna":[96.3573,94.7682,96.5712,95.7089,95.2853,97.1697,87.9607,92.5084,85.8857,96.5394,96.6206,91.4896,83.0672,82.8262,78.9804,75.7691,74.7117,76.3936,64.4451,52.9534,29.9665,36.0345,41.0571,41.3224,46.9442,85.6952,90.3414,96.3434,98.4798,97.9429,96.2285,100.009,119.873,108.551,110.602,109.853,103.466,63.1993,61.1751,56.2955,52.2761,50.9396,49.3275,38.4807,19.1059,17.1567,16.0059,16.3231,15.4188,17.0933,18.9853,19.3443,18.7618,20.4493,21.921,22.8048,20.668,22.3338,22.7707,25.8554,36.1306,40.2723,41.1066,42.787,40.597,40.4764,40.5512,43.5742,54.9232,54.7782,56.7876,52.3203,40.5262,35.7829,34.5817,34.2816,35.2715,35.9681,34.6508,30.7301,19.9338,22.5479,22.0694,24.4712,28.118],"flx":[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0],"para":[22.6435,21.7085,19.3581,19.3934,18.6228,15.0363,13.2068,8.25704,6.54856,6.72824,7.14155,7.42011,1.74396,1.76123,1.70793,4.76182,5.09296,5.30244,5.07937,9.4746,22.6641,33.6494,33.4718,33.1342,34.4008,34.6402,31.571,31.6343,31.3449,31.2127,30.0365,26.9027,14.2288,4.39731,6.08944,24.3369,23.0482,22.9847,28.5019,29.343,32.5135,35.6539,38.3225,42.5001,46.0375,215.283,217.666,201.651,205.474,211.444,217.919,216.865,220.294,225.699,228.464,226.434,196.465,66.74,85.623,88.2905,98.1297,90.7121,84.8295,84.0081,71.2586,69.0601,63.379,60.0426,56.2807,45.0884,40.3599,33.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perp venue to hold a position, live funding normalized","seoTitle":"Perp funding rates live 2026","seoDescription":"Live perp funding rates across Hyperliquid, Binance, Bybit, OKX, dYdX, Paradex and Aster, normalized hourly.","seoIntro":"This page answers one question. On which perp venue is it cheapest,\nright now, to hold a position once it is open. Perpetual futures\ncharge funding between longs and shorts to keep the contract pinned\nto spot, and on a position held for hours or days this funding flow\nusually dwarfs the opening fee. Comparing it across venues is\ngenuinely hard because everyone quotes a different native period:\nHyperliquid and dYdX settle every hour, Binance and Bybit quote per\n8 hours with some pairs moved to 4 hours, OKX, Paradex and Aster\nquote per 8 hours. A raw rate comparison is meaningless. The bench\npolls each venue's public funding endpoint every minute, reads the\nvenue's own settlement interval alongside the rate, normalizes\neverything to a per hour basis, and ranks venues by the cost in\nbasis points of holding a $1,000 ETH long for 24 hours at the\ncurrent rate, with BTC and SOL columns, annualized equivalents and\n7 and 30 day averages for the carry trade perspective. Negative\nnumbers mean the long side is being paid to hold. Funding spreads\nbetween venues are the raw material of the funding arbitrage trade:\nshort the perp where funding is most positive, long it where it is\nmost negative or hold spot, and collect the difference.\n","disclaimer":"Funding is signed. Positive means longs pay shorts, negative means longs get paid to hold. Venues settle on different native periods (1h for Hyperliquid and dYdX, 4h or 8h elsewhere); every figure is normalized from the venue's own quoted rate and interval before ranking. Funding is only the holding cost. Opening costs (taker fee, spread, impact) are the companion bench perp-fees.\n","faq":[{"q":"What does this benchmark measure?","a":"The funding cost of holding a perp long, normalized across venues. Headline ranking is the cost in basis points of holding a $1,000 ETH long for 24 hours at the current rate, averaged over the last 24 hours. BTC and SOL columns, annualized equivalents and 7d/30d averages are alongside. Positive means longs pay shorts, negative means longs get paid to hold."},{"q":"What is a funding rate?","a":"Perpetual futures never expire, so to keep the contract price pinned to spot, the side that is crowding the trade periodically pays the other side. When perps trade above spot, longs pay shorts; below spot, shorts pay longs. The payment is the funding rate, charged on position notional at each settlement."},{"q":"Why does normalization matter?","a":"Venues quote funding for their own settlement period: Hyperliquid and dYdX per hour, Binance and Bybit per 8 hours with some pairs on 4 hours, OKX, Paradex and Aster per 8 hours. Comparing quoted rates directly overstates hourly venues by 8x. This page divides every rate by its venue's interval first, so all columns share a per hour time base."},{"q":"What does a negative number mean?","a":"The long side is being paid to hold. Funding is a transfer between traders, not a fee to the venue, so when shorts crowd the book the sign flips and holding a long becomes income. The ranking treats negative as cheapest."},{"q":"What is funding rate arbitrage?","a":"Collecting the spread between venues or against spot. The classic carry: hold spot (or a long where funding is negative) and short the perp where funding is most positive; each settlement pays you the difference without directional exposure. The 7d and 30d columns show whether a spread persists long enough to cover execution costs."},{"q":"Why is the 24h average the headline instead of the live rate?","a":"The instantaneous rate can spike for a single settlement and revert. A position opened 24 hours ago paid the average, not the snapshot, so the headline is avg_over_time over 24 hours of one minute samples. The Per-hour rate tab shows the live normalized rate if you want the snapshot."},{"q":"Why are GMX and Lighter not in the cohort?","a":"GMX prices borrowing per side against pool utilization; there is no funding rate comparable to the order book venues, and pretending otherwise would be dishonest. Lighter publishes funding data but the interval semantics of its public endpoint are not documented; it joins once its numbers can be normalized with confidence."},{"q":"How fresh are these numbers?","a":"The harness polls every venue in parallel every 60 seconds and Prometheus scrapes every 30 seconds, so figures are at most about two minutes behind the venue APIs. A venue that stops responding keeps its last values and its Success column turns red after five minutes."},{"q":"Can I cite a value from this page?","a":"Yes. Every number is a Prometheus query over gauges the open source harness publishes from public venue endpoints. Cite the value and the timestamp at the top of the page; the harness source link is in the source field below."}],"subtitle":"Funding cost in basis points to hold a long position for 24 hours at the current rate, normalized across venues that settle funding on 1 hour, 4 hour and 8 hour periods. Negative means longs get paid.","category":"Trading","status":"live","editorialStatus":"live","metric":"Funding cost to hold a long 24h","unit":"bp","higherIsBetter":false,"abstract":"The bench polls the public funding endpoint of seven perpetual\nvenues every 60 seconds: Hyperliquid (metaAndAssetCtxs), Binance\nand Aster (premiumIndex plus fundingInfo for per pair intervals),\nBybit (v5 tickers plus instruments-info), OKX (public funding-rate,\ninterval derived from settlement timestamps), dYdX v4 (indexer\nperpetualMarkets) and Paradex (markets summary). For each venue and\neach of BTC, ETH and SOL it records the quoted rate and the venue's\nnative settlement interval, then publishes Prometheus gauges\nnormalized to a per hour basis: rate per hour in bps, cost to hold\na long for 24 hours in bps, and the annualized percentage. Sign is\npreserved everywhere, positive means longs pay shorts. The 7 day\nand 30 day figures are time averages of the normalized series, so\nthey reflect what holding actually cost over the window rather than\na single snapshot. A venue that fails to respond keeps its previous\nvalues and its freshness timestamp goes stale, which the\nreliability column surfaces.\n","methodology":["Sources. One public, unauthenticated endpoint per venue: Hyperliquid info metaAndAssetCtxs (live 1h rate), Binance fapi premiumIndex plus fundingInfo for per pair intervals, Bybit v5 tickers plus instruments-info (interval in minutes), OKX public funding-rate (interval from settlement timestamps), dYdX v4 indexer perpetualMarkets (per hour rate), Paradex markets summary (8h period), Aster premiumIndex (Binance compatible).","Normalization. Every venue quotes a rate for its own settlement period. The harness divides the quoted rate by the venue's interval in hours to get a per hour rate, then publishes per hour bps (rate times 10000), 24 hour hold cost (per hour times 24) and annualized percent (per hour times 24 times 365 times 100). A 0.01 percent per 8h rate and a 0.00125 percent per 1h rate are the same number on this page.","Sign convention. Positive means longs pay shorts, negative means longs are paid to hold. Signs are preserved through every column; the ranking treats negative as cheaper, so a venue where the long side is being paid ranks first.","Headline. Cost in bps of notional to hold an ETH long for 24 hours, averaged over the last 24 hours of one minute samples. The instantaneous rate moves every settlement; the 24 hour average is what a position opened yesterday actually paid. BTC and SOL columns are computed identically.","Windows. The 7 day and 30 day columns are avg_over_time of the normalized hold cost series, the carry trader's view. A venue with attractive funding for one hour and brutal funding the rest of the week ranks accordingly on the longer windows.","Cadence. The harness polls all venues in parallel every 60 seconds with a 10 second timeout per request; Prometheus scrapes every 30 seconds. End to end staleness is under two minutes in normal operation.","Failures. A venue that errors or times out keeps its previous gauge values and its perp_funding_venue_ok_unix timestamp stops advancing; the Success column turns red after 5 minutes of silence. No value on this page is ever interpolated or guessed.","Scope. BTC, ETH and SOL are the assets every venue in the cohort lists. GMX is excluded because its borrow fee model has no comparable funding rate. Lighter is excluded until the interval semantics of its public funding endpoint are documented; it joins the cohort once its numbers can be normalized honestly.","Funding versus fees. This bench prices holding. Its companion perp-fees prices opening (taker fee plus spread plus impact on a $1000 ETH long). Read both to know the all in cost of a trade you intend to hold.","Reproducibility. The harness source is open in the OCB harness tree (funding.go in the hyperliquid-frontends harness). Point it at the same public endpoints and you reproduce every number on this page."],"findings":["dYdX v4 is currently the cheapest venue to hold an ETH long, at 0.05 bps of notional per 24 hours (24h average, negative means longs get paid).","Hyperliquid settles funding every hour at a rate equivalent to 2.98 bps per 24h held. Hourly settlement means the quoted rate reacts to skew faster than the 8 hour venues.","Binance sits at 1.03 bps per 24h held on ETH. As the deepest perp book in the market it tends to anchor the field; persistent spreads against it are the funding arbitrage signal.","Funding spreads between venues are tradeable. Short the perp where funding is most positive and long it where it is most negative (or hold spot), and the difference accrues to you at every settlement.","The sign flips with market regime. In sustained uptrends every venue goes positive (longs pay), in washouts funding goes negative and the table inverts. The 7d and 30d toggles smooth single-settlement noise.","Interval normalization matters more than it looks. A naive comparison of quoted rates overstates 1 hour venues by 8x against 8 hour venues; every figure here is normalized to the same time base before ranking."],"source":"https://github.com/ChainBench/OpenChainBench/tree/main/harnesses/hyperliquid-frontends","ledgerColumns":[{"label":"ETH hold 24h","slot":"p50","windows":{"7d":"eth_hold_7d","30d":"eth_hold_30d"}},{"label":"BTC","slot":"p90","windows":{"7d":"btc_hold_7d","30d":"btc_hold_30d"}},{"label":"SOL","slot":"p99","windows":{"7d":"sol_hold_7d","30d":"sol_hold_30d"}},{"label":"Annualized","slot":"mean","unit":"pct"},{"label":"Interval h","panel":"interval"}],"results":[{"name":"Hyperliquid","slug":"hyperliquid","tag":"Onchain order book perps, funding settled hourly","ms":{"p50":2.98019,"p90":1.32771,"p99":1.99352,"mean":10.8777},"successRate":100,"sampleSize":2880,"query":"avg_over_time(perp_funding_hold_24h_bps{venue=\"hyperliquid\",asset=\"ETH\"}[24h])","formula":"Quoted hourly funding rate from info metaAndAssetCtxs, normalized to bps per hour and extrapolated to a 24h hold; headline is the 24h time average on ETH.","availability":"live","meta":{"observedAt":1784679888251}},{"name":"Binance","slug":"binance","tag":"Largest CEX perp book, 8h funding (4h on some pairs)","ms":{"p50":1.03018,"p90":1.58011,"p99":1.58604,"mean":3.76016},"successRate":100,"sampleSize":2880,"query":"avg_over_time(perp_funding_hold_24h_bps{venue=\"binance\",asset=\"ETH\"}[24h])","formula":"lastFundingRate from fapi premiumIndex divided by the pair's funding interval (fundingInfo, default 8h), normalized to bps per hour and a 24h hold; headline is the 24h time average on ETH.","availability":"live","meta":{"observedAt":1784679888251}},{"name":"Bybit","slug":"bybit","tag":"USDT linear perps, funding interval per instrument","ms":{"p50":2.01548,"p90":1.57075,"p99":2.77196,"mean":7.35649},"successRate":100,"sampleSize":2880,"query":"avg_over_time(perp_funding_hold_24h_bps{venue=\"bybit\",asset=\"ETH\"}[24h])","formula":"fundingRate from v5 market tickers divided by the instrument's fundingInterval (instruments-info, minutes), normalized to bps per hour and a 24h hold; headline is the 24h time average on ETH.","availability":"live","meta":{"observedAt":1784679888251}},{"name":"OKX","slug":"okx","tag":"USDT swaps, interval derived from settlement timestamps","ms":{"p50":-0.527283,"p90":0.209745,"p99":1.65513,"mean":-1.92458},"successRate":100,"sampleSize":2880,"query":"avg_over_time(perp_funding_hold_24h_bps{venue=\"okx\",asset=\"ETH\"}[24h])","formula":"fundingRate from the public funding-rate endpoint divided by the interval between fundingTime and nextFundingTime, normalized to bps per hour and a 24h hold; headline is the 24h time average on ETH.","availability":"live","meta":{"observedAt":1784679888251}},{"name":"dYdX v4","slug":"dydx","tag":"Appchain order book perps, funding settled hourly","ms":{"p50":0.049174,"p90":0.0882623,"p99":-1.05171,"mean":0.179485},"successRate":100,"sampleSize":2880,"query":"avg_over_time(perp_funding_hold_24h_bps{venue=\"dydx\",asset=\"ETH\"}[24h])","formula":"nextFundingRate (per hour) from the v4 indexer perpetualMarkets endpoint, normalized to bps per hour and extrapolated to a 24h hold; headline is the 24h time average on ETH.","availability":"live","meta":{"observedAt":1784679888251}},{"name":"Paradex","slug":"paradex","tag":"Starknet L2 perps, 8h funding accrued continuously","ms":{"p50":2.70818,"p90":1.58084,"p99":2.14233,"mean":9.88485},"successRate":100,"sampleSize":2880,"query":"avg_over_time(perp_funding_hold_24h_bps{venue=\"paradex\",asset=\"ETH\"}[24h])","formula":"funding_rate from markets summary (8 hour period), normalized to bps per hour and a 24h hold; headline is the 24h time average on ETH.","availability":"live","meta":{"observedAt":1784679888251}},{"name":"Polymarket","slug":"polymarket","tag":"Polygon perps by Polymarket, 1h funding, public info API","ms":{"p50":1.25493,"p90":2.07285,"p99":-1.84247,"mean":4.5805},"successRate":100,"sampleSize":2880,"query":"avg_over_time(perp_funding_hold_24h_bps{venue=\"polymarket\",asset=\"ETH\"}[24h])","formula":"funding_rate from the Polymarket perps tickers endpoint, native 1h settlement interval, normalized to bps per hour and a 24h hold; headline is the 24h time average on ETH.","availability":"live","meta":{"observedAt":1784679888251}},{"name":"Aster","slug":"aster","tag":"BNB Chain perps DEX, Binance compatible API, 8h funding","ms":{"p50":1.18698,"p90":1.17908,"p99":1.71167,"mean":4.33248},"successRate":100,"sampleSize":2880,"query":"avg_over_time(perp_funding_hold_24h_bps{venue=\"aster\",asset=\"ETH\"}[24h])","formula":"lastFundingRate from the Binance compatible premiumIndex endpoint divided by the pair's funding interval (default 8h), normalized to bps per hour and a 24h hold; headline is the 24h time average on 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market API rate limits, tested with a daily ramp","seoTitle":"Prediction market API rate limits 2026","seoDescription":"Prediction market API rate limits measured live: daily request ramp against Polymarket, Kalshi, Limitless, Manifold, Myriad.","seoIntro":"Every prediction market venue documents its API rate limits differently,\nand some not at all. Polymarket publishes per endpoint budgets but fronts\nits CLOB with Cloudflare, which queues bursts instead of rejecting them.\nKalshi documents a token bucket per access tier. Manifold publishes a\nper IP budget and explicitly welcomes bots. Limitless documents nothing.\nBuilders sizing a polling loop or a trading bot against these APIs need\ntwo numbers nobody publishes: the real latency of the hot endpoints at a\npolite request rate, and what actually happens as the request rate climbs.\nThis benchmark measures both. A harness in three regions probes the book,\nprice and list endpoints of each venue continuously over warm connections,\nand once a day per venue it runs a short ramp, 60 seconds per tier at\nrising request rates, recording added latency versus the same hour\nbaseline and any 429 or 5xx onset. The leaderboard sorts by warm book\nendpoint p50, the ramp results render as companion panels.\n","disclaimer":"Ramp tiers stay well inside documented budgets where they exist, at most 7 percent of Polymarket's published book allowance, and every run aborts at the first sign of sustained errors. This benchmark measures throttle onset behaviour at polite request rates, not maximum venue throughput.","faq":[{"q":"What is the Polymarket API rate limit?","a":"Polymarket documents per endpoint budgets for the CLOB API, on the order of 1500 requests per 10 seconds for the book endpoint at the time of writing. In practice the CLOB sits behind Cloudflare, which queues bursts rather than rejecting them: at our daily ramp tiers (up to 100 requests per 10s) we observe added latency instead of 429 responses. The ramp panel above shows the measured added latency per tier, refreshed daily."},{"q":"What happens if you exceed prediction market API rate limits?","a":"It depends on the venue's architecture. Kalshi runs a documented token bucket and returns 429 when the bucket is empty. Polymarket's Cloudflare front queues requests, so you see rising latency before you ever see an error. Manifold documents 500 requests per minute per IP and asks bots to stay on one IP. Limitless documents nothing. The daily ramp records which of these behaviours each venue actually exhibits at each tier."},{"q":"What is the Kalshi API rate limit?","a":"Kalshi documents tiered rate limits per access level, with the basic read tier around 20 requests per second at the time of writing. It is the only venue in this cohort with a documented token bucket. Our ramp stops at the first 429 on Kalshi out of respect for that documented contract, and the tier where it happens (or does not) is recorded in the ramp panel."},{"q":"Which prediction market has the fastest API?","a":"Polymarket currently has the lowest warm book endpoint latency at 200 ms (p50 over the last 24h). Note what this does and does not measure: it is the latency of the venue's own public API over a warm connection at a polite request rate, per region. It is not data freshness via third party providers, which is a separate benchmark (pm-data-freshness)."},{"q":"Does Manifold have an API rate limit?","a":"Yes, 500 requests per minute per IP, documented, and Manifold explicitly welcomes bots as long as they stay on a single IP. Be aware that the whole API is served behind a cache with max-age=5 and stale-while-revalidate=10, so polling faster than every 6 seconds mostly returns cached responses. Our probes space out to 7 seconds per URL and label every sample that still comes back from cache."},{"q":"What are the Limitless API rate limits?","a":"Limitless does not document rate limits. Our ramp therefore uses the most conservative tiers in the cohort (10/20/40 requests per 10s) with an automatic abort. One measured behaviour worth knowing: error responses are CDN cached for four hours, so a request for an expired market keeps returning the same cached 400 long after the market resolved. A client that does not handle this will misread the API's state for hours."},{"q":"How do you test rate limits without abusing the APIs?","a":"Four guardrails. Tiers stay well inside documented budgets where they exist (at most 7 percent of Polymarket's book allowance). Every run aborts as soon as throttled plus server errors exceed 1 percent of a 10 second window, and Kalshi stops at the first 429. Only one region ramps a venue at a time, on disjoint UTC hours. And every request carries an identifying User-Agent with a contact address, so a venue can reach us or filter us selectively. The measurement is throttle onset, not stress to failure."},{"q":"Why measure the venue APIs directly instead of a data provider?","a":"They answer different questions. If you build directly on a venue, its native API latency and throttle behaviour set your floor, and that is what this benchmark measures. If you consume the venue through a data provider such as Mobula or Codex, what matters is how fresh the provider's relay is, which is measured separately in the pm-data-freshness benchmark. Both pages link each other so you can compare the paths."}],"perChainExplainer":[{"slug":"polymarket","h2":"Polymarket API rate limits","body":"Polymarket's CLOB API documents per endpoint budgets (around 1500 requests per 10s for the book endpoint) and sits behind Cloudflare. At our ramp tiers it queues instead of returning 429, so the honest throttle signal is added latency, shown in the ramp panel. The book endpoint embeds a millisecond timestamp, making Polymarket one of only two venues here whose data age is verifiable. Warm book p50: 200 ms."},{"slug":"kalshi","h2":"Kalshi API rate limits","body":"Kalshi documents a token bucket per access tier, around 20 requests per second for basic read access. Its order book and single market endpoints go to origin on every request, but the market list is served from CloudFront with max-age=15, so list reads measure the edge. The WebSocket requires authentication, so Kalshi is absent from the WS panel. Our ramp stops at the first 429. Warm book p50: 330 ms."},{"slug":"limitless","h2":"Limitless API rate limits","body":"Limitless documents no rate limits, so it gets the most conservative ramp in the cohort (10/20/40 per 10s, auto abort). Measured quirk: error responses are CDN cached for four hours, so one expired market keeps answering with the same 400 long after resolution. The harness treats those as probe_invalid and re pins rather than counting them against the venue. Warm book p50: 323 ms."},{"slug":"manifold","h2":"Manifold API rate limits","body":"Manifold documents 500 requests per minute per IP and explicitly welcomes bots on a single IP. The entire API is served behind max-age=5 plus stale-while-revalidate=10, so any client polling faster than every 6 seconds mostly reads cache; our probes space to 7 seconds and label residual cache hits. Manifold is an AMM, so the book class probes the bets feed, and lastUpdatedTime makes its data age verifiable. Warm p50: 325 ms."},{"slug":"myriad","h2":"Myriad API rate limits","body":"Myriad's keyless budget is 30 requests per 10 seconds, the tightest in the cohort, which is why it is excluded from the ramp: ramping it would measure our own quota, not the API. There is no order book endpoint and no WebSocket. The origin is a single region Heroku deployment in US East, so latency from Europe and Asia reflects geography, reported as measured. Warm price endpoint p50: 1.27 s."}],"subtitle":"Warm latency on book, price and list endpoints of five prediction market venue APIs, plus a daily rate limit ramp that records added latency and throttle onset per request tier.","category":"Trading","status":"live","editorialStatus":"live","metric":"Warm book latency","unit":"ms","higherIsBetter":false,"abstract":"Each venue is probed on three endpoint classes: book (the order book of a\npinned market, or its closest equivalent), price (a single market quote)\nand list (the venue's market listing). Probes run every 5 to 7 seconds\nover a warm keep alive pool, with a separate cold connect probe once a\nminute that forces a fresh TCP and TLS handshake. Every sample records\nfull round trip, time to first byte and a CDN cache flag taken from the\nresponse headers, because some venues serve part of their API from an\nedge cache and a cached read says nothing about the API origin. The\npinned market is re selected daily at 00:00 UTC, most liquid, near the\nmoney, expiring more than 24 hours out, and immediately re pinned when a\nvenue starts answering with errors that are really our pin's fault, such\nas a market that resolved intraday. Those samples are classified\nprobe_invalid and never count against the venue. The daily ramp fires\nfrom one region at a time on disjoint UTC hours, 60 seconds per tier at\nrates that stay well inside documented budgets where they exist, and\naborts the moment throttled plus server errors exceed 1 percent of a 10\nsecond window.\n","methodology":["Endpoint classes per venue. Polymarket: CLOB `/book`, `/midpoint`, Gamma `/markets`. Kalshi: `/markets/{ticker}/orderbook`, `/markets/{ticker}`, `/markets`. Limitless: `/markets/{slug}/orderbook`, `/markets/{slug}`, `/markets/active`. Manifold: `/v0/bets`, `/v0/market/{id}`, `/v0/markets`. Myriad: `/markets/{slug}`, `/markets`. Myriad exposes no order book endpoint; that absence is reported, not worked around.","Pinned market per venue: most liquid, near the money (price between 0.15 and 0.85), expiring more than 24h out. Re pinned daily at 00:00 UTC and immediately on probe_invalid. A degenerate 0.99 book has a latency profile that does not represent real usage.","Warm probes every 5s (7s on Manifold, whose entire API sits behind max-age=5 plus stale-while-revalidate=10; tighter spacing would only measure the cache). Cold connect probe once per minute with keep alives disabled, TCP plus TLS handshake recorded separately.","Every sample records a cache flag from cf-cache-status, x-cache and age headers. Kalshi's market list is served from CloudFront with max-age=15, so its list latency measures the edge, not the API. Edge served samples (cache=hit) are excluded from every latency aggregate and reported through the cache label, so no venue ranks on its CDN.","Outcome classification: ok, timeout (8s), http_4xx, http_5xx, throttled (429), probe_invalid, net_error. Latency aggregates include successful requests only; failures count toward the success rate. probe_invalid covers stale pins, e.g. Limitless serves a CDN cached 400 for four hours once a market expires. Those are our fault, never the venue's.","Daily ramp: 60s per tier at rising requests per 10s window against the book endpoint, one venue at a time, one region at a time on disjoint UTC hours (02:00 us-east, 04:00 eu-west, 06:00 sgp).","Ramp tier clamps: Polymarket and Kalshi 25/50/100 per 10s (at most 7 percent of Polymarket's documented 1500 per 10s book budget), Manifold 15/30/60 (500 req/min per IP documented), Limitless 10/20/40 (limits undocumented, so conservative). Kalshi stops at the first 429 since its token bucket is documented. Myriad is excluded: its keyless budget is 30 req per 10s and ramping it would only measure our own quota.","Ramp abort guard: the run stops the moment throttled plus 5xx responses exceed 1 percent of any 10 second window. The headline ramp metric is p50 latency during the tier minus the warm baseline p50 of the previous hour in the same region, because venues behind Cloudflare queue bursts without ever returning 429, and added latency is the only honest throttle signal there.","WebSocket panel covers venues with a public market WebSocket, which today means Polymarket only. Kalshi requires authentication for WS, Manifold and Myriad have none, Limitless uses socket.io. Absence is shown, not penalized.","Myriad's origin is a single region US East deployment behind Heroku. Latency from eu-west and sgp is geography, reported as measured.","All probes hit documented public developer APIs with the identifying User-Agent `OpenChainBench/1.0 (+https://openchainbench.com/methodology; contact@mobula.io)`. We publish latency measurements only, never order book contents or prices, in line with venue data redistribution terms (Kalshi's in particular, applied to all venues equally).","Regions: us-east, eu-west, sgp (Railway). Histogram buckets 25ms to 10s."],"findings":["Polymarket answers its book endpoint at 200 ms p50 over warm connections. Cloudflare in front of the CLOB queues our ramp tiers instead of returning 429, so its throttle behaviour shows up as added latency in the ramp panel rather than as errors.","Kalshi is the only venue in the cohort with a documented token bucket, and the only one whose market list is CDN cached (CloudFront, max-age=15). Its single market and order book endpoints go to origin on every request.","Limitless documents no rate limits and caches error responses at the CDN for four hours, so one expired market turns into hours of misleading 400s for a naive client. The harness classifies those as probe_invalid and re pins instead of counting them against the venue.","Server reported data age exists on two venues only: Polymarket embeds a millisecond timestamp in every book response and Manifold exposes lastUpdatedTime per market. Kalshi, Limitless and Myriad return order data with no timestamp at all, so a consumer cannot tell how old it is.","Myriad has no order book endpoint and no WebSocket; its API is a single region Heroku deployment, so latency from Europe and Asia is dominated by geography."],"source":"https://github.com/ChainBench/OpenChainBench/tree/main/harnesses/pm-rate-limits","dimensions":{"region":[{"value":"all","label":"All regions"},{"value":"us-east","label":"US East"},{"value":"eu-west","label":"EU West"},{"value":"sgp","label":"Singapore"}]},"ledgerColumns":[{"label":"Warm book p50","slot":"p50"},{"label":"p99","slot":"p99"},{"label":"Ramp peak added","panel":"ramp_added_latency"},{"label":"Server data age","panel":"book_staleness"}],"results":[{"name":"Polymarket","slug":"polymarket","tag":"CLOB behind Cloudflare, documented per endpoint budgets, queues under load","ms":{"p50":200.258,"p90":240.464,"p99":249.511,"mean":178.235},"successRate":100,"sampleSize":51834.6,"query":"1000 * histogram_quantile(0.50, sum(rate(pmapi_request_duration_seconds_bucket{cache!=\"hit\",venue=\"polymarket\",class=\"book\",conn=\"warm\"}[24h])) by (le))","formula":"p50 of warm full round trips against the CLOB book endpoint for the pinned market, successful requests only, 24h window.","availability":"live","meta":{"observedAt":1784679894912}},{"name":"Kalshi","slug":"kalshi","tag":"Documented token bucket, book and market go to origin, list is CloudFront cached","ms":{"p50":329.643,"p90":394.461,"p99":583.842,"mean":285.258},"successRate":100,"sampleSize":51834.5,"query":"1000 * histogram_quantile(0.50, sum(rate(pmapi_request_duration_seconds_bucket{cache!=\"hit\",venue=\"kalshi\",class=\"book\",conn=\"warm\"}[24h])) by (le))","formula":"p50 of warm full round trips against the order book endpoint for the pinned ticker, successful requests only, 24h window. The CDN cached list endpoint is reported separately and never feeds this number.","availability":"live","meta":{"observedAt":1784679894912}},{"name":"Limitless","slug":"limitless","tag":"Undocumented limits, errors CDN cached 4h, CLOB order book","ms":{"p50":323.494,"p90":392.12,"p99":1333.19,"mean":335.044},"successRate":99.9981,"sampleSize":51833.4,"query":"1000 * histogram_quantile(0.50, sum(rate(pmapi_request_duration_seconds_bucket{cache!=\"hit\",venue=\"limitless\",class=\"book\",conn=\"warm\"}[24h])) by (le))","formula":"p50 of warm full round trips against the order book endpoint for the pinned CLOB market, successful requests only, 24h window. CDN cached error responses on stale pins are classified probe_invalid and excluded.","availability":"live","meta":{"observedAt":1784679894912}},{"name":"Manifold","slug":"manifold","tag":"AMM, 500 req/min per IP documented, whole API behind a 5s cache","ms":{"p50":325,"p90":385,"p99":398.5,"mean":373.469},"successRate":99.9973,"sampleSize":37025.7,"query":"1000 * histogram_quantile(0.50, sum(rate(pmapi_request_duration_seconds_bucket{cache!=\"hit\",venue=\"manifold\",class=\"book\",conn=\"warm\"}[24h])) by (le))","formula":"p50 of warm round trips against the bets feed (the AMM book equivalent), successful requests only, 24h window. Edge cache hits are excluded; the number reflects origin reads only.","availability":"live","meta":{"observedAt":1784679894912}},{"name":"Myriad","slug":"myriad","tag":"No order book endpoint, no WebSocket, single region Heroku origin, keyless 30 req/10s","ms":{"p50":1267.24,"p90":1481.52,"p99":2469.05,"mean":1342.93},"successRate":99.3738,"sampleSize":51749.3,"query":"1000 * histogram_quantile(0.50, sum(rate(pmapi_request_duration_seconds_bucket{cache!=\"hit\",venue=\"myriad\",class=\"price\",conn=\"warm\"}[24h])) by (le))","formula":"p50 of warm full round trips against the single market endpoint (Myriad exposes no order book, so the price class is its hot path), successful requests only, 24h window. Cross region latency reflects the single US East origin.","availability":"live","meta":{"observedAt":1784679894912}}],"extras":{"series24h":{"polymarket":[200.21,200.234,200.234,200.187,200.21,200.21,200.234,200.14,200.093,200.163,200.187,200.187,200.21,200.469,200.564,200.469,200.21,200.047,200.047,200.093,200.116,200.116,200.187,200.21,200.234,200.116,200.116,200.21,200.281,200.375,200.375,200.351,200.281,200.234,200.328,200.351,200.398,200.469,200.398,200.422,200.257,200.422,200.304,200.328,200.21,200.281,200.281,200.21,200.234,200.304,200.422,200.351,200.281,200.234,200.304,200.328,200.304,200.187,200.163,200.14,200.163,200.163,200.163,200.14,200.21,200.234,200.257,200.163,200.21,200.257,200.398,200.351,200.423],"kalshi":[319.936,318.26,317.5,316.227,320.191,333.862,337.887,335.903,329.353,329.627,330.663,330.663,331.974,332.688,332.519,330.784,331.068,331.974,333.545,333.157,331.19,329.627,328.123,328.161,328.275,328.504,327.635,328.161,329.785,329.864,328.465,326.241,326.169,326.675,327.263,328.618,329.042,329.824,331.477,333.98,335.994,335.584,332.816,330.381,329.275,330.142,331.272,330.022,329.12,328.427,329.785,331.272,331.891,332.267,332.057,332.901,331.891,330.946,329.588,329.51,330.102,330.142,329.824,329.081,328.965,329.353,329.706,329.943,330.142,328.106,325.412,324.117,324.605],"limitless":[326.638,326.098,324.645,324.442,324.523,323.511,320.79,315.441,316.441,320.46,325.315,326.453,325.885,322.404,322.174,323.264,326.145,325.836,325.116,322.262,321.636,321.187,323.358,324.838,326.337,327.515,326.228,323.854,320.947,320.802,323.563,325.97,326.625,324.801,323.253,321.814,322.068,323.366,323.644,323.193,321.857,322.534,324.099,324.921,325.158,324.006,322.44,322.559,323.783,325.575,325.231,325.936,326.02,326.168,325.192,324.846,324.612,325.274,325.719,325.925,324.512,324.402,324.518,323.751,321.236,320.172,321.842,324.644,324.45,322.36,319.836,318.75,318.125],"manifold":[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,325,325,325,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null],"myriad":[1264.32,1264.45,1262.25,1260.63,1262.43,1262.68,1261.81,1258.91,1258.11,1257.24,1256.99,1258.78,1261.05,1261.41,1260.39,1259.2,1260.53,1262.59,1266.26,1271.1,1268.79,1273.8,1274.29,1277.87,1268.73,1266.38,1263.52,1264.36,1264.99,1267.63,1268.23,1264.29,1261.45,1259.43,1262.2,1263.75,1268.7,1267.09,1267.9,1268.74,1271.32,1272.49,1272.22,1276.44,1287.51,1290.09,1285.85,1275.88,1270.34,1269.2,1271.13,1271.83,1276.45,1273.18,1277.02,1272.56,1276.56,1273.02,1274.39,1267.22,1263.01,1258.96,1260.47,1264.21,1266.21,1271.85,1269.92,1266.41,1260.79,1260.67,1264.88,1267.58,1267.71]},"series7d":{"polymarket":[201.904,203.829,204.872,208.515,209.618,212.932,207.854,201.856,201.657,200.445,200.78,203.614,202.617,201.312,201.484,201.732,201.756,200.14,200.304,200.375,200.14,200.731,200.234,200.375,200.163,200.304,200.281,200.234,200.281,200.281,200.116,200.351,200.328,200.375,200.234,200.398,200.304,200.21,200.422,200.234,200.257,200.54,200.187,200.234,200.304,200.163,200.163,200.187,200.187,200.187,200.257,200.163,200.07,200.21,200.023,200.234,200.233,200.21,200.234,200.116,200.14,200.163,200.116,200.163,200.163,200.21,200.163,200.328,200.163,200.375,200.398,200.257,200.21,200.234,200.21,200.047,200.234,200.375,200.398,200.304,200.234,200.304,200.163,200.257,200.423],"kalshi":[309.961,325.316,323.438,330.019,331.545,332.74,331.199,319.817,328.694,324.177,326.264,329.638,328.814,331.766,332.141,331.272,322.199,326.277,325.544,318.144,326.751,328.048,336.132,279.186,280.372,278.793,290.352,289.862,289.598,247.684,245.798,288.914,289.288,287.817,274.803,279.921,278.596,263.829,285.054,273.826,236.944,276.981,280.69,288.492,288.531,289.303,288.6,325.953,326.277,325.918,275.913,278.474,339.526,326.061,326.494,326.241,325.561,325.706,325.983,328.086,325.882,326.386,308.156,308.17,327.189,331.639,331.767,329.275,318.066,314.023,311.179,332.435,319.936,337.887,331.974,333.545,328.275,328.465,329.042,332.816,329.12,332.057,330.102,329.706,324.605],"limitless":[283.111,287.137,286.534,293.366,294.144,300.926,294.428,289.144,287.343,289.053,290.296,293.483,292.875,285.501,289.138,288.362,286.775,323.253,325.159,323.531,327.783,323.99,324.647,325.803,323.045,323.24,322.788,325.156,326.502,325.118,326.496,324.998,322.898,323.506,326.099,322.981,324.463,324.45,322.248,324.301,322.791,325.121,322.493,320.848,325.284,322.971,319.667,318.318,316.012,319.109,325.273,323.585,323.346,323.547,324.08,324.329,321.71,322.655,318.894,322.429,326.03,324.883,325.854,325.979,325.157,326.244,324.963,328.211,325.196,328.187,326.586,328.309,326.638,320.79,325.885,325.116,326.337,323.563,322.068,324.099,323.783,325.192,324.512,321.842,318.125],"manifold":[null,null,null,null,325.3,null,null,5000,null,null,null,1250.65,null,null,null,null,325,null,null,null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The other venues embed no timestamp at all.","metric":"avg(avg_over_time(pmapi_book_staleness_seconds{}[24h]))","unit":"s","higherIsBetter":false,"tab":true,"values":{"polymarket":30.5132,"manifold":19905.7},"seriesByProvider":{"polymarket":[3.98711,4.06445,4.14041,4.21996,4.30525,4.37105,4.41008,4.37283,4.37684,4.39111,4.40124,4.41867,9.60615,30.3719,30.4356,30.4705,30.4944,30.5296,30.5437,30.574,30.6116,30.6311,30.6609,30.7052,30.7222,30.7446,30.7558,30.7666,30.7598,30.7573,30.7741,30.7957,30.8049,30.8294,30.8131,30.819,30.8112,30.8149,30.802,30.8021,30.8289,30.8571,30.8624,30.8642,30.8859,30.8996,30.8969,30.886,30.8931,30.9114,30.9232,30.9304,30.9211,30.9172,30.8758,30.8601,30.8613,30.867,30.8421,30.8355,30.8176,30.7956,30.7799,30.7457,30.7198,30.7127,30.6906,30.6713,30.6492,30.6279,30.5898,30.5321,30.5132],"manifold":[36461.5,35796.8,35132,34467.3,33803.7,33139,32474.3,31809.7,31145,30480.3,29815.6,29151,28486.3,27821.6,27156.9,26492.3,25827.6,25162.9,24498.2,23833.6,23168.9,22504.2,21839.5,21174.9,20510.2,19848.9,19184.2,18519.6,17855,17190.3,16525.7,15861.1,15348.7,15348.8,15335.8,15335.8,15335.8,15335.8,15331.2,15329.7,15329.8,15329.8,15329.9,15329.9,15330,15330,15330,15330.1,15330.1,15330.2,15330.2,15330.3,15330.3,15330.4,15352,15721.6,16091.2,16460.7,16830.3,17199.9,17569.5,17939.1,18308.7,18678.3,19047.9,19417.5,19787.1,20156.6,20526.2,20499.5,20259.3,20019.2,19905.7]},"seriesByProvider7d":{"polymarket":[3.308,3.42585,3.43625,3.55643,3.55935,3.56068,3.62732,3.77294,3.91148,3.90126,3.94991,3.91089,3.78891,3.38813,3.37289,3.09307,2.83034,2.53751,2.26571,1.96594,1.66257,1.47714,1.45193,1.4285,1.24677,1.31678,1.11291,1.10629,1.09539,1.15747,1.13757,1.13776,1.18825,1.32299,1.42241,1.65675,1.8485,1.82589,1.79028,1.79646,1.85612,1.80847,1.83644,1.83616,1.82578,1.75184,1.64196,1.38932,1.22481,1.30391,1.29556,1.3151,1.40178,1.62471,1.76204,1.92281,1.99305,2.0128,2.06612,2.16802,2.20897,2.05124,2.37863,2.57808,2.58235,2.53979,2.5547,2.56114,2.69391,2.95223,3.24137,3.57389,3.98711,4.41008,9.60615,30.5437,30.7222,30.7741,30.8112,30.8624,30.8931,30.8758,30.8176,30.6906,30.5132],"manifold":[64828.1,68424.9,72020.3,75612.8,79194.7,82756.4,86098.1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1277.37,4409.2,7968.18,11549.1,15115.9,18715.9,22315.8,25915.8,29515.8,33115.8,32105.4,30109,30824.5,32080.5,33425.7,34771,36111.6,37455.8,38801,40146.1,41491.3,42834.4,43268,43295.3,43284.2,43252.1,41030.3,38808.4,36461.5,32474.3,28486.3,24498.2,20510.2,16525.7,15335.8,15329.9,15330.1,15352,17569.5,19787.1,19905.7]},"seriesByProvider30d":{"polymarket":[1.59399,0.89328,1.46466,1.29226,1.0813,25.1224,24.1279,1.60443,1.19107,0.988824,0.981617,0.917319,1.08728,1.3395,1.56829,1.74328,1.36163,1.26793,1.27481,23.3005,23.4403,1.5738,1.65911,1.79074,2.06924,1.83846,1.4716,1.47296,1.5431,1.43981,1.30496,1.15896,1.19639,1.70598,2.10814,2.64387,2.55174,2.70127,2.36925,1.14637,1.66931,2.61466,3.17948,3.54302,3.84107,4.0535,3.308,3.62732,3.78891,2.26571,1.24677,1.13757,1.8485,1.83644,1.22481,1.76204,2.20897,2.5547,3.98711,30.8112,30.5132],"manifold":[29391.2,24564.9,43481.5,43480.3,34802.1,22836.7,21999.5,22072.1,16929.7,22216.2,20781.1,28073.9,34650.6,43293.6,43283,33342.2,28344.2,43183.8,43909.9,42956.6,43211.1,43195.8,43208.4,43222,43263.5,43287.3,43243.5,43219.7,43222.6,43184.9,43186.5,43217.3,43235.2,43287.4,43302.2,43293.7,43311,43262.9,43305.3,25910.5,38452.7,59947.1,77957.5,86397.3,54756.3,43243.9,64828.1,86098.1,null,null,null,null,null,null,15115.9,32105.4,36111.6,43268,36461.5,15335.8,19905.7]},"valuesMeta":{"polymarket":{"observedAt":1784679894912},"manifold":{"observedAt":1784679894912}}}],"sampleSize":244277.5,"lastRunAt":"2026-07-22T00:24:42.506Z","cellRanks":{"all|eu-west":[{"slug":"polymarket","p50":200.26479660129198},{"slug":"limitless","p50":322.281149301826},{"slug":"kalshi","p50":327.8052022023923},{"slug":"myriad","p50":1267.223088923557}],"all|sgp":[{"slug":"polymarket","p50":200.26182579856868},{"slug":"limitless","p50":323.8643126363817},{"slug":"manifold","p50":325},{"slug":"kalshi","p50":329.31050312155713},{"slug":"myriad","p50":1265.446295375435}],"all|us-east":[{"slug":"polymarket","p50":200.24725114899064},{"slug":"limitless","p50":324.30837148463047},{"slug":"kalshi","p50":331.82076544145514},{"slug":"myriad","p50":1269.0696649029983}]},"dataAsOf":1784679894912},{"slug":"pm-api-latency","number":"038","title":"Best prediction market API, ranked by live latency and uptime","seoTitle":"Best prediction market API 2026","seoDescription":"Is the Polymarket API up? Live uptime and latency for Polymarket, Kalshi, Limitless, Manifold, Myriad price endpoints.","seoIntro":"When the Polymarket API stops answering, the only pages that notice are\ndowndetector clones aggregating complaints. None of them actually probe\nthe API. This benchmark does. A harness in three regions requests the\nprice endpoint of Polymarket, Kalshi, Limitless, Manifold and Myriad\nevery 5 seconds over warm connections, records every round trip, and\npublishes two things venue status pages do not: a latency leaderboard\nranking the best prediction market API by measured p50, and a per venue\nuptime panel computed from the same probes. If you are here to check\nwhether the Polymarket API is up right now, the uptime panel below is a\ndirect measurement, refreshed continuously, not a complaint counter.\nIf you are choosing which venue API to build on, the leaderboard ranks\nthem by the latency of the one endpoint every integration hits hardest,\nthe single market price quote.\n","disclaimer":"Uptime here means our probes succeeded from three specific regions at a polite request rate. A venue can be up for us and degraded for you, especially during regional network incidents, and a brief blip between probe cycles can go unrecorded. Treat the panel as a measured signal, not a guarantee.","faq":[{"q":"Is the Polymarket API up right now?","a":"Check the uptime panel above, it is a direct measurement, not a complaint counter. Our harness requests Polymarket's CLOB midpoint endpoint every 5 seconds from three regions (US East, EU West, Singapore) and computes a health gauge from the outcomes. The 24h uptime figure shown for Polymarket is the average of that gauge, so 100 percent means every probe cycle in the last 24 hours succeeded from every region. If Polymarket is having a partial outage, you will usually see it first as a dip in one region's health or a spike in the latency series before it shows as a hard failure."},{"q":"What is the best prediction market API?","a":"By measured latency, Limitless currently leads with a 104 ms p50 on its price endpoint over warm connections in the last 24h. But best depends on what you need: Polymarket has the deepest CLOB and a public WebSocket, Kalshi is the regulated US venue with a documented API contract, Manifold explicitly welcomes bots, Limitless is a CLOB with no API documentation to speak of, and Myriad has the smallest API surface. This leaderboard gives you the one number none of their docs publish, real latency and uptime measured continuously from three regions."},{"q":"Does Kalshi have a public API?","a":"Yes. Kalshi exposes a public REST API for market data, including the single market endpoint we probe, without authentication. Trading and the WebSocket feed require an account and API credentials. It is also the only venue in this cohort with a documented request budget per access tier. Its measured latency and uptime are on this page; how it behaves under rising request rates is covered in the pm-rate-limits benchmark."},{"q":"How do you measure Polymarket API status and outage history?","a":"Every 5 seconds, from three regions, the harness requests the midpoint of a pinned liquid market over a warm connection and classifies the outcome (ok, timeout, 4xx, 5xx, network error). The health gauge derived from those outcomes feeds the 24h and 7d uptime panels, and the latency time series keeps the shape of past incidents: an outage shows up as a gap or a spike you can scroll back to. Failures caused by our own pin going stale, for example a market that resolved intraday, are classified probe_invalid and excluded from both uptime and latency."},{"q":"Why is the Myriad API slower from Europe and Asia?","a":"Geography. Myriad's origin is a single region Heroku deployment in US East, with no multi region presence and no order book or WebSocket endpoints. From eu-west and Singapore every request pays a transatlantic or transpacific round trip before the API does any work. Use the region selector to compare venues from your own region; from us-east, Myriad's API is much closer to the rest of the cohort."},{"q":"Why do latency numbers exclude CDN cache hits?","a":"Because a cache hit measures the distance to the nearest edge node, not the venue's API. Manifold serves its entire API behind a 5 second cache and Kalshi's market list sits on CloudFront, so a naive average would mostly rank CDN proximity. Every sample carries a cache flag read from the response headers, and the headline aggregates only non cached, successful requests. The number you see is what a client polling for fresh quotes actually experiences at the origin."},{"q":"Does this benchmark cover throttling or data providers?","a":"No, deliberately. What happens to each venue's API as request rates climb, including 429 onset and queueing behaviour, is its own benchmark, pm-rate-limits, which runs a careful daily ramp. And if you consume venue data through a provider such as Mobula or Codex rather than calling the venue directly, the relevant number is relay freshness, measured in pm-data-freshness. This page answers two narrower questions: which venue API is fastest at a polite request rate, and is it up right now."}],"perChainExplainer":[{"slug":"polymarket","h2":"Polymarket API latency","body":"Polymarket's CLOB answers its midpoint endpoint at 200 ms p50 over warm connections (24h). The API fronts Cloudflare, so brief origin trouble often appears here as a latency spike before it ever becomes an error, which makes the latency series a useful early status signal. The uptime panel above is a live Polymarket API status check, computed from probes fired every 5 seconds from three regions, so it reacts within seconds of a real outage instead of waiting for user reports. For how the CLOB behaves under bursts, see the pm-rate-limits bench."},{"slug":"kalshi","h2":"Kalshi API latency","body":"Kalshi's public single market endpoint goes to origin on every request and currently answers at 328 ms p50 warm (24h). That makes its uptime figure here a clean origin measurement, unlike its CDN cached market list. Kalshi is the regulated US venue and the only one in the cohort with a documented API contract, so an unexplained dip in its health gauge is more notable than elsewhere. If Kalshi's API seems down for you, compare the per region figures: a single region dip usually means a network issue, not a venue outage."},{"slug":"limitless","h2":"Limitless API latency","body":"Limitless answers its market endpoint at 104 ms p50 warm (24h). One measured behaviour matters for anyone checking whether the Limitless API is down: its CDN caches error responses for four hours, so a request for an expired or resolved market keeps returning the same 400 long after the fact. A client seeing persistent errors on one market while this page shows healthy uptime is almost certainly holding a stale market reference, not witnessing an outage. Our harness re pins immediately and excludes those samples."},{"slug":"manifold","h2":"Manifold API latency","body":"Manifold's API sits entirely behind a CDN cache (max-age=5 plus stale-while-revalidate=10), which complicates both latency and status measurement: a cached 200 can mask a struggling origin for a few seconds. Our probes space to 7 seconds, label every residual cache hit, and the 1.00 s p50 shown here counts origin responses only. For uptime this cuts the other way, the cache absorbs brief origin blips, so Manifold's measured availability is high and its real failure mode is stale data rather than errors."},{"slug":"myriad","h2":"Myriad API latency","body":"Myriad's API is a single region Heroku deployment in US East with no order book endpoint and no WebSocket. Its cohort worst 1.27 s p50 (24h, all regions) is mostly geography: from eu-west and Singapore every request crosses an ocean first. When checking whether the Myriad API is down, look at the us-east region figure, since a global latency rise that spares us-east is network weather, not a venue incident. Myriad also runs the tightest keyless request budget in the cohort, covered in the pm-rate-limits bench."},{"slug":"predexon","h2":"Predexon API latency","body":"Predexon is a multi-venue aggregator that unifies Polymarket, Kalshi and Limitless behind one schema. Its API answers at 347 ms p50 (24h, all regions), measured on the same market-price endpoint the harness probes on the native venues, so the direct comparison of a unified aggregator against three venue-native APIs is head to head. Predexon aggregates upstream data; a Predexon latency higher than the sum of its three underliers is the cost of unification. Lower is the value of having one contract instead of three."}],"subtitle":"Warm price endpoint latency of five prediction market venue APIs from three regions, plus a live uptime panel that answers whether each API is up right now.","category":"Trading","status":"live","editorialStatus":"live","metric":"API latency (price endpoint)","unit":"ms","higherIsBetter":false,"abstract":"Each venue's price endpoint, the single market quote that every bot,\ndashboard and integration polls hardest, is probed every 5 seconds (7 on\nManifold) from us-east, eu-west and Singapore over a warm keep alive\npool. Every sample records full round trip, time to first byte and a CDN\ncache flag from the response headers. Latency aggregates exclude CDN\ncache hits, because a cached read measures the edge, not the API, and\nManifold's entire API sits behind a 5 second cache. The headline is the\n24h p50 of warm, non cached price requests. Uptime per venue is the 24h\nand 7d average of a health gauge derived from the same probes, so \"is\nthis API up\" is answered by direct measurement from three regions rather\nthan by user reports. Samples that fail because our pinned market\nexpired are classified probe_invalid and never count against the venue.\nThird party data aggregators that resell venue prices (Mobula, Codex,\nPredexon) are tracked separately in the pm-data-freshness bench and on\nthe data feeds tab of the prediction markets hub. This page ranks the\nfive venues' own APIs only, so the leaderboard answers one clean\nquestion: which prediction market venue API is fastest right now.\n","methodology":["Price endpoint per venue. Polymarket: CLOB `/midpoint`. Kalshi: `/markets/{ticker}`. Limitless: `/markets/{slug}`. Manifold: `/v0/market/{id}`. Myriad: `/markets/{slug}`. This is the hot path of real integrations: one market, one quote, polled in a loop.","Warm probes every 5s (7s on Manifold, whose API sits behind max-age=5 plus stale-while-revalidate=10) from us-east, eu-west and sgp over a keep alive pool. A separate cold connect probe once per minute records the TCP plus TLS handshake a brand new client pays.","Every sample carries a cache flag read from cf-cache-status, x-cache and age headers. Latency aggregates exclude cache hits: a CDN hit measures the nearest edge, not the venue's API, and including Manifold's residual cache hits would flatter it by design.","Uptime is the average of a per venue, per region health gauge (pmapi_health) computed by the harness from probe outcomes. 100 percent means every probe cycle in the window succeeded from that region. The 24h and 7d panels below are the live answer to whether each API is up.","Outcome classification: ok, timeout (8s), http_4xx, http_5xx, throttled, probe_invalid, net_error. probe_invalid covers failures that are our pin's fault, such as a market that resolved intraday; those are excluded from both latency and uptime. The pinned market is re selected daily at 00:00 UTC and immediately on probe_invalid.","Division of labor with the sibling benches: how each venue behaves as request rates climb, including throttle onset and 429 handling, is measured in pm-rate-limits (bench 037). How fresh third party data providers relay Polymarket data is measured in pm-data-freshness (bench 032). This bench ranks the venues' own APIs on latency and uptime at a polite request rate.","Myriad's origin is a single region US East deployment behind Heroku, so its latency from eu-west and sgp is dominated by geography. Reported as measured, called out per region.","All five venues are probed by the same open source harness as bench 037, from the same processes, so the two benches share one probe budget and one identifying User-Agent: `OpenChainBench/1.0 (+https://openchainbench.com/methodology; contact@mobula.io)`. We publish latency and uptime measurements only, never market data.","Aggregators that resell venue data (Mobula, Codex, Predexon) are deliberately excluded from this leaderboard. They are not venue APIs, they are relays on top of venue APIs, and ranking them next to the venues they relay would compare two different products on one axis. Their freshness lag against the Polymarket CLOB T0 stream is the relevant metric, measured in the pm-data-freshness bench. The prediction markets hub data feeds tab lists each aggregator with the venues it covers.","Regions: us-east, eu-west, sgp (Railway). Histogram buckets 25ms to 10s."],"findings":["Limitless currently has the lowest warm price endpoint latency at 104 ms p50 over the last 24h, making it the fastest prediction market API in the cohort by direct measurement.","All five venue APIs typically sit above 99 percent measured uptime; the gaps that do appear are short and regional, which is exactly what a complaint based status page cannot tell you. The uptime panels show the live 24h and 7d figures per venue.","Manifold would look faster than it is if cache hits counted: its whole API sits behind a 5 second CDN cache. With cache hits excluded its origin answers at 1.00 s p50, an honest number a trading bot polling fresh quotes will actually see.","Myriad serves every region from a single US East origin, so its cohort worst p50 of 1.27 s is mostly geography. Switch the region dimension to us-east to see the API itself rather than the speed of light.","Polymarket answers its midpoint endpoint at 200 ms p50. Because we probe it every 5 seconds from three regions, the uptime panel doubles as a Polymarket API status check that updates continuously instead of waiting for user reports.","For builders who consume venue data through a managed relay, the relevant question is freshness lag, not request latency. Mobula, Codex and Predexon are measured in the pm-data-freshness bench (T0 against the Polymarket CLOB stream). The prediction markets hub data feeds tab lists each aggregator with the venues it covers."],"source":"https://github.com/ChainBench/OpenChainBench/tree/main/harnesses/pm-rate-limits","dimensions":{"region":[{"value":"all","label":"All regions"},{"value":"us-east","label":"US East"},{"value":"eu-west","label":"EU West"},{"value":"sgp","label":"Singapore"}],"venue":[{"value":"all","label":"All venues"},{"value":"polymarket","label":"Polymarket"},{"value":"kalshi","label":"Kalshi"},{"value":"limitless","label":"Limitless"},{"value":"manifold","label":"Manifold"},{"value":"myriad","label":"Myriad"}]},"ledgerColumns":[{"label":"Warm price p50","slot":"p50"},{"label":"p99","slot":"p99"},{"label":"Uptime 24h","panel":"uptime_24h","windows":{"7d":"uptime_7d","30d":"uptime_30d"}}],"results":[{"name":"Polymarket","slug":"polymarket","tag":"CLOB midpoint endpoint behind Cloudflare, public WebSocket, deepest books","ms":{"p50":200.242,"p90":240.436,"p99":249.48,"mean":176.535},"successRate":100,"sampleSize":51837.8,"query":"1000 * histogram_quantile(0.50, sum(rate(pmapi_request_duration_seconds_bucket{venue=\"polymarket\",source=\"direct\",class=\"price\",conn=\"warm\",cache!=\"hit\"}[24h])) by (le))","formula":"p50 of warm, non CDN cached round trips against the CLOB midpoint endpoint for the pinned market, successful requests only, 24h window.","availability":"live","meta":{"observedAt":1784679892527}},{"name":"Kalshi","slug":"kalshi","tag":"Regulated US venue, single market endpoint goes to origin on every request","ms":{"p50":328.139,"p90":391.329,"p99":581.248,"mean":281.816},"successRate":100,"sampleSize":51837.7,"query":"1000 * histogram_quantile(0.50, sum(rate(pmapi_request_duration_seconds_bucket{venue=\"kalshi\",source=\"direct\",class=\"price\",conn=\"warm\",cache!=\"hit\"}[24h])) by (le))","formula":"p50 of warm, non CDN cached round trips against the single market endpoint for the pinned ticker, successful requests only, 24h window.","availability":"live","meta":{"observedAt":1784679892527}},{"name":"Limitless","slug":"limitless","tag":"CLOB venue, undocumented API, errors CDN cached for 4 hours","ms":{"p50":104.017,"p90":353.752,"p99":597.604,"mean":171.455},"successRate":100,"sampleSize":51837.7,"query":"1000 * histogram_quantile(0.50, sum(rate(pmapi_request_duration_seconds_bucket{venue=\"limitless\",source=\"direct\",class=\"price\",conn=\"warm\",cache!=\"hit\"}[24h])) by (le))","formula":"p50 of warm, non CDN cached round trips against the single market endpoint, successful requests only, 24h window. Stale pin errors are probe_invalid and excluded.","availability":"live","meta":{"observedAt":1784679892527}},{"name":"Manifold","slug":"manifold","tag":"AMM, bot friendly, whole API behind a 5s CDN cache, hits excluded here","ms":{"p50":1000,"p90":2300,"p99":2480,"mean":1067.8},"successRate":100,"sampleSize":37027,"query":"1000 * histogram_quantile(0.50, sum(rate(pmapi_request_duration_seconds_bucket{venue=\"manifold\",source=\"direct\",class=\"price\",conn=\"warm\",cache!=\"hit\"}[24h])) by (le))","formula":"p50 of warm round trips against the single market endpoint, origin responses only (CDN cache hits excluded), successful requests, 24h window.","availability":"live","meta":{"observedAt":1784679892527}},{"name":"Myriad","slug":"myriad","tag":"Single region US East Heroku origin, smallest API surface in the cohort","ms":{"p50":1267.24,"p90":1481.52,"p99":2469.05,"mean":1342.93},"successRate":99.3738,"sampleSize":51752.6,"query":"1000 * histogram_quantile(0.50, sum(rate(pmapi_request_duration_seconds_bucket{venue=\"myriad\",source=\"direct\",class=\"price\",conn=\"warm\",cache!=\"hit\"}[24h])) by (le))","formula":"p50 of warm, non CDN cached round trips against the single market endpoint, successful requests only, 24h window. Cross region latency reflects the single US East origin.","availability":"live","meta":{"observedAt":1784679892527}},{"name":"Predexon","slug":"predexon","tag":"Multi-venue aggregator API (Polymarket, Kalshi, Limitless), unified schema","ms":{"p50":347.483,"p90":713.993,"p99":1772.55,"mean":449.098},"successRate":99.9781,"sampleSize":155502,"query":"1000 * histogram_quantile(0.50, sum(rate(pmapi_request_duration_seconds_bucket{source=\"predexon\",class=\"price\",conn=\"warm\",cache!=\"hit\"}[24h])) by (le))","formula":"p50 of warm, non CDN cached round trips against the Predexon market-price endpoints for the three covered venues, keyless-equivalent (free-tier key), successful requests only, 24h 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delay","number":"039","title":"Polymarket resolution time, measured onchain","seoTitle":"Polymarket resolution delay live 2026","seoDescription":"Polymarket resolution time live from Polygon: median delay from outcome proposal to onchain payout, sports vs politics vs crypto.","seoIntro":"The most asked question about Polymarket after \"is it legal\" is \"how long\nuntil I get paid\". The answer circulating on social media and repeated by\nlanguage models is that 93 percent of markets resolve within 2 hours. That\nnumber has no published methodology, and the data Polymarket's own Gamma\nAPI exposes cannot produce it: the closedTime field is written at the\nmoment of resolution (so measuring from it always yields zero) and endDate\nis a scheduled buffer that most markets beat. This benchmark measures the\ndelay that can actually be observed: the time from the first onchain\noutcome proposal on UMA's optimistic oracle to the onchain resolution of\nthe market, read directly from Polygon logs of Polymarket's UMA CTF\nadapters. The table breaks the delay down by category, because sports,\ncrypto and politics markets run different verification windows, and a\nsingle global median hides that. Dispute rate and the live backlog of\nclosed but unresolved markets are reported alongside.\n","disclaimer":"Delay is measured from the first onchain outcome proposal, not from the real world event ending. The gap between event and proposal is not observable onchain, so total wait times experienced by users are at least the figures shown.","faq":[{"q":"How long does Polymarket take to pay out after a market ends?","a":"Measured onchain, the median delay from the first outcome proposal to resolution is currently 44.1 min across all markets, and redemptions are claimable immediately after resolution. The full distribution matters though: p99 is 237.7 min, and the per category rows above show that sports, crypto and politics markets run on different verification windows. Add the time between the real world event ending and the first proposal, which happens offchain and is not measurable, so treat these figures as the floor."},{"q":"Do 93 percent of Polymarket markets resolve within 2 hours?","a":"We could not reproduce that figure, and the fields in Polymarket's public Gamma API cannot produce it: closedTime is written at the moment of resolution, so measuring from it always returns zero, and endDate is a scheduled buffer most markets beat. Measured from the first onchain outcome proposal to resolution on Polygon, the within 2 hours share is shown live in the table above and has been materially below 93 percent since this benchmark started. If you have a methodology that supports the 93 percent claim, we would genuinely like to see it."},{"q":"What happens when a Polymarket market is disputed?","a":"A dispute on UMA's optimistic oracle resets the question and routes it through the dispute process, where UMA token holders vote. That replaces the normal verification window with a voting period measured in days. Disputes are rare, the live dispute counter on this page tracks the measured rate, but when one hits a market you are waiting on, the delay moves from minutes or hours to days. The disputed label in our data separates those markets so the clean path percentiles stay honest."},{"q":"Why is my Polymarket market still unresolved?","a":"Three common reasons, in decreasing likelihood. First, the underlying event has not actually concluded, even if the market's scheduled end date passed; postponed games and extended deadlines dominate the pending backlog we track. Second, no one has submitted an outcome proposal to the oracle yet; the clock we measure only starts at the first proposal. Third, the market is in a UMA dispute, which adds days. The pending backlog gauge above counts all markets past their end date without onchain resolution."},{"q":"How does Polymarket resolution actually work onchain?","a":"Polymarket markets resolve through UMA's optimistic oracle on Polygon. Someone posts a bond and proposes the outcome (ProposePrice). A verification window follows during which anyone can dispute by posting a matching bond. If no dispute arrives, the proposal settles and Polymarket's UMA CTF adapter resolves the market (QuestionResolved), making winning shares redeemable. If a dispute arrives, UMA token holders vote. This benchmark reads exactly those events from Polygon logs, so the delays shown are the protocol's own timestamps, not estimates."},{"q":"Which Polymarket categories resolve fastest?","a":"The leaderboard above ranks categories by measured median delay, and the ordering is stable enough to plan around: crypto markets, which resolve against onchain or exchange prices, run the shortest verification windows, while politics markets sit at the long end. Sports land in between and dominate volume. The numbers update live, so check the table rather than trusting a snapshot quoted in an article, including this one."}],"perChainExplainer":[{"slug":"sports","h2":"Polymarket sports resolution","body":"Sports markets dominate Polymarket's resolution volume and currently resolve at 49.2 min median from first proposal. They are also where nearly all disputes happen: contested endings and stat corrections make sports the category where the oracle's verification window earns its keep. If you bet game markets, the practical wait is this row plus however long the league takes to make the result official, which happens before the onchain clock starts."},{"slug":"politics","h2":"Polymarket politics resolution","body":"Politics markets resolve at 180.5 min median from first proposal, the slow end of the cohort. Political outcomes often need an authoritative source to publish before anyone proposes, and verification windows are conservative because these markets carry the largest open interest. The headline 'Polymarket resolves in minutes' claims circulating online are sports and crypto numbers; this row is the honest expectation for election style markets."},{"slug":"crypto","h2":"Polymarket crypto resolution","body":"Crypto price markets resolve at 11.0 min median, the fastest category. The outcome is machine checkable against price feeds the moment the window closes, so proposals arrive promptly and short verification windows suffice. High frequency up or down markets recycle continuously, which is why crypto contributes a large share of total resolutions despite modest open interest per market."}],"subtitle":"Seconds from the first onchain outcome proposal to UMA resolution, measured per category from Polygon logs, with dispute rate and the live backlog of unresolved markets.","category":"Trading","status":"live","editorialStatus":"live","metric":"Resolution delay","unit":"s","higherIsBetter":false,"abstract":"A listener follows Polymarket's UMA CTF adapters on Polygon\n(QuestionInitialized, QuestionResolved, QuestionReset) and the\nOptimistic Oracle they call (ProposePrice, DisputePrice). For every\nresolved market, the recorded delay is the wall-clock time between the\nblock containing the first outcome proposal and the block containing the\nresolution. Markets are joined to Polymarket's Gamma catalogue by\nquestionID (the keccak hash of the proposal's ancillary data, verified\nagainst live events) and classified into sports, politics, crypto or\nother. A dispute resets the question and routes it through UMA's\ndispute process; those markets are counted separately so the dispute\npenalty is visible instead of polluting the happy path percentiles. The\npending gauge counts markets past their scheduled end date that have not\nresolved onchain yet, which is the backlog a bettor waiting for a payout\nactually experiences.\n","methodology":["Anchor: the first OO ProposePrice block timestamp, not Gamma fields. Verified live: Gamma closedTime equals the QuestionResolved block timestamp to the second (circular by construction) and endDate is a scheduled buffer that a majority of markets resolve before. Any 'resolves within X' claim computed from those fields is unfalsifiable.","Sources: Polygon logs of the post-migration UMA CTF adapters (binary 0x65070BE9..., neg-risk 0x69c47De9...) and their Optimistic Oracle (0x2c0367a9...), all address-configurable. Gamma supplies the market catalogue and category tags.","Join: questionID = keccak256 of the proposal ancillary data, verified against QuestionInitialized events. Neg-risk markets expose a different Gamma questionID; categories fall back to keyword classification for those, the delay itself is unaffected.","Categories: sports, politics, crypto, other, classified from Gamma tags plus keyword fallback. Categories run different UMA verification windows, so per category rows are the honest unit of comparison.","Disputes: a DisputePrice before resolution marks the market disputed and its delay lands in the disputed series. QuestionReset events are tracked so re-proposals do not create duplicate joins.","Pending backlog: markets past their scheduled endDate with no onchain resolution, polled from Gamma every cycle. This includes markets whose underlying event has not happened yet despite the date passing, so it is an upper bound.","Listener: 45s incremental Polygon log polling with a 7 day chunked backfill on restart, two public RPC endpoints with rotation and backoff. Counters re-count the backfill window after a restart; quantiles are computed on the cumulative histogram, which the backfill repopulates within minutes.","Delays are measured between block timestamps, so the resolution granularity is Polygon's block time (~2s), negligible against delays measured in minutes and hours.","What this does not measure: the gap between the real world event ending and someone submitting the first proposal. That interval is not observable onchain; the proposal is the first onchain signal that the outcome is known. Reported delays are therefore a lower bound on the total wait."],"findings":["Across all markets, the median onchain resolution delay is 44.1 min from first proposal to resolution, with p99 at 237.7 min. The within 2 hours share is on the table above, measured, and it does not match the 93 percent figure that circulates without a methodology.","Categories are not comparable on a single median: sports markets currently sit at 49.2 min, crypto at 11.0 min, politics at 180.5 min. Different market types run different UMA verification windows, which is why the leaderboard is per category.","Disputes are rare but expensive: the dispute counter on this page tracks how many resolutions went through UMA's dispute process, and disputed markets carry materially longer delays than the clean path.","The pending backlog gauge is the number a waiting bettor actually feels: markets past their scheduled end date with no onchain resolution yet. Its oldest entries are weeks old, usually markets whose underlying event was postponed rather than oracle failures."],"source":"https://github.com/ChainBench/OpenChainBench/tree/main/harnesses/pm-resolution-delay","ledgerColumns":[{"label":"p50 (median delay)","slot":"p50"},{"label":"p99","slot":"p99"},{"label":"Pending","panel":"pending_backlog"},{"label":"Disputes","panel":"disputes"}],"results":[{"name":"All markets","slug":"all-markets","tag":"Every resolved market across categories","ms":{"p50":2648130,"p90":12165900,"p99":14259100,"mean":3440140},"successRate":100,"sampleSize":159610,"query":"1000 * histogram_quantile(0.50, sum by (le) (pmres_resolution_delay_seconds_bucket))","formula":"Median seconds from first OO ProposePrice block to QuestionResolved block, cumulative histogram over the listener's window. The success column is the share resolved within 2 hours of proposal, the number the 93 percent claim pretends to be.","availability":"live","meta":{"observedAt":1784679896360}},{"name":"Sports","slug":"sports","tag":"Game and match markets, the volume majority","ms":{"p50":2949910,"p90":12131600,"p99":14261600,"mean":3588780},"successRate":100,"sampleSize":104769,"query":"1000 * histogram_quantile(0.50, sum by (le) (pmres_resolution_delay_seconds_bucket{category=\"sports\"}))","formula":"Median seconds from first proposal to resolution for sports markets. Success column is the share within 2 hours of proposal.","availability":"live","meta":{"observedAt":1784679896360}},{"name":"Crypto","slug":"crypto","tag":"Price markets, machine checkable outcomes","ms":{"p50":659423,"p90":1280780,"p99":2443960,"mean":855540},"successRate":100,"sampleSize":19047,"query":"1000 * histogram_quantile(0.50, sum by (le) (pmres_resolution_delay_seconds_bucket{category=\"crypto\"}))","formula":"Median seconds from first proposal to resolution for crypto price markets. Success column is the share within 2 hours of proposal.","availability":"live","meta":{"observedAt":1784679896360}},{"name":"Politics","slug":"politics","tag":"Election and policy markets, conservative windows","ms":{"p50":10827300,"p90":13751000,"p99":17892000,"mean":8067530},"successRate":100,"sampleSize":803,"query":"1000 * histogram_quantile(0.50, sum by (le) (pmres_resolution_delay_seconds_bucket{category=\"politics\"}))","formula":"Median seconds from first proposal to resolution for politics markets. Success column is the share within 2 hours of proposal.","availability":"live","meta":{"observedAt":1784679896360}},{"name":"Other","slug":"other","tag":"Culture, weather, science and everything else","ms":{"p50":1794890,"p90":12965300,"p99":14328200,"mean":4295800},"successRate":100,"sampleSize":34991,"query":"1000 * histogram_quantile(0.50, sum by (le) (pmres_resolution_delay_seconds_bucket{category=\"other\"}))","formula":"Median seconds from first proposal to resolution for uncategorized markets. Success column is the share within 2 hours of 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The queue a waiting bettor experiences; oldest entries are usually postponed events, not oracle failures.","metric":"sum(pmres_pending_markets{})","unit":"count","higherIsBetter":false,"tab":true,"values":{"politics":46,"other":172,"sports":1142,"crypto":3},"seriesByProvider":{"politics":[32,33,33,32,33,34,33,34,33,34,33,34,34,33,33,33,33,33,33,24,33,27,27,34,32,34,31,34,34,34,34,34,34,34,34,34,34,34,34,34,34,34,25,34,34,34,34,35,39,41,41,34,38,38,34,34,34,34,34,34,34,34,34,34,34,34,34,33,33,33,33,46,46],"other":[199,201,204,204,267,203,258,257,195,212,227,181,230,226,228,208,209,271,207,198,164,189,190,174,159,156,153,156,156,149,147,147,151,147,147,244,248,246,203,246,242,193,230,247,200,233,235,244,257,258,259,239,258,254,214,237,240,144,146,203,243,149,256,197,259,188,237,247,156,154,154,167,172],"sports":[1228,1285,1241,1283,1319,1141,1128,1028,948,973,859,815,851,756,713,673,672,669,675,593,675,599,598,666,623,625,590,625,725,800,735,832,790,835,835,826,825,827,822,822,826,834,747,621,627,635,633,686,699,697,763,729,799,871,784,768,893,920,918,923,821,814,767,654,606,603,589,780,730,973,1073,1006,1142],"crypto":[0,0,41,0,0,41,0,0,43,0,0,89,4,4,45,5,5,46,4,4,47,4,4,44,4,3,44,3,3,34,1,4,42,1,1,3,0,0,43,0,0,41,0,0,41,0,0,37,7,6,39,0,5,37,8,1,33,2,2,40,2,3,43,15,1,38,3,3,44,3,3,44,3]},"seriesByProvider7d":{"politics":[61,60,60,60,65,64,63,49,38,43,43,43,19,19,19,16,16,15,12,13,15,14,14,14,33,34,31,11,16,16,16,16,25,9,8,8,19,19,9,17,16,15,15,9,9,8,9,9,12,12,12,13,11,12,12,12,12,12,12,12,6,6,6,10,10,13,14,16,15,16,14,15,32,33,34,33,32,34,34,25,39,34,34,34,46],"other":[203,220,249,234,181,171,266,254,243,239,231,257,269,180,237,190,133,135,233,206,205,208,203,249,264,262,161,192,143,139,224,204,255,137,213,170,204,251,220,221,159,158,250,194,194,184,254,245,199,186,254,214,186,189,289,221,230,228,292,246,242,298,253,253,210,204,285,275,217,219,291,192,199,258,230,207,159,147,248,230,257,214,243,237,172],"sports":[1073,1018,989,904,852,963,969,994,1009,1064,1072,946,1034,1022,965,877,874,871,835,859,997,1356,1460,1111,968,969,969,960,904,905,1020,940,868,1114,1139,1082,1537,1574,1329,1122,885,887,1095,1257,1257,1367,1497,1506,1387,1500,1385,1071,1001,997,1097,1165,1255,1458,1694,1300,1150,995,940,835,780,782,701,709,762,861,789,752,1228,1128,851,675,623,735,825,747,699,784,821,589,1142],"crypto":[3,2,2,2,2,2,2,3,10,2,2,2,2,2,2,0,0,0,0,0,1,0,0,2,2,2,2,0,0,0,0,0,12,0,0,0,0,16,2,0,0,0,0,0,0,1,0,0,0,0,47,0,0,0,0,0,1,0,0,0,0,1,1,2,0,1,0,0,6,4,5,0,0,0,4,4,4,1,0,0,7,8,2,3,3]},"seriesByProvider30d":{"politics":[229,220,240,282,314,232,215,208,202,197,203,211,199,199,199,173,162,320,305,306,64,61,55,58,107,52,65,42,60,79,57,73,51,57,63,66,67,61,61,61,65,61,62,50,70,66,61,63,19,12,33,16,19,15,12,12,6,14,32,34,46],"other":[250,180,132,169,127,177,120,168,158,189,142,181,119,201,274,231,253,544,662,566,214,211,151,204,265,192,249,203,329,214,215,189,194,197,124,168,140,215,117,117,229,246,326,284,152,233,203,266,269,233,264,224,204,250,199,289,242,285,199,248,172],"sports":[1642,1518,1942,1361,1754,1288,1841,1278,1390,1249,1764,1320,1682,1398,1413,1275,1521,2201,2665,2164,1453,1057,1406,1156,1441,1456,1656,1446,1495,993,1377,987,1602,1095,1559,1016,1334,1030,1422,1422,1545,1434,1495,1149,1276,1163,1073,969,1034,835,968,1020,1537,1095,1387,1097,1150,701,1228,825,1142],"crypto":[4,4,6,4,4,3,2,8,8,2,5,2,2,2,2,3,5,17,19,14,5,3,5,0,0,0,22,0,2,0,1,1,3,1,4,0,2,0,3,3,2,0,2,0,2,2,3,2,2,0,2,0,0,0,0,0,0,0,0,0,3]},"valuesMeta":{"politics":{"observedAt":1784679896360},"other":{"observedAt":1784679896360},"sports":{"observedAt":1784679896360},"crypto":{"observedAt":1784679896360}}},{"id":"disputes","label":"Disputes","description":"Resolutions that went through UMA's dispute process since the listener's backfill window. Rare, and concentrated in sports.","metric":"sum(pmres_disputes_total{})","unit":"count","higherIsBetter":false,"tab":true,"values":{"other":36,"crypto":1,"politics":2,"sports":103},"seriesByProvider":{"other":[35,35,35,35,35,35,35,35,35,35,35,35,35,35,35,35,35,35,35,35,35,35,35,35,35,35,35,35,35,35,35,35,35,35,35,35,35,35,35,35,35,35,35,35,35,35,35,35,35,35,35,35,35,35,35,35,35,35,35,35,35,35,36,36,36,36,36,36,36,36,36,36,36],"crypto":[1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1],"politics":[2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2],"sports":[101,101,101,101,101,101,101,101,101,101,101,101,101,101,101,101,101,101,101,101,101,101,101,101,101,101,101,101,101,101,101,101,102,102,102,102,102,102,102,102,102,102,102,102,102,102,102,102,102,102,102,102,102,103,103,103,103,103,103,103,103,103,103,103,103,103,103,103,103,103,103,103,103]},"seriesByProvider7d":{"other":[30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,31,31,31,31,31,31,31,31,31,31,31,31,31,31,31,31,31,32,32,32,32,32,32,32,32,32,32,32,32,32,32,32,32,32,32,32,32,32,32,32,33,33,33,33,33,33,34,34,34,34,34,35,35,35,35,35,35,35,35,35,35,35,36,36],"crypto":[1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1],"politics":[1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2],"sports":[73,73,73,73,73,73,74,74,78,78,80,80,80,80,80,80,80,84,84,84,84,84,84,84,84,84,84,84,84,84,85,86,86,86,98,98,98,98,99,99,99,99,100,100,100,100,100,100,100,100,101,101,101,101,101,101,101,101,101,101,101,101,101,101,101,101,101,101,101,101,101,101,101,101,101,101,101,101,102,102,102,103,103,103,103]},"seriesByProvider30d":{"other":[66,67,69,69,70,70,70,70,70,71,71,71,73,75,75,75,75,80,82,86,11,12,13,13,16,16,17,19,19,19,19,19,28,28,28,30,30,31,32,32,19,19,19,22,23,24,30,30,30,30,31,31,31,32,32,32,32,33,35,35,36],"crypto":[1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,11,11,10,10,10,10,10,10,10,10,10,10,10,10,10,10,10,10,10,10,10,10,10,null,null,null,null,null,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1],"politics":[10,10,10,10,10,10,10,10,10,10,11,11,12,12,12,12,12,15,15,15,3,3,3,3,3,3,3,3,4,4,4,4,4,4,4,4,4,4,4,4,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,2,2,2],"sports":[58,58,58,58,58,59,60,62,62,62,63,64,66,67,67,67,68,82,82,82,12,13,16,18,19,20,24,24,24,24,34,36,50,51,56,56,62,64,65,65,47,47,60,60,60,60,73,74,80,84,84,85,98,100,100,101,101,101,101,102,103]},"valuesMeta":{"other":{"observedAt":1784679896360},"crypto":{"observedAt":1784679896360},"politics":{"observedAt":1784679896360},"sports":{"observedAt":1784679896360}}}],"sampleSize":319220,"lastRunAt":"2026-07-22T00:24:46.113Z","dataAsOf":1784679896360},{"slug":"nft-collection-metadata","number":"040","title":"Best NFT collection metadata API: Moralis, Alchemy, OpenSea benchmarked","seoTitle":"Best NFT collection metadata API 2026","seoDescription":"NFT collection metadata API ranked live: name, image, description, floor_eth populated across major collections.","seoIntro":"This benchmark measures what every NFT marketplace, portfolio\ntracker and wallet hits when it tries to render a collection card.\nName, image, description, floor_eth and external_url. The five\nfields a UI needs to render a tradeable collection tile instead of\na bare contract address. Provider marketing pages quote \"10M+ NFTs\nindexed\" or \"real-time floor prices\", but coverage on established\nblue-chip collections is the floor of what any production app can\nrely on, not the ceiling. The harness queries Moralis, Alchemy and\nOpenSea every six hours for the same 50 Ethereum blue-chip\ncollections (BAYC, CryptoPunks, Azuki, Pudgy Penguins, Doodles and\nothers) and records which of the five fields each provider\nreturned. Coverage is the share of (provider, collection, field)\ncombinations that returned a populated value, computed as a rolling\nrate so the leaderboard reflects what the API is doing today. This\nbench is the established-collection companion to the fresh-launch\nmetadata-coverage bench. one tests the worst case (tokens two\nminutes old), this tests the best case (collections everyone has\nhad years to index). On the current 24h window\nMoralis leads at 97.0%.\n","faq":[{"q":"Which API is best for NFT collection metadata?","a":"On the 50 Ethereum blue-chip set this benchmark scores, Moralis currently leads at 97.0% (p50, 24 h). The benchmark targets the best case for any NFT API. collections that everyone has had years to index. so the spread between providers reflects refresh discipline and field completeness rather than catalogue size. For fresh NFT mints (the worst case) the picture is different and that benchmark is not yet live on OpenChainBench."},{"q":"Why only 50 collections?","a":"A fixed collection set keeps the comparison apple-to-apple. Every provider is asked about the same collections on the same cadence, so coverage differences cannot be explained away by 'the other provider tested an easier collection list'. 50 is the trade-off between statistical density (1000 field checks per provider per day) and respecting each provider's free-tier rate limit. The list is committed in the harness repo and only changes via PR."},{"q":"Does this benchmark test fresh NFT mints?","a":"No. This bench tests established blue-chip collections (BAYC, CryptoPunks, Azuki and 47 others). Fresh-mint NFT metadata coverage is a different benchmark that would need a launchpad-aware discovery loop, similar to the fresh-launch token metadata-coverage bench. Treat this number as the floor of what any provider can deliver. coverage on fresh mints will always be lower."},{"q":"What's the difference between Moralis NFT API and OpenSea API?","a":"Moralis is a general-purpose Web3 data API. its NFT endpoint pulls from Moralis's own EVM indexer plus enriched marketplace data. OpenSea is the marketplace. its API is the canonical source for marketplace-side fields (description, external_url, floor) on collections OpenSea has listed. Moralis covers some collections OpenSea has delisted; OpenSea covers some marketplace-specific fields Moralis does not expose. Both appear in this bench because they are different layers of the stack."},{"q":"Why is floor_eth the most often-missing field?","a":"floor_eth is the only field on the list that requires a live marketplace lookup. Name, image, description and external_url are contract-level or off-chain metadata that the provider can cache and serve for hours. Floor changes whenever someone lists or delists, so providers either refresh aggressively (paying the marketplace API cost) or let it go stale. The 6-hour cadence on this bench is long enough to surface refresh failures, short enough to be useful as a leaderboard."},{"q":"How does the apple-to-apple field semantics work?","a":"Each provider returns slightly different field shapes. We normalise as follows: `name`, `description` and `external_url` count on any non-empty string. `image` counts on a non-empty string URL (each provider gets one chance, picked from the documented preferred field; no OR-of-multiple-URLs tricks). `floor_eth` counts on any positive number in ETH. This normalisation is committed in the harness repo and only changes via PR."},{"q":"Why use a rolling rate instead of a single number for coverage?","a":"Coverage drifts during the day. A marketplace can rate-limit one provider for an hour and that provider's coverage drops until the limit resets. We use `quantile_over_time` on a one-hour rolling rate, sampled over 24 hours, so the headline is p50 of the hourly coverage rate rather than a flat average. Same shape as a latency benchmark, applied to a coverage ratio."}],"subtitle":"Share of metadata fields (name, image, description, floor_eth, external_url) populated across 50 Ethereum blue-chip NFT collections, audited every 6 hours.","category":"NFT APIs","status":"live","editorialStatus":"live","metric":"Field coverage","unit":"pct","higherIsBetter":true,"abstract":"We benchmark how complete each NFT data API's collection-metadata response\nis for a fixed list of 50 Ethereum blue-chip collections. Every six hours\nthe harness asks each provider for each collection and records whether\nfive canonical fields (`name`, `image`, `description`, `floor_eth`,\n`external_url`) came back populated. The aggregate is the share of\n(provider, collection, field) combinations that returned a populated\nvalue across all checks in the window.\n\nA value of 100% means every field was returned for every collection on\nevery check; a value of 60% means two-fifths of the fields were missing\non average. Sort order on this page is descending, so the highest\ncoverage shows first, which is the inverse of latency benchmarks.\nApple-to-apple field semantics are documented in the methodology so\nreaders can replicate the harness against their own collection list.\n","methodology":["Collection set: a fixed list of 50 Ethereum blue-chip collections (BAYC, CryptoPunks, Azuki, Pudgy Penguins, Doodles, MAYC, Moonbirds, CloneX, Otherdeeds, Meebits and others). The list is committed to the harness repo and only changes via PR.","Fields scored (5): `name`, `image`, `description`, `floor_eth`, `external_url`. A field counts as covered if the provider returns a non-empty string or a positive number.","Apple-to-apple: each provider gets exactly one chance per field. No OR-of-multiple-URLs tricks.","Providers in scope: Moralis (`/nft/{address}/metadata`), Alchemy (`getContractMetadata`), OpenSea (`/api/v2/collections/{slug}` plus `/api/v2/collections/{slug}/stats` for floor; slug pre-resolved via `/api/v2/chain/ethereum/contract/{addr}`, so OpenSea costs two API calls per collection per check).","Cadence: every 6 hours per provider × collection. Steady-state ≈ 200 checks per provider per day, ~1000 field checks per provider per day.","Region: `eu-west` (single point. multi-region requires running additional monitor instances).","Ratio: `nft_metadata_success_total / nft_metadata_checks_total`, expressed in percent. Failures of the metadata API itself (timeouts, 5xx) are not counted in the denominator. only successful responses with the field check applied."],"findings":["Moralis leads NFT collection metadata coverage at 97.0% (p50, 24 h). The number is the share of (name, image, description, floor_eth, external_url) field checks that returned a populated value on the 50 blue-chip collection set.","Moralis returns 97.0% (p50, 24 h). Moralis's NFT API exposes a unified collection-metadata endpoint that pulls from its own indexer plus public marketplace feeds.","Alchemy clocks 76.2% (p50, 24 h). Alchemy's `getContractMetadata` returns ERC721/ERC1155 contract-level data plus enriched OpenSea fields when available.","OpenSea sits at 94.2% (p50, 24 h). OpenSea's v2 collections endpoint is the source of truth for marketplace-side metadata (description, external_url, floor) on collections it lists. Each check is two API calls (collection + stats) after a one-time slug resolution.","external_url is the field most likely to differ between providers: OpenSea and Moralis surface the collection's website on most blue-chips, Alchemy's `openSeaMetadata.externalUrl` is structurally null on the same set. p99 (97.0% / 76.2% / 94.2%) is what a portfolio tracker sees during the worst 6h window in the day.","Alchemy trails at 76.2% (p50, 24 h). A 20-point gap on this leaderboard means roughly one in five field renders falls back to a placeholder when displaying a blue-chip collection."],"source":"https://github.com/ChainBench/OpenChainBench/tree/main/harnesses/nft-collection-metadata","results":[{"name":"Moralis","slug":"moralis","tag":"REST `/nft/{address}/metadata`","ms":{"p50":97.03,"p90":97.03,"p99":97.03,"mean":97.03},"successRate":100,"sampleSize":3670.64,"query":"100 * sum(rate(nft_metadata_success_total{provider=\"moralis\"}[24h])) / sum(rate(nft_metadata_checks_total{provider=\"moralis\"}[24h]))","formula":"Median of hourly coverage rate (populated name/image/description/floor_eth/external_url fields divided by total field checks) on Moralis `/nft/{address}/metadata` for the 50 blue-chip set, p50 over 24h.","availability":"live","meta":{"observedAt":1784679885627}},{"name":"Alchemy","slug":"alchemy","tag":"REST `getContractMetadata`","ms":{"p50":76.15,"p90":76.15,"p99":76.15,"mean":76.15},"successRate":100,"sampleSize":6001.04,"query":"100 * sum(rate(nft_metadata_success_total{provider=\"alchemy\"}[24h])) / sum(rate(nft_metadata_checks_total{provider=\"alchemy\"}[24h]))","formula":"Median of hourly coverage rate (populated name/image/description/floor_eth/external_url fields divided by total field checks) on Alchemy `getContractMetadata` for the 50 blue-chip set, p50 over 24h.","availability":"live","meta":{"observedAt":1784679885627}},{"name":"OpenSea","slug":"opensea","tag":"REST `/api/v2/collections/{slug}` + `/stats`","ms":{"p50":94.1748,"p90":94.1748,"p99":94.1748,"mean":94.1748},"successRate":100,"sampleSize":4120.72,"query":"100 * sum(rate(nft_metadata_success_total{provider=\"opensea\"}[24h])) / sum(rate(nft_metadata_checks_total{provider=\"opensea\"}[24h]))","formula":"Median of hourly coverage rate (5 fields / total checks) on OpenSea v2 `/collections/{slug}` + `/stats` for floor, slug pre-resolved via `/contract/{addr}`. Two API calls per check. p50 over 24h, 50 blue-chip set.","availability":"live","meta":{"observedAt":1784679885627}}],"extras":{"series24h":{"moralis":[97.1429,97.1429,97.1429,97.1429,97.1429,97.1429,97.1429,97.1429,97.1429,97.1429,97.0833,97.0833,97.0833,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,97.1429,97.1429,97.1429,96.3265,96.3265,96.3265,97.1429,97.1429,97.1429,97.1429,97.1429,97.1429,97.1429,97.1429,97.1429,97.1429,97.1429,97.1429,97.1429,97.1429,97.1429,97.1429,97.1429,97.1429,97.1429,97.1429,97.1429,97.1429,97.1429,97.1429,96.3265,96.3265,96.3265],"alchemy":[75.2,76.4,76.4,76.4,76.4,76.4,76.4,76.4,76.4,76.4,76.4,76.4,76.4,76.4,76.4,76.4,76.4,76.4,76.4,76.4,76.4,76.4,76.4,76.4,76.4,76.4,76.4,76.4,76.4,76.4,76.4,76.4,76.4,76.4,76.4,76.4,76.4,76.4,76.4,76.4,74,74,74,75.2,75.2,75.2,76.4,76.4,76.4,75.2,75.2,75.2,76.4,76.4,76.4,76.4,76.4,76.4,76.4,76.4,76.4,76.4,76.4,76.4,75.2,75.2,75.2,76.4,76.4,76.4,76.4,76.4,76.4],"opensea":[96.4706,92.9412,92.9412,92.9412,93.3333,93.3333,93.3333,95.5556,95.5556,95.5556,91.6667,91.6667,91.6667,94.5455,94.5455,94.5455,95.5556,95.5556,95.5556,92.3529,92.3529,92.3529,94.8571,94.8571,94.8571,96.6667,96.6667,96.6667,96.3636,96.3636,96.3636,93.1429,93.1429,93.1429,95.4839,95.4839,95.4839,91.4286,91.4286,91.4286,94.4444,94.4444,94.4444,93.7143,93.7143,93.7143,93.8889,93.8889,93.8889,94.8571,94.8571,94.8571,94.1176,94.1176,94.1176,93.5294,93.5294,93.5294,95,95,95,94.1935,94.1935,94.1935,95.3333,95.3333,95.3333,95,95,95,92.3529,92.3529,92.3529]},"series7d":{"moralis":[97.1429,97.1429,97.0213,null,null,null,null,97.1429,97.1429,96.8182,97.1429,97.0833,97.1429,97.1429,97.1429,97.1429,null,null,null,97.1429,97.1429,97.1429,97.1429,97.1429,97.1429,97.1429,97.0213,null,null,null,null,97.1429,97.1429,97.1429,97.1429,97.1429,97.1429,97.1429,97.1429,null,null,null,null,97.1429,97.1429,97.1429,97.1429,97.1429,97.1429,97.1429,97.0833,null,null,null,null,97.1429,97.1429,97.1429,97.1429,97.1429,97.1429,97.1429,97.1429,97.0213,null,null,null,97.1429,97.1429,97.1429,97.1429,97.1429,97.1429,97.1429,97.0833,null,null,null,null,97.1429,97.1429,97.1429,97.1429,97.1429,96.3265],"alchemy":[76.4,76.4,76.4,76.4,76.4,76.4,76.4,76.4,76.4,76.4,76.4,76.4,75.2,76.4,76.4,75.2,76.4,76.4,76.4,76.4,76.4,76.4,76.4,76.4,76.4,76.4,76.4,76.4,76.4,76.4,76.4,76.4,76.4,75.6,76.4,76.4,76.4,76.4,75.6,76.4,76.4,76.4,76.4,76.4,76.4,76.4,76.3265,76.4,76.4,76.4,76.4,75.2,76.4,76.4,76.4,76.3265,76.4,76.4,76.4,76.4,76.4,76.4,76.4,76.4,76.4,76.4,76.4,76.4,76.4,76.4,76.4,76.4,75.2,76.4,76.4,76.4,76.4,76.4,76.4,74,76.4,76.4,76.4,75.2,76.4],"opensea":[94.5946,93.8889,94.4444,95,95,95.4286,94.4444,94.1176,93.9394,94.4444,92.7778,95.1351,94.7368,94.1176,95.1515,93.8889,94.1176,95,95.2941,92,96.3636,96.7568,92.5714,94.5946,96,94.8571,93.7143,91.8919,94.4444,91.875,94.5946,95.2632,95.1515,96.7568,92.973,94.0541,94.7059,94.0541,93.3333,94.2857,93.8889,93.8889,95.2941,97.5758,93.1429,92.5714,94.0541,93.125,95.8824,92,96.5714,95,93.5294,95,92.3529,94.8571,95.2632,95.2941,95.4286,95.8824,95,96.8421,95.5556,94.2857,95.625,93.1429,94.0541,96,96,92.5714,95.1515,92.3529,96.4706,93.3333,91.6667,95.5556,94.8571,96.3636,95.4839,94.4444,93.8889,94.1176,95,95.3333,92.3529]},"series30d":{"moralis":[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,97.1429,null,97.1429,null,97.1429,null,97.1429,null,97.1429,null,97.1429,null,97.1429,null,97.1429,null,97.1429,null,96.3265],"alchemy":[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,76.4,76.4,76.4,76.4,75.2,76.4,76.4,76.4,76.4,76.4,76.4,76.4,76.4,76.4,75.2,76.4,76.4],"opensea":[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,95,95.8824,94.5946,94.4444,94.7368,95.2941,96,94.5946,94.7059,95.2941,95.8824,92.3529,95,94.0541,96.4706,95.4839,92.3529]},"regions":{}},"sampleSize":13792.400000000001,"lastRunAt":"2026-07-22T00:24:32.827Z","dataAsOf":1784679885627},{"slug":"perp-volume-share","number":"041","title":"Perp DEX volume share, live 24h notional ranked","seoTitle":"Perp DEX volume 24h ranking 2026","seoDescription":"Live 24h perp DEX volume in USD notional across 10 major venues: Hyperliquid, Aster, Lighter, GRVT, Extended, Pacifica, Vertex, dYdX, Aevo, Paradex. Refreshed every 5 minutes.","seoIntro":"This benchmark ranks the major onchain perp venues by 24 hour rolling\nnotional volume, in USD. Volume is the cleanest single-number proxy\nfor where perpetual futures flow actually lives today. We poll each\nvenue's public API every 5 minutes, read the venue's own trailing 24\nhour taker notional in USD, and publish a single gauge per venue.\nThe cohort covers 10 venues: Hyperliquid, Aster, Lighter, GRVT,\nExtended, Pacifica, Vertex, dYdX v4, Aevo and Paradex. Headline\nnumber is the 24h average of the live 24h gauge so a single noisy\nprint does not move the ranking. The companion benches price the\ncost side (perp-fees for opening, perp-funding for holding); this\none prices flow.\n","faq":[{"q":"What does this benchmark measure?","a":"The trailing 24 hour taker notional volume of 10 major perp DEX venues in USD. Headline is the 24h average of the live 24h gauge so single prints do not skew the ranking."},{"q":"Why 24h rolling instead of daily snapshots?","a":"Every venue in the cohort publishes a live rolling 24 hour window on its own public API, so a rolling comparison sidesteps timezone bucketing and the noise of a single calendar day. The 24h average smooths intraday micro-spikes without hiding regime shifts within the window."},{"q":"Which venues are in the cohort?","a":"Hyperliquid, Aster, Lighter, GRVT, Extended, Pacifica, Vertex, dYdX v4, Aevo and Paradex, the 10 decentralized perp venues whose public APIs expose 24h taker notional cleanly enough to compare without backfilling. Other venues join as their endpoints document the same series."},{"q":"Is this the same as DeFiLlama volume?","a":"Methodology is similar in spirit but each venue is queried directly here, not via an aggregator. Numbers should sit close to DeFiLlama on most days, divergences usually mean a downstream feed lagged."}],"subtitle":"24h rolling perpetual futures notional volume in USD across 10 major decentralized venues. Higher means more flow. Read live from each venue's public API.","category":"Trading","status":"live","editorialStatus":"live","metric":"24h perp volume","unit":"usd","higherIsBetter":true,"abstract":"The bench polls 10 perp DEX venues every 5 minutes for the trailing\n24 hour taker notional and exposes a USD gauge per venue. Sources:\nHyperliquid info dayNtlVlm (per-asset day notional summed in USD),\nAster fapi 24h ticker per instrument, Lighter public stats endpoint,\nGRVT public markets, Extended API, Pacifica onchain reads, Vertex\nindexer, dYdX v4 indexer perpetualMarkets, Aevo public markets,\nParadex markets summary. Each value carries a freshness timestamp\nand a health gauge so a stale or errored venue does not poison the\nleaderboard. Higher is better.\n","methodology":["Cadence: every 5 minutes per venue in parallel, 10 second timeout per request.","Hyperliquid: info dayNtlVlm summed across all assets, published as the trailing 24 hour taker notional in USD.","Aster: fapi 24h ticker per instrument, quoteVolume summed across all USDT perps.","Lighter: public stats endpoint, 24h volume per market summed across markets in USD.","GRVT: public markets endpoint, 24h volume per instrument summed in USD.","Extended: public markets API, 24h volume per instrument summed in USD.","Pacifica: onchain reads on the Solana program state for trailing 24h taker notional.","Vertex: public indexer, 24h volume per product summed across all perps.","dYdX v4: indexer perpetualMarkets, volume24H summed across markets in USD.","Aevo: public markets endpoint, 24h volume per instrument summed in USD.","Paradex: markets summary on Starknet L2, 24h volume summed across perps.","Headline. avg_over_time of the 24 hour volume gauge over the last 24 hours, so a one-print spike does not move the ranking. The Series tab plots the raw gauge.","Failures. A venue that errors or times out keeps its last gauge value and its perp_venue_health gauge drops toward 0; the leaderboard tags it as stale."],"findings":["Hyperliquid currently leads the cohort at $4.14B of 24h notional (24h average) across 10 measured perp DEX venues.","Hyperliquid sits at $4.14B of 24h notional, the deepest decentralized perp book in the field.","Aster sits at $1.46B of 24h notional. BNB Chain perps DEX with a Binance-compatible API.","Lighter clocks $1.35B of 24h notional. Zero taker fee plus a fully onchain orderbook on zkSync.","GRVT sits at $1.34B of 24h notional. Hybrid CEX/DEX perps on ZK Stack.","Pacifica sits at $899.49M of 24h notional. Solana-native onchain perps.","Extended sits at $485.20M of 24h notional. StarkEx-based perps venue.","dYdX v4 sits at $18.48M of 24h notional. Cosmos appchain orderbook.","Vertex sits at $46.92M of 24h notional. Arbitrum orderbook plus AMM hybrid.","Paradex sits at $9.65M of 24h notional. Starknet L2 perps.","Aevo sits at $1.42M of 24h notional. Optimism L2 orderbook perps."],"source":"https://github.com/ChainBench/OpenChainBench/tree/main/harnesses/perp-cohort-stats","results":[{"name":"Hyperliquid","slug":"hyperliquid","tag":"HyperBFT L1 perp DEX","ms":{"p50":4137430000,"p90":4345650000,"p99":4491450000,"mean":4137430000},"successRate":83.3333,"sampleSize":5760,"query":"avg_over_time(perp_venue_volume_24h_usd{venue=\"hyperliquid\"}[24h])","formula":"Sum across all assets of Hyperliquid info dayNtlVlm, published as the trailing 24 hour taker notional in USD; headline is the 24h time average.","availability":"live","meta":{"observedAt":1784679888761}},{"name":"Polymarket","slug":"polymarket","tag":"Polygon perps by Polymarket, launched 2026-07, public info API","ms":{"p50":59430000,"p90":64679300,"p99":67964500,"mean":59430000},"successRate":79.88889999999999,"sampleSize":5760,"query":"avg_over_time(perp_venue_volume_24h_usd{venue=\"polymarket\"}[24h])","formula":"volume summed across all listed instruments from the Polymarket perps statistics endpoint (24h quote notional in pUSD, USD-pegged); headline is the 24h time average.","availability":"live","meta":{"observedAt":1784679888761}},{"name":"Aster","slug":"aster","tag":"BNB Chain perps DEX, Binance-compatible API","ms":{"p50":1459820000,"p90":1533660000,"p99":1553980000,"mean":1459820000},"successRate":83.3333,"sampleSize":5760,"query":"avg_over_time(perp_venue_volume_24h_usd{venue=\"aster\"}[24h])","formula":"quoteVolume summed across all listed USDT perps from Aster fapi 24h ticker, in USD; headline is the 24h time average.","availability":"live","meta":{"observedAt":1784679888761}},{"name":"Lighter","slug":"lighter","tag":"zk-rollup, zero taker fee","ms":{"p50":1347420000,"p90":1438240000,"p99":1471980000,"mean":1347420000},"successRate":83.3333,"sampleSize":5760,"query":"avg_over_time(perp_venue_volume_24h_usd{venue=\"lighter\"}[24h])","formula":"Sum of 24h volume per market from the Lighter public stats endpoint, in USD; headline is the 24h time average.","availability":"live","meta":{"observedAt":1784679888761}},{"name":"GRVT","slug":"grvt","tag":"Hybrid CEX/DEX perps on ZK Stack","ms":{"p50":1344310000,"p90":1372370000,"p99":1391570000,"mean":1344310000},"successRate":66.5625,"sampleSize":5760,"query":"avg_over_time(perp_venue_volume_24h_usd{venue=\"grvt\"}[24h])","formula":"24h volume from GRVT public markets endpoint per instrument, summed in USD; headline is the 24h time average.","availability":"live","meta":{"observedAt":1784679888761}},{"name":"Extended","slug":"extended","tag":"StarkEx-based perps venue","ms":{"p50":485204000,"p90":508639000,"p99":524449000,"mean":485204000},"successRate":83.2986,"sampleSize":5760,"query":"avg_over_time(perp_venue_volume_24h_usd{venue=\"extended\"}[24h])","formula":"24h volume from Extended public markets API per instrument, summed in USD; headline is the 24h time average.","availability":"live","meta":{"observedAt":1784679888761}},{"name":"Pacifica","slug":"pacifica","tag":"Solana-native onchain perps","ms":{"p50":899487000,"p90":968724000,"p99":994346000,"mean":899487000},"successRate":66.1111,"sampleSize":5760,"query":"avg_over_time(perp_venue_volume_24h_usd{venue=\"pacifica\"}[24h])","formula":"24h taker notional read onchain from the Pacifica Solana program state, summed in USD; headline is the 24h time average.","availability":"live","meta":{"observedAt":1784679888761}},{"name":"Vertex","slug":"vertex","tag":"Arbitrum orderbook plus AMM hybrid","ms":{"p50":46918800,"p90":87695100,"p99":91898800,"mean":46918800},"successRate":99.8148,"sampleSize":5760,"query":"avg_over_time(perp_venue_volume_24h_usd{venue=\"vertex\"}[24h])","formula":"24h volume from the Vertex public indexer per product, summed across all perps in USD; headline is the 24h time average.","availability":"live","meta":{"observedAt":1784679888761}},{"name":"dYdX 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DEX open interest, live USD notional ranked","seoTitle":"Perp DEX open interest 2026","seoDescription":"Live perpetual futures open interest in USD across 12 major perp DEX venues: Hyperliquid, Aster, Lighter, GRVT, Extended, Ostium, Pacifica, Vertex, dYdX, Aevo, Paradex, gains.trade. Refreshed every 5 minutes.","seoIntro":"This benchmark ranks the major onchain perp venues by aggregate open\ninterest, in USD. Open interest is the canonical depth-of-market\nnumber for perpetual futures: it tells you how much notional sits\nopen right now, on every market, on a given venue. We poll each\nvenue's public API every 5 minutes, sum open interest across all\nlisted perps, and publish one gauge per venue. The cohort covers 12\nvenues: Hyperliquid, Aster, Lighter, GRVT, Extended, Ostium, Pacifica,\nVertex, dYdX v4, Aevo, Paradex and gains.trade. Headline number is the 24h average\nof the live OI gauge so a single noisy print does not move the\nranking.\n","faq":[{"q":"What does this benchmark measure?","a":"The live aggregate open interest of 12 major perp DEX venues in USD. Headline is the 24h average of the live OI gauge so single prints do not skew the ranking."},{"q":"How is open interest different from volume?","a":"Volume counts every trade that crosses the book during a window. Open interest counts notional that currently sits open, regardless of when it was opened. A high-volume venue with high turnover can carry lower OI than a slower venue with sticky positions."},{"q":"Which venues are in the cohort?","a":"Hyperliquid, Aster, Lighter, GRVT, Extended, Ostium, Pacifica, Vertex, dYdX v4, Aevo, Paradex and gains.trade, the 12 decentralized perp venues whose public APIs expose open interest cleanly enough to compare without backfilling. Other venues join as their endpoints document the same series."},{"q":"Is OI a good proxy for venue health?","a":"It is one of the cleanest. A venue can spike volume with wash trading or incentive programs, but real OI is harder to fake because it ties up margin. Compared against perp-volume-share, persistent OI dominance signals real position-holding flow rather than turnover."}],"subtitle":"Live aggregate open interest in USD across 12 major decentralized perpetual futures venues. Higher means more notional sits open. Read live from each venue's public API.","category":"Trading","status":"live","editorialStatus":"live","metric":"Open interest","unit":"usd","higherIsBetter":true,"abstract":"The bench polls 12 perp DEX venues every 5 minutes for live open\ninterest and exposes a USD-aggregated gauge per venue. Each venue's\npublic API is queried directly (Hyperliquid info metaAndAssetCtxs,\nAster fapi openInterest, Lighter orderBookDetails, GRVT public\nmarkets, Extended API, Ostium subgraph, Pacifica onchain reads,\nVertex indexer, dYdX v4 indexer, Aevo public markets, Paradex\nmarkets summary, gains.trade trading-variables per collateral across\nArbitrum/Base/Polygon/ApeChain) and the notional is summed in USD\nacross all listed perps. Each value carries a freshness timestamp and a health\ngauge so a stale or errored venue does not poison the leaderboard.\nHigher is better.\n","methodology":["Convention: open interest counts each contract once (one side), the standard used by CME, Binance and Coinglass, and the only convention comparable across venues. Aggregators can differ: DefiLlama doubles Lighter and Ostium (long plus short), folds 1,682 options markets into Paradex, and adds HIP-3 sub-dex OI to Hyperliquid. Where our number is about half of theirs, that is the convention gap, not missing data; five venues where conventions align match DefiLlama within 2 percent.","Cadence: every 5 minutes per venue in parallel, 10 second timeout per request.","Hyperliquid: info metaAndAssetCtxs, openInterest summed across all assets and priced in USD using the venue's own mark price.","Aster: fapi openInterest endpoint per instrument, summed across all listed USDT perps.","Lighter: orderBookDetails per market, open interest summed across markets in USD.","GRVT: public markets endpoint, open interest per instrument summed in USD.","Extended: public markets API, open interest per instrument summed in USD.","Ostium: subgraph read for open interest across all listed pairs on Arbitrum.","Pacifica: onchain reads on the Solana program state for aggregate open interest.","Vertex: public indexer, open interest per product summed across all perps.","dYdX v4: indexer perpetualMarkets, openInterest per market summed in USD.","Aevo: public markets endpoint, open interest per instrument summed in USD.","Paradex: markets summary endpoint on Starknet L2, open interest summed across perps.","gains.trade: trading-variables endpoint per chain backend (Arbitrum, Base, Polygon, ApeChain), per-collateral pairOis summed then multiplied by collateralPriceUsd, summed across all chains.","Headline. avg_over_time of the live OI gauge over the last 24 hours, so a one-print spike does not move the ranking. The Series tab plots the raw gauge.","Failures. A venue that errors or times out keeps its last gauge value and its perp_venue_health gauge drops toward 0; the leaderboard tags it as stale."],"findings":["Hyperliquid currently leads the cohort at $7.77B of open interest (24h average) across 12 measured perp DEX venues.","Hyperliquid sits at $7.77B of open interest. HyperBFT orderbook is the deepest decentralized perp venue by a wide margin.","Lighter clocks $459.77M of open interest. Fully onchain orderbook on zkSync with zero taker fee.","Aster sits at $982.46M of open interest. BNB Chain perps DEX with a Binance-compatible API surface.","GRVT sits at $366.31M of open interest. Hybrid CEX/DEX perps on ZK Stack.","Extended sits at $201.65M of open interest. StarkEx-based perps venue.","Pacifica sits at $102.64M of open interest. Solana-native onchain perps.","dYdX v4 sits at $39.14M of open interest. Cosmos appchain orderbook, one of the oldest decentralized perp venues in the cohort.","Ostium sits at $143.10M of open interest. Synthetic perps on Arbitrum covering FX and commodities alongside crypto.","Vertex sits at $66.57M of open interest. Arbitrum orderbook plus AMM hybrid.","Paradex sits at $9.82M of open interest. Starknet L2 perps.","Aevo sits at $9.92M of open interest. Optimism L2 orderbook perps, options-focused history.","gains.trade sits at $6.81M of open interest. Synthetic perps across Arbitrum, Base, Polygon and ApeChain."],"source":"https://github.com/ChainBench/OpenChainBench/tree/main/harnesses/perp-cohort-stats","results":[{"name":"Hyperliquid","slug":"hyperliquid","tag":"HyperBFT L1 perp DEX","ms":{"p50":7769660000,"p90":7864320000,"p99":7903640000,"mean":7769660000},"successRate":83.3333,"sampleSize":5760,"query":"avg_over_time(perp_venue_oi_usd{venue=\"hyperliquid\"}[24h])","formula":"Open interest from Hyperliquid info metaAndAssetCtxs, summed across all assets and priced in USD using the venue's mark price; headline is the 24h time average.","availability":"live","meta":{"observedAt":1784679887424}},{"name":"Polymarket","slug":"polymarket","tag":"Polygon perps by Polymarket, launched 2026-07, public info API","ms":{"p50":24563500,"p90":25341400,"p99":25673500,"mean":24563500},"successRate":79.88889999999999,"sampleSize":5760,"query":"avg_over_time(perp_venue_oi_usd{venue=\"polymarket\"}[24h])","formula":"open_interest (base units) times mark_price from the Polymarket perps tickers endpoint, summed across all listed instruments in USD; headline is the 24h time average.","availability":"live","meta":{"observedAt":1784679887424}},{"name":"Aster","slug":"aster","tag":"BNB Chain perps DEX, Binance-compatible API","ms":{"p50":982458000,"p90":988773000,"p99":994957000,"mean":982458000},"successRate":83.3333,"sampleSize":5760,"query":"avg_over_time(perp_venue_oi_usd{venue=\"aster\"}[24h])","formula":"Open interest from Aster fapi openInterest per instrument, summed across all listed USDT perps; headline is the 24h time average.","availability":"live","meta":{"observedAt":1784679887424}},{"name":"Lighter","slug":"lighter","tag":"zk-rollup, zero taker fee","ms":{"p50":459768000,"p90":475734000,"p99":477884000,"mean":459768000},"successRate":83.3333,"sampleSize":5760,"query":"avg_over_time(perp_venue_oi_usd{venue=\"lighter\"}[24h])","formula":"Open interest from Lighter orderBookDetails per market, summed across markets in 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DEX funding stability, 24h stddev of ETH funding ranked","seoTitle":"Perp funding stability 2026: ETH stddev","seoDescription":"Live 24h stddev of ETH perpetual funding rate in bps across 15 major venues. Deepest book = smoothest rate.","seoIntro":"This benchmark ranks perp venues by how tightly their ETH funding\nrate clusters over the trailing 7 days. Average funding tells you\nwhich side gets paid; stability tells you how reliably. A venue\nwhose 24h hold cost wanders 15 bps in a week is harder to carry\ntrade than one that holds within 3 bps even if both average the\nsame number. The bench reads the same normalized series as\nperp-funding (per-venue hold cost in bps per 24h) and exposes\nstddev_over_time of that series on a 24 hour window for ETH.\nCohort is 15 venues across two sources: 7 polled directly by the\nharness (Hyperliquid onchain, Bybit, dYdX v4 Cosmos appchain,\nBinance, OKX, Paradex Starknet L2, Aster BNB Chain) and 8 sourced\nthrough Mobula's CEFI funding aggregator (Bitget, Coinbase,\nDeribit, Gate, Kraken, KuCoin, Lighter, MEXC). Lower is better.\n","disclaimer":"Stability is not directionality. A venue with persistently positive but tight-banded funding ranks better here than one that flips between positive and negative every settlement, even if the second venue offers better average carry. Read alongside perp-funding for direction and average level.\n","faq":[{"q":"What does funding stability measure?","a":"It is the 24 hour standard deviation of each venue's ETH funding rate, expressed in basis points per 24 hour hold. The metric measures how tightly funding clusters around its own 7 day mean, ignoring whether the rate sits positive or negative. A low value means traders carrying a position on that venue paid (or received) a predictable number every settlement; a high value means the rate swung a lot over the week."},{"q":"Why is lower better?","a":"Carry trades, basis trades and funding-rate arbitrage all assume the rate behaves predictably over the holding window. A venue with a noisy funding curve forces wider stop-losses and reduces the achievable Sharpe even when the average rate looks attractive. Stability is the second-order property that turns an average rate into a trade you can size."},{"q":"How does this differ from perp-funding (bench 036)?","a":"perp-funding ranks venues by the current normalized 24h funding cost on ETH; it answers 'who is cheapest to hold right now'. perp-funding-stability ranks venues by the 24 hour standard deviation of that same series; it answers 'whose rate is most predictable'. The two are complementary: a cheap-but-noisy venue is still risky to carry; a stable-but-expensive venue is honest about its cost."},{"q":"Why ETH only?","a":"ETH is the deepest contract on every venue in the cohort, so the funding series has the strongest signal-to-noise ratio for cross-venue comparison. BTC and SOL are also published by the upstream harness as gauges; future revisions of this bench may expand the dimension."},{"q":"How fresh are the numbers?","a":"The upstream funding gauge is scraped every 30 seconds. The stddev refreshes on every Prom evaluation, so the leaderboard reflects the most recent 24 hour window minus at most 30 seconds of lag."}],"subtitle":"24h standard deviation of ETH funding rate, in basis points per 24h, across the perp-funding cohort. Lower means funding stays in a tight band, the carry trader's preferred signal.","category":"Trading","status":"live","editorialStatus":"live","metric":"24h ETH funding stddev","unit":"bps","higherIsBetter":false,"abstract":"The bench reuses the normalized 24h ETH funding series from\nperp-funding (bench № 036). For each venue it publishes the 7 day\nrolling standard deviation of the ETH hold-24h gauge, in bps. Sign\nis preserved on the underlying series; the ranking metric is the\nmagnitude of the swing, not its direction. Lower means the venue's\nfunding stayed in a tight band, the cleanest signal for funding-rate\narbitrage and basis trades. Cadence and freshness inherit from the\nupstream funding scrape (60 second poll, 30 second Prom scrape).\n","methodology":["Young venues read artificially stable at first: a venue whose funding has not moved since listing (Polymarket perps launched 2026-07-08 with a constant default rate) shows a stddev near zero until real funding history accrues. Read the sample count next to the rank.","Source. Same upstream as perp-funding: each venue's public funding endpoint polled every 60 seconds, normalized to bps per hour and per 24h hold, sign preserved.","Metric. stddev_over_time(perp_funding_hold_24h_bps{asset=\"ETH\"}[24h]) per venue. The 7d window smooths intraday noise but reacts to regime shifts within a week.","Sign handling. The underlying series is signed (positive means longs pay). Stability measures the swing, so the ranking uses the unsigned stddev. Average direction and level are the perp-funding bench.","Cohort. 15 venues across two sources. 7 polled directly (perp_funding_hold_24h_bps): Hyperliquid, Bybit, dYdX v4, Binance, OKX, Paradex, Aster. 8 via Mobula CEFI aggregator (perp_venue_funding_24h_bps): Bitget, Coinbase, Deribit, Gate, Kraken, KuCoin, Lighter, MEXC. Both normalize to bps per 24h hold, sign preserved, so the unsigned stddev compares cleanly across the full cohort.","Success. Same freshness signal as perp-funding: perp_funding_venue_ok_unix advancing within the last 5 minutes. A venue whose scrape stalls is tagged stale on the row.","Cadence. The upstream funding harness polls every 60 seconds; Prometheus scrapes every 30 seconds. The 7 day stddev refreshes on every scrape.","Failures. A venue whose upstream funding feed errors keeps its last gauge value; the leaderboard tags the row stale once the success gauge drops to 0.","Reproducibility. The harness emits perp_funding_hold_24h_bps with labels venue and asset; the bench query is the stddev over 7d on that series with asset=ETH pinned."],"findings":["dYdX v4 currently has the tightest ETH funding band at 0.0017% stddev (24h).","Binance sits at 0.0069% stddev (24h). Deepest book in the field anchors the rate.","OKX sits at 0.0072% stddev (24h). 8h settlements smooth high-frequency noise but react to regime shifts within the window.","Outliers on this bench are the venues to watch for funding arbitrage: a wider band means larger spreads to harvest against the cohort median."],"source":"https://github.com/ChainBench/OpenChainBench/tree/main/harnesses/perp-cohort-stats","dimensions":{},"results":[{"name":"Hyperliquid","slug":"hyperliquid","tag":"Onchain order book perps, funding settled hourly","ms":{"p50":0.213624,"p90":1.50885,"p99":1.09235,"mean":0.213624},"successRate":100,"sampleSize":2880,"query":"stddev_over_time(perp_funding_hold_24h_bps{venue=\"hyperliquid\",asset=\"ETH\"}[24h])","formula":"stddev_over_time of perp_funding_hold_24h_bps{venue=\"hyperliquid\",asset=\"ETH\"} over a 24h window. p90/p99 columns reuse the same query on BTC and SOL to stay within the standard provider shape.","availability":"live","meta":{"observedAt":1784679887796}},{"name":"Bybit","slug":"bybit","tag":"USDT linear perps, funding interval per instrument","ms":{"p50":1.05484,"p90":0.532873,"p99":0.561747,"mean":1.05484},"successRate":100,"sampleSize":2880,"query":"stddev_over_time(perp_funding_hold_24h_bps{venue=\"bybit\",asset=\"ETH\"}[24h])","formula":"stddev_over_time of perp_funding_hold_24h_bps{venue=\"bybit\",asset=\"ETH\"} over a 24h window. p90/p99 columns reuse the same query on BTC and SOL to stay within the standard provider shape.","availability":"live","meta":{"observedAt":1784679887796}},{"name":"dYdX v4","slug":"dydx","tag":"Cosmos appchain order book perps, funding settled hourly","ms":{"p50":0.168479,"p90":1.00632,"p99":1.64847,"mean":0.168479},"successRate":100,"sampleSize":2880,"query":"stddev_over_time(perp_funding_hold_24h_bps{venue=\"dydx\",asset=\"ETH\"}[24h])","formula":"stddev_over_time of perp_funding_hold_24h_bps{venue=\"dydx\",asset=\"ETH\"} over a 24h window. p90/p99 columns reuse the same query on BTC and SOL to stay within the standard provider shape.","availability":"live","meta":{"observedAt":1784679887796}},{"name":"Binance","slug":"binance","tag":"Largest CEX perp book, 8h funding (4h on some pairs)","ms":{"p50":0.686609,"p90":0.834077,"p99":0.912173,"mean":0.686609},"successRate":100,"sampleSize":2880,"query":"stddev_over_time(perp_funding_hold_24h_bps{venue=\"binance\",asset=\"ETH\"}[24h])","formula":"stddev_over_time of perp_funding_hold_24h_bps{venue=\"binance\",asset=\"ETH\"} over a 24h window. p90/p99 columns reuse the same query on BTC and SOL to stay within the standard provider shape.","availability":"live","meta":{"observedAt":1784679887796}},{"name":"OKX","slug":"okx","tag":"USDT swaps, interval derived from settlement timestamps","ms":{"p50":0.72116,"p90":0.983397,"p99":0.488853,"mean":0.72116},"successRate":100,"sampleSize":2880,"query":"stddev_over_time(perp_funding_hold_24h_bps{venue=\"okx\",asset=\"ETH\"}[24h])","formula":"stddev_over_time of perp_funding_hold_24h_bps{venue=\"okx\",asset=\"ETH\"} over a 24h window. p90/p99 columns reuse the same query on BTC and SOL to stay within the standard provider shape.","availability":"live","meta":{"observedAt":1784679887796}},{"name":"Paradex","slug":"paradex","tag":"Starknet L2 perps, 8h funding accrued continuously","ms":{"p50":0.297512,"p90":0.713086,"p99":0.546897,"mean":0.297512},"successRate":100,"sampleSize":2880,"query":"stddev_over_time(perp_funding_hold_24h_bps{venue=\"paradex\",asset=\"ETH\"}[24h])","formula":"stddev_over_time of perp_funding_hold_24h_bps{venue=\"paradex\",asset=\"ETH\"} over a 24h window. p90/p99 columns reuse the same query on BTC and SOL to stay within the standard provider shape.","availability":"live","meta":{"observedAt":1784679887796}},{"name":"Polymarket","slug":"polymarket","tag":"Polygon perps by Polymarket, 1h funding, public info API","ms":{"p50":1.47239,"p90":1.19712,"p99":1.94046,"mean":1.47239},"successRate":100,"sampleSize":2880,"query":"stddev_over_time(perp_funding_hold_24h_bps{venue=\"polymarket\",asset=\"ETH\"}[24h])","formula":"stddev_over_time of perp_funding_hold_24h_bps{venue=\"polymarket\",asset=\"ETH\"} over a 24h window. p90/p99 columns reuse the same query on BTC and SOL to stay within the standard provider shape.","availability":"live","meta":{"observedAt":1784679887796}},{"name":"Aster","slug":"aster","tag":"BNB Chain perps DEX, Binance compatible API, 8h funding","ms":{"p50":0.603668,"p90":0.969068,"p99":0.762503,"mean":0.603668},"successRate":100,"sampleSize":2880,"query":"stddev_over_time(perp_funding_hold_24h_bps{venue=\"aster\",asset=\"ETH\"}[24h])","formula":"stddev_over_time of perp_funding_hold_24h_bps{venue=\"aster\",asset=\"ETH\"} over a 24h window. p90/p99 columns reuse the same query on BTC and SOL to stay within the standard provider shape.","availability":"live","meta":{"observedAt":1784679887796}},{"name":"Bitget","slug":"bitget","tag":"CEX, USDT perpetuals via Mobula aggregator, 8h funding","ms":{"p50":0.248505,"p90":1.70967,"p99":1.32716,"mean":0.248505},"successRate":100,"sampleSize":5760,"query":"stddev_over_time(perp_venue_funding_24h_bps{venue=\"bitget\",asset=\"ETH\"}[24h])","formula":"stddev_over_time of perp_venue_funding_24h_bps{venue=\"bitget\",asset=\"ETH\"} over a 24h window. Source: Mobula CEFI funding-rate aggregator.","availability":"live","meta":{"observedAt":1784679887796}},{"name":"Coinbase","slug":"coinbase","tag":"Regulated US CEX, perpetuals via Mobula aggregator","ms":{"p50":0.595572,"p90":0.167702,"p99":0.29716,"mean":0.595572},"successRate":100,"sampleSize":5760,"query":"stddev_over_time(perp_venue_funding_24h_bps{venue=\"coinbase\",asset=\"ETH\"}[24h])","formula":"stddev_over_time of perp_venue_funding_24h_bps{venue=\"coinbase\",asset=\"ETH\"} over a 24h window. Source: Mobula CEFI funding-rate aggregator.","availability":"live","meta":{"observedAt":1784679887796}},{"name":"Gate","slug":"gate","tag":"CEX, USDT perpetuals via Mobula aggregator, 8h funding","ms":{"p50":0.647572,"p90":0.799497,"p99":0.337862,"mean":0.647572},"successRate":100,"sampleSize":5760,"query":"stddev_over_time(perp_venue_funding_24h_bps{venue=\"gate\",asset=\"ETH\"}[24h])","formula":"stddev_over_time of perp_venue_funding_24h_bps{venue=\"gate\",asset=\"ETH\"} over a 24h window. Source: Mobula CEFI funding-rate aggregator.","availability":"live","meta":{"observedAt":1784679887796}},{"name":"Kraken","slug":"kraken","tag":"Regulated CEX, perpetuals via Mobula aggregator","ms":{"p50":3.24134,"p90":2.15806,"p99":3.47879,"mean":3.24134},"successRate":100,"sampleSize":5760,"query":"stddev_over_time(perp_venue_funding_24h_bps{venue=\"kraken\",asset=\"ETH\"}[24h])","formula":"stddev_over_time of perp_venue_funding_24h_bps{venue=\"kraken\",asset=\"ETH\"} over a 24h window. Source: Mobula CEFI funding-rate aggregator.","availability":"live","meta":{"observedAt":1784679887796}},{"name":"KuCoin","slug":"kucoin","tag":"CEX, USDT perpetuals via Mobula aggregator, 8h funding","ms":{"p50":0.324813,"p90":1.40742,"p99":0.603318,"mean":0.324813},"successRate":100,"sampleSize":5760,"query":"stddev_over_time(perp_venue_funding_24h_bps{venue=\"kucoin\",asset=\"ETH\"}[24h])","formula":"stddev_over_time of perp_venue_funding_24h_bps{venue=\"kucoin\",asset=\"ETH\"} over a 24h window. Source: Mobula CEFI funding-rate aggregator.","availability":"live","meta":{"observedAt":1784679887796}},{"name":"Lighter","slug":"lighter","tag":"zkSync L2 perps DEX, native funding via Mobula aggregator","ms":{"p50":0.318055,"p90":1.54845,"p99":1.24453,"mean":0.318055},"successRate":100,"sampleSize":5760,"query":"stddev_over_time(perp_venue_funding_24h_bps{venue=\"lighter\",asset=\"ETH\"}[24h])","formula":"stddev_over_time of perp_venue_funding_24h_bps{venue=\"lighter\",asset=\"ETH\"} over a 24h window. Source: Mobula CEFI funding-rate aggregator.","availability":"live","meta":{"observedAt":1784679887796}},{"name":"MEXC","slug":"mexc","tag":"CEX, USDT perpetuals via Mobula aggregator, 8h funding","ms":{"p50":0.181832,"p90":0.84673,"p99":0.918897,"mean":0.181832},"successRate":100,"sampleSize":5760,"query":"stddev_over_time(perp_venue_funding_24h_bps{venue=\"mexc\",asset=\"ETH\"}[24h])","formula":"stddev_over_time of perp_venue_funding_24h_bps{venue=\"mexc\",asset=\"ETH\"} over a 24h window. Source: Mobula CEFI funding-rate 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free Ethereum RPC, live no-key endpoint latency","seoTitle":"Fastest free Ethereum RPC 2026","seoDescription":"dRPC leads free Ethereum RPC at 18 ms (eth_getBlockByNumber p50, 24h). 8 no-key providers measured every 60s from 3 regions.","seoIntro":"Ethereum carries the largest free-RPC cohort we measure: 8 no-key providers answering the same `eth_getBlockByNumber` probe every 60 seconds from three regions. It is also the chain where reliability analysis earns its keep. Cloudflare-eth answers HTTP 200 in well under a second while an increasing share of calls resolve to a JSON-RPC error body (`-32046 Cannot fulfill request`), and Merkle is excluded outright after recurring Cloudflare lockouts that froze our probes for 20 minutes after a single request. If you paste a free RPC URL into an Ethereum dapp, this page is the live answer to which one deserves it.\n","faq":[{"q":"What is the fastest free Ethereum RPC right now?","a":"dRPC currently leads at 18 ms (`eth_getBlockByNumber` p50 over the last 24h), measured against 8 no-key providers probed every 60 seconds from us-east, eu-west and Singapore. The leaderboard re-sorts continuously against fresh Prometheus samples, so the answer on this page is the answer right now, not a quarterly snapshot. Use the region tabs to see the leader from the origin closest to your deployment."},{"q":"Which Ethereum RPCs work without an API key?","a":"The 8 providers on this page: PublicNode, dRPC, Tenderly, Nodies, Lava, MeowRPC, Flashbots, Cloudflare. Every (provider, chain) pair was live-verified no-key before inclusion, and anything that key-gates, region-blocks or rate-limits below our 15-second cadence is excluded rather than listed with an asterisk."},{"q":"Does the fastest Ethereum RPC change by region?","a":"Frequently. The headline number averages three probe origins (us-east, eu-west, Singapore), but per-region leaders regularly diverge, a gateway that wins from Virginia can lose from Singapore by multiples. The region tabs at the top of the page re-scope every number on the page to a single origin; pick the one closest to where your requests actually originate."},{"q":"How is Ethereum RPC latency measured here?","a":"One identical JSON-RPC POST (`eth_getBlockByNumber`) every 60 seconds against each provider from each of 3 regions, with the same plain HTTP client. Wall-clock round-trip is recorded at millisecond precision; p50/p90/p99 are computed via Prometheus `quantile_over_time` over 24 hours. Responses are classified (`ok` / `http_err` / `jsonrpc_err` / `stale` / `timeout`) so an endpoint stuck on an old head or returning errors behind HTTP 200 is never ranked as fastest. The harness is open source and every number on this page is a public Prometheus query you can run yourself."},{"q":"Why is Cloudflare's Ethereum RPC marked unreliable here?","a":"Cloudflare's public Ethereum gateway switched to a permissioned mode for many JSON-RPC methods. The endpoint still responds fast with HTTP 200, but the body is increasingly a JSON-RPC error (`-32046`) rather than a usable result. We classify a call as `ok` only when the HTTP status is 200 AND the body carries a usable `result` field, so Cloudflare's real success rate is visible in the reliability column instead of hiding behind fast error responses."}],"subtitle":"HTTP round-trip latency for eth_getBlockByNumber against every free, no-key public Ethereum RPC endpoint, audited every 60 seconds from 3 regions.","category":"RPCs","status":"live","editorialStatus":"live","metric":"RPC latency","unit":"ms","higherIsBetter":false,"abstract":"Per-chain member of the RPC latency cluster. We measure the round-trip latency of a single, identical RPC call (`eth_getBlockByNumber`) against every no-key public Ethereum endpoint that sustains continuous probing, 8 providers, every 60 seconds, from us-east, eu-west and Singapore. The harness also classifies every response (ok / http_err / jsonrpc_err / stale / timeout) and audits archive depth every 5 minutes, so the leaderboard rewards sustained, honest availability rather than a fast error message. The cross-chain view lives on the parent rpc-capabilities benchmark; this page is the Ethereum-scoped answer with per-region breakdowns as a first-class dimension.\n","methodology":["Cadence: every 60 seconds per provider, from each of 3 probe regions (us-east Virginia, eu-west Amsterdam, sgp Singapore). Headline p50/p90/p99 aggregate across all 3 regions via Prometheus `avg(quantile_over_time(...))`; per-region breakdowns are first-class on this page via the region tabs.","Payload: `{\"jsonrpc\":\"2.0\",\"id\":<rotating>,\"method\":\"eth_getBlockByNumber\",\"params\":[\"latest\",false]}`. Plain HTTP POST, identical for every endpoint, no API key in any request. Non-cacheable by design: the latest-header fetch with a rotating id defeats edge caches that answer eth_blockNumber without touching a node.","Latency: client-side round-trip delta in milliseconds, exposed as both a gauge and a histogram (buckets 50 ms → 10 s), so percentiles are computed via Prometheus `quantile_over_time` over the last 24 hours.","Call-result classification: `ok` (HTTP 200 + non-empty result), `http_err`, `jsonrpc_err` (HTTP 200 carrying an error body), `stale` (more than 20 blocks behind the cross-provider tip), `timeout`. Latency without reliability is a misleading ranking signal.","Archive depth: every 5 minutes we issue `eth_getBalance` at (head − depth) for depths from Geth's default pruned cap up to 5M blocks, exposing which free endpoints actually serve historical state.","This page is part of the per-chain RPC cluster derived from the cross-chain [rpc-capabilities](https://openchainbench.com/benchmarks/rpc-capabilities) benchmark; the identical harness, methodology and exclusion rules apply on every chain.","Chain scope: every query on this page is pinned to chain=\"ethereum\". Provider coverage: 8 no-key endpoints (PublicNode, dRPC, Tenderly, Nodies, Lava, MeowRPC, Flashbots, Cloudflare). Exclusions follow the cluster-wide rules documented on the parent benchmark."],"findings":["dRPC currently leads the free Ethereum RPC field at 18 ms (`eth_getBlockByNumber` p50, 24h) across 8 measured providers, the largest cohort of any chain in the cluster.","Cloudflare-eth is the resident cautionary tale: sub-second HTTP 200s that increasingly carry a JSON-RPC error instead of a block number. The success-rate column, not the latency column, tells the real story.","Merkle is excluded on Ethereum by design: its endpoint sits behind an aggressive bot filter that locks out programmatic clients for ~20 minutes after one request, invisible on any status page."],"source":"https://github.com/ChainBench/OpenChainBench/tree/main/harnesses/rpc-capabilities","dimensions":{"region":[{"value":"all","label":"All regions"},{"value":"us-east","label":"US-East"},{"value":"eu-west","label":"EU-West"},{"value":"sgp","label":"Singapore"}]},"results":[{"name":"PublicNode","slug":"publicnode","tag":"Allnodes-operated, 70+ chains, archive on most","ms":{"p50":91.3333,"p90":139.667,"p99":264.667,"mean":103.078},"successRate":100,"sampleSize":4318.75,"query":"avg(ocb:rpc_latency_milliseconds:p50_24h{provider=\"publicnode\", chain=\"ethereum\"})","formula":"50th percentile over 24h of client-side round-trip latency (ms) for a single `eth_getBlockByNumber` POST sent every 60s from 3 regions (us-east + eu-west + sgp) to PublicNode's no-key Ethereum endpoint.","availability":"live","meta":{"observedAt":1784679867858}},{"name":"dRPC","slug":"drpc","tag":"Decentralized RPC mesh, consensus-checked","ms":{"p50":18,"p90":168.333,"p99":240.333,"mean":77.2084},"successRate":85.09259999999999,"sampleSize":4320.75,"query":"avg(ocb:rpc_latency_milliseconds:p50_24h{provider=\"drpc\", chain=\"ethereum\"})","formula":"50th percentile over 24h of client-side round-trip latency (ms) for a single `eth_getBlockByNumber` POST sent every 60s from 3 regions (us-east + eu-west + sgp) to dRPC's no-key Ethereum endpoint.","availability":"live","meta":{"observedAt":1784679867858}},{"name":"Tenderly","slug":"tenderly","tag":"Multi-chain public gateway, 9 chains, no key","ms":{"p50":240,"p90":251.667,"p99":307,"mean":242.627},"successRate":100,"sampleSize":4318.75,"query":"avg(ocb:rpc_latency_milliseconds:p50_24h{provider=\"tenderly\", chain=\"ethereum\"})","formula":"50th percentile over 24h of client-side round-trip latency (ms) for a single `eth_getBlockByNumber` POST sent every 60s from 3 regions (us-east + eu-west + sgp) to Tenderly's no-key Ethereum endpoint.","availability":"live","meta":{"observedAt":1784679867858}},{"name":"Nodies","slug":"nodies","tag":"POKT Network's decentralized public RPC successor, 7+ chains","ms":{"p50":180,"p90":271,"p99":379,"mean":202.671},"successRate":100,"sampleSize":4320.75,"query":"avg(ocb:rpc_latency_milliseconds:p50_24h{provider=\"nodies\", chain=\"ethereum\"})","formula":"50th percentile over 24h of client-side round-trip latency (ms) for a single `eth_getBlockByNumber` POST sent every 60s from 3 regions (us-east + eu-west + sgp) to Nodies's no-key Ethereum endpoint.","availability":"live","meta":{"observedAt":1784679867858}},{"name":"Lava","slug":"lava","tag":"Decentralized permissionless RPC mesh (ETH + Arbitrum no-key)","ms":{"p50":334,"p90":662.333,"p99":2103.43,"mean":384.919},"successRate":98.86500000000001,"sampleSize":4317.75,"query":"avg(ocb:rpc_latency_milliseconds:p50_24h{provider=\"lava\", chain=\"ethereum\"})","formula":"50th percentile over 24h of client-side round-trip latency (ms) for a single `eth_getBlockByNumber` POST sent every 60s from 3 regions (us-east + eu-west + sgp) to Lava's no-key Ethereum endpoint.","availability":"live","meta":{"observedAt":1784679867858}},{"name":"MeowRPC","slug":"meowrpc","tag":"Free public RPC, no registration","ms":{"p50":278,"p90":417,"p99":582,"mean":292.167},"successRate":98.9344,"sampleSize":4317.75,"query":"avg(ocb:rpc_latency_milliseconds:p50_24h{provider=\"meowrpc\", chain=\"ethereum\"})","formula":"50th percentile over 24h of client-side round-trip latency (ms) for a single `eth_getBlockByNumber` POST sent every 60s from 3 regions (us-east + eu-west + sgp) to MeowRPC's no-key Ethereum endpoint.","availability":"live","meta":{"observedAt":1784679867858}},{"name":"Flashbots","slug":"flashbots","tag":"Private-mempool RPC, anti-sandwich","ms":{"p50":715.333,"p90":926.7,"p99":989.333,"mean":741.869},"successRate":100,"sampleSize":4320.75,"query":"avg(ocb:rpc_latency_milliseconds:p50_24h{provider=\"flashbots\", chain=\"ethereum\"})","formula":"50th percentile over 24h of client-side round-trip latency (ms) for a single `eth_getBlockByNumber` POST sent every 60s from 3 regions (us-east + eu-west + sgp) to Flashbots's no-key Ethereum endpoint.","availability":"live","meta":{"observedAt":1784679867858}},{"name":"Cloudflare","slug":"cloudflare","tag":"Permissioned-mode for many JSON-RPC methods","ms":{"p50":0,"p90":0,"p99":0,"mean":0},"successRate":0,"sampleSize":4318.75,"availability":"unavailable","unresponsive":true,"formula":"50th percentile over 24h of client-side round-trip latency (ms) for a single `eth_getBlockByNumber` POST sent every 60s from 3 regions (us-east + eu-west + sgp) to Cloudflare's no-key Ethereum 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free Arbitrum RPC, live no-key endpoint latency","seoTitle":"Fastest free Arbitrum RPC 2026","seoDescription":"PublicNode leads free Arbitrum RPC at 90 ms (eth_getBlockByNumber p50, 24h). 7 no-key providers measured every 60s from 3 regions.","seoIntro":"Arbitrum is the second-largest cohort in the cluster: 7 no-key providers including the Arbitrum Foundation's own `arb1.arbitrum.io/rpc`, and one of the few chains where Lava and MeowRPC still compete on a free tier. Foundation endpoints are documented best-effort, and our data shows what that means in practice: a respectable median with a p99 roughly ten times worse. Every provider answers the identical `eth_getBlockByNumber` probe every 60 seconds from us-east, eu-west and Singapore.\n","faq":[{"q":"What is the fastest free Arbitrum RPC right now?","a":"PublicNode currently leads at 90 ms (`eth_getBlockByNumber` p50 over the last 24h), measured against 7 no-key providers probed every 60 seconds from us-east, eu-west and Singapore. The leaderboard re-sorts continuously against fresh Prometheus samples, so the answer on this page is the answer right now, not a quarterly snapshot. Use the region tabs to see the leader from the origin closest to your deployment."},{"q":"Which Arbitrum RPCs work without an API key?","a":"The 7 providers on this page: PublicNode, dRPC, Tenderly, Nodies, Lava, MeowRPC, Arbitrum. Every (provider, chain) pair was live-verified no-key before inclusion, and anything that key-gates, region-blocks or rate-limits below our 15-second cadence is excluded rather than listed with an asterisk."},{"q":"Does the fastest Arbitrum RPC change by region?","a":"Frequently. The headline number averages three probe origins (us-east, eu-west, Singapore), but per-region leaders regularly diverge, a gateway that wins from Virginia can lose from Singapore by multiples. The region tabs at the top of the page re-scope every number on the page to a single origin; pick the one closest to where your requests actually originate."},{"q":"How is Arbitrum RPC latency measured here?","a":"One identical JSON-RPC POST (`eth_getBlockByNumber`) every 60 seconds against each provider from each of 3 regions, with the same plain HTTP client. Wall-clock round-trip is recorded at millisecond precision; p50/p90/p99 are computed via Prometheus `quantile_over_time` over 24 hours. Responses are classified (`ok` / `http_err` / `jsonrpc_err` / `stale` / `timeout`) so an endpoint stuck on an old head or returning errors behind HTTP 200 is never ranked as fastest. The harness is open source and every number on this page is a public Prometheus query you can run yourself."},{"q":"Should I use the official Arbitrum Foundation RPC in production?","a":"The Foundation documents `arb1.arbitrum.io/rpc` as best-effort and rate-limited, intended for development. Our continuous measurement confirms the profile: acceptable p50 with a p99 tail several times worse than the leading gateways. For read-heavy production paths a gateway with a tighter distribution is the safer default; keep the official endpoint as a fallback rather than a primary."}],"subtitle":"HTTP round-trip latency for eth_getBlockByNumber against every free, no-key public Arbitrum RPC endpoint, audited every 60 seconds from 3 regions.","category":"RPCs","status":"live","editorialStatus":"live","metric":"RPC latency","unit":"ms","higherIsBetter":false,"abstract":"Per-chain member of the RPC latency cluster. We measure the round-trip latency of a single, identical RPC call (`eth_getBlockByNumber`) against every no-key public Arbitrum endpoint that sustains continuous probing, 7 providers, every 60 seconds, from us-east, eu-west and Singapore. The harness also classifies every response (ok / http_err / jsonrpc_err / stale / timeout) and audits archive depth every 5 minutes, so the leaderboard rewards sustained, honest availability rather than a fast error message. The cross-chain view lives on the parent rpc-capabilities benchmark; this page is the Arbitrum-scoped answer with per-region breakdowns as a first-class dimension.\n","methodology":["Cadence: every 60 seconds per provider, from each of 3 probe regions (us-east Virginia, eu-west Amsterdam, sgp Singapore). Headline p50/p90/p99 aggregate across all 3 regions via Prometheus `avg(quantile_over_time(...))`; per-region breakdowns are first-class on this page via the region tabs.","Payload: `{\"jsonrpc\":\"2.0\",\"id\":<rotating>,\"method\":\"eth_getBlockByNumber\",\"params\":[\"latest\",false]}`. Plain HTTP POST, identical for every endpoint, no API key in any request. Non-cacheable by design: the latest-header fetch with a rotating id defeats edge caches that answer eth_blockNumber without touching a node.","Latency: client-side round-trip delta in milliseconds, exposed as both a gauge and a histogram (buckets 50 ms → 10 s), so percentiles are computed via Prometheus `quantile_over_time` over the last 24 hours.","Call-result classification: `ok` (HTTP 200 + non-empty result), `http_err`, `jsonrpc_err` (HTTP 200 carrying an error body), `stale` (more than 20 blocks behind the cross-provider tip), `timeout`. Latency without reliability is a misleading ranking signal.","Archive depth: every 5 minutes we issue `eth_getBalance` at (head − depth) for depths from Geth's default pruned cap up to 5M blocks, exposing which free endpoints actually serve historical state.","This page is part of the per-chain RPC cluster derived from the cross-chain [rpc-capabilities](https://openchainbench.com/benchmarks/rpc-capabilities) benchmark; the identical harness, methodology and exclusion rules apply on every chain.","Chain scope: every query on this page is pinned to chain=\"arbitrum\". Provider coverage: 7 no-key endpoints (PublicNode, dRPC, Tenderly, Nodies, Lava, MeowRPC, Arbitrum). Exclusions follow the cluster-wide rules documented on the parent benchmark."],"findings":["PublicNode currently leads free Arbitrum RPC at 90 ms (`eth_getBlockByNumber` p50, 24h) across 7 measured providers.","The Arbitrum Foundation endpoint is the textbook best-effort profile: usable median, heavy tail. Its p99 routinely runs ~10x its p50, which matters if your product retries on timeout.","Arbitrum is one of only two chains (with Ethereum) where Lava and MeowRPC qualify no-key, both providers key-gate or skip most other chains.","dRPC at 347 ms and PublicNode at 90 ms anchor the multi-chain gateway tier; regional splits between them flip depending on probe origin."],"source":"https://github.com/ChainBench/OpenChainBench/tree/main/harnesses/rpc-capabilities","dimensions":{"region":[{"value":"all","label":"All regions"},{"value":"us-east","label":"US-East"},{"value":"eu-west","label":"EU-West"},{"value":"sgp","label":"Singapore"}]},"results":[{"name":"PublicNode","slug":"publicnode","tag":"Allnodes-operated, 70+ chains, archive on most","ms":{"p50":89.6667,"p90":254.667,"p99":276,"mean":123.721},"successRate":100,"sampleSize":4319.75,"query":"avg(ocb:rpc_latency_milliseconds:p50_24h{provider=\"publicnode\", chain=\"arbitrum\"})","formula":"50th percentile over 24h of client-side round-trip latency (ms) for a single `eth_getBlockByNumber` POST sent every 60s from 3 regions (us-east + eu-west + sgp) to PublicNode's no-key Arbitrum endpoint.","availability":"live","meta":{"observedAt":1784679861279}},{"name":"dRPC","slug":"drpc","tag":"Decentralized RPC mesh, consensus-checked","ms":{"p50":347.333,"p90":610.333,"p99":1339,"mean":399.181},"successRate":84.4568,"sampleSize":4317.75,"query":"avg(ocb:rpc_latency_milliseconds:p50_24h{provider=\"drpc\", chain=\"arbitrum\"})","formula":"50th percentile over 24h of client-side round-trip latency (ms) for a single `eth_getBlockByNumber` POST sent every 60s from 3 regions (us-east + eu-west + sgp) to dRPC's no-key Arbitrum endpoint.","availability":"live","meta":{"observedAt":1784679861279}},{"name":"Tenderly","slug":"tenderly","tag":"Multi-chain public gateway, 9 chains, no key","ms":{"p50":239.667,"p90":250.333,"p99":263,"mean":240.972},"successRate":99.8842,"sampleSize":4318.75,"query":"avg(ocb:rpc_latency_milliseconds:p50_24h{provider=\"tenderly\", chain=\"arbitrum\"})","formula":"50th percentile over 24h of client-side round-trip latency (ms) for a single `eth_getBlockByNumber` POST sent every 60s from 3 regions (us-east + eu-west + sgp) to Tenderly's no-key Arbitrum endpoint.","availability":"live","meta":{"observedAt":1784679861279}},{"name":"Nodies","slug":"nodies","tag":"POKT Network's decentralized public RPC successor, 7+ chains","ms":{"p50":176.333,"p90":195.167,"p99":1358.33,"mean":220.64},"successRate":99.9768,"sampleSize":4316.75,"query":"avg(ocb:rpc_latency_milliseconds:p50_24h{provider=\"nodies\", chain=\"arbitrum\"})","formula":"50th percentile over 24h of client-side round-trip latency (ms) for a single `eth_getBlockByNumber` POST sent every 60s from 3 regions (us-east + eu-west + sgp) to Nodies's no-key Arbitrum 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icnode","p50":91},{"slug":"nodies","p50":176},{"slug":"tenderly","p50":240},{"slug":"arbitrum-official","p50":250},{"slug":"meowrpc","p50":269},{"slug":"lava","p50":337},{"slug":"drpc","p50":347}],"all|eu-west":[{"slug":"publicnode","p50":90},{"slug":"nodies","p50":176},{"slug":"lava","p50":204},{"slug":"tenderly","p50":239},{"slug":"arbitrum-official","p50":248},{"slug":"meowrpc","p50":267},{"slug":"drpc","p50":346}],"all|us-east":[{"slug":"publicnode","p50":88},{"slug":"nodies","p50":177},{"slug":"lava","p50":213},{"slug":"tenderly","p50":240},{"slug":"arbitrum-official","p50":251},{"slug":"meowrpc","p50":267},{"slug":"drpc","p50":349}]},"dataAsOf":1784679861279},{"slug":"base-rpc","number":"046","title":"Fastest free Base RPC, live no-key endpoint latency","seoTitle":"Fastest free Base RPC 2026","seoDescription":"PublicNode leads free Base RPC at 95 ms (eth_getBlockByNumber p50, 24h). 5 no-key providers measured every 60s from 3 regions.","seoIntro":"Base offers the cleanest official-versus-gateway comparison in the cluster: Coinbase operates both the sequencer and the chain-official `mainnet.base.org`, so the house endpoint has every locational advantage, and it still has to beat PublicNode, dRPC, Tenderly and Nodies on a level probe. 5 providers, the same `eth_getBlockByNumber` call every 60 seconds, three regions, stale-head detection against the cross-provider tip.\n","faq":[{"q":"What is the fastest free Base RPC right now?","a":"PublicNode currently leads at 95 ms (`eth_getBlockByNumber` p50 over the last 24h), measured against 5 no-key providers probed every 60 seconds from us-east, eu-west and Singapore. The leaderboard re-sorts continuously against fresh Prometheus samples, so the answer on this page is the answer right now, not a quarterly snapshot. Use the region tabs to see the leader from the origin closest to your deployment."},{"q":"Which Base RPCs work without an API key?","a":"The 5 providers on this page: PublicNode, dRPC, Tenderly, Nodies, Base. Blink (formerly Merkle) was delisted in July 2026 because its gateway does not serve `eth_getBlockByNumber` (JSON-RPC -32601), the anti-cache probe used across the cluster, so its latency cannot be compared on equal terms. Every (provider, chain) pair was live-verified no-key before inclusion, and anything that key-gates, region-blocks or rate-limits below our 15-second cadence is excluded rather than listed with an asterisk."},{"q":"Does the fastest Base RPC change by region?","a":"Frequently. The headline number averages three probe origins (us-east, eu-west, Singapore), but per-region leaders regularly diverge, a gateway that wins from Virginia can lose from Singapore by multiples. The region tabs at the top of the page re-scope every number on the page to a single origin; pick the one closest to where your requests actually originate."},{"q":"How is Base RPC latency measured here?","a":"One identical JSON-RPC POST (`eth_getBlockByNumber`) every 60 seconds against each provider from each of 3 regions, with the same plain HTTP client. Wall-clock round-trip is recorded at millisecond precision; p50/p90/p99 are computed via Prometheus `quantile_over_time` over 24 hours. Responses are classified (`ok` / `http_err` / `jsonrpc_err` / `stale` / `timeout`) so an endpoint stuck on an old head or returning errors behind HTTP 200 is never ranked as fastest. The harness is open source and every number on this page is a public Prometheus query you can run yourself."},{"q":"Is Coinbase's official Base RPC faster than third-party gateways?","a":"Not consistently. Despite being operated by the same team that runs the sequencer, `mainnet.base.org` trades the lead with PublicNode, dRPC and Tenderly depending on which region the request originates from. Check the region tabs on this page for the origin closest to your deployment; the cross-region average hides these flips."}],"subtitle":"HTTP round-trip latency for eth_getBlockByNumber against every free, no-key public Base RPC endpoint, audited every 60 seconds from 3 regions.","category":"RPCs","status":"live","editorialStatus":"live","metric":"RPC latency","unit":"ms","higherIsBetter":false,"abstract":"Per-chain member of the RPC latency cluster. We measure the round-trip latency of a single, identical RPC call (`eth_getBlockByNumber`) against every no-key public Base endpoint that sustains continuous probing, 5 providers, every 60 seconds, from us-east, eu-west and Singapore. The harness also classifies every response (ok / http_err / jsonrpc_err / stale / timeout) and audits archive depth every 5 minutes, so the leaderboard rewards sustained, honest availability rather than a fast error message. The cross-chain view lives on the parent rpc-capabilities benchmark; this page is the Base-scoped answer with per-region breakdowns as a first-class dimension.\n","methodology":["Cadence: every 60 seconds per provider, from each of 3 probe regions (us-east Virginia, eu-west Amsterdam, sgp Singapore). Headline p50/p90/p99 aggregate across all 3 regions via Prometheus `avg(quantile_over_time(...))`; per-region breakdowns are first-class on this page via the region tabs.","Payload: `{\"jsonrpc\":\"2.0\",\"id\":<rotating>,\"method\":\"eth_getBlockByNumber\",\"params\":[\"latest\",false]}`. Plain HTTP POST, identical for every endpoint, no API key in any request. Non-cacheable by design: the latest-header fetch with a rotating id defeats edge caches that answer eth_blockNumber without touching a node.","Latency: client-side round-trip delta in milliseconds, exposed as both a gauge and a histogram (buckets 50 ms → 10 s), so percentiles are computed via Prometheus `quantile_over_time` over the last 24 hours.","Call-result classification: `ok` (HTTP 200 + non-empty result), `http_err`, `jsonrpc_err` (HTTP 200 carrying an error body), `stale` (more than 20 blocks behind the cross-provider tip), `timeout`. Latency without reliability is a misleading ranking signal.","Archive depth: every 5 minutes we issue `eth_getBalance` at (head − depth) for depths from Geth's default pruned cap up to 5M blocks, exposing which free endpoints actually serve historical state.","This page is part of the per-chain RPC cluster derived from the cross-chain [rpc-capabilities](https://openchainbench.com/benchmarks/rpc-capabilities) benchmark; the identical harness, methodology and exclusion rules apply on every chain.","Chain scope: every query on this page is pinned to chain=\"base\". Provider coverage: 5 no-key endpoints (PublicNode, dRPC, Tenderly, Nodies, Base). Blink (formerly Merkle) was delisted 2026-07: its gateway does not serve `eth_getBlockByNumber`, the anti-cache probe this cluster standardized on, so it cannot be measured on equal terms. Exclusions follow the cluster-wide rules documented on the parent benchmark."],"findings":["PublicNode currently leads free Base RPC at 95 ms (`eth_getBlockByNumber` p50, 24h) across 5 measured providers.","The official `mainnet.base.org` and the multi-chain gateways trade the lead depending on region, a reminder that \"fastest\" is a per-origin question, not a global one."],"source":"https://github.com/ChainBench/OpenChainBench/tree/main/harnesses/rpc-capabilities","dimensions":{"region":[{"value":"all","label":"All regions"},{"value":"us-east","label":"US-East"},{"value":"eu-west","label":"EU-West"},{"value":"sgp","label":"Singapore"}]},"results":[{"name":"PublicNode","slug":"publicnode","tag":"Allnodes-operated, 70+ chains, archive on most","ms":{"p50":95,"p90":168,"p99":285.333,"mean":108.936},"successRate":100,"sampleSize":4318.75,"query":"avg(ocb:rpc_latency_milliseconds:p50_24h{provider=\"publicnode\", chain=\"base\"})","formula":"50th percentile over 24h of client-side round-trip latency (ms) for a single `eth_getBlockByNumber` POST sent every 60s from 3 regions (us-east + eu-west + sgp) to PublicNode's no-key Base endpoint.","availability":"live","meta":{"observedAt":1784679863328}},{"name":"dRPC","slug":"drpc","tag":"Decentralized RPC mesh, consensus-checked","ms":{"p50":163.667,"p90":181,"p99":285.33,"mean":170.552},"successRate":75.8277,"sampleSize":4319.75,"query":"avg(ocb:rpc_latency_milliseconds:p50_24h{provider=\"drpc\", chain=\"base\"})","formula":"50th percentile over 24h of client-side round-trip latency (ms) for a single `eth_getBlockByNumber` POST sent every 60s from 3 regions (us-east + eu-west + sgp) to dRPC's no-key Base endpoint.","availability":"live","meta":{"observedAt":1784679863328}},{"name":"Tenderly","slug":"tenderly","tag":"Multi-chain public gateway, 9 chains, no 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free Optimism RPC, live no-key endpoint latency","seoTitle":"Fastest free Optimism RPC 2026","seoDescription":"PublicNode leads free Optimism RPC at 92 ms (eth_getBlockByNumber p50, 24h). 5 no-key providers measured every 60s from 3 regions.","seoIntro":"Optimism pits the Foundation's `mainnet.optimism.io` against 5 multi-chain no-key gateways. As on Arbitrum, the official endpoint is documented best-effort, and the measured tail confirms it, while the gateway tier (PublicNode, dRPC, Tenderly, Nodies) competes on tighter distributions. Probes run every 60 seconds from three regions with full response classification, so an endpoint stuck on an old head is flagged `stale` rather than ranked fast.\n","faq":[{"q":"What is the fastest free Optimism RPC right now?","a":"PublicNode currently leads at 92 ms (`eth_getBlockByNumber` p50 over the last 24h), measured against 5 no-key providers probed every 60 seconds from us-east, eu-west and Singapore. The leaderboard re-sorts continuously against fresh Prometheus samples, so the answer on this page is the answer right now, not a quarterly snapshot. Use the region tabs to see the leader from the origin closest to your deployment."},{"q":"Which Optimism RPCs work without an API key?","a":"The 5 providers on this page: PublicNode, dRPC, Tenderly, Nodies, Optimism. Every (provider, chain) pair was live-verified no-key before inclusion, and anything that key-gates, region-blocks or rate-limits below our 15-second cadence is excluded rather than listed with an asterisk."},{"q":"Does the fastest Optimism RPC change by region?","a":"Frequently. The headline number averages three probe origins (us-east, eu-west, Singapore), but per-region leaders regularly diverge, a gateway that wins from Virginia can lose from Singapore by multiples. The region tabs at the top of the page re-scope every number on the page to a single origin; pick the one closest to where your requests actually originate."},{"q":"How is Optimism RPC latency measured here?","a":"One identical JSON-RPC POST (`eth_getBlockByNumber`) every 60 seconds against each provider from each of 3 regions, with the same plain HTTP client. Wall-clock round-trip is recorded at millisecond precision; p50/p90/p99 are computed via Prometheus `quantile_over_time` over 24 hours. Responses are classified (`ok` / `http_err` / `jsonrpc_err` / `stale` / `timeout`) so an endpoint stuck on an old head or returning errors behind HTTP 200 is never ranked as fastest. The harness is open source and every number on this page is a public Prometheus query you can run yourself."},{"q":"Do Base and Optimism RPCs perform the same since both are OP Stack?","a":"No. The stack is shared but the infrastructure is not: different operators, different peering, different gateway coverage. Our measurements regularly show different leaders and different tail behavior on the two chains. If you deploy on both, pick the RPC per chain from each page rather than assuming OP Stack parity."}],"subtitle":"HTTP round-trip latency for eth_getBlockByNumber against every free, no-key public Optimism RPC endpoint, audited every 60 seconds from 3 regions.","category":"RPCs","status":"live","editorialStatus":"live","metric":"RPC latency","unit":"ms","higherIsBetter":false,"abstract":"Per-chain member of the RPC latency cluster. We measure the round-trip latency of a single, identical RPC call (`eth_getBlockByNumber`) against every no-key public Optimism endpoint that sustains continuous probing, 5 providers, every 60 seconds, from us-east, eu-west and Singapore. The harness also classifies every response (ok / http_err / jsonrpc_err / stale / timeout) and audits archive depth every 5 minutes, so the leaderboard rewards sustained, honest availability rather than a fast error message. The cross-chain view lives on the parent rpc-capabilities benchmark; this page is the Optimism-scoped answer with per-region breakdowns as a first-class dimension.\n","methodology":["Cadence: every 60 seconds per provider, from each of 3 probe regions (us-east Virginia, eu-west Amsterdam, sgp Singapore). Headline p50/p90/p99 aggregate across all 3 regions via Prometheus `avg(quantile_over_time(...))`; per-region breakdowns are first-class on this page via the region tabs.","Payload: `{\"jsonrpc\":\"2.0\",\"id\":<rotating>,\"method\":\"eth_getBlockByNumber\",\"params\":[\"latest\",false]}`. Plain HTTP POST, identical for every endpoint, no API key in any request. Non-cacheable by design: the latest-header fetch with a rotating id defeats edge caches that answer eth_blockNumber without touching a node.","Latency: client-side round-trip delta in milliseconds, exposed as both a gauge and a histogram (buckets 50 ms → 10 s), so percentiles are computed via Prometheus `quantile_over_time` over the last 24 hours.","Call-result classification: `ok` (HTTP 200 + non-empty result), `http_err`, `jsonrpc_err` (HTTP 200 carrying an error body), `stale` (more than 20 blocks behind the cross-provider tip), `timeout`. Latency without reliability is a misleading ranking signal.","Archive depth: every 5 minutes we issue `eth_getBalance` at (head − depth) for depths from Geth's default pruned cap up to 5M blocks, exposing which free endpoints actually serve historical state.","This page is part of the per-chain RPC cluster derived from the cross-chain [rpc-capabilities](https://openchainbench.com/benchmarks/rpc-capabilities) benchmark; the identical harness, methodology and exclusion rules apply on every chain.","Chain scope: every query on this page is pinned to chain=\"optimism\". Provider coverage: 5 no-key endpoints (PublicNode, dRPC, Tenderly, Nodies, Optimism). Exclusions follow the cluster-wide rules documented on the parent benchmark."],"findings":["PublicNode currently leads free Optimism RPC at 92 ms (`eth_getBlockByNumber` p50, 24h) across 5 measured providers.","The Optimism Foundation endpoint shows the same best-effort signature as its Arbitrum counterpart: fine median, p99 several multiples worse, exactly what \"documented best-effort\" looks like in continuous measurement.","OP Stack symmetry check: comparing this page with the Base leaderboard shows how two chains sharing a stack diverge purely on operator infrastructure."],"source":"https://github.com/ChainBench/OpenChainBench/tree/main/harnesses/rpc-capabilities","dimensions":{"region":[{"value":"all","label":"All regions"},{"value":"us-east","label":"US-East"},{"value":"eu-west","label":"EU-West"},{"value":"sgp","label":"Singapore"}]},"results":[{"name":"PublicNode","slug":"publicnode","tag":"Allnodes-operated, 70+ chains, archive on 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endpoint.","availability":"live","meta":{"observedAt":1784679881801}},{"name":"Tenderly","slug":"tenderly","tag":"Multi-chain public gateway, 9 chains, no key","ms":{"p50":240.333,"p90":251.333,"p99":267.667,"mean":241.748},"successRate":100,"sampleSize":4319.75,"query":"avg(ocb:rpc_latency_milliseconds:p50_24h{provider=\"tenderly\", chain=\"optimism\"})","formula":"50th percentile over 24h of client-side round-trip latency (ms) for a single `eth_getBlockByNumber` POST sent every 60s from 3 regions (us-east + eu-west + sgp) to Tenderly's no-key Optimism endpoint.","availability":"live","meta":{"observedAt":1784679881801}},{"name":"Nodies","slug":"nodies","tag":"POKT Network's decentralized public RPC successor, 7+ chains","ms":{"p50":266.333,"p90":277,"p99":375.667,"mean":269.541},"successRate":100,"sampleSize":4320.75,"query":"avg(ocb:rpc_latency_milliseconds:p50_24h{provider=\"nodies\", chain=\"optimism\"})","formula":"50th percentile over 24h of client-side round-trip latency (ms) 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c":[{"region":"us-east","p50":164},{"region":"eu-west","p50":166},{"region":"ap-southeast","p50":163}],"tenderly":[{"region":"us-east","p50":241},{"region":"eu-west","p50":240},{"region":"ap-southeast","p50":240}],"nodies":[{"region":"us-east","p50":266},{"region":"eu-west","p50":267},{"region":"ap-southeast","p50":266}],"optimism-official":[{"region":"us-east","p50":342},{"region":"eu-west","p50":342},{"region":"ap-southeast","p50":341}]}},"sampleSize":21600.75,"lastRunAt":"2026-07-22T00:24:25.737Z","cellRanks":{"all|sgp":[{"slug":"publicnode","p50":93},{"slug":"drpc","p50":163},{"slug":"tenderly","p50":240},{"slug":"nodies","p50":266},{"slug":"optimism-official","p50":341}],"all|eu-west":[{"slug":"publicnode","p50":89.5},{"slug":"drpc","p50":166},{"slug":"tenderly","p50":240},{"slug":"nodies","p50":267},{"slug":"optimism-official","p50":342}],"all|us-east":[{"slug":"publicnode","p50":92},{"slug":"drpc","p50":164},{"slug":"tenderly","p50":241},{"slug":"nodies","p50":266},{"slug":"optimism-official","p50":342}]},"dataAsOf":1784679881801},{"slug":"avalanche-rpc","number":"048","title":"Fastest free Avalanche RPC, live no-key endpoint latency","seoTitle":"Fastest free Avalanche RPC 2026","seoDescription":"PublicNode leads free Avalanche RPC at 91 ms (eth_getBlockByNumber p50, 24h). 4 no-key providers measured every 60s from 3 regions.","seoIntro":"Avalanche's C-Chain field combines Ava Labs' official `api.avax.network` with 4 no-key multi-chain gateways. The official endpoint shows one of the tightest distributions among foundation RPCs, a contrast with the best-effort profiles on Arbitrum and Optimism. Every provider answers the identical probe every 60 seconds from us-east, eu-west and Singapore, with stale-head detection flagging anything more than 20 blocks behind the cross-provider tip.\n","faq":[{"q":"What is the fastest free Avalanche RPC right now?","a":"PublicNode currently leads at 91 ms (`eth_getBlockByNumber` p50 over the last 24h), measured against 4 no-key providers probed every 60 seconds from us-east, eu-west and Singapore. The leaderboard re-sorts continuously against fresh Prometheus samples, so the answer on this page is the answer right now, not a quarterly snapshot. Use the region tabs to see the leader from the origin closest to your deployment."},{"q":"Which Avalanche RPCs work without an API key?","a":"The 4 providers on this page: PublicNode, dRPC, Tenderly, Avalanche. Nodies was delisted in July 2026 when its Avalanche endpoint moved behind a paid plan. Every (provider, chain) pair was live-verified no-key before inclusion, and anything that key-gates, region-blocks or rate-limits below our 15-second cadence is excluded rather than listed with an asterisk."},{"q":"Does the fastest Avalanche RPC change by region?","a":"Frequently. The headline number averages three probe origins (us-east, eu-west, Singapore), but per-region leaders regularly diverge, a gateway that wins from Virginia can lose from Singapore by multiples. The region tabs at the top of the page re-scope every number on the page to a single origin; pick the one closest to where your requests actually originate."},{"q":"How is Avalanche RPC latency measured here?","a":"One identical JSON-RPC POST (`eth_getBlockByNumber`) every 60 seconds against each provider from each of 3 regions, with the same plain HTTP client. Wall-clock round-trip is recorded at millisecond precision; p50/p90/p99 are computed via Prometheus `quantile_over_time` over 24 hours. Responses are classified (`ok` / `http_err` / `jsonrpc_err` / `stale` / `timeout`) so an endpoint stuck on an old head or returning errors behind HTTP 200 is never ranked as fastest. The harness is open source and every number on this page is a public Prometheus query you can run yourself."},{"q":"Is the official Avalanche RPC good enough for production reads?","a":"Among chain-official endpoints it is one of the strongest we measure: tight latency distribution and a high success rate rather than the best-effort tail seen on some other foundation RPCs. The usual free-tier caveats still apply (shared rate limits, no SLA), but as a read path it holds up unusually well against the commercial gateways."}],"subtitle":"HTTP round-trip latency for eth_getBlockByNumber against every free, no-key public Avalanche RPC endpoint, audited every 60 seconds from 3 regions.","category":"RPCs","status":"live","editorialStatus":"live","metric":"RPC latency","unit":"ms","higherIsBetter":false,"abstract":"Per-chain member of the RPC latency cluster. We measure the round-trip latency of a single, identical RPC call (`eth_getBlockByNumber`) against every no-key public Avalanche endpoint that sustains continuous probing, 4 providers, every 60 seconds, from us-east, eu-west and Singapore. The harness also classifies every response (ok / http_err / jsonrpc_err / stale / timeout) and audits archive depth every 5 minutes, so the leaderboard rewards sustained, honest availability rather than a fast error message. The cross-chain view lives on the parent rpc-capabilities benchmark; this page is the Avalanche-scoped answer with per-region breakdowns as a first-class dimension.\n","methodology":["Cadence: every 60 seconds per provider, from each of 3 probe regions (us-east Virginia, eu-west Amsterdam, sgp Singapore). Headline p50/p90/p99 aggregate across all 3 regions via Prometheus `avg(quantile_over_time(...))`; per-region breakdowns are first-class on this page via the region tabs.","Payload: `{\"jsonrpc\":\"2.0\",\"id\":<rotating>,\"method\":\"eth_getBlockByNumber\",\"params\":[\"latest\",false]}`. Plain HTTP POST, identical for every endpoint, no API key in any request. Non-cacheable by design: the latest-header fetch with a rotating id defeats edge caches that answer eth_blockNumber without touching a node.","Latency: client-side round-trip delta in milliseconds, exposed as both a gauge and a histogram (buckets 50 ms → 10 s), so percentiles are computed via Prometheus `quantile_over_time` over the last 24 hours.","Call-result classification: `ok` (HTTP 200 + non-empty result), `http_err`, `jsonrpc_err` (HTTP 200 carrying an error body), `stale` (more than 20 blocks behind the cross-provider tip), `timeout`. Latency without reliability is a misleading ranking signal.","Archive depth: every 5 minutes we issue `eth_getBalance` at (head − depth) for depths from Geth's default pruned cap up to 5M blocks, exposing which free endpoints actually serve historical state.","This page is part of the per-chain RPC cluster derived from the cross-chain [rpc-capabilities](https://openchainbench.com/benchmarks/rpc-capabilities) benchmark; the identical harness, methodology and exclusion rules apply on every chain.","Chain scope: every query on this page is pinned to chain=\"avalanche\". Provider coverage: 4 no-key endpoints (PublicNode, dRPC, Tenderly, Avalanche). Nodies was delisted 2026-07 when its Avalanche endpoint moved behind a paid plan. Exclusions follow the cluster-wide rules documented on the parent benchmark."],"findings":["PublicNode currently leads free Avalanche RPC at 91 ms (`eth_getBlockByNumber` p50, 24h) across 4 measured providers.","Unlike the Arbitrum and Optimism foundation endpoints, `api.avax.network` keeps a tight p50-to-p99 ratio, an official endpoint that behaves like managed infrastructure rather than a best-effort courtesy.","PublicNode (91 ms) and dRPC (164 ms) give the C-Chain the same reliable gateway floor they provide on every EVM chain we measure."],"source":"https://github.com/ChainBench/OpenChainBench/tree/main/harnesses/rpc-capabilities","dimensions":{"region":[{"value":"all","label":"All regions"},{"value":"us-east","label":"US-East"},{"value":"eu-west","label":"EU-West"},{"value":"sgp","label":"Singapore"}]},"results":[{"name":"PublicNode","slug":"publicnode","tag":"Allnodes-operated, 70+ chains, archive on most","ms":{"p50":90.6667,"p90":244,"p99":273.333,"mean":109.284},"successRate":100,"sampleSize":4318.75,"query":"avg(ocb:rpc_latency_milliseconds:p50_24h{provider=\"publicnode\", chain=\"avalanche\"})","formula":"50th percentile over 24h of client-side round-trip latency (ms) for a single `eth_getBlockByNumber` POST sent every 60s from 3 regions (us-east + eu-west + sgp) to PublicNode's no-key Avalanche endpoint.","availability":"live","meta":{"observedAt":1784679861122}},{"name":"dRPC","slug":"drpc","tag":"Decentralized RPC mesh, consensus-checked","ms":{"p50":163.667,"p90":177.333,"p99":255.333,"mean":168.456},"successRate":85.7374,"sampleSize":4319.75,"query":"avg(ocb:rpc_latency_milliseconds:p50_24h{provider=\"drpc\", chain=\"avalanche\"})","formula":"50th percentile over 24h of client-side round-trip latency (ms) for a single `eth_getBlockByNumber` POST sent every 60s from 3 regions (us-east + eu-west + sgp) to dRPC's no-key Avalanche endpoint.","availability":"live","meta":{"observedAt":1784679861122}},{"name":"Tenderly","slug":"tenderly","tag":"Multi-chain public gateway, 9 chains, no key","ms":{"p50":331.333,"p90":343,"p99":532,"mean":337.387},"successRate":100,"sampleSize":4320.75,"query":"avg(ocb:rpc_latency_milliseconds:p50_24h{provider=\"tenderly\", chain=\"avalanche\"})","formula":"50th percentile over 24h of client-side round-trip latency (ms) for a single `eth_getBlockByNumber` POST sent every 60s from 3 regions (us-east + eu-west + sgp) to Tenderly's no-key Avalanche endpoint.","availability":"live","meta":{"observedAt":1784679861122}},{"name":"Avalanche","slug":"avalanche-official","tag":"Ava Labs C-Chain public RPC, Avalanche C-Chain only","ms":{"p50":180.667,"p90":193,"p99":214,"mean":182.877},"successRate":100,"sampleSize":4320.75,"query":"avg(ocb:rpc_latency_milliseconds:p50_24h{provider=\"avalanche-official\", chain=\"avalanche\"})","formula":"50th percentile over 24h of client-side round-trip latency (ms) for a single `eth_getBlockByNumber` POST sent every 60s from 3 regions (us-east + eu-west + sgp) to Avalanche's no-key Avalanche 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free BNB Chain RPC, live no-key endpoint latency","seoTitle":"Fastest free BNB Chain RPC 2026","seoDescription":"Binance leads free BNB Chain RPC at 74 ms (eth_getBlockByNumber p50, 24h). 4 no-key providers measured every 60s from 3 regions.","seoIntro":"BNB Chain is the incumbent's chain: Binance's `bsc-dataseed1.binance.org` has been the copy-paste default since 2020, and from some regions it is still the single fastest RPC response we measure anywhere in the cluster. The catch is that it serves exactly one chain, while PublicNode, dRPC and Nodies bring multi-chain coverage with increasingly competitive latency from EU origins. 4 providers, identical probes, three regions.\n","faq":[{"q":"What is the fastest free BNB Chain RPC right now?","a":"Binance currently leads at 74 ms (`eth_getBlockByNumber` p50 over the last 24h), measured against 4 no-key providers probed every 60 seconds from us-east, eu-west and Singapore. The leaderboard re-sorts continuously against fresh Prometheus samples, so the answer on this page is the answer right now, not a quarterly snapshot. Use the region tabs to see the leader from the origin closest to your deployment."},{"q":"Which BNB Chain RPCs work without an API key?","a":"The 4 providers on this page: PublicNode, dRPC, Nodies, Binance. Blink (formerly Merkle) was delisted in July 2026 because its gateway does not serve `eth_getBlockByNumber` (JSON-RPC -32601), the anti-cache probe used across the cluster, so its latency cannot be compared on equal terms. Every (provider, chain) pair was live-verified no-key before inclusion, and anything that key-gates, region-blocks or rate-limits below our 15-second cadence is excluded rather than listed with an asterisk."},{"q":"Does the fastest BNB Chain RPC change by region?","a":"Frequently. The headline number averages three probe origins (us-east, eu-west, Singapore), but per-region leaders regularly diverge, a gateway that wins from Virginia can lose from Singapore by multiples. The region tabs at the top of the page re-scope every number on the page to a single origin; pick the one closest to where your requests actually originate."},{"q":"How is BNB Chain RPC latency measured here?","a":"One identical JSON-RPC POST (`eth_getBlockByNumber`) every 60 seconds against each provider from each of 3 regions, with the same plain HTTP client. Wall-clock round-trip is recorded at millisecond precision; p50/p90/p99 are computed via Prometheus `quantile_over_time` over 24 hours. Responses are classified (`ok` / `http_err` / `jsonrpc_err` / `stale` / `timeout`) so an endpoint stuck on an old head or returning errors behind HTTP 200 is never ranked as fastest. The harness is open source and every number on this page is a public Prometheus query you can run yourself."},{"q":"Is bsc-dataseed still the best RPC for BNB Chain?","a":"It depends entirely on where your requests originate. From regions near Binance's infrastructure the dataseed is often the fastest single response in our whole dataset; from Singapore it can be 10x slower than the gateway tier. Check the region tabs above, the cross-region average is meaningless for an endpoint with this much geographic variance."}],"subtitle":"HTTP round-trip latency for eth_getBlockByNumber against every free, no-key public BNB Chain RPC endpoint, audited every 60 seconds from 3 regions.","category":"RPCs","status":"live","editorialStatus":"live","metric":"RPC latency","unit":"ms","higherIsBetter":false,"abstract":"Per-chain member of the RPC latency cluster. We measure the round-trip latency of a single, identical RPC call (`eth_getBlockByNumber`) against every no-key public BNB Chain endpoint that sustains continuous probing, 4 providers, every 60 seconds, from us-east, eu-west and Singapore. The harness also classifies every response (ok / http_err / jsonrpc_err / stale / timeout) and audits archive depth every 5 minutes, so the leaderboard rewards sustained, honest availability rather than a fast error message. The cross-chain view lives on the parent rpc-capabilities benchmark; this page is the BNB Chain-scoped answer with per-region breakdowns as a first-class dimension.\n","methodology":["Cadence: every 60 seconds per provider, from each of 3 probe regions (us-east Virginia, eu-west Amsterdam, sgp Singapore). Headline p50/p90/p99 aggregate across all 3 regions via Prometheus `avg(quantile_over_time(...))`; per-region breakdowns are first-class on this page via the region tabs.","Payload: `{\"jsonrpc\":\"2.0\",\"id\":<rotating>,\"method\":\"eth_getBlockByNumber\",\"params\":[\"latest\",false]}`. Plain HTTP POST, identical for every endpoint, no API key in any request. Non-cacheable by design: the latest-header fetch with a rotating id defeats edge caches that answer eth_blockNumber without touching a node.","Latency: client-side round-trip delta in milliseconds, exposed as both a gauge and a histogram (buckets 50 ms → 10 s), so percentiles are computed via Prometheus `quantile_over_time` over the last 24 hours.","Call-result classification: `ok` (HTTP 200 + non-empty result), `http_err`, `jsonrpc_err` (HTTP 200 carrying an error body), `stale` (more than 20 blocks behind the cross-provider tip), `timeout`. Latency without reliability is a misleading ranking signal.","Archive depth: every 5 minutes we issue `eth_getBalance` at (head − depth) for depths from Geth's default pruned cap up to 5M blocks, exposing which free endpoints actually serve historical state.","This page is part of the per-chain RPC cluster derived from the cross-chain [rpc-capabilities](https://openchainbench.com/benchmarks/rpc-capabilities) benchmark; the identical harness, methodology and exclusion rules apply on every chain.","Chain scope: every query on this page is pinned to chain=\"bnb\". Provider coverage: 4 no-key endpoints (PublicNode, dRPC, Nodies, Binance). Blink (formerly Merkle) was delisted 2026-07: its gateway does not serve `eth_getBlockByNumber`, the anti-cache probe this cluster standardized on, so it cannot be measured on equal terms. Exclusions follow the cluster-wide rules documented on the parent benchmark."],"findings":["Binance currently leads free BNB Chain RPC at 74 ms (`eth_getBlockByNumber` p50, 24h) across 4 measured providers.","Binance's dataseed is a single-chain specialist: blisteringly fast near its home regions (single-digit milliseconds from us-east at times) and 10x slower from Singapore, the widest regional spread in the cluster."],"source":"https://github.com/ChainBench/OpenChainBench/tree/main/harnesses/rpc-capabilities","dimensions":{"region":[{"value":"all","label":"All regions"},{"value":"us-east","label":"US-East"},{"value":"eu-west","label":"EU-West"},{"value":"sgp","label":"Singapore"}]},"results":[{"name":"PublicNode","slug":"publicnode","tag":"Allnodes-operated, 70+ chains, archive on most","ms":{"p50":171,"p90":181.667,"p99":334,"mean":176.128},"successRate":100,"sampleSize":4318.75,"query":"avg(ocb:rpc_latency_milliseconds:p50_24h{provider=\"publicnode\", chain=\"bnb\"})","formula":"50th percentile over 24h of client-side round-trip latency (ms) for a single `eth_getBlockByNumber` POST sent every 60s from 3 regions (us-east + eu-west + sgp) to PublicNode's no-key BNB Chain endpoint.","availability":"live","meta":{"observedAt":1784679863874}},{"name":"dRPC","slug":"drpc","tag":"Decentralized RPC mesh, consensus-checked","ms":{"p50":17,"p90":104.667,"p99":227.96,"mean":37.8971},"successRate":25.9782,"sampleSize":4319.75,"query":"avg(ocb:rpc_latency_milliseconds:p50_24h{provider=\"drpc\", chain=\"bnb\"})","formula":"50th percentile over 24h of client-side round-trip latency (ms) for a single `eth_getBlockByNumber` POST sent every 60s from 3 regions (us-east + eu-west + sgp) to dRPC's no-key BNB Chain endpoint.","availability":"live","meta":{"observedAt":1784679863874}},{"name":"Nodies","slug":"nodies","tag":"POKT Network's decentralized public RPC successor, 7+ chains","ms":{"p50":177,"p90":262.7,"p99":279.333,"mean":191.855},"successRate":100,"sampleSize":4318.75,"query":"avg(ocb:rpc_latency_milliseconds:p50_24h{provider=\"nodies\", chain=\"bnb\"})","formula":"50th percentile over 24h of client-side round-trip latency (ms) for a single `eth_getBlockByNumber` POST sent every 60s from 3 regions (us-east + eu-west + sgp) to Nodies's no-key BNB Chain endpoint.","availability":"live","meta":{"observedAt":1784679863874}},{"name":"Binance","slug":"binance","tag":"BNB Chain dataseed RPC, Binance-operated","ms":{"p50":74,"p90":267.667,"p99":390,"mean":125.588},"successRate":100,"sampleSize":4319.75,"query":"avg(ocb:rpc_latency_milliseconds:p50_24h{provider=\"binance\", chain=\"bnb\"})","formula":"50th percentile over 24h of client-side round-trip latency (ms) for a single `eth_getBlockByNumber` POST sent every 60s from 3 regions (us-east + eu-west + sgp) to Binance's no-key BNB Chain 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free Polygon RPC, live no-key endpoint latency","seoTitle":"Fastest free Polygon RPC 2026","seoDescription":"dRPC leads free Polygon RPC at 69 ms (eth_getBlockByNumber p50, 24h). 4 no-key providers measured every 60s from 3 regions.","seoIntro":"Polygon has no chain-official endpoint in the free tier, so this is the purest gateway-versus-gateway comparison in the cluster: PublicNode, dRPC, Tenderly and Nodies, all answering the same `eth_getBlockByNumber` probe every 60 seconds from three regions. With no house endpoint to anchor expectations, the regional flips between gateways decide the ranking, and they flip often.\n","faq":[{"q":"What is the fastest free Polygon RPC right now?","a":"dRPC currently leads at 69 ms (`eth_getBlockByNumber` p50 over the last 24h), measured against 4 no-key providers probed every 60 seconds from us-east, eu-west and Singapore. The leaderboard re-sorts continuously against fresh Prometheus samples, so the answer on this page is the answer right now, not a quarterly snapshot. Use the region tabs to see the leader from the origin closest to your deployment."},{"q":"Which Polygon RPCs work without an API key?","a":"The 4 providers on this page: PublicNode, dRPC, Tenderly, Nodies. Every (provider, chain) pair was live-verified no-key before inclusion, and anything that key-gates, region-blocks or rate-limits below our 15-second cadence is excluded rather than listed with an asterisk."},{"q":"Does the fastest Polygon RPC change by region?","a":"Frequently. The headline number averages three probe origins (us-east, eu-west, Singapore), but per-region leaders regularly diverge, a gateway that wins from Virginia can lose from Singapore by multiples. The region tabs at the top of the page re-scope every number on the page to a single origin; pick the one closest to where your requests actually originate."},{"q":"How is Polygon RPC latency measured here?","a":"One identical JSON-RPC POST (`eth_getBlockByNumber`) every 60 seconds against each provider from each of 3 regions, with the same plain HTTP client. Wall-clock round-trip is recorded at millisecond precision; p50/p90/p99 are computed via Prometheus `quantile_over_time` over 24 hours. Responses are classified (`ok` / `http_err` / `jsonrpc_err` / `stale` / `timeout`) so an endpoint stuck on an old head or returning errors behind HTTP 200 is never ranked as fastest. The harness is open source and every number on this page is a public Prometheus query you can run yourself."},{"q":"Why is there no official Polygon RPC in this benchmark?","a":"Polygon's historically documented public endpoint (`polygon-rpc.com`) is operated by a third party and has moved in and out of key-gating and rate-limit regimes that break our 15-second probe cadence. The bench includes only endpoints that sustain continuous no-key probing; the multi-chain gateways above all pass that bar on Polygon."}],"subtitle":"HTTP round-trip latency for eth_getBlockByNumber against every free, no-key public Polygon RPC endpoint, audited every 60 seconds from 3 regions.","category":"RPCs","status":"live","editorialStatus":"live","metric":"RPC latency","unit":"ms","higherIsBetter":false,"abstract":"Per-chain member of the RPC latency cluster. We measure the round-trip latency of a single, identical RPC call (`eth_getBlockByNumber`) against every no-key public Polygon endpoint that sustains continuous probing, 4 providers, every 60 seconds, from us-east, eu-west and Singapore. The harness also classifies every response (ok / http_err / jsonrpc_err / stale / timeout) and audits archive depth every 5 minutes, so the leaderboard rewards sustained, honest availability rather than a fast error message. The cross-chain view lives on the parent rpc-capabilities benchmark; this page is the Polygon-scoped answer with per-region breakdowns as a first-class dimension.\n","methodology":["Cadence: every 60 seconds per provider, from each of 3 probe regions (us-east Virginia, eu-west Amsterdam, sgp Singapore). Headline p50/p90/p99 aggregate across all 3 regions via Prometheus `avg(quantile_over_time(...))`; per-region breakdowns are first-class on this page via the region tabs.","Payload: `{\"jsonrpc\":\"2.0\",\"id\":<rotating>,\"method\":\"eth_getBlockByNumber\",\"params\":[\"latest\",false]}`. Plain HTTP POST, identical for every endpoint, no API key in any request. Non-cacheable by design: the latest-header fetch with a rotating id defeats edge caches that answer eth_blockNumber without touching a node.","Latency: client-side round-trip delta in milliseconds, exposed as both a gauge and a histogram (buckets 50 ms → 10 s), so percentiles are computed via Prometheus `quantile_over_time` over the last 24 hours.","Call-result classification: `ok` (HTTP 200 + non-empty result), `http_err`, `jsonrpc_err` (HTTP 200 carrying an error body), `stale` (more than 20 blocks behind the cross-provider tip), `timeout`. Latency without reliability is a misleading ranking signal.","Archive depth: every 5 minutes we issue `eth_getBalance` at (head − depth) for depths from Geth's default pruned cap up to 5M blocks, exposing which free endpoints actually serve historical state.","This page is part of the per-chain RPC cluster derived from the cross-chain [rpc-capabilities](https://openchainbench.com/benchmarks/rpc-capabilities) benchmark; the identical harness, methodology and exclusion rules apply on every chain.","Chain scope: every query on this page is pinned to chain=\"polygon\". Provider coverage: 4 no-key endpoints (PublicNode, dRPC, Tenderly, Nodies). Exclusions follow the cluster-wide rules documented on the parent benchmark."],"findings":["dRPC currently leads free Polygon RPC at 69 ms (`eth_getBlockByNumber` p50, 24h) across 4 measured providers.","No foundation endpoint means no single-chain specialist skewing the field: every provider here also serves 4+ other chains, making Polygon the cleanest read on pure gateway quality.","Regional leadership flips are the norm: the gateway that wins from us-east is regularly beaten from Singapore, so the region tabs above are not decoration, they are the actual answer."],"source":"https://github.com/ChainBench/OpenChainBench/tree/main/harnesses/rpc-capabilities","dimensions":{"region":[{"value":"all","label":"All regions"},{"value":"us-east","label":"US-East"},{"value":"eu-west","label":"EU-West"},{"value":"sgp","label":"Singapore"}]},"results":[{"name":"PublicNode","slug":"publicnode","tag":"Allnodes-operated, 70+ chains, archive on most","ms":{"p50":89.3333,"p90":123.367,"p99":386.273,"mean":104.669},"successRate":100,"sampleSize":4320.75,"query":"avg(ocb:rpc_latency_milliseconds:p50_24h{provider=\"publicnode\", chain=\"polygon\"})","formula":"50th percentile over 24h of client-side round-trip latency (ms) for a single `eth_getBlockByNumber` POST sent every 60s from 3 regions (us-east + eu-west + sgp) to PublicNode's no-key Polygon endpoint.","availability":"live","meta":{"observedAt":1784679892984}},{"name":"dRPC","slug":"drpc","tag":"Decentralized RPC mesh, consensus-checked","ms":{"p50":69,"p90":195.6,"p99":421.153,"mean":95.458},"successRate":100,"sampleSize":4319.75,"query":"avg(ocb:rpc_latency_milliseconds:p50_24h{provider=\"drpc\", chain=\"polygon\"})","formula":"50th percentile over 24h of client-side round-trip latency (ms) for a single `eth_getBlockByNumber` POST sent every 60s from 3 regions (us-east + eu-west + sgp) to dRPC's no-key Polygon endpoint.","availability":"live","meta":{"observedAt":1784679892984}},{"name":"Tenderly","slug":"tenderly","tag":"Multi-chain public gateway, 9 chains, no key","ms":{"p50":333.667,"p90":351.333,"p99":1726.67,"mean":385.369},"successRate":99.05030000000001,"sampleSize":4317.75,"query":"avg(ocb:rpc_latency_milliseconds:p50_24h{provider=\"tenderly\", chain=\"polygon\"})","formula":"50th percentile over 24h of client-side round-trip latency (ms) for a single `eth_getBlockByNumber` POST sent every 60s from 3 regions (us-east + eu-west + sgp) to Tenderly's no-key Polygon endpoint.","availability":"live","meta":{"observedAt":1784679892984}},{"name":"Nodies","slug":"nodies","tag":"POKT Network's decentralized public RPC successor, 7+ chains","ms":{"p50":179.333,"p90":5145.33,"p99":7663.41,"mean":1358.4},"successRate":40.9544,"sampleSize":4317.75,"query":"avg(ocb:rpc_latency_milliseconds:p50_24h{provider=\"nodies\", chain=\"polygon\"})","formula":"50th percentile over 24h of client-side round-trip latency (ms) for a single `eth_getBlockByNumber` POST sent every 60s from 3 regions (us-east + eu-west + sgp) to Nodies's no-key Polygon 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free Linea RPC, live no-key endpoint latency","seoTitle":"Fastest free Linea RPC 2026","seoDescription":"PublicNode leads free Linea RPC at 91 ms (eth_getBlockByNumber p50, 24h). 3 no-key providers measured every 60s from 3 regions.","seoIntro":"The no-key field thins out on Linea: 3 providers qualify (PublicNode, dRPC, Tenderly), all multi-chain gateways. Thinner competition makes the reliability columns matter more than raw speed, a fast endpoint with a high stale or timeout rate is a worse default than a slightly slower consistent one. Probes run every 60 seconds from us-east, eu-west and Singapore with full response classification.\n","faq":[{"q":"What is the fastest free Linea RPC right now?","a":"PublicNode currently leads at 91 ms (`eth_getBlockByNumber` p50 over the last 24h), measured against 3 no-key providers probed every 60 seconds from us-east, eu-west and Singapore. The leaderboard re-sorts continuously against fresh Prometheus samples, so the answer on this page is the answer right now, not a quarterly snapshot. Use the region tabs to see the leader from the origin closest to your deployment."},{"q":"Which Linea RPCs work without an API key?","a":"The 3 providers on this page: PublicNode, dRPC, Tenderly. Every (provider, chain) pair was live-verified no-key before inclusion, and anything that key-gates, region-blocks or rate-limits below our 15-second cadence is excluded rather than listed with an asterisk."},{"q":"Does the fastest Linea RPC change by region?","a":"Frequently. The headline number averages three probe origins (us-east, eu-west, Singapore), but per-region leaders regularly diverge, a gateway that wins from Virginia can lose from Singapore by multiples. The region tabs at the top of the page re-scope every number on the page to a single origin; pick the one closest to where your requests actually originate."},{"q":"How is Linea RPC latency measured here?","a":"One identical JSON-RPC POST (`eth_getBlockByNumber`) every 60 seconds against each provider from each of 3 regions, with the same plain HTTP client. Wall-clock round-trip is recorded at millisecond precision; p50/p90/p99 are computed via Prometheus `quantile_over_time` over 24 hours. Responses are classified (`ok` / `http_err` / `jsonrpc_err` / `stale` / `timeout`) so an endpoint stuck on an old head or returning errors behind HTTP 200 is never ranked as fastest. The harness is open source and every number on this page is a public Prometheus query you can run yourself."},{"q":"Why do so few free RPCs support Linea?","a":"Free-tier coverage follows demand: gateways add no-key chains when traffic justifies the infrastructure. Linea's cohort (3 providers) is typical of newer L2s, compare with 9 on Ethereum and 8 on Arbitrum. The flip side is that the providers that do qualify are the disciplined multi-chain operators, so the reliability floor is high even where the field is thin."}],"subtitle":"HTTP round-trip latency for eth_getBlockByNumber against every free, no-key public Linea RPC endpoint, audited every 60 seconds from 3 regions.","category":"RPCs","status":"live","editorialStatus":"live","metric":"RPC latency","unit":"ms","higherIsBetter":false,"abstract":"Per-chain member of the RPC latency cluster. We measure the round-trip latency of a single, identical RPC call (`eth_getBlockByNumber`) against every no-key public Linea endpoint that sustains continuous probing, 3 providers, every 60 seconds, from us-east, eu-west and Singapore. The harness also classifies every response (ok / http_err / jsonrpc_err / stale / timeout) and audits archive depth every 5 minutes, so the leaderboard rewards sustained, honest availability rather than a fast error message. The cross-chain view lives on the parent rpc-capabilities benchmark; this page is the Linea-scoped answer with per-region breakdowns as a first-class dimension.\n","methodology":["Cadence: every 60 seconds per provider, from each of 3 probe regions (us-east Virginia, eu-west Amsterdam, sgp Singapore). Headline p50/p90/p99 aggregate across all 3 regions via Prometheus `avg(quantile_over_time(...))`; per-region breakdowns are first-class on this page via the region tabs.","Payload: `{\"jsonrpc\":\"2.0\",\"id\":<rotating>,\"method\":\"eth_getBlockByNumber\",\"params\":[\"latest\",false]}`. Plain HTTP POST, identical for every endpoint, no API key in any request. Non-cacheable by design: the latest-header fetch with a rotating id defeats edge caches that answer eth_blockNumber without touching a node.","Latency: client-side round-trip delta in milliseconds, exposed as both a gauge and a histogram (buckets 50 ms → 10 s), so percentiles are computed via Prometheus `quantile_over_time` over the last 24 hours.","Call-result classification: `ok` (HTTP 200 + non-empty result), `http_err`, `jsonrpc_err` (HTTP 200 carrying an error body), `stale` (more than 20 blocks behind the cross-provider tip), `timeout`. Latency without reliability is a misleading ranking signal.","Archive depth: every 5 minutes we issue `eth_getBalance` at (head − depth) for depths from Geth's default pruned cap up to 5M blocks, exposing which free endpoints actually serve historical state.","This page is part of the per-chain RPC cluster derived from the cross-chain [rpc-capabilities](https://openchainbench.com/benchmarks/rpc-capabilities) benchmark; the identical harness, methodology and exclusion rules apply on every chain.","Chain scope: every query on this page is pinned to chain=\"linea\". Provider coverage: 3 no-key endpoints (PublicNode, dRPC, Tenderly). Exclusions follow the cluster-wide rules documented on the parent benchmark."],"findings":["PublicNode currently leads free Linea RPC at 91 ms (`eth_getBlockByNumber` p50, 24h) across 3 measured providers.","With only 4 qualifying providers, a single gateway having a bad day reshuffles the whole board; the success-rate column is the tiebreaker the median doesn't show.","Tenderly covers Linea in its 9-chain public gateway, one of the few non-major chains where its no-key tier reaches."],"source":"https://github.com/ChainBench/OpenChainBench/tree/main/harnesses/rpc-capabilities","dimensions":{"region":[{"value":"all","label":"All regions"},{"value":"us-east","label":"US-East"},{"value":"eu-west","label":"EU-West"},{"value":"sgp","label":"Singapore"}]},"results":[{"name":"PublicNode","slug":"publicnode","tag":"Allnodes-operated, 70+ chains, archive on most","ms":{"p50":91,"p90":111.167,"p99":271.333,"mean":101.333},"successRate":100,"sampleSize":4317.75,"query":"avg(ocb:rpc_latency_milliseconds:p50_24h{provider=\"publicnode\", chain=\"linea\"})","formula":"50th percentile over 24h of client-side round-trip latency (ms) for a single `eth_getBlockByNumber` POST sent every 60s from 3 regions (us-east + eu-west + sgp) to PublicNode's no-key Linea endpoint.","availability":"live","meta":{"observedAt":1784679878787}},{"name":"dRPC","slug":"drpc","tag":"Decentralized RPC mesh, consensus-checked","ms":{"p50":204.667,"p90":276.667,"p99":322,"mean":215.827},"successRate":85.5985,"sampleSize":4319.75,"query":"avg(ocb:rpc_latency_milliseconds:p50_24h{provider=\"drpc\", chain=\"linea\"})","formula":"50th percentile over 24h of client-side round-trip latency (ms) for a single `eth_getBlockByNumber` POST sent every 60s from 3 regions (us-east + eu-west + sgp) to dRPC's no-key Linea endpoint.","availability":"live","meta":{"observedAt":1784679878787}},{"name":"Tenderly","slug":"tenderly","tag":"Multi-chain public gateway, 9 chains, no key","ms":{"p50":328.333,"p90":340.333,"p99":412.333,"mean":331.04},"successRate":100,"sampleSize":4320.75,"query":"avg(ocb:rpc_latency_milliseconds:p50_24h{provider=\"tenderly\", chain=\"linea\"})","formula":"50th percentile over 24h of client-side round-trip latency (ms) for a single `eth_getBlockByNumber` POST sent every 60s from 3 regions (us-east + eu-west + sgp) to Tenderly's no-key Linea 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free Scroll RPC, live no-key endpoint latency","seoTitle":"Fastest free Scroll RPC 2026","seoDescription":"PublicNode leads free Scroll RPC at 97 ms (eth_getBlockByNumber p50, 24h). 3 no-key providers measured every 60s from 3 regions.","seoIntro":"Scroll runs the same 4-gateway field as Linea (PublicNode, dRPC, Tenderly), making the two chains a natural controlled experiment: same providers, same probe, different chain infrastructure. The differences you see between this page and the Linea leaderboard are the chains, not the gateways. Probes every 60 seconds, three regions, stale-head detection against the cross-provider tip.\n","faq":[{"q":"What is the fastest free Scroll RPC right now?","a":"PublicNode currently leads at 97 ms (`eth_getBlockByNumber` p50 over the last 24h), measured against 3 no-key providers probed every 60 seconds from us-east, eu-west and Singapore. The leaderboard re-sorts continuously against fresh Prometheus samples, so the answer on this page is the answer right now, not a quarterly snapshot. Use the region tabs to see the leader from the origin closest to your deployment."},{"q":"Which Scroll RPCs work without an API key?","a":"The 3 providers on this page: PublicNode, dRPC, Tenderly. Every (provider, chain) pair was live-verified no-key before inclusion, and anything that key-gates, region-blocks or rate-limits below our 15-second cadence is excluded rather than listed with an asterisk."},{"q":"Does the fastest Scroll RPC change by region?","a":"Frequently. The headline number averages three probe origins (us-east, eu-west, Singapore), but per-region leaders regularly diverge, a gateway that wins from Virginia can lose from Singapore by multiples. The region tabs at the top of the page re-scope every number on the page to a single origin; pick the one closest to where your requests actually originate."},{"q":"How is Scroll RPC latency measured here?","a":"One identical JSON-RPC POST (`eth_getBlockByNumber`) every 60 seconds against each provider from each of 3 regions, with the same plain HTTP client. Wall-clock round-trip is recorded at millisecond precision; p50/p90/p99 are computed via Prometheus `quantile_over_time` over 24 hours. Responses are classified (`ok` / `http_err` / `jsonrpc_err` / `stale` / `timeout`) so an endpoint stuck on an old head or returning errors behind HTTP 200 is never ranked as fastest. The harness is open source and every number on this page is a public Prometheus query you can run yourself."},{"q":"Which free RPC should I default to on Scroll?","a":"Start from the current leader above, then check its per-region row for the origin closest to your deployment. With a 4-provider field the honest answer changes more often than on Ethereum, so a primary-plus-fallback pair (the top two on this page) is the resilient configuration rather than any single hardcoded URL."}],"subtitle":"HTTP round-trip latency for eth_getBlockByNumber against every free, no-key public Scroll RPC endpoint, audited every 60 seconds from 3 regions.","category":"RPCs","status":"live","editorialStatus":"live","metric":"RPC latency","unit":"ms","higherIsBetter":false,"abstract":"Per-chain member of the RPC latency cluster. We measure the round-trip latency of a single, identical RPC call (`eth_getBlockByNumber`) against every no-key public Scroll endpoint that sustains continuous probing, 3 providers, every 60 seconds, from us-east, eu-west and Singapore. The harness also classifies every response (ok / http_err / jsonrpc_err / stale / timeout) and audits archive depth every 5 minutes, so the leaderboard rewards sustained, honest availability rather than a fast error message. The cross-chain view lives on the parent rpc-capabilities benchmark; this page is the Scroll-scoped answer with per-region breakdowns as a first-class dimension.\n","methodology":["Cadence: every 60 seconds per provider, from each of 3 probe regions (us-east Virginia, eu-west Amsterdam, sgp Singapore). Headline p50/p90/p99 aggregate across all 3 regions via Prometheus `avg(quantile_over_time(...))`; per-region breakdowns are first-class on this page via the region tabs.","Payload: `{\"jsonrpc\":\"2.0\",\"id\":<rotating>,\"method\":\"eth_getBlockByNumber\",\"params\":[\"latest\",false]}`. Plain HTTP POST, identical for every endpoint, no API key in any request. Non-cacheable by design: the latest-header fetch with a rotating id defeats edge caches that answer eth_blockNumber without touching a node.","Latency: client-side round-trip delta in milliseconds, exposed as both a gauge and a histogram (buckets 50 ms → 10 s), so percentiles are computed via Prometheus `quantile_over_time` over the last 24 hours.","Call-result classification: `ok` (HTTP 200 + non-empty result), `http_err`, `jsonrpc_err` (HTTP 200 carrying an error body), `stale` (more than 20 blocks behind the cross-provider tip), `timeout`. Latency without reliability is a misleading ranking signal.","Archive depth: every 5 minutes we issue `eth_getBalance` at (head − depth) for depths from Geth's default pruned cap up to 5M blocks, exposing which free endpoints actually serve historical state.","This page is part of the per-chain RPC cluster derived from the cross-chain [rpc-capabilities](https://openchainbench.com/benchmarks/rpc-capabilities) benchmark; the identical harness, methodology and exclusion rules apply on every chain.","Chain scope: every query on this page is pinned to chain=\"scroll\". Provider coverage: 3 no-key endpoints (PublicNode, dRPC, Tenderly). Exclusions follow the cluster-wide rules documented on the parent benchmark."],"findings":["PublicNode currently leads free Scroll RPC at 97 ms (`eth_getBlockByNumber` p50, 24h) across 3 measured providers.","Scroll and Linea share an identical provider field, so cross-reading the two pages isolates chain-side latency from gateway-side latency, a comparison no single-chain benchmark can offer.","As on every thin-cohort chain, the success-rate column outranks the latency column for picking a production default."],"source":"https://github.com/ChainBench/OpenChainBench/tree/main/harnesses/rpc-capabilities","dimensions":{"region":[{"value":"all","label":"All regions"},{"value":"us-east","label":"US-East"},{"value":"eu-west","label":"EU-West"},{"value":"sgp","label":"Singapore"}]},"results":[{"name":"PublicNode","slug":"publicnode","tag":"Allnodes-operated, 70+ chains, archive on most","ms":{"p50":96.6667,"p90":261.667,"p99":495.667,"mean":152.144},"successRate":100,"sampleSize":4318.75,"query":"avg(ocb:rpc_latency_milliseconds:p50_24h{provider=\"publicnode\", chain=\"scroll\"})","formula":"50th percentile over 24h of client-side round-trip latency (ms) for a single `eth_getBlockByNumber` POST sent every 60s from 3 regions (us-east + eu-west + sgp) to PublicNode's no-key Scroll endpoint.","availability":"live","meta":{"observedAt":1784679899038}},{"name":"dRPC","slug":"drpc","tag":"Decentralized RPC mesh, consensus-checked","ms":{"p50":208.667,"p90":333.3,"p99":860,"mean":227.964},"successRate":84.8737,"sampleSize":4317.75,"query":"avg(ocb:rpc_latency_milliseconds:p50_24h{provider=\"drpc\", chain=\"scroll\"})","formula":"50th percentile over 24h of client-side round-trip latency (ms) for a single `eth_getBlockByNumber` POST sent every 60s from 3 regions (us-east + eu-west + sgp) to dRPC's no-key Scroll endpoint.","availability":"live","meta":{"observedAt":1784679899038}},{"name":"Tenderly","slug":"tenderly","tag":"Multi-chain public gateway, 9 chains, no key","ms":{"p50":327.333,"p90":341.667,"p99":422.667,"mean":332.621},"successRate":100,"sampleSize":4320.75,"query":"avg(ocb:rpc_latency_milliseconds:p50_24h{provider=\"tenderly\", chain=\"scroll\"})","formula":"50th percentile over 24h of client-side round-trip latency (ms) for a single `eth_getBlockByNumber` POST sent every 60s from 3 regions (us-east + eu-west + sgp) to Tenderly's no-key Scroll 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free Mantle RPC, live no-key endpoint latency","seoTitle":"Fastest free Mantle RPC 2026","seoDescription":"PublicNode leads free Mantle RPC at 90 ms (eth_getBlockByNumber p50, 24h). 3 no-key providers measured every 60s from 3 regions.","seoIntro":"Mantle rounds out the cluster's long tail with 4 qualifying no-key providers, all multi-chain gateways (PublicNode, dRPC, Tenderly). Like every chain in the family, the number that matters is a sustained median, the same `eth_getBlockByNumber` call every 60 seconds from three regions over a rolling 24 hours, not a one-off marketing burst, and archive-depth support is audited separately every 5 minutes.\n","faq":[{"q":"What is the fastest free Mantle RPC right now?","a":"PublicNode currently leads at 90 ms (`eth_getBlockByNumber` p50 over the last 24h), measured against 3 no-key providers probed every 60 seconds from us-east, eu-west and Singapore. The leaderboard re-sorts continuously against fresh Prometheus samples, so the answer on this page is the answer right now, not a quarterly snapshot. Use the region tabs to see the leader from the origin closest to your deployment."},{"q":"Which Mantle RPCs work without an API key?","a":"The 3 providers on this page: PublicNode, dRPC, Tenderly. Every (provider, chain) pair was live-verified no-key before inclusion, and anything that key-gates, region-blocks or rate-limits below our 15-second cadence is excluded rather than listed with an asterisk."},{"q":"Does the fastest Mantle RPC change by region?","a":"Frequently. The headline number averages three probe origins (us-east, eu-west, Singapore), but per-region leaders regularly diverge, a gateway that wins from Virginia can lose from Singapore by multiples. The region tabs at the top of the page re-scope every number on the page to a single origin; pick the one closest to where your requests actually originate."},{"q":"How is Mantle RPC latency measured here?","a":"One identical JSON-RPC POST (`eth_getBlockByNumber`) every 60 seconds against each provider from each of 3 regions, with the same plain HTTP client. Wall-clock round-trip is recorded at millisecond precision; p50/p90/p99 are computed via Prometheus `quantile_over_time` over 24 hours. Responses are classified (`ok` / `http_err` / `jsonrpc_err` / `stale` / `timeout`) so an endpoint stuck on an old head or returning errors behind HTTP 200 is never ranked as fastest. The harness is open source and every number on this page is a public Prometheus query you can run yourself."},{"q":"Are free Mantle RPCs reliable enough to build on?","a":"The four qualifying gateways all maintain high measured success rates on Mantle, but a 4-provider field means less redundancy if one degrades. Use the current leader as primary and the runner-up as fallback, and re-check this page after incidents, the ranking is live and the honest answer moves."}],"subtitle":"HTTP round-trip latency for eth_getBlockByNumber against every free, no-key public Mantle RPC endpoint, audited every 60 seconds from 3 regions.","category":"RPCs","status":"live","editorialStatus":"live","metric":"RPC latency","unit":"ms","higherIsBetter":false,"abstract":"Per-chain member of the RPC latency cluster. We measure the round-trip latency of a single, identical RPC call (`eth_getBlockByNumber`) against every no-key public Mantle endpoint that sustains continuous probing, 3 providers, every 60 seconds, from us-east, eu-west and Singapore. The harness also classifies every response (ok / http_err / jsonrpc_err / stale / timeout) and audits archive depth every 5 minutes, so the leaderboard rewards sustained, honest availability rather than a fast error message. The cross-chain view lives on the parent rpc-capabilities benchmark; this page is the Mantle-scoped answer with per-region breakdowns as a first-class dimension.\n","methodology":["Cadence: every 60 seconds per provider, from each of 3 probe regions (us-east Virginia, eu-west Amsterdam, sgp Singapore). Headline p50/p90/p99 aggregate across all 3 regions via Prometheus `avg(quantile_over_time(...))`; per-region breakdowns are first-class on this page via the region tabs.","Payload: `{\"jsonrpc\":\"2.0\",\"id\":<rotating>,\"method\":\"eth_getBlockByNumber\",\"params\":[\"latest\",false]}`. Plain HTTP POST, identical for every endpoint, no API key in any request. Non-cacheable by design: the latest-header fetch with a rotating id defeats edge caches that answer eth_blockNumber without touching a node.","Latency: client-side round-trip delta in milliseconds, exposed as both a gauge and a histogram (buckets 50 ms → 10 s), so percentiles are computed via Prometheus `quantile_over_time` over the last 24 hours.","Call-result classification: `ok` (HTTP 200 + non-empty result), `http_err`, `jsonrpc_err` (HTTP 200 carrying an error body), `stale` (more than 20 blocks behind the cross-provider tip), `timeout`. Latency without reliability is a misleading ranking signal.","Archive depth: every 5 minutes we issue `eth_getBalance` at (head − depth) for depths from Geth's default pruned cap up to 5M blocks, exposing which free endpoints actually serve historical state.","This page is part of the per-chain RPC cluster derived from the cross-chain [rpc-capabilities](https://openchainbench.com/benchmarks/rpc-capabilities) benchmark; the identical harness, methodology and exclusion rules apply on every chain.","Chain scope: every query on this page is pinned to chain=\"mantle\". Provider coverage: 3 no-key endpoints (PublicNode, dRPC, Tenderly). Exclusions follow the cluster-wide rules documented on the parent benchmark."],"findings":["PublicNode currently leads free Mantle RPC at 90 ms (`eth_getBlockByNumber` p50, 24h) across 3 measured providers.","Mantle's field mirrors Linea and Scroll: the disciplined multi-chain gateways and nobody else, so the leaderboard is a pure read on how each gateway's infrastructure reaches the chain.","Thin cohorts amplify tail events, one regional incident at one gateway visibly moves the 24h aggregate, which is exactly why the page shows per-region breakdowns instead of only the average."],"source":"https://github.com/ChainBench/OpenChainBench/tree/main/harnesses/rpc-capabilities","dimensions":{"region":[{"value":"all","label":"All regions"},{"value":"us-east","label":"US-East"},{"value":"eu-west","label":"EU-West"},{"value":"sgp","label":"Singapore"}]},"results":[{"name":"PublicNode","slug":"publicnode","tag":"Allnodes-operated, 70+ chains, archive on most","ms":{"p50":89.6667,"p90":153.367,"p99":846.333,"mean":116.877},"successRate":100,"sampleSize":4320.75,"query":"avg(ocb:rpc_latency_milliseconds:p50_24h{provider=\"publicnode\", chain=\"mantle\"})","formula":"50th percentile over 24h of client-side round-trip latency (ms) for a single `eth_getBlockByNumber` POST sent every 60s from 3 regions (us-east + eu-west + sgp) to PublicNode's no-key Mantle endpoint.","availability":"live","meta":{"observedAt":1784679878805}},{"name":"dRPC","slug":"drpc","tag":"Decentralized RPC mesh, consensus-checked","ms":{"p50":347.333,"p90":446.333,"p99":570.667,"mean":276.28},"successRate":84.0704,"sampleSize":4319.75,"query":"avg(ocb:rpc_latency_milliseconds:p50_24h{provider=\"drpc\", chain=\"mantle\"})","formula":"50th percentile over 24h of client-side round-trip latency (ms) for a single `eth_getBlockByNumber` POST sent every 60s from 3 regions (us-east + eu-west + sgp) to dRPC's no-key Mantle endpoint.","availability":"live","meta":{"observedAt":1784679878805}},{"name":"Tenderly","slug":"tenderly","tag":"Multi-chain public gateway, 9 chains, no key","ms":{"p50":330.333,"p90":341,"p99":373.667,"mean":332.043},"successRate":100,"sampleSize":4319.75,"query":"avg(ocb:rpc_latency_milliseconds:p50_24h{provider=\"tenderly\", chain=\"mantle\"})","formula":"50th percentile over 24h of client-side round-trip latency (ms) for a single `eth_getBlockByNumber` POST sent every 60s from 3 regions (us-east + eu-west + sgp) to Tenderly's no-key Mantle 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DEX for a $BOT market order, live slippage ranked","seoTitle":"Best DEX to trade $BOT, live orderbook slippage","seoDescription":"Hyperliquid leads $BOT slippage at 0.35% for a $10,000 buy (24h avg). Lighter vs Hyperliquid HIP-3 (xyz:BOT), measured live from public orderbooks every 30 seconds.","seoIntro":"$BOT is currently listed on two decentralized perp venues, Lighter and\nHyperliquid HIP-3 (as `xyz:BOT`, deployed by third-party operator xyz).\nRack-rate taker fees do not tell a trader which venue actually fills\ntheir market order closer to mid; the answer depends on the depth of\nthe visible orderbook at the notional they want to trade, and both\nbooks move continuously. This benchmark polls the two public\norderbook endpoints every 30 seconds, walks each side for a fixed set\nof USD notionals (from $100 up to $500,000), and publishes the\neffective slippage in basis points as a live gauge per venue, per side\nand per size. The headline number is the 24 hour average at the\n$10,000 buy bucket, which is the size a mid-sized $BOT trader is most\nlikely to execute at market. CEX venues are not part of this bench;\nDefiLlama covers the CEX side of the audit.\n","faq":[{"q":"Which DEX has the best execution for a $BOT market order right now?","a":"Hyperliquid currently leads at 0.35% of slippage on a $10,000 buy (24 h average). The leaderboard re-sorts every 30 seconds against fresh Prometheus samples so the answer reflects the last day of live orderbook walks on Lighter and Hyperliquid HIP-3 (`xyz:BOT`), not a marketing snapshot."},{"q":"Why is $BOT only tracked on two venues?","a":"Because those are the only two decentralized perp venues currently listing $BOT with a public orderbook endpoint: Lighter (market_id 185) and Hyperliquid HIP-3 under the `xyz:BOT` coin symbol. Native Hyperliquid does not have $BOT listed, so `coin=\"BOT\"` on `/info` returns nothing; the HIP-3 permissionless listing is the only path for $BOT on Hyperliquid infrastructure today."},{"q":"What is HIP-3 and how is `xyz:BOT` different from a native Hyperliquid perp?","a":"HIP-3 is Hyperliquid's permissionless perp listing standard: a third party (here `xyz`) stakes HYPE and deploys a perp market under a namespaced coin symbol, e.g. `xyz:BOT`. The orderbook is settled on the same HyperBFT infrastructure as native Hyperliquid perps, but liquidity is bootstrapped by the deployer rather than by the flagship Hyperliquid market-making stack, so depth on smaller HIP-3 markets is typically thinner."},{"q":"How is slippage computed here vs a raw quote?","a":"Every 30 seconds the harness fetches the top of book on each venue, walks the ask side (for a buy) or the bid side (for a sell), and consumes levels until the requested USD notional is filled. Effective execution price is size-weighted; slippage is (avg_exec - mid) / mid in basis points. This is exactly what a market order would cross assuming the visible book at tick time, no impact model on top."},{"q":"Why publish so many size buckets?","a":"Because execution quality is not linear in size. A venue that fills $1k with 1 bps of slippage can charge 200 bps at $50k if its book thins out fast. The bench publishes eight size buckets from $100 to $500,000 on both sides so a trader can pick the row that matches their intended clip."},{"q":"What about CEX venues like Binance or Bybit for $BOT?","a":"Out of scope for this bench. CEX taker fees and orderbook depth are covered by DefiLlama's aggregated stats for the CEX side. This bench answers a narrower question: given that a user wants to execute onchain, which DEX will fill their $BOT order closer to mid right now."},{"q":"What happens when the visible book cannot fill the requested size?","a":"The slippage series for that (venue, side, size) is dropped for that tick and `perp_execution_max_fillable_usd{side}` reports how much notional the book could actually clear, so the leaderboard does not silently print a misleading number when depth runs out."}],"subtitle":"Effective slippage in basis points for a $10,000 market buy of $BOT perps, walked live on each DEX orderbook every 30 seconds. Lower means the venue fills the size closer to mid. Lighter native and Hyperliquid HIP-3 (xyz:BOT) are the two DEX venues currently listing $BOT.","category":"Trading","status":"live","editorialStatus":"live","metric":"Effective slippage","unit":"bps","higherIsBetter":false,"abstract":"We measure the live execution quality of a $BOT market order across\nevery DEX that lists $BOT as a perp. Every 30 seconds the harness\npolls Lighter `/api/v1/orderBookOrders?market_id=185` and Hyperliquid\n`POST /info {type:l2Book, coin:\"xyz:BOT\"}`, computes the top-of-book\nmid, then walks each side for a set of USD notional buckets to derive\nthe size-weighted average execution price. Effective slippage is\nreported in basis points relative to mid, per venue, per side and per\nsize. Books that lack the depth for a given size are excluded from\nthe slippage series and only reported through\n`perp_execution_max_fillable_usd`. No trades are placed; every value\nis derived from public, unauthenticated REST endpoints.\n","methodology":["Cadence: every 30 seconds, in parallel across both venues, 10 second timeout per fetch.","Lighter: `GET https://mainnet.zklighter.elliot.ai/api/v1/orderBookOrders?market_id=185&limit=100` returns the top-100 asks and bids for the $BOT perp market.","Hyperliquid HIP-3: `POST https://api.hyperliquid.xyz/info {\"type\":\"l2Book\",\"coin\":\"xyz:BOT\"}` returns the L2 book for the xyz-deployed BOT perp under HIP-3 permissionless listings.","Mid price: (best_bid + best_ask) / 2 from the top of each book, per tick, per venue.","Walk: for each USD notional bucket, iterate the sorted side, consuming `min(level_notional_usd, remaining_target_usd)` until target is filled; size-weighted average execution price is target_usd / total_base_filled.","Slippage bps: (avg_execution_price - mid) / mid x 10000 on the buy side, mirrored on the sell side, sign-normalized so every published value represents cost to the trader.","Buckets published: $100, $1,000, $5,000, $10,000, $25,000, $50,000, $100,000, $500,000. Both sides (buy, sell).","Depth fallback: if the visible book does not cover 99% of the requested size, the slippage series for that (venue, side, size) is dropped for that tick and `perp_execution_max_fillable_usd{side}` reports the ceiling instead.","Headline. avg_over_time of `perp_execution_slippage_bps{asset=\"BOT\", side=\"buy\", size_usd=\"10000\"}` over 24h, per venue. A one-print spike does not move the ranking.","Failures. A venue that errors or times out drops its `perp_execution_health` to 0 and increments `perp_execution_fetch_errors_total{error_type}`; the leaderboard tags it as stale.","CEX venues are intentionally out of scope. Traders comparing against a Binance or Bybit fill should read DefiLlama for the CEX-side audit; the DEX bench does not aggregate what it cannot orderbook-walk from a public endpoint."],"findings":["Hyperliquid currently leads at 0.35% of slippage on a $10,000 $BOT buy (24 h average) between the 2 DEX venues listing $BOT.","Lighter sits at 1.22% on the same $10,000 bucket. Fully onchain orderbook on zk-rollup, zero taker fee, so the number is essentially the crossed half-spread plus depth impact.","Hyperliquid sits at 0.35% on the same $10,000 bucket. HIP-3 markets settle through the same HyperBFT orderbook engine as native Hyperliquid perps but liquidity is provided by the deployer-affiliated market maker, so depth can be thinner than on a native flagship pair.","Both venues publish additional size buckets ($100 up to $500,000, both sides). The full grid is exposed via the raw `perp_execution_slippage_bps` series with the `size_usd` and `side` labels.","$BOT is not currently listed on any other decentralized perp venue with a public orderbook endpoint. New listings will show up here automatically once their `(asset, venue)` pair is added to the harness config."],"source":"https://github.com/ChainBench/OpenChainBench/tree/main/harnesses/perp-execution-scanner","results":[{"name":"Lighter","slug":"lighter","tag":"zk-rollup perp DEX, fully onchain orderbook","ms":{"p50":122.248,"p90":132.283,"p99":754.729,"mean":122.248},"successRate":100,"sampleSize":5760,"query":"avg_over_time(perp_execution_slippage_bps{asset=\"BOT\", venue=\"lighter\", side=\"buy\", size_usd=\"10000\"}[24h])","formula":"Average over 24h of the effective slippage in bps for a $10,000 buy on Lighter's native $BOT orderbook, walked live every 30 seconds from `/api/v1/orderBookOrders?market_id=185`.","availability":"live","meta":{"observedAt":1784679885744}},{"name":"Hyperliquid","slug":"hyperliquid","tag":"HIP-3 permissionless perp, xyz:BOT market","ms":{"p50":35.1405,"p90":48.4167,"p99":77.8403,"mean":35.1405},"successRate":100,"sampleSize":4198,"query":"avg_over_time(perp_execution_slippage_bps{asset=\"BOT\", venue=\"hyperliquid\", side=\"buy\", size_usd=\"10000\"}[24h])","formula":"Average over 24h of the effective slippage in bps for a $10,000 buy on the Hyperliquid HIP-3 `xyz:BOT` orderbook, walked live every 30 seconds from `POST /info {type:l2Book, coin:\"xyz:BOT\"}`.","availability":"live","meta":{"observedAt":1784679885744}}],"extras":{"series24h":{"lighter":[98.8351,57.3769,76.9229,95.1508,32.7539,125.141,114.291,132.283,69.5922,125.283,109.169,47.8578,84.1737,41.6199,37.3393,85.5827,93.9188,101.837,104.852,119.786,74.8917,65.3926,57.7379,74.9043,82.648,42.8301,122.91,113.26,131.754,100.747,91.9435,144.467,115.57,99.7746,91.2865,82.0776,89.3758,84.856,88.4039,88.7152,82.3294,114.018,154.129,86.6749,79.1612,87.1093,75.184,82.7194,95.4506,72.1627,82.7603,85.4788,81.3821,96.9318,84.7971,67.9595,99.8679,78.0834,72.5205,78.2853,701.66,731.812,723.179,134.568,67.3757,72.8835,95.1033,75.5343,89.6837,85.5028,72.2256,104.534,72.5988],"hyperliquid":[null,null,35.9869,44.4379,35.7689,null,null,39.2031,23.3691,38.3696,null,35.8882,49.1314,null,85.7472,34.9244,30.8475,24.1356,41.2402,32.3285,40.8795,28.4293,34.9845,32.3249,42.5353,29.7999,null,null,null,null,50.1516,33.5205,null,35.0735,25.3534,19.3186,28.6658,39.3174,29.514,null,null,42.5604,40.5868,22.9739,null,26.854,44.6514,50.3974,28.5209,33.5371,39.7355,30.0271,25.0782,35.5446,43.4419,25.0851,24.7577,33.5644,40.5122,66.9851,36.152,50.1094,51.7294,null,null,null,0.173319,24.3113,30.4376,35.6519,33.3005,null,null]},"series7d":{"lighter":[133.029,70.1479,62.9245,92.684,107.358,92.46,59.5366,50.1003,80.7602,78.1465,104.659,284.847,86.2005,84.865,95.61,73.0616,75.1815,87.7007,120.319,83.9701,169.694,86.2734,103.641,118.15,82.0275,82.1814,94.8736,92.9339,133.808,101.647,73.9214,81.4422,86.8076,86.2721,76.5815,64.1808,85.969,84.9435,75.4992,76.9603,109.418,100.467,86.7372,80.2965,81.7667,73.0894,91.3023,91.248,77.8179,82.8481,120.34,89.7505,91.4708,66.1104,65.6174,65.6174,55.7348,82.0891,69.2532,85.6724,96.7643,93.8259,94.8435,69.3703,86.1186,85.392,87.7461,65.0792,73.2767,86.3288,91.2516,69.6119,98.8351,114.291,84.1737,104.852,82.648,91.9435,89.3758,154.129,95.4506,84.7971,701.66,95.1033,72.5988],"hyperliquid":[39.6228,null,null,58.7875,null,null,49.1644,48.927,49.584,31.2686,51.3168,null,60.963,null,null,null,null,null,22.222,42.2533,null,null,69.3176,null,50.6677,null,null,null,47.986,87.4916,59.2861,56.5398,74.8191,55.9295,null,62.0071,null,71.232,96.3443,59.0606,null,13.5403,42.9581,12.8328,50.4212,47.8852,4.81288,11.7853,80.6956,null,null,5.54184,10.4123,18.2373,null,null,1.69062,25.4579,null,null,null,42.86,54.0664,null,56.4175,null,null,70.4166,null,43.6585,null,1.26023,null,null,49.1314,41.2402,42.5353,50.1516,28.6658,40.5868,28.5209,43.4419,36.152,0.173319,null]},"series30d":{"lighter":[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,103.728,98.4738,72.1405,109.232,92.2869,106.076,108.774,121.125,124.12,81.1697,81.5634,55.9064,57.9878,50.898,51.3245,51.3245,23.6437,77.4623,43.957,30.4878,90.8712,68.4136,133.029,59.5366,86.2005,120.319,82.0275,73.9214,85.969,86.7372,77.8179,65.6174,96.7643,87.7461,98.8351,89.3758,72.5988],"hyperliquid":[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,78.5604,80.8385,63.1846,51.1721,33.5083,50.582,52.4967,45.6647,88.12,61.784,40.1096,51.2984,40.3946,35.9342,null,null,11.1237,22.5145,null,20.2503,29.3567,21.8333,39.6228,49.1644,60.963,22.222,50.6677,59.2861,null,42.9581,80.6956,null,null,null,null,28.6658,null]},"regions":{}},"sampleSize":9958,"lastRunAt":"2026-07-22T00:24:37.301Z","dataAsOf":1784679885744},{"slug":"sonic-rpc","number":"055","title":"Fastest free Sonic RPC, live no-key endpoint latency","seoTitle":"Fastest free Sonic RPC 2026","seoDescription":"PublicNode leads free Sonic RPC at 90 ms (eth_getBlockByNumber p50, 24h). 5 no-key providers measured every 60s from 3 regions.","seoIntro":"Sonic ties Gnosis for the largest cohort in the long-tail expansion: 5 no-key providers, including Sonic Labs' own `rpc.soniclabs.com` and the only keyless Lava endpoint outside Ethereum and Arbitrum, `sonic.lava.build` answers no-key while every other Lava subdomain 403s without an API key. Every provider gets the identical `eth_getBlockByNumber` probe every 60 seconds from us-east, eu-west and Singapore, with stale-head detection against the cross-provider tip.\n","faq":[{"q":"What is the fastest free Sonic RPC right now?","a":"PublicNode currently leads at 90 ms (`eth_getBlockByNumber` p50 over the last 24h), measured against 5 no-key providers probed every 60 seconds from us-east, eu-west and Singapore. The leaderboard re-sorts continuously against fresh Prometheus samples, so the answer on this page is the answer right now, not a quarterly snapshot. Use the region tabs to see the leader from the origin closest to your deployment."},{"q":"Which Sonic RPCs work without an API key?","a":"The 5 providers on this page: PublicNode, dRPC, Tenderly, Lava, Sonic Labs. Every (provider, chain) pair was live-verified no-key before inclusion, and anything that key-gates, region-blocks or rate-limits below our 15-second cadence is excluded rather than listed with an asterisk."},{"q":"Does the fastest Sonic RPC change by region?","a":"Frequently. The headline number averages three probe origins (us-east, eu-west, Singapore), but per-region leaders regularly diverge, a gateway that wins from Virginia can lose from Singapore by multiples. The region tabs at the top of the page re-scope every number on the page to a single origin; pick the one closest to where your requests actually originate."},{"q":"How is Sonic RPC latency measured here?","a":"One identical JSON-RPC POST (`eth_getBlockByNumber`) every 60 seconds against each provider from each of 3 regions, with the same plain HTTP client. Wall-clock round-trip is recorded at millisecond precision; p50/p90/p99 are computed via Prometheus `quantile_over_time` over 24 hours. Responses are classified (`ok` / `http_err` / `jsonrpc_err` / `stale` / `timeout`) so an endpoint stuck on an old head or returning errors behind HTTP 200 is never ranked as fastest. The harness is open source and every number on this page is a public Prometheus query you can run yourself."},{"q":"Why does Lava appear on Sonic but on no other long-tail chain?","a":"Lava publishes `*.lava.build` subdomains for many chains, but nearly all of them return 403 without an API key. `sonic.lava.build` is the exception: it passed our no-key verification (eth_chainId match plus sustained probing) and has held the 15-second cadence since. Every (provider, chain) pair in this cluster is admitted on measured behavior, not on a provider's published chain list."}],"subtitle":"HTTP round-trip latency for eth_getBlockByNumber against every free, no-key public Sonic RPC endpoint, audited every 60 seconds from 3 regions.","category":"RPCs","status":"live","editorialStatus":"live","metric":"RPC latency","unit":"ms","higherIsBetter":false,"abstract":"Per-chain member of the RPC latency cluster. We measure the round-trip latency of a single, identical RPC call (`eth_getBlockByNumber`) against every no-key public Sonic endpoint that sustains continuous probing, 5 providers, every 60 seconds, from us-east, eu-west and Singapore. The harness also classifies every response (ok / http_err / jsonrpc_err / stale / timeout) and audits archive depth every 5 minutes, so the leaderboard rewards sustained, honest availability rather than a fast error message. The cross-chain view lives on the parent rpc-capabilities benchmark; this page is the Sonic-scoped answer with per-region breakdowns as a first-class dimension.\n","methodology":["Cadence: every 60 seconds per provider, from each of 3 probe regions (us-east Virginia, eu-west Amsterdam, sgp Singapore). Headline p50/p90/p99 aggregate across all 3 regions via Prometheus `avg(quantile_over_time(...))`; per-region breakdowns are first-class on this page via the region tabs.","Payload: `{\"jsonrpc\":\"2.0\",\"id\":<rotating>,\"method\":\"eth_getBlockByNumber\",\"params\":[\"latest\",false]}`. Plain HTTP POST, identical for every endpoint, no API key in any request. Non-cacheable by design: the latest-header fetch with a rotating id defeats edge caches that answer eth_blockNumber without touching a node.","Latency: client-side round-trip delta in milliseconds, exposed as both a gauge and a histogram (buckets 50 ms → 10 s), so percentiles are computed via Prometheus `quantile_over_time` over the last 24 hours.","Call-result classification: `ok` (HTTP 200 + non-empty result), `http_err`, `jsonrpc_err` (HTTP 200 carrying an error body), `stale` (more than 20 blocks behind the cross-provider tip), `timeout`. Latency without reliability is a misleading ranking signal.","Archive depth: every 5 minutes we issue `eth_getBalance` at (head − depth) for depths from Geth's default pruned cap up to 5M blocks, exposing which free endpoints actually serve historical state.","This page is part of the per-chain RPC cluster derived from the cross-chain [rpc-capabilities](https://openchainbench.com/benchmarks/rpc-capabilities) benchmark; the identical harness, methodology and exclusion rules apply on every chain.","Chain scope: every query on this page is pinned to chain=\"sonic\". Provider coverage: 5 no-key endpoints (PublicNode, dRPC, Tenderly, Lava, Sonic Labs). Exclusions follow the cluster-wide rules documented on the parent benchmark."],"findings":["PublicNode currently leads free Sonic RPC at 90 ms (`eth_getBlockByNumber` p50, 24h) across 5 measured providers.","dRPC (173 ms) illustrates the long-tail pattern: it wins 10 of the 12 chains in this expansion on the 3-region average, not by posting the fastest single-region peak but by answering every origin from a nearby anycast edge.","Tenderly tells the opposite story: roughly 330 ms in every region, the flat signature of single-origin routing. The same gateway is competitive on Ethereum and Base, so this is a per-chain routing decision, not a capacity problem.","Lava makes Sonic a curiosity: `sonic.lava.build` is the only Lava subdomain that answers no-key outside eth1/arb1, so this page is the cluster's only long-tail read on the Lava mesh."],"source":"https://github.com/ChainBench/OpenChainBench/tree/main/harnesses/rpc-capabilities","dimensions":{"region":[{"value":"all","label":"All regions"},{"value":"us-east","label":"US-East"},{"value":"eu-west","label":"EU-West"},{"value":"sgp","label":"Singapore"}]},"results":[{"name":"PublicNode","slug":"publicnode","tag":"Allnodes-operated, 70+ chains, archive on most","ms":{"p50":90,"p90":248.333,"p99":326.667,"mean":117.11},"successRate":100,"sampleSize":4320.75,"query":"avg(ocb:rpc_latency_milliseconds:p50_24h{provider=\"publicnode\", chain=\"sonic\"})","formula":"50th percentile over 24h of client-side round-trip latency (ms) for a single `eth_getBlockByNumber` POST sent every 60s from 3 regions (us-east + eu-west + sgp) to PublicNode's no-key Sonic endpoint.","availability":"live","meta":{"observedAt":1784679902310}},{"name":"dRPC","slug":"drpc","tag":"Decentralized RPC mesh, consensus-checked","ms":{"p50":173,"p90":187.333,"p99":259.333,"mean":178.102},"successRate":85.0891,"sampleSize":4319.75,"query":"avg(ocb:rpc_latency_milliseconds:p50_24h{provider=\"drpc\", chain=\"sonic\"})","formula":"50th percentile over 24h of client-side round-trip latency (ms) for a single `eth_getBlockByNumber` POST sent every 60s from 3 regions (us-east + eu-west + sgp) to dRPC's no-key Sonic endpoint.","availability":"live","meta":{"observedAt":1784679902310}},{"name":"Tenderly","slug":"tenderly","tag":"Multi-chain public gateway, no key","ms":{"p50":330,"p90":342.033,"p99":373,"mean":332.316},"successRate":100,"sampleSize":4320.75,"query":"avg(ocb:rpc_latency_milliseconds:p50_24h{provider=\"tenderly\", chain=\"sonic\"})","formula":"50th percentile over 24h of client-side round-trip latency (ms) for a single `eth_getBlockByNumber` POST sent every 60s from 3 regions (us-east + eu-west + sgp) to Tenderly's no-key Sonic endpoint.","availability":"live","meta":{"observedAt":1784679902310}},{"name":"Lava","slug":"lava","tag":"Decentralized permissionless RPC mesh (sonic.lava.build, open no-key)","ms":{"p50":416.667,"p90":1405,"p99":2963.33,"mean":632.647},"successRate":99.5138,"sampleSize":4319.75,"query":"avg(ocb:rpc_latency_milliseconds:p50_24h{provider=\"lava\", chain=\"sonic\"})","formula":"50th percentile over 24h of client-side round-trip latency (ms) for a single `eth_getBlockByNumber` POST sent every 60s from 3 regions (us-east + eu-west + sgp) to Lava's no-key Sonic endpoint.","availability":"live","meta":{"observedAt":1784679902310}},{"name":"Sonic Labs","slug":"sonic-official","tag":"Sonic Labs public RPC, Sonic mainnet 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"p50":398}]},"dataAsOf":1784679902310},{"slug":"gnosis-rpc","number":"056","title":"Fastest free Gnosis RPC, live no-key endpoint latency","seoTitle":"Fastest free Gnosis RPC 2026","seoDescription":"PublicNode leads free Gnosis RPC at 94 ms (eth_getBlockByNumber p50, 24h). 4 no-key providers measured every 60s from 3 regions.","seoIntro":"Gnosis is the cluster's clearest proof that official does not mean fast: the chain-official `rpc.gnosischain.com` is the slowest endpoint we measure on the chain, around 433 ms p50 on the 3-region average, while several third-party gateways beat it. 4 no-key providers, the same `eth_getBlockByNumber` call every 60 seconds, three regions.\n","faq":[{"q":"What is the fastest free Gnosis RPC right now?","a":"PublicNode currently leads at 94 ms (`eth_getBlockByNumber` p50 over the last 24h), measured against 4 no-key providers probed every 60 seconds from us-east, eu-west and Singapore. The leaderboard re-sorts continuously against fresh Prometheus samples, so the answer on this page is the answer right now, not a quarterly snapshot. Use the region tabs to see the leader from the origin closest to your deployment."},{"q":"Which Gnosis RPCs work without an API key?","a":"The 4 providers on this page: PublicNode, dRPC, Tenderly, Gnosis. Nodies was delisted in July 2026 when its Gnosis endpoint moved behind a paid plan. Every (provider, chain) pair was live-verified no-key before inclusion, and anything that key-gates, region-blocks or rate-limits below our 15-second cadence is excluded rather than listed with an asterisk."},{"q":"Does the fastest Gnosis RPC change by region?","a":"Frequently. The headline number averages three probe origins (us-east, eu-west, Singapore), but per-region leaders regularly diverge, a gateway that wins from Virginia can lose from Singapore by multiples. The region tabs at the top of the page re-scope every number on the page to a single origin; pick the one closest to where your requests actually originate."},{"q":"How is Gnosis RPC latency measured here?","a":"One identical JSON-RPC POST (`eth_getBlockByNumber`) every 60 seconds against each provider from each of 3 regions, with the same plain HTTP client. Wall-clock round-trip is recorded at millisecond precision; p50/p90/p99 are computed via Prometheus `quantile_over_time` over 24 hours. Responses are classified (`ok` / `http_err` / `jsonrpc_err` / `stale` / `timeout`) so an endpoint stuck on an old head or returning errors behind HTTP 200 is never ranked as fastest. The harness is open source and every number on this page is a public Prometheus query you can run yourself."},{"q":"Should I use rpc.gnosischain.com as my Gnosis RPC?","a":"Only as a fallback. It is the slowest endpoint we measure on Gnosis, roughly 433 ms median across three regions, several times the gateway tier, though its reliability and head freshness are fine. The measured leaders above serve the same chain with a fraction of the round trip; keep the official endpoint in the rotation for redundancy rather than as primary."}],"subtitle":"HTTP round-trip latency for eth_getBlockByNumber against every free, no-key public Gnosis RPC endpoint, audited every 60 seconds from 3 regions.","category":"RPCs","status":"live","editorialStatus":"live","metric":"RPC latency","unit":"ms","higherIsBetter":false,"abstract":"Per-chain member of the RPC latency cluster. We measure the round-trip latency of a single, identical RPC call (`eth_getBlockByNumber`) against every no-key public Gnosis endpoint that sustains continuous probing, 4 providers, every 60 seconds, from us-east, eu-west and Singapore. The harness also classifies every response (ok / http_err / jsonrpc_err / stale / timeout) and audits archive depth every 5 minutes, so the leaderboard rewards sustained, honest availability rather than a fast error message. The cross-chain view lives on the parent rpc-capabilities benchmark; this page is the Gnosis-scoped answer with per-region breakdowns as a first-class dimension.\n","methodology":["Cadence: every 60 seconds per provider, from each of 3 probe regions (us-east Virginia, eu-west Amsterdam, sgp Singapore). Headline p50/p90/p99 aggregate across all 3 regions via Prometheus `avg(quantile_over_time(...))`; per-region breakdowns are first-class on this page via the region tabs.","Payload: `{\"jsonrpc\":\"2.0\",\"id\":<rotating>,\"method\":\"eth_getBlockByNumber\",\"params\":[\"latest\",false]}`. Plain HTTP POST, identical for every endpoint, no API key in any request. Non-cacheable by design: the latest-header fetch with a rotating id defeats edge caches that answer eth_blockNumber without touching a node.","Latency: client-side round-trip delta in milliseconds, exposed as both a gauge and a histogram (buckets 50 ms → 10 s), so percentiles are computed via Prometheus `quantile_over_time` over the last 24 hours.","Call-result classification: `ok` (HTTP 200 + non-empty result), `http_err`, `jsonrpc_err` (HTTP 200 carrying an error body), `stale` (more than 20 blocks behind the cross-provider tip), `timeout`. Latency without reliability is a misleading ranking signal.","Archive depth: every 5 minutes we issue `eth_getBalance` at (head − depth) for depths from Geth's default pruned cap up to 5M blocks, exposing which free endpoints actually serve historical state.","This page is part of the per-chain RPC cluster derived from the cross-chain [rpc-capabilities](https://openchainbench.com/benchmarks/rpc-capabilities) benchmark; the identical harness, methodology and exclusion rules apply on every chain.","Chain scope: every query on this page is pinned to chain=\"gnosis\". Provider coverage: 4 no-key endpoints (PublicNode, dRPC, Tenderly, Gnosis). Nodies was delisted 2026-07 when its Gnosis endpoint moved behind a paid plan. Exclusions follow the cluster-wide rules documented on the parent benchmark."],"findings":["PublicNode currently leads free Gnosis RPC at 94 ms (`eth_getBlockByNumber` p50, 24h) across 4 measured providers.","The chain-official endpoint anchors the wrong end of the board: ~433 ms p50 with a similar profile from every region, slower than every gateway on this page. It is honest about its blocks; it is just slow.","dRPC (168 ms) shows its usual anycast consistency here, part of the pattern that has it leading 10 of the 12 long-tail chains on the 3-region average."],"source":"https://github.com/ChainBench/OpenChainBench/tree/main/harnesses/rpc-capabilities","dimensions":{"region":[{"value":"all","label":"All regions"},{"value":"us-east","label":"US-East"},{"value":"eu-west","label":"EU-West"},{"value":"sgp","label":"Singapore"}]},"results":[{"name":"PublicNode","slug":"publicnode","tag":"Allnodes-operated, 70+ chains, archive on most","ms":{"p50":94,"p90":254.667,"p99":375.333,"mean":132.499},"successRate":100,"sampleSize":4318.75,"query":"avg(ocb:rpc_latency_milliseconds:p50_24h{provider=\"publicnode\", chain=\"gnosis\"})","formula":"50th percentile over 24h of client-side round-trip latency (ms) for a single `eth_getBlockByNumber` POST sent every 60s from 3 regions (us-east + eu-west + sgp) to PublicNode's no-key Gnosis endpoint.","availability":"live","meta":{"observedAt":1784679870941}},{"name":"dRPC","slug":"drpc","tag":"Decentralized RPC mesh, consensus-checked","ms":{"p50":168.333,"p90":185,"p99":272.347,"mean":174.813},"successRate":84.3981,"sampleSize":4320.75,"query":"avg(ocb:rpc_latency_milliseconds:p50_24h{provider=\"drpc\", chain=\"gnosis\"})","formula":"50th percentile over 24h of client-side round-trip latency (ms) for a single `eth_getBlockByNumber` POST sent every 60s from 3 regions (us-east + eu-west + sgp) to dRPC's no-key Gnosis endpoint.","availability":"live","meta":{"observedAt":1784679870941}},{"name":"Tenderly","slug":"tenderly","tag":"Multi-chain public gateway, no key","ms":{"p50":329.333,"p90":342.333,"p99":419,"mean":333.614},"successRate":100,"sampleSize":4317.75,"query":"avg(ocb:rpc_latency_milliseconds:p50_24h{provider=\"tenderly\", chain=\"gnosis\"})","formula":"50th percentile over 24h of client-side round-trip latency (ms) for a single `eth_getBlockByNumber` POST sent every 60s from 3 regions (us-east + eu-west + sgp) to Tenderly's no-key Gnosis endpoint.","availability":"live","meta":{"observedAt":1784679870941}},{"name":"Gnosis","slug":"gnosis-official","tag":"Gnosis chain-official RPC (rpc.gnosischain.com)","ms":{"p50":347.333,"p90":790.8,"p99":1359.67,"mean":442.628},"successRate":100,"sampleSize":4319.75,"query":"avg(ocb:rpc_latency_milliseconds:p50_24h{provider=\"gnosis-official\", chain=\"gnosis\"})","formula":"50th percentile over 24h of client-side round-trip latency (ms) for a single `eth_getBlockByNumber` POST sent every 60s from 3 regions (us-east + eu-west + sgp) to Gnosis's no-key Gnosis 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free Celo RPC, live no-key endpoint latency","seoTitle":"Fastest free Celo RPC 2026","seoDescription":"PublicNode leads free Celo RPC at 95 ms (eth_getBlockByNumber p50, 24h). 4 no-key providers measured every 60s from 3 regions.","seoIntro":"Celo brings 4 no-key providers anchored by Forno (`forno.celo.org`), cLabs' public endpoint that predates most of the gateway industry. Since Celo's migration to an Ethereum L2 the RPC surface is standard EVM, so the multi-chain gateways (PublicNode, dRPC, Tenderly) compete directly with the house endpoint on the identical `eth_getBlockByNumber` probe every 60 seconds from three regions.\n","faq":[{"q":"What is the fastest free Celo RPC right now?","a":"PublicNode currently leads at 95 ms (`eth_getBlockByNumber` p50 over the last 24h), measured against 4 no-key providers probed every 60 seconds from us-east, eu-west and Singapore. The leaderboard re-sorts continuously against fresh Prometheus samples, so the answer on this page is the answer right now, not a quarterly snapshot. Use the region tabs to see the leader from the origin closest to your deployment."},{"q":"Which Celo RPCs work without an API key?","a":"The 4 providers on this page: PublicNode, dRPC, Tenderly, Celo (Forno). Every (provider, chain) pair was live-verified no-key before inclusion, and anything that key-gates, region-blocks or rate-limits below our 15-second cadence is excluded rather than listed with an asterisk."},{"q":"Does the fastest Celo RPC change by region?","a":"Frequently. The headline number averages three probe origins (us-east, eu-west, Singapore), but per-region leaders regularly diverge, a gateway that wins from Virginia can lose from Singapore by multiples. The region tabs at the top of the page re-scope every number on the page to a single origin; pick the one closest to where your requests actually originate."},{"q":"How is Celo RPC latency measured here?","a":"One identical JSON-RPC POST (`eth_getBlockByNumber`) every 60 seconds against each provider from each of 3 regions, with the same plain HTTP client. Wall-clock round-trip is recorded at millisecond precision; p50/p90/p99 are computed via Prometheus `quantile_over_time` over 24 hours. Responses are classified (`ok` / `http_err` / `jsonrpc_err` / `stale` / `timeout`) so an endpoint stuck on an old head or returning errors behind HTTP 200 is never ranked as fastest. The harness is open source and every number on this page is a public Prometheus query you can run yourself."},{"q":"Is Forno still the right default RPC for Celo?","a":"Forno is stable and honest, but it is a single origin, so at least two of our three probe regions always pay cross-ocean latency to reach it. The current leader above (PublicNode at 95 ms) reflects the 3-region average; if your traffic is single-region, open that region's tab, Forno's ranking moves markedly by origin."}],"subtitle":"HTTP round-trip latency for eth_getBlockByNumber against every free, no-key public Celo RPC endpoint, audited every 60 seconds from 3 regions.","category":"RPCs","status":"live","editorialStatus":"live","metric":"RPC latency","unit":"ms","higherIsBetter":false,"abstract":"Per-chain member of the RPC latency cluster. We measure the round-trip latency of a single, identical RPC call (`eth_getBlockByNumber`) against every no-key public Celo endpoint that sustains continuous probing, 4 providers, every 60 seconds, from us-east, eu-west and Singapore. The harness also classifies every response (ok / http_err / jsonrpc_err / stale / timeout) and audits archive depth every 5 minutes, so the leaderboard rewards sustained, honest availability rather than a fast error message. The cross-chain view lives on the parent rpc-capabilities benchmark; this page is the Celo-scoped answer with per-region breakdowns as a first-class dimension.\n","methodology":["Cadence: every 60 seconds per provider, from each of 3 probe regions (us-east Virginia, eu-west Amsterdam, sgp Singapore). Headline p50/p90/p99 aggregate across all 3 regions via Prometheus `avg(quantile_over_time(...))`; per-region breakdowns are first-class on this page via the region tabs.","Payload: `{\"jsonrpc\":\"2.0\",\"id\":<rotating>,\"method\":\"eth_getBlockByNumber\",\"params\":[\"latest\",false]}`. Plain HTTP POST, identical for every endpoint, no API key in any request. Non-cacheable by design: the latest-header fetch with a rotating id defeats edge caches that answer eth_blockNumber without touching a node.","Latency: client-side round-trip delta in milliseconds, exposed as both a gauge and a histogram (buckets 50 ms → 10 s), so percentiles are computed via Prometheus `quantile_over_time` over the last 24 hours.","Call-result classification: `ok` (HTTP 200 + non-empty result), `http_err`, `jsonrpc_err` (HTTP 200 carrying an error body), `stale` (more than 20 blocks behind the cross-provider tip), `timeout`. Latency without reliability is a misleading ranking signal.","Archive depth: every 5 minutes we issue `eth_getBalance` at (head − depth) for depths from Geth's default pruned cap up to 5M blocks, exposing which free endpoints actually serve historical state.","This page is part of the per-chain RPC cluster derived from the cross-chain [rpc-capabilities](https://openchainbench.com/benchmarks/rpc-capabilities) benchmark; the identical harness, methodology and exclusion rules apply on every chain.","Chain scope: every query on this page is pinned to chain=\"celo\". Provider coverage: 4 no-key endpoints (PublicNode, dRPC, Tenderly, Celo (Forno)). Exclusions follow the cluster-wide rules documented on the parent benchmark."],"findings":["PublicNode currently leads free Celo RPC at 95 ms (`eth_getBlockByNumber` p50, 24h) across 4 measured providers.","dRPC (282 ms) extends its long-tail run here, 10 of the 12 expansion chains fall to it on the 3-region average, a consistency win built on anycast rather than any single-region record.","Forno remains a serviceable default years after launch, but it is one origin: at least two of our three probe regions always see it with an ocean in the path, which the region tabs make visible.","Tenderly shows the same long-tail collapse measured across this expansion: ~330 ms flat in all three regions, single-origin routing behind a gateway that is genuinely fast on the majors."],"source":"https://github.com/ChainBench/OpenChainBench/tree/main/harnesses/rpc-capabilities","dimensions":{"region":[{"value":"all","label":"All regions"},{"value":"us-east","label":"US-East"},{"value":"eu-west","label":"EU-West"},{"value":"sgp","label":"Singapore"}]},"results":[{"name":"PublicNode","slug":"publicnode","tag":"Allnodes-operated, 70+ chains, archive on most","ms":{"p50":95,"p90":261.7,"p99":360,"mean":138.716},"successRate":100,"sampleSize":4317.75,"query":"avg(ocb:rpc_latency_milliseconds:p50_24h{provider=\"publicnode\", chain=\"celo\"})","formula":"50th percentile over 24h of client-side round-trip latency (ms) for a single `eth_getBlockByNumber` POST sent every 60s from 3 regions (us-east + eu-west + sgp) to PublicNode's no-key Celo endpoint.","availability":"live","meta":{"observedAt":1784679867304}},{"name":"dRPC","slug":"drpc","tag":"Decentralized RPC mesh, consensus-checked","ms":{"p50":282.333,"p90":512.7,"p99":1033,"mean":331.949},"successRate":78.49040000000001,"sampleSize":4319.75,"query":"avg(ocb:rpc_latency_milliseconds:p50_24h{provider=\"drpc\", chain=\"celo\"})","formula":"50th percentile over 24h of client-side round-trip latency (ms) for a single `eth_getBlockByNumber` POST sent every 60s from 3 regions (us-east + eu-west + sgp) to dRPC's no-key Celo endpoint.","availability":"live","meta":{"observedAt":1784679867304}},{"name":"Tenderly","slug":"tenderly","tag":"Multi-chain public gateway, no key","ms":{"p50":330,"p90":340.667,"p99":357,"mean":331.285},"successRate":100,"sampleSize":4319.75,"query":"avg(ocb:rpc_latency_milliseconds:p50_24h{provider=\"tenderly\", chain=\"celo\"})","formula":"50th percentile over 24h of client-side round-trip latency (ms) for a single `eth_getBlockByNumber` POST sent every 60s from 3 regions (us-east + eu-west + sgp) to Tenderly's no-key Celo endpoint.","availability":"live","meta":{"observedAt":1784679867304}},{"name":"Celo (Forno)","slug":"celo-official","tag":"cLabs Forno public RPC, Celo mainnet only","ms":{"p50":204.667,"p90":389,"p99":695.667,"mean":272.007},"successRate":100,"sampleSize":4318.75,"query":"avg(ocb:rpc_latency_milliseconds:p50_24h{provider=\"celo-official\", chain=\"celo\"})","formula":"50th percentile over 24h of client-side round-trip latency (ms) for a single `eth_getBlockByNumber` POST sent every 60s from 3 regions (us-east + eu-west + sgp) to Celo (Forno)'s no-key Celo 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free Moonbeam RPC, live no-key endpoint latency","seoTitle":"Fastest free Moonbeam RPC 2026","seoDescription":"PublicNode leads free Moonbeam RPC at 97 ms (eth_getBlockByNumber p50, 24h). 4 no-key providers measured every 60s from 3 regions.","seoIntro":"Moonbeam, the EVM chain of the Polkadot ecosystem, fields 4 no-key\ndescoped cluster-wide to Ethereum and Arbitrum after its keyless\nper-IP daily budget proved too tight for continuous multi-chain\nprobing; the remaining cohort covers the multi-chain gateways plus\nthe chain-official endpoint. Probes every 60 seconds from three\nregions with the cluster's anti-cache payload.\n","faq":[{"q":"What is the fastest free Moonbeam RPC right now?","a":"PublicNode currently leads at 97 ms (`eth_getBlockByNumber` p50 over the last 24h), measured against 4 no-key providers probed every 60 seconds from us-east, eu-west and Singapore. The leaderboard re-sorts continuously against fresh Prometheus samples, so the answer on this page is the answer right now, not a quarterly snapshot. Use the region tabs to see the leader from the origin closest to your deployment."},{"q":"Which Moonbeam RPCs work without an API key?","a":"Four endpoints sustain continuous keyless probing: PublicNode, dRPC, Tenderly Gateway and the Moonbeam Foundation's official endpoint. 1RPC was descoped cluster-wide to Ethereum and Arbitrum because its keyless per-IP daily budget cannot sustain continuous multi-chain probing. Every listed endpoint was live-verified (eth_chainId match + anti-cache probe) before inclusion."},{"q":"Does the fastest Moonbeam RPC change by region?","a":"Frequently. The headline number averages three probe origins (us-east, eu-west, Singapore), but per-region leaders regularly diverge, a gateway that wins from Virginia can lose from Singapore by multiples. The region tabs at the top of the page re-scope every number on the page to a single origin; pick the one closest to where your requests actually originate."},{"q":"How is Moonbeam RPC latency measured here?","a":"One identical JSON-RPC POST (`eth_getBlockByNumber`) every 60 seconds against each provider from each of 3 regions, with the same plain HTTP client. Wall-clock round-trip is recorded at millisecond precision; p50/p90/p99 are computed via Prometheus `quantile_over_time` over 24 hours. Responses are classified (`ok` / `http_err` / `jsonrpc_err` / `stale` / `timeout`) so an endpoint stuck on an old head or returning errors behind HTTP 200 is never ranked as fastest. The harness is open source and every number on this page is a public Prometheus query you can run yourself."}],"subtitle":"HTTP round-trip latency for eth_getBlockByNumber against every free, no-key public Moonbeam RPC endpoint, audited every 60 seconds from 3 regions.","category":"RPCs","status":"live","editorialStatus":"live","metric":"RPC latency","unit":"ms","higherIsBetter":false,"abstract":"Per-chain member of the RPC latency cluster. We measure the round-trip latency of a single, identical RPC call (`eth_getBlockByNumber`) against every no-key public Moonbeam endpoint that sustains continuous probing, 4 providers, every 60 seconds, from us-east, eu-west and Singapore. The harness also classifies every response (ok / http_err / jsonrpc_err / stale / timeout) and audits archive depth every 5 minutes, so the leaderboard rewards sustained, honest availability rather than a fast error message. The cross-chain view lives on the parent rpc-capabilities benchmark; this page is the Moonbeam-scoped answer with per-region breakdowns as a first-class dimension.\n","methodology":["Cadence: every 60 seconds per provider, from each of 3 probe regions (us-east Virginia, eu-west Amsterdam, sgp Singapore). Headline p50/p90/p99 aggregate across all 3 regions via Prometheus `avg(quantile_over_time(...))`; per-region breakdowns are first-class on this page via the region tabs.","Payload: `{\"jsonrpc\":\"2.0\",\"id\":<rotating>,\"method\":\"eth_getBlockByNumber\",\"params\":[\"latest\",false]}`. Plain HTTP POST, identical for every endpoint, no API key in any request. Non-cacheable by design: the latest-header fetch with a rotating id defeats edge caches that answer eth_blockNumber without touching a node.","Latency: client-side round-trip delta in milliseconds, exposed as both a gauge and a histogram (buckets 50 ms → 10 s), so percentiles are computed via Prometheus `quantile_over_time` over the last 24 hours.","Call-result classification: `ok` (HTTP 200 + non-empty result), `http_err`, `jsonrpc_err` (HTTP 200 carrying an error body), `stale` (more than 20 blocks behind the cross-provider tip), `timeout`. Latency without reliability is a misleading ranking signal.","Archive depth: every 5 minutes we issue `eth_getBalance` at (head − depth) for depths from Geth's default pruned cap up to 5M blocks, exposing which free endpoints actually serve historical state.","This page is part of the per-chain RPC cluster derived from the cross-chain [rpc-capabilities](https://openchainbench.com/benchmarks/rpc-capabilities) benchmark; the identical harness, methodology and exclusion rules apply on every chain."],"findings":["PublicNode currently leads free Moonbeam RPC at 97 ms (`eth_getBlockByNumber` p50, 24h) across 4 measured providers.","dRPC (221 ms) carries its anycast-consistency pattern onto a Polkadot parachain unchanged: same probe, same edge behavior, same 3-region steadiness that wins it 10 of the 12 long-tail chains.","Tenderly posts the expansion's recurring flat ~330 ms in every region on Moonbeam too, single-origin routing rather than the edge network it runs for the major chains."],"source":"https://github.com/ChainBench/OpenChainBench/tree/main/harnesses/rpc-capabilities","dimensions":{"region":[{"value":"all","label":"All regions"},{"value":"us-east","label":"US-East"},{"value":"eu-west","label":"EU-West"},{"value":"sgp","label":"Singapore"}]},"results":[{"name":"PublicNode","slug":"publicnode","tag":"Allnodes-operated, 70+ chains, archive on most","ms":{"p50":97.3333,"p90":314.333,"p99":545.333,"mean":154.31},"successRate":100,"sampleSize":4319.75,"query":"avg(ocb:rpc_latency_milliseconds:p50_24h{provider=\"publicnode\", chain=\"moonbeam\"})","formula":"50th percentile over 24h of client-side round-trip latency (ms) for a single `eth_getBlockByNumber` POST sent every 60s from 3 regions (us-east + eu-west + sgp) to PublicNode's no-key Moonbeam endpoint.","availability":"live","meta":{"observedAt":1784679881177}},{"name":"dRPC","slug":"drpc","tag":"Decentralized RPC mesh, consensus-checked","ms":{"p50":221.333,"p90":284.667,"p99":495.337,"mean":217.409},"successRate":76.6613,"sampleSize":4319.75,"query":"avg(ocb:rpc_latency_milliseconds:p50_24h{provider=\"drpc\", chain=\"moonbeam\"})","formula":"50th percentile over 24h of client-side round-trip latency (ms) for a single `eth_getBlockByNumber` POST sent every 60s from 3 regions (us-east + eu-west + sgp) to dRPC's no-key Moonbeam endpoint.","availability":"live","meta":{"observedAt":1784679881177}},{"name":"Tenderly","slug":"tenderly","tag":"Multi-chain public gateway, no key","ms":{"p50":330.333,"p90":343,"p99":368.333,"mean":332.166},"successRate":100,"sampleSize":4318.75,"query":"avg(ocb:rpc_latency_milliseconds:p50_24h{provider=\"tenderly\", chain=\"moonbeam\"})","formula":"50th percentile over 24h of client-side round-trip latency (ms) for a single `eth_getBlockByNumber` POST sent every 60s from 3 regions (us-east + eu-west + sgp) to Tenderly's no-key Moonbeam endpoint.","availability":"live","meta":{"observedAt":1784679881177}},{"name":"Moonbeam","slug":"moonbeam-official","tag":"Moonbeam Foundation public RPC, Moonbeam only","ms":{"p50":183.667,"p90":202.667,"p99":518.667,"mean":203.223},"successRate":100,"sampleSize":4320.75,"query":"avg(ocb:rpc_latency_milliseconds:p50_24h{provider=\"moonbeam-official\", chain=\"moonbeam\"})","formula":"50th percentile over 24h of client-side round-trip latency (ms) for a single `eth_getBlockByNumber` POST sent every 60s from 3 regions (us-east + eu-west + sgp) to Moonbeam's no-key Moonbeam 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free Unichain RPC, live no-key endpoint latency","seoTitle":"Fastest free Unichain RPC 2026","seoDescription":"PublicNode leads free Unichain RPC at 91 ms (eth_getBlockByNumber p50, 24h). 4 no-key providers measured every 60s from 3 regions.","seoIntro":"Unichain, Uniswap Labs' OP Stack rollup, fields 4 no-key providers including the house `mainnet.unichain.org`. For a chain this young the gateway coverage is unusually complete, PublicNode, dRPC and Tenderly all sustain no-key probing at our 15-second cadence, so the official endpoint faces a full gateway tier from day one. Three regions, identical probes, stale-head detection.\n","faq":[{"q":"What is the fastest free Unichain RPC right now?","a":"PublicNode currently leads at 91 ms (`eth_getBlockByNumber` p50 over the last 24h), measured against 4 no-key providers probed every 60 seconds from us-east, eu-west and Singapore. The leaderboard re-sorts continuously against fresh Prometheus samples, so the answer on this page is the answer right now, not a quarterly snapshot. Use the region tabs to see the leader from the origin closest to your deployment."},{"q":"Which Unichain RPCs work without an API key?","a":"The 4 providers on this page: PublicNode, dRPC, Tenderly, Unichain. Every (provider, chain) pair was live-verified no-key before inclusion, and anything that key-gates, region-blocks or rate-limits below our 15-second cadence is excluded rather than listed with an asterisk."},{"q":"Does the fastest Unichain RPC change by region?","a":"Frequently. The headline number averages three probe origins (us-east, eu-west, Singapore), but per-region leaders regularly diverge, a gateway that wins from Virginia can lose from Singapore by multiples. The region tabs at the top of the page re-scope every number on the page to a single origin; pick the one closest to where your requests actually originate."},{"q":"How is Unichain RPC latency measured here?","a":"One identical JSON-RPC POST (`eth_getBlockByNumber`) every 60 seconds against each provider from each of 3 regions, with the same plain HTTP client. Wall-clock round-trip is recorded at millisecond precision; p50/p90/p99 are computed via Prometheus `quantile_over_time` over 24 hours. Responses are classified (`ok` / `http_err` / `jsonrpc_err` / `stale` / `timeout`) so an endpoint stuck on an old head or returning errors behind HTTP 200 is never ranked as fastest. The harness is open source and every number on this page is a public Prometheus query you can run yourself."},{"q":"Should I use mainnet.unichain.org or a gateway for Unichain?","a":"Check the region tab nearest your deployment. Chain-official endpoints are typically a single origin, so they can only be close to one of our three probes, while anycast gateways answer everywhere. On the 3-region average the current leader is PublicNode at 91 ms; a primary-plus-fallback pair from the top of this page is the resilient default for a chain this young."}],"subtitle":"HTTP round-trip latency for eth_getBlockByNumber against every free, no-key public Unichain RPC endpoint, audited every 60 seconds from 3 regions.","category":"RPCs","status":"live","editorialStatus":"live","metric":"RPC latency","unit":"ms","higherIsBetter":false,"abstract":"Per-chain member of the RPC latency cluster. We measure the round-trip latency of a single, identical RPC call (`eth_getBlockByNumber`) against every no-key public Unichain endpoint that sustains continuous probing, 4 providers, every 60 seconds, from us-east, eu-west and Singapore. The harness also classifies every response (ok / http_err / jsonrpc_err / stale / timeout) and audits archive depth every 5 minutes, so the leaderboard rewards sustained, honest availability rather than a fast error message. The cross-chain view lives on the parent rpc-capabilities benchmark; this page is the Unichain-scoped answer with per-region breakdowns as a first-class dimension.\n","methodology":["Cadence: every 60 seconds per provider, from each of 3 probe regions (us-east Virginia, eu-west Amsterdam, sgp Singapore). Headline p50/p90/p99 aggregate across all 3 regions via Prometheus `avg(quantile_over_time(...))`; per-region breakdowns are first-class on this page via the region tabs.","Payload: `{\"jsonrpc\":\"2.0\",\"id\":<rotating>,\"method\":\"eth_getBlockByNumber\",\"params\":[\"latest\",false]}`. Plain HTTP POST, identical for every endpoint, no API key in any request. Non-cacheable by design: the latest-header fetch with a rotating id defeats edge caches that answer eth_blockNumber without touching a node.","Latency: client-side round-trip delta in milliseconds, exposed as both a gauge and a histogram (buckets 50 ms → 10 s), so percentiles are computed via Prometheus `quantile_over_time` over the last 24 hours.","Call-result classification: `ok` (HTTP 200 + non-empty result), `http_err`, `jsonrpc_err` (HTTP 200 carrying an error body), `stale` (more than 20 blocks behind the cross-provider tip), `timeout`. Latency without reliability is a misleading ranking signal.","Archive depth: every 5 minutes we issue `eth_getBalance` at (head − depth) for depths from Geth's default pruned cap up to 5M blocks, exposing which free endpoints actually serve historical state.","This page is part of the per-chain RPC cluster derived from the cross-chain [rpc-capabilities](https://openchainbench.com/benchmarks/rpc-capabilities) benchmark; the identical harness, methodology and exclusion rules apply on every chain.","Chain scope: every query on this page is pinned to chain=\"unichain\". Provider coverage: 4 no-key endpoints (PublicNode, dRPC, Tenderly, Unichain). Exclusions follow the cluster-wide rules documented on the parent benchmark."],"findings":["PublicNode currently leads free Unichain RPC at 91 ms (`eth_getBlockByNumber` p50, 24h) across 4 measured providers.","dRPC (165 ms) treats Unichain like every other chain in the expansion, and that is the point: 10 of 12 long-tail wins on the 3-region average come from routing every probe to a nearby edge, chain age irrelevant.","The official sequencer-adjacent endpoint has the locational advantage on paper; the region tabs show whether it holds against gateways that terminate at the probe's nearest edge instead of one home region.","Tenderly repeats its long-tail signature here, roughly 330 ms from all three origins at once, while remaining competitive on the majors, the clearest sign its public gateway routes small chains through a single origin."],"source":"https://github.com/ChainBench/OpenChainBench/tree/main/harnesses/rpc-capabilities","dimensions":{"region":[{"value":"all","label":"All regions"},{"value":"us-east","label":"US-East"},{"value":"eu-west","label":"EU-West"},{"value":"sgp","label":"Singapore"}]},"results":[{"name":"PublicNode","slug":"publicnode","tag":"Allnodes-operated, 70+ chains, archive on most","ms":{"p50":91.3333,"p90":260.333,"p99":295.667,"mean":131.235},"successRate":100,"sampleSize":4319.75,"query":"avg(ocb:rpc_latency_milliseconds:p50_24h{provider=\"publicnode\", chain=\"unichain\"})","formula":"50th percentile over 24h of client-side round-trip latency (ms) for a single `eth_getBlockByNumber` POST sent every 60s from 3 regions (us-east + eu-west + sgp) to PublicNode's no-key Unichain endpoint.","availability":"live","meta":{"observedAt":1784679903435}},{"name":"dRPC","slug":"drpc","tag":"Decentralized RPC mesh, consensus-checked","ms":{"p50":165.333,"p90":178.333,"p99":250.333,"mean":169.461},"successRate":85.7176,"sampleSize":4320.75,"query":"avg(ocb:rpc_latency_milliseconds:p50_24h{provider=\"drpc\", chain=\"unichain\"})","formula":"50th percentile over 24h of client-side round-trip latency (ms) for a single `eth_getBlockByNumber` POST sent every 60s from 3 regions (us-east + eu-west + sgp) to dRPC's no-key Unichain endpoint.","availability":"live","meta":{"observedAt":1784679903435}},{"name":"Tenderly","slug":"tenderly","tag":"Multi-chain public gateway, no key","ms":{"p50":329.333,"p90":340,"p99":356,"mean":330.625},"successRate":100,"sampleSize":4318.75,"query":"avg(ocb:rpc_latency_milliseconds:p50_24h{provider=\"tenderly\", chain=\"unichain\"})","formula":"50th percentile over 24h of client-side round-trip latency (ms) for a single `eth_getBlockByNumber` POST sent every 60s from 3 regions (us-east + eu-west + sgp) to Tenderly's no-key Unichain endpoint.","availability":"live","meta":{"observedAt":1784679903435}},{"name":"Unichain","slug":"unichain-official","tag":"Uniswap Labs public RPC, Unichain mainnet only","ms":{"p50":248.333,"p90":264,"p99":281,"mean":250.197},"successRate":100,"sampleSize":4319.75,"query":"avg(ocb:rpc_latency_milliseconds:p50_24h{provider=\"unichain-official\", chain=\"unichain\"})","formula":"50th percentile over 24h of client-side round-trip latency (ms) for a single `eth_getBlockByNumber` POST sent every 60s from 3 regions (us-east + eu-west + sgp) to Unichain's no-key Unichain 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free Blast RPC, live no-key endpoint latency","seoTitle":"Fastest free Blast RPC 2026","seoDescription":"Blast leads free Blast RPC at 2 ms (eth_getBlockByNumber p50, 24h). 4 no-key providers measured every 60s from 3 regions.","seoIntro":"Blast is the expansion's measurement cautionary tale. The chain-official `rpc.blast.io` answers in roughly 2 ms from all three probe regions at once, which no single origin can do: Virginia, Amsterdam and Singapore are separated by 80+ ms round trips at the speed of light. The endpoint terminates at an edge network. Our stale-head detection confirms the blocks it serves are fresh, but a sub-5 ms number measures the edge handshake, not the chain. 4 no-key providers, identical probes, three regions.\n","faq":[{"q":"What is the fastest free Blast RPC right now?","a":"Blast currently leads at 2 ms (`eth_getBlockByNumber` p50 over the last 24h), measured against 4 no-key providers probed every 60 seconds from us-east, eu-west and Singapore. The leaderboard re-sorts continuously against fresh Prometheus samples, so the answer on this page is the answer right now, not a quarterly snapshot. Use the region tabs to see the leader from the origin closest to your deployment."},{"q":"Which Blast RPCs work without an API key?","a":"The 4 providers on this page: PublicNode, dRPC, Tenderly, Blast. Every (provider, chain) pair was live-verified no-key before inclusion, and anything that key-gates, region-blocks or rate-limits below our 15-second cadence is excluded rather than listed with an asterisk."},{"q":"Does the fastest Blast RPC change by region?","a":"Frequently. The headline number averages three probe origins (us-east, eu-west, Singapore), but per-region leaders regularly diverge, a gateway that wins from Virginia can lose from Singapore by multiples. The region tabs at the top of the page re-scope every number on the page to a single origin; pick the one closest to where your requests actually originate."},{"q":"How is Blast RPC latency measured here?","a":"One identical JSON-RPC POST (`eth_getBlockByNumber`) every 60 seconds against each provider from each of 3 regions, with the same plain HTTP client. Wall-clock round-trip is recorded at millisecond precision; p50/p90/p99 are computed via Prometheus `quantile_over_time` over 24 hours. Responses are classified (`ok` / `http_err` / `jsonrpc_err` / `stale` / `timeout`) so an endpoint stuck on an old head or returning errors behind HTTP 200 is never ranked as fastest. The harness is open source and every number on this page is a public Prometheus query you can run yourself."},{"q":"Is rpc.blast.io really that fast, or is something else going on?","a":"Something else. Two milliseconds simultaneously from Virginia, Amsterdam and Singapore is below the physical round-trip floor for any single origin, so the endpoint is answering at an anycast/CDN edge. Our stale-head detection shows the blocks it returns are current, so it is not serving a stale cache today, but edge termination means the latency figure describes the edge network, not node processing. We keep it ranked with the caveat documented, exactly as we do for Cloudflare's fast-but-permissioned Ethereum endpoint."}],"subtitle":"HTTP round-trip latency for eth_getBlockByNumber against every free, no-key public Blast RPC endpoint, audited every 60 seconds from 3 regions.","category":"RPCs","status":"live","editorialStatus":"live","metric":"RPC latency","unit":"ms","higherIsBetter":false,"abstract":"Per-chain member of the RPC latency cluster. We measure the round-trip latency of a single, identical RPC call (`eth_getBlockByNumber`) against every no-key public Blast endpoint that sustains continuous probing, 4 providers, every 60 seconds, from us-east, eu-west and Singapore. The harness also classifies every response (ok / http_err / jsonrpc_err / stale / timeout) and audits archive depth every 5 minutes, so the leaderboard rewards sustained, honest availability rather than a fast error message. The cross-chain view lives on the parent rpc-capabilities benchmark; this page is the Blast-scoped answer with per-region breakdowns as a first-class dimension.\n","methodology":["Cadence: every 60 seconds per provider, from each of 3 probe regions (us-east Virginia, eu-west Amsterdam, sgp Singapore). Headline p50/p90/p99 aggregate across all 3 regions via Prometheus `avg(quantile_over_time(...))`; per-region breakdowns are first-class on this page via the region tabs.","Payload: `{\"jsonrpc\":\"2.0\",\"id\":<rotating>,\"method\":\"eth_getBlockByNumber\",\"params\":[\"latest\",false]}`. Plain HTTP POST, identical for every endpoint, no API key in any request. Non-cacheable by design: the latest-header fetch with a rotating id defeats edge caches that answer eth_blockNumber without touching a node.","Latency: client-side round-trip delta in milliseconds, exposed as both a gauge and a histogram (buckets 50 ms → 10 s), so percentiles are computed via Prometheus `quantile_over_time` over the last 24 hours.","Call-result classification: `ok` (HTTP 200 + non-empty result), `http_err`, `jsonrpc_err` (HTTP 200 carrying an error body), `stale` (more than 20 blocks behind the cross-provider tip), `timeout`. Latency without reliability is a misleading ranking signal.","Archive depth: every 5 minutes we issue `eth_getBalance` at (head − depth) for depths from Geth's default pruned cap up to 5M blocks, exposing which free endpoints actually serve historical state.","This page is part of the per-chain RPC cluster derived from the cross-chain [rpc-capabilities](https://openchainbench.com/benchmarks/rpc-capabilities) benchmark; the identical harness, methodology and exclusion rules apply on every chain.","Chain scope: every query on this page is pinned to chain=\"blast\". Provider coverage: 4 no-key endpoints (PublicNode, dRPC, Tenderly, Blast). Exclusions follow the cluster-wide rules documented on the parent benchmark."],"findings":["Blast currently leads free Blast RPC at 2 ms (`eth_getBlockByNumber` p50, 24h) across 4 measured providers.","`rpc.blast.io` posts ~2 ms in every region simultaneously, physically impossible for one origin. Read it as an edge-terminated endpoint: heads are fresh per our stale detection, but the latency column measures CDN termination rather than a node round trip, the same class of caution we document for Cloudflare-eth.","dRPC (176 ms) is the honest-infrastructure comparison point: anycast consistency across the three regions with real node round trips behind it, the profile that wins it 10 of the 12 expansion chains.","Tenderly sits at the expansion's familiar flat ~330 ms in all regions on Blast, single-origin routing on a gateway that is genuinely quick on the major chains."],"source":"https://github.com/ChainBench/OpenChainBench/tree/main/harnesses/rpc-capabilities","dimensions":{"region":[{"value":"all","label":"All regions"},{"value":"us-east","label":"US-East"},{"value":"eu-west","label":"EU-West"},{"value":"sgp","label":"Singapore"}]},"results":[{"name":"PublicNode","slug":"publicnode","tag":"Allnodes-operated, 70+ chains, archive on most","ms":{"p50":90.3333,"p90":202.7,"p99":272,"mean":110.212},"successRate":100,"sampleSize":4319.75,"query":"avg(ocb:rpc_latency_milliseconds:p50_24h{provider=\"publicnode\", chain=\"blast\"})","formula":"50th percentile over 24h of client-side round-trip latency (ms) for a single `eth_getBlockByNumber` POST sent every 60s from 3 regions (us-east + eu-west + sgp) to PublicNode's no-key Blast endpoint.","availability":"live","meta":{"observedAt":1784679863288}},{"name":"dRPC","slug":"drpc","tag":"Decentralized RPC mesh, consensus-checked","ms":{"p50":176,"p90":184.333,"p99":222.667,"mean":178.55},"successRate":84.67240000000001,"sampleSize":4319.75,"query":"avg(ocb:rpc_latency_milliseconds:p50_24h{provider=\"drpc\", chain=\"blast\"})","formula":"50th percentile over 24h of client-side round-trip latency (ms) for a single `eth_getBlockByNumber` POST sent every 60s from 3 regions (us-east + eu-west + sgp) to dRPC's no-key Blast endpoint.","availability":"live","meta":{"observedAt":1784679863288}},{"name":"Tenderly","slug":"tenderly","tag":"Multi-chain public gateway, no key","ms":{"p50":329.333,"p90":340,"p99":352.667,"mean":330.479},"successRate":100,"sampleSize":4320.75,"query":"avg(ocb:rpc_latency_milliseconds:p50_24h{provider=\"tenderly\", chain=\"blast\"})","formula":"50th percentile over 24h of client-side round-trip latency (ms) for a single `eth_getBlockByNumber` POST sent every 60s from 3 regions (us-east + eu-west + sgp) to Tenderly's no-key Blast endpoint.","availability":"live","meta":{"observedAt":1784679863288}},{"name":"Blast","slug":"blast-official","tag":"Chain-official RPC, edge-terminated (see findings)","ms":{"p50":1.66667,"p90":2,"p99":2.66667,"mean":1.80162},"successRate":100,"sampleSize":4319.75,"query":"avg(ocb:rpc_latency_milliseconds:p50_24h{provider=\"blast-official\", chain=\"blast\"})","formula":"50th percentile over 24h of client-side round-trip latency (ms) for a single `eth_getBlockByNumber` POST sent every 60s from 3 regions (us-east + eu-west + sgp) to Blast's no-key Blast 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free Taiko RPC, live no-key endpoint latency","seoTitle":"Fastest free Taiko RPC 2026","seoDescription":"PublicNode leads free Taiko RPC at 198 ms (eth_getBlockByNumber p50, 24h). 4 no-key providers measured every 60s from 3 regions.","seoIntro":"Taiko, the based rollup where Ethereum validators sequence L2 blocks, fields 4 no-key providers. Our verification sweep caught one routing quirk worth encoding: Tenderly serves the chain only at the `taiko-mainnet` gateway slug, the plain `/taiko` path 404s. Probes run every 60 seconds from us-east, eu-west and Singapore with stale-head detection against the cross-provider tip.\n","faq":[{"q":"What is the fastest free Taiko RPC right now?","a":"PublicNode currently leads at 198 ms (`eth_getBlockByNumber` p50 over the last 24h), measured against 4 no-key providers probed every 60 seconds from us-east, eu-west and Singapore. The leaderboard re-sorts continuously against fresh Prometheus samples, so the answer on this page is the answer right now, not a quarterly snapshot. Use the region tabs to see the leader from the origin closest to your deployment."},{"q":"Which Taiko RPCs work without an API key?","a":"The 4 providers on this page: PublicNode, dRPC, Tenderly, Taiko. Every (provider, chain) pair was live-verified no-key before inclusion, and anything that key-gates, region-blocks or rate-limits below our 15-second cadence is excluded rather than listed with an asterisk."},{"q":"Does the fastest Taiko RPC change by region?","a":"Frequently. The headline number averages three probe origins (us-east, eu-west, Singapore), but per-region leaders regularly diverge, a gateway that wins from Virginia can lose from Singapore by multiples. The region tabs at the top of the page re-scope every number on the page to a single origin; pick the one closest to where your requests actually originate."},{"q":"How is Taiko RPC latency measured here?","a":"One identical JSON-RPC POST (`eth_getBlockByNumber`) every 60 seconds against each provider from each of 3 regions, with the same plain HTTP client. Wall-clock round-trip is recorded at millisecond precision; p50/p90/p99 are computed via Prometheus `quantile_over_time` over 24 hours. Responses are classified (`ok` / `http_err` / `jsonrpc_err` / `stale` / `timeout`) so an endpoint stuck on an old head or returning errors behind HTTP 200 is never ranked as fastest. The harness is open source and every number on this page is a public Prometheus query you can run yourself."},{"q":"Which free Taiko RPC should production traffic use?","a":"Start from PublicNode (198 ms on the 3-region average) and pair it with the runner-up as fallback; in a 4-provider field a single degradation reshuffles the board. If you configure Tenderly manually, note its gateway path is `taiko-mainnet`, the intuitive `/taiko` path 404s, a detail our probes encode but provider directories rarely do."}],"subtitle":"HTTP round-trip latency for eth_getBlockByNumber against every free, no-key public Taiko RPC endpoint, audited every 60 seconds from 3 regions.","category":"RPCs","status":"live","editorialStatus":"live","metric":"RPC latency","unit":"ms","higherIsBetter":false,"abstract":"Per-chain member of the RPC latency cluster. We measure the round-trip latency of a single, identical RPC call (`eth_getBlockByNumber`) against every no-key public Taiko endpoint that sustains continuous probing, 4 providers, every 60 seconds, from us-east, eu-west and Singapore. The harness also classifies every response (ok / http_err / jsonrpc_err / stale / timeout) and audits archive depth every 5 minutes, so the leaderboard rewards sustained, honest availability rather than a fast error message. The cross-chain view lives on the parent rpc-capabilities benchmark; this page is the Taiko-scoped answer with per-region breakdowns as a first-class dimension.\n","methodology":["Cadence: every 60 seconds per provider, from each of 3 probe regions (us-east Virginia, eu-west Amsterdam, sgp Singapore). Headline p50/p90/p99 aggregate across all 3 regions via Prometheus `avg(quantile_over_time(...))`; per-region breakdowns are first-class on this page via the region tabs.","Payload: `{\"jsonrpc\":\"2.0\",\"id\":<rotating>,\"method\":\"eth_getBlockByNumber\",\"params\":[\"latest\",false]}`. Plain HTTP POST, identical for every endpoint, no API key in any request. Non-cacheable by design: the latest-header fetch with a rotating id defeats edge caches that answer eth_blockNumber without touching a node.","Latency: client-side round-trip delta in milliseconds, exposed as both a gauge and a histogram (buckets 50 ms → 10 s), so percentiles are computed via Prometheus `quantile_over_time` over the last 24 hours.","Call-result classification: `ok` (HTTP 200 + non-empty result), `http_err`, `jsonrpc_err` (HTTP 200 carrying an error body), `stale` (more than 20 blocks behind the cross-provider tip), `timeout`. Latency without reliability is a misleading ranking signal.","Archive depth: every 5 minutes we issue `eth_getBalance` at (head − depth) for depths from Geth's default pruned cap up to 5M blocks, exposing which free endpoints actually serve historical state.","This page is part of the per-chain RPC cluster derived from the cross-chain [rpc-capabilities](https://openchainbench.com/benchmarks/rpc-capabilities) benchmark; the identical harness, methodology and exclusion rules apply on every chain.","Chain scope: every query on this page is pinned to chain=\"taiko\". Provider coverage: 4 no-key endpoints (PublicNode, dRPC, Tenderly, Taiko). Exclusions follow the cluster-wide rules documented on the parent benchmark."],"findings":["PublicNode currently leads free Taiko RPC at 198 ms (`eth_getBlockByNumber` p50, 24h) across 4 measured providers.","dRPC (242 ms) brings the same anycast steadiness that carries it to 10 wins across the 12 expansion chains; based sequencing on the chain side changes nothing about who answers RPC reads fastest.","Tenderly both qualifies and disappoints: reachable only at the `taiko-mainnet` slug, and once reached it shows the flat ~330 ms three-region signature of a single origin, while the same gateway is competitive on the majors.","A 4-provider field leaves little redundancy: one gateway incident visibly reshuffles the 24h board, which is why the success-rate column and region tabs matter more here than on the deep Ethereum cohort."],"source":"https://github.com/ChainBench/OpenChainBench/tree/main/harnesses/rpc-capabilities","dimensions":{"region":[{"value":"all","label":"All regions"},{"value":"us-east","label":"US-East"},{"value":"eu-west","label":"EU-West"},{"value":"sgp","label":"Singapore"}]},"results":[{"name":"PublicNode","slug":"publicnode","tag":"Allnodes-operated, 70+ chains, archive on most","ms":{"p50":197.833,"p90":282.367,"p99":620.667,"mean":204.339},"successRate":100,"sampleSize":4318.75,"query":"avg(ocb:rpc_latency_milliseconds:p50_24h{provider=\"publicnode\", chain=\"taiko\"})","formula":"50th percentile over 24h of client-side round-trip latency (ms) for a single `eth_getBlockByNumber` POST sent every 60s from 3 regions (us-east + eu-west + sgp) to PublicNode's no-key Taiko endpoint.","availability":"live","meta":{"observedAt":1784679902651}},{"name":"dRPC","slug":"drpc","tag":"Decentralized RPC mesh, consensus-checked","ms":{"p50":242.333,"p90":503.833,"p99":1194.5,"mean":309.528},"successRate":83.7037,"sampleSize":4320.75,"query":"avg(ocb:rpc_latency_milliseconds:p50_24h{provider=\"drpc\", chain=\"taiko\"})","formula":"50th percentile over 24h of client-side round-trip latency (ms) for a single `eth_getBlockByNumber` POST sent every 60s from 3 regions (us-east + eu-west + sgp) to dRPC's no-key Taiko endpoint.","availability":"live","meta":{"observedAt":1784679902651}},{"name":"Tenderly","slug":"tenderly","tag":"Multi-chain public gateway, no key","ms":{"p50":327.333,"p90":338,"p99":368.667,"mean":328.872},"successRate":100,"sampleSize":4319.75,"query":"avg(ocb:rpc_latency_milliseconds:p50_24h{provider=\"tenderly\", chain=\"taiko\"})","formula":"50th percentile over 24h of client-side round-trip latency (ms) for a single `eth_getBlockByNumber` POST sent every 60s from 3 regions (us-east + eu-west + sgp) to Tenderly's no-key Taiko endpoint.","availability":"live","meta":{"observedAt":1784679902651}},{"name":"Taiko","slug":"taiko-official","tag":"Taiko Labs public RPC, Taiko mainnet only","ms":{"p50":222.667,"p90":350,"p99":862.333,"mean":274.23},"successRate":99.8146,"sampleSize":4316.75,"query":"avg(ocb:rpc_latency_milliseconds:p50_24h{provider=\"taiko-official\", chain=\"taiko\"})","formula":"50th percentile over 24h of client-side round-trip latency (ms) for a single `eth_getBlockByNumber` POST sent every 60s from 3 regions (us-east + eu-west + sgp) to Taiko's no-key Taiko 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free Berachain RPC, live no-key endpoint latency","seoTitle":"Fastest free Berachain RPC 2026","seoDescription":"Berachain leads free Berachain RPC at 167 ms (eth_getBlockByNumber p50, 24h). 4 no-key providers measured every 60s from 3 regions.","seoIntro":"Berachain's proof-of-liquidity L1 fields 4 no-key providers: the Foundation's `rpc.berachain.com` plus PublicNode, dRPC and Tenderly. A thin cohort is itself a signal, several sibling chains failed the cluster's four-keyless-provider bar entirely, so each endpoint that qualifies here carries more of the redundancy burden. Identical probes every 60 seconds, three regions, full response classification.\n","faq":[{"q":"What is the fastest free Berachain RPC right now?","a":"Berachain currently leads at 167 ms (`eth_getBlockByNumber` p50 over the last 24h), measured against 4 no-key providers probed every 60 seconds from us-east, eu-west and Singapore. The leaderboard re-sorts continuously against fresh Prometheus samples, so the answer on this page is the answer right now, not a quarterly snapshot. Use the region tabs to see the leader from the origin closest to your deployment."},{"q":"Which Berachain RPCs work without an API key?","a":"The 4 providers on this page: PublicNode, dRPC, Tenderly, Berachain. Every (provider, chain) pair was live-verified no-key before inclusion, and anything that key-gates, region-blocks or rate-limits below our 15-second cadence is excluded rather than listed with an asterisk."},{"q":"Does the fastest Berachain RPC change by region?","a":"Frequently. The headline number averages three probe origins (us-east, eu-west, Singapore), but per-region leaders regularly diverge, a gateway that wins from Virginia can lose from Singapore by multiples. The region tabs at the top of the page re-scope every number on the page to a single origin; pick the one closest to where your requests actually originate."},{"q":"How is Berachain RPC latency measured here?","a":"One identical JSON-RPC POST (`eth_getBlockByNumber`) every 60 seconds against each provider from each of 3 regions, with the same plain HTTP client. Wall-clock round-trip is recorded at millisecond precision; p50/p90/p99 are computed via Prometheus `quantile_over_time` over 24 hours. Responses are classified (`ok` / `http_err` / `jsonrpc_err` / `stale` / `timeout`) so an endpoint stuck on an old head or returning errors behind HTTP 200 is never ranked as fastest. The harness is open source and every number on this page is a public Prometheus query you can run yourself."},{"q":"Are free Berachain RPCs ready for production traffic?","a":"The four qualifying endpoints all sustain our 15-second cadence with high measured success rates, which is the floor for production reads. The real constraint is redundancy: with 4 providers, one incident removes a quarter of your options, so run the current leader (Berachain, 167 ms) as primary with the runner-up wired as fallback and let this page arbitrate after incidents."}],"subtitle":"HTTP round-trip latency for eth_getBlockByNumber against every free, no-key public Berachain RPC endpoint, audited every 60 seconds from 3 regions.","category":"RPCs","status":"live","editorialStatus":"live","metric":"RPC latency","unit":"ms","higherIsBetter":false,"abstract":"Per-chain member of the RPC latency cluster. We measure the round-trip latency of a single, identical RPC call (`eth_getBlockByNumber`) against every no-key public Berachain endpoint that sustains continuous probing, 4 providers, every 60 seconds, from us-east, eu-west and Singapore. The harness also classifies every response (ok / http_err / jsonrpc_err / stale / timeout) and audits archive depth every 5 minutes, so the leaderboard rewards sustained, honest availability rather than a fast error message. The cross-chain view lives on the parent rpc-capabilities benchmark; this page is the Berachain-scoped answer with per-region breakdowns as a first-class dimension.\n","methodology":["Cadence: every 60 seconds per provider, from each of 3 probe regions (us-east Virginia, eu-west Amsterdam, sgp Singapore). Headline p50/p90/p99 aggregate across all 3 regions via Prometheus `avg(quantile_over_time(...))`; per-region breakdowns are first-class on this page via the region tabs.","Payload: `{\"jsonrpc\":\"2.0\",\"id\":<rotating>,\"method\":\"eth_getBlockByNumber\",\"params\":[\"latest\",false]}`. Plain HTTP POST, identical for every endpoint, no API key in any request. Non-cacheable by design: the latest-header fetch with a rotating id defeats edge caches that answer eth_blockNumber without touching a node.","Latency: client-side round-trip delta in milliseconds, exposed as both a gauge and a histogram (buckets 50 ms → 10 s), so percentiles are computed via Prometheus `quantile_over_time` over the last 24 hours.","Call-result classification: `ok` (HTTP 200 + non-empty result), `http_err`, `jsonrpc_err` (HTTP 200 carrying an error body), `stale` (more than 20 blocks behind the cross-provider tip), `timeout`. Latency without reliability is a misleading ranking signal.","Archive depth: every 5 minutes we issue `eth_getBalance` at (head − depth) for depths from Geth's default pruned cap up to 5M blocks, exposing which free endpoints actually serve historical state.","This page is part of the per-chain RPC cluster derived from the cross-chain [rpc-capabilities](https://openchainbench.com/benchmarks/rpc-capabilities) benchmark; the identical harness, methodology and exclusion rules apply on every chain.","Chain scope: every query on this page is pinned to chain=\"berachain\". Provider coverage: 4 no-key endpoints (PublicNode, dRPC, Tenderly, Berachain). Exclusions follow the cluster-wide rules documented on the parent benchmark."],"findings":["Berachain currently leads free Berachain RPC at 167 ms (`eth_getBlockByNumber` p50, 24h) across 4 measured providers.","dRPC (244 ms) extends its expansion-wide consistency run to Berachain, the anycast profile that takes 10 of the 12 long-tail chains on the 3-region average.","Tenderly shows the long-tail single-origin signature again, roughly 330 ms from every region, a sharp contrast with its performance on the chains its edge network actually fronts.","The Foundation endpoint gives the chain a credible house baseline; whether it beats the gateways depends on your origin, which is exactly what the per-region tabs are for."],"source":"https://github.com/ChainBench/OpenChainBench/tree/main/harnesses/rpc-capabilities","dimensions":{"region":[{"value":"all","label":"All regions"},{"value":"us-east","label":"US-East"},{"value":"eu-west","label":"EU-West"},{"value":"sgp","label":"Singapore"}]},"results":[{"name":"PublicNode","slug":"publicnode","tag":"Allnodes-operated, 70+ chains, archive on most","ms":{"p50":248.667,"p90":270.333,"p99":605.333,"mean":223.877},"successRate":100,"sampleSize":4318.75,"query":"avg(ocb:rpc_latency_milliseconds:p50_24h{provider=\"publicnode\", chain=\"berachain\"})","formula":"50th percentile over 24h of client-side round-trip latency (ms) for a single `eth_getBlockByNumber` POST sent every 60s from 3 regions (us-east + eu-west + sgp) to PublicNode's no-key Berachain endpoint.","availability":"live","meta":{"observedAt":1784679863287}},{"name":"dRPC","slug":"drpc","tag":"Decentralized RPC mesh, consensus-checked","ms":{"p50":243.5,"p90":532.9,"p99":1251.33,"mean":317.627},"successRate":84.5798,"sampleSize":4319.75,"query":"avg(ocb:rpc_latency_milliseconds:p50_24h{provider=\"drpc\", chain=\"berachain\"})","formula":"50th percentile over 24h of client-side round-trip latency (ms) for a single `eth_getBlockByNumber` POST sent every 60s from 3 regions (us-east + eu-west + sgp) to dRPC's no-key Berachain endpoint.","availability":"live","meta":{"observedAt":1784679863287}},{"name":"Tenderly","slug":"tenderly","tag":"Multi-chain public gateway, no key","ms":{"p50":327.333,"p90":338.367,"p99":359,"mean":329.215},"successRate":100,"sampleSize":4318.75,"query":"avg(ocb:rpc_latency_milliseconds:p50_24h{provider=\"tenderly\", chain=\"berachain\"})","formula":"50th percentile over 24h of client-side round-trip latency (ms) for a single `eth_getBlockByNumber` POST sent every 60s from 3 regions (us-east + eu-west + sgp) to Tenderly's no-key Berachain endpoint.","availability":"live","meta":{"observedAt":1784679863287}},{"name":"Berachain","slug":"berachain-official","tag":"Berachain Foundation public RPC, Berachain only","ms":{"p50":166.667,"p90":170.7,"p99":174.667,"mean":166.87},"successRate":100,"sampleSize":4319.75,"query":"avg(ocb:rpc_latency_milliseconds:p50_24h{provider=\"berachain-official\", chain=\"berachain\"})","formula":"50th percentile over 24h of client-side round-trip latency (ms) for a single `eth_getBlockByNumber` POST sent every 60s from 3 regions (us-east + eu-west + sgp) to Berachain's no-key Berachain 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free zkSync Era RPC, live no-key endpoint latency","seoTitle":"Fastest free zkSync RPC 2026","seoDescription":"dRPC leads free zkSync Era RPC at 168 ms (eth_getBlockByNumber p50, 24h). 3 no-key providers measured every 60s from 3 regions.","seoIntro":"zkSync Era is the only chain in our entire probe matrix with no PublicNode endpoint: both plausible subdomains 404, a genuine rarity for a provider that covers 70+ chains. That leaves dRPC, Tenderly and Matter Labs' own `mainnet.era.zksync.io` answering the identical `eth_getBlockByNumber` probe every 60 seconds from three regions, with stale-head detection against the cross-provider tip.\n","faq":[{"q":"What is the fastest free zkSync Era RPC right now?","a":"dRPC currently leads at 168 ms (`eth_getBlockByNumber` p50 over the last 24h), measured against 3 no-key providers probed every 60 seconds from us-east, eu-west and Singapore. The leaderboard re-sorts continuously against fresh Prometheus samples, so the answer on this page is the answer right now, not a quarterly snapshot. Use the region tabs to see the leader from the origin closest to your deployment."},{"q":"Which zkSync Era RPCs work without an API key?","a":"The 3 providers on this page: dRPC, Tenderly, zkSync. Every (provider, chain) pair was live-verified no-key before inclusion, and anything that key-gates, region-blocks or rate-limits below our 15-second cadence is excluded rather than listed with an asterisk."},{"q":"Does the fastest zkSync Era RPC change by region?","a":"Frequently. The headline number averages three probe origins (us-east, eu-west, Singapore), but per-region leaders regularly diverge, a gateway that wins from Virginia can lose from Singapore by multiples. The region tabs at the top of the page re-scope every number on the page to a single origin; pick the one closest to where your requests actually originate."},{"q":"How is zkSync Era RPC latency measured here?","a":"One identical JSON-RPC POST (`eth_getBlockByNumber`) every 60 seconds against each provider from each of 3 regions, with the same plain HTTP client. Wall-clock round-trip is recorded at millisecond precision; p50/p90/p99 are computed via Prometheus `quantile_over_time` over 24 hours. Responses are classified (`ok` / `http_err` / `jsonrpc_err` / `stale` / `timeout`) so an endpoint stuck on an old head or returning errors behind HTTP 200 is never ranked as fastest. The harness is open source and every number on this page is a public Prometheus query you can run yourself."},{"q":"Why is PublicNode not listed for zkSync Era?","a":"Because it does not serve the chain: both plausible PublicNode subdomains returned 404 in our 2026-07-03 verification sweep, making zkSync Era the only chain we probe without a PublicNode endpoint. The bench lists what actually answers, not what coverage pages claim, so the leaderboard has 3 providers and dRPC (168 ms) currently leads them."}],"subtitle":"HTTP round-trip latency for eth_getBlockByNumber against every free, no-key public zkSync Era RPC endpoint, audited every 60 seconds from 3 regions.","category":"RPCs","status":"live","editorialStatus":"live","metric":"RPC latency","unit":"ms","higherIsBetter":false,"abstract":"Per-chain member of the RPC latency cluster. We measure the round-trip latency of a single, identical RPC call (`eth_getBlockByNumber`) against every no-key public zkSync Era endpoint that sustains continuous probing, 3 providers, every 60 seconds, from us-east, eu-west and Singapore. The harness also classifies every response (ok / http_err / jsonrpc_err / stale / timeout) and audits archive depth every 5 minutes, so the leaderboard rewards sustained, honest availability rather than a fast error message. The cross-chain view lives on the parent rpc-capabilities benchmark; this page is the zkSync Era-scoped answer with per-region breakdowns as a first-class dimension.\n","methodology":["Cadence: every 60 seconds per provider, from each of 3 probe regions (us-east Virginia, eu-west Amsterdam, sgp Singapore). Headline p50/p90/p99 aggregate across all 3 regions via Prometheus `avg(quantile_over_time(...))`; per-region breakdowns are first-class on this page via the region tabs.","Payload: `{\"jsonrpc\":\"2.0\",\"id\":<rotating>,\"method\":\"eth_getBlockByNumber\",\"params\":[\"latest\",false]}`. Plain HTTP POST, identical for every endpoint, no API key in any request. Non-cacheable by design: the latest-header fetch with a rotating id defeats edge caches that answer eth_blockNumber without touching a node.","Latency: client-side round-trip delta in milliseconds, exposed as both a gauge and a histogram (buckets 50 ms → 10 s), so percentiles are computed via Prometheus `quantile_over_time` over the last 24 hours.","Call-result classification: `ok` (HTTP 200 + non-empty result), `http_err`, `jsonrpc_err` (HTTP 200 carrying an error body), `stale` (more than 20 blocks behind the cross-provider tip), `timeout`. Latency without reliability is a misleading ranking signal.","Archive depth: every 5 minutes we issue `eth_getBalance` at (head − depth) for depths from Geth's default pruned cap up to 5M blocks, exposing which free endpoints actually serve historical state.","This page is part of the per-chain RPC cluster derived from the cross-chain [rpc-capabilities](https://openchainbench.com/benchmarks/rpc-capabilities) benchmark; the identical harness, methodology and exclusion rules apply on every chain.","Chain scope: every query on this page is pinned to chain=\"zksync\". Provider coverage: 3 no-key endpoints (dRPC, Tenderly, zkSync). Exclusions follow the cluster-wide rules documented on the parent benchmark."],"findings":["dRPC currently leads free zkSync Era RPC at 168 ms (`eth_getBlockByNumber` p50, 24h) across 3 measured providers.","No PublicNode is the structural headline: the near-universal default provider simply does not serve zkSync Era (both candidate subdomains 404), so dapps that template PublicNode URLs per chain need a different answer here.","dRPC (168 ms) picks up the default-provider role instead, with the anycast consistency that wins it 10 of the 12 expansion chains on the 3-region average.","Tenderly runs zkSync through the same single-origin path as the rest of the long tail, a flat ~330 ms from all three regions, despite marketing the chain as a first-class network."],"source":"https://github.com/ChainBench/OpenChainBench/tree/main/harnesses/rpc-capabilities","dimensions":{"region":[{"value":"all","label":"All regions"},{"value":"us-east","label":"US-East"},{"value":"eu-west","label":"EU-West"},{"value":"sgp","label":"Singapore"}]},"results":[{"name":"dRPC","slug":"drpc","tag":"Decentralized RPC mesh, consensus-checked","ms":{"p50":167.667,"p90":183,"p99":252.333,"mean":171.839},"successRate":84.7222,"sampleSize":4320.75,"query":"avg(ocb:rpc_latency_milliseconds:p50_24h{provider=\"drpc\", chain=\"zksync\"})","formula":"50th percentile over 24h of client-side round-trip latency (ms) for a single `eth_getBlockByNumber` POST sent every 60s from 3 regions (us-east + eu-west + sgp) to dRPC's no-key zkSync Era endpoint.","availability":"live","meta":{"observedAt":1784679906009}},{"name":"Tenderly","slug":"tenderly","tag":"Multi-chain public gateway, no key","ms":{"p50":331.333,"p90":342.667,"p99":401.333,"mean":333.771},"successRate":100,"sampleSize":4320.75,"query":"avg(ocb:rpc_latency_milliseconds:p50_24h{provider=\"tenderly\", chain=\"zksync\"})","formula":"50th percentile over 24h of client-side round-trip latency (ms) for a single `eth_getBlockByNumber` POST sent every 60s from 3 regions (us-east + eu-west + sgp) to Tenderly's no-key zkSync Era endpoint.","availability":"live","meta":{"observedAt":1784679906009}},{"name":"zkSync","slug":"zksync-official","tag":"Matter Labs public RPC, zkSync Era only","ms":{"p50":217,"p90":226.333,"p99":864.667,"mean":237.526},"successRate":99.5831,"sampleSize":4318.75,"query":"avg(ocb:rpc_latency_milliseconds:p50_24h{provider=\"zksync-official\", chain=\"zksync\"})","formula":"50th percentile over 24h of client-side round-trip latency (ms) for a single `eth_getBlockByNumber` POST sent every 60s from 3 regions (us-east + eu-west + sgp) to zkSync's no-key zkSync Era 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free Cronos RPC, live no-key endpoint latency","seoTitle":"Fastest free Cronos RPC 2026","seoDescription":"Cronos leads free Cronos RPC at 25 ms (eth_getBlockByNumber p50, 24h). 3 no-key providers measured every 60s from 3 regions.","seoIntro":"Cronos fields 3 no-key providers and encodes an integration trap\nfrom our sweep: PublicNode serves the chain at\n`cronos-evm-rpc.publicnode.com` (the intuitive `cronos-rpc`\nsubdomain resolves but returns non-JSON). Tenderly's public gateway\ndoes not reach Cronos, making this one of the few pages in the\nArbitrum after its keyless per-IP daily budget proved too tight for\ncontinuous multi-chain probing. Probes every 60 seconds from three\nregions with the cluster's anti-cache payload.\n","faq":[{"q":"What is the fastest free Cronos RPC right now?","a":"Cronos currently leads at 25 ms (`eth_getBlockByNumber` p50 over the last 24h), measured against 3 no-key providers probed every 60 seconds from us-east, eu-west and Singapore. The leaderboard re-sorts continuously against fresh Prometheus samples, so the answer on this page is the answer right now, not a quarterly snapshot. Use the region tabs to see the leader from the origin closest to your deployment."},{"q":"Which Cronos RPCs work without an API key?","a":"Three endpoints sustain continuous keyless probing: PublicNode (at `cronos-evm-rpc.publicnode.com`, note the non-intuitive subdomain), dRPC, and the chain-linked public endpoint. Tenderly's public gateway does not reach Cronos, and 1RPC was descoped cluster-wide to Ethereum and Arbitrum because its keyless per-IP daily budget cannot sustain continuous multi-chain probing. Every listed endpoint was live-verified before inclusion."},{"q":"Does the fastest Cronos RPC change by region?","a":"Frequently. The headline number averages three probe origins (us-east, eu-west, Singapore), but per-region leaders regularly diverge, a gateway that wins from Virginia can lose from Singapore by multiples. The region tabs at the top of the page re-scope every number on the page to a single origin; pick the one closest to where your requests actually originate."},{"q":"How is Cronos RPC latency measured here?","a":"One identical JSON-RPC POST (`eth_getBlockByNumber`) every 60 seconds against each provider from each of 3 regions, with the same plain HTTP client. Wall-clock round-trip is recorded at millisecond precision; p50/p90/p99 are computed via Prometheus `quantile_over_time` over 24 hours. Responses are classified (`ok` / `http_err` / `jsonrpc_err` / `stale` / `timeout`) so an endpoint stuck on an old head or returning errors behind HTTP 200 is never ranked as fastest. The harness is open source and every number on this page is a public Prometheus query you can run yourself."},{"q":"Why isn't MeowRPC listed on Cronos?","a":"We tried it. MeowRPC's long-tail endpoints no longer resolve (DNS gone), and the provider appears defunct outside a few legacy chains, so it failed the live verification, eth_chainId match plus sustained probing, that gates admission to this cluster. Directories still listing it are copying stale metadata; this bench only ranks endpoints that answer."}],"subtitle":"HTTP round-trip latency for eth_getBlockByNumber against every free, no-key public Cronos RPC endpoint, audited every 60 seconds from 3 regions.","category":"RPCs","status":"live","editorialStatus":"live","metric":"RPC latency","unit":"ms","higherIsBetter":false,"abstract":"Per-chain member of the RPC latency cluster. We measure the round-trip latency of a single, identical RPC call (`eth_getBlockByNumber`) against every no-key public Cronos endpoint that sustains continuous probing, 3 providers, every 60 seconds, from us-east, eu-west and Singapore. The harness also classifies every response (ok / http_err / jsonrpc_err / stale / timeout) and audits archive depth every 5 minutes, so the leaderboard rewards sustained, honest availability rather than a fast error message. The cross-chain view lives on the parent rpc-capabilities benchmark; this page is the Cronos-scoped answer with per-region breakdowns as a first-class dimension.\n","methodology":["Cadence: every 60 seconds per provider, from each of 3 probe regions (us-east Virginia, eu-west Amsterdam, sgp Singapore). Headline p50/p90/p99 aggregate across all 3 regions via Prometheus `avg(quantile_over_time(...))`; per-region breakdowns are first-class on this page via the region tabs.","Payload: `{\"jsonrpc\":\"2.0\",\"id\":<rotating>,\"method\":\"eth_getBlockByNumber\",\"params\":[\"latest\",false]}`. Plain HTTP POST, identical for every endpoint, no API key in any request. Non-cacheable by design: the latest-header fetch with a rotating id defeats edge caches that answer eth_blockNumber without touching a node.","Latency: client-side round-trip delta in milliseconds, exposed as both a gauge and a histogram (buckets 50 ms → 10 s), so percentiles are computed via Prometheus `quantile_over_time` over the last 24 hours.","Call-result classification: `ok` (HTTP 200 + non-empty result), `http_err`, `jsonrpc_err` (HTTP 200 carrying an error body), `stale` (more than 20 blocks behind the cross-provider tip), `timeout`. Latency without reliability is a misleading ranking signal.","Archive depth: every 5 minutes we issue `eth_getBalance` at (head − depth) for depths from Geth's default pruned cap up to 5M blocks, exposing which free endpoints actually serve historical state.","This page is part of the per-chain RPC cluster derived from the cross-chain [rpc-capabilities](https://openchainbench.com/benchmarks/rpc-capabilities) benchmark; the identical harness, methodology and exclusion rules apply on every chain."],"findings":["Cronos currently leads free Cronos RPC at 25 ms (`eth_getBlockByNumber` p50, 24h) across 3 measured providers.","PublicNode (94 ms) hides behind a naming trap: the working subdomain is `cronos-evm-rpc`, while `cronos-rpc` resolves and then returns non-JSON, a failure mode that looks like an outage if you guessed the URL.","dRPC (257 ms) delivers its usual three-region steadiness, the anycast pattern behind its 10-of-12 record across this long-tail expansion.","MeowRPC, historically listed for Cronos in RPC directories, is absent by measurement: its long-tail DNS is gone and the provider appears defunct outside a handful of legacy chains."],"source":"https://github.com/ChainBench/OpenChainBench/tree/main/harnesses/rpc-capabilities","dimensions":{"region":[{"value":"all","label":"All regions"},{"value":"us-east","label":"US-East"},{"value":"eu-west","label":"EU-West"},{"value":"sgp","label":"Singapore"}]},"results":[{"name":"PublicNode","slug":"publicnode","tag":"Allnodes-operated, 70+ chains, archive on most","ms":{"p50":94.3333,"p90":261.667,"p99":316.333,"mean":142.24},"successRate":100,"sampleSize":4319.75,"query":"avg(ocb:rpc_latency_milliseconds:p50_24h{provider=\"publicnode\", chain=\"cronos\"})","formula":"50th percentile over 24h of client-side round-trip latency (ms) for a single `eth_getBlockByNumber` POST sent every 60s from 3 regions (us-east + eu-west + sgp) to PublicNode's no-key Cronos 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free Fraxtal RPC, live no-key endpoint latency","seoTitle":"Fastest free Fraxtal RPC 2026","seoDescription":"Fraxtal leads free Fraxtal RPC at 22 ms (eth_getBlockByNumber p50, 24h). 4 no-key providers measured every 60s from 3 regions.","seoIntro":"Fraxtal, Frax's OP Stack rollup, fields 4 no-key providers: PublicNode, dRPC, Tenderly and Frax's own `rpc.frax.com`. The four-provider floor it just clears is the cluster's deliberate admission bar, chains that could not field four keyless endpoints (Mode, Zora, Abstract) were left out of the expansion entirely rather than shipped as two-row leaderboards. Identical probes every 60 seconds, three regions.\n","faq":[{"q":"What is the fastest free Fraxtal RPC right now?","a":"Fraxtal currently leads at 22 ms (`eth_getBlockByNumber` p50 over the last 24h), measured against 4 no-key providers probed every 60 seconds from us-east, eu-west and Singapore. The leaderboard re-sorts continuously against fresh Prometheus samples, so the answer on this page is the answer right now, not a quarterly snapshot. Use the region tabs to see the leader from the origin closest to your deployment."},{"q":"Which Fraxtal RPCs work without an API key?","a":"The 4 providers on this page: PublicNode, dRPC, Tenderly, Fraxtal. Every (provider, chain) pair was live-verified no-key before inclusion, and anything that key-gates, region-blocks or rate-limits below our 15-second cadence is excluded rather than listed with an asterisk."},{"q":"Does the fastest Fraxtal RPC change by region?","a":"Frequently. The headline number averages three probe origins (us-east, eu-west, Singapore), but per-region leaders regularly diverge, a gateway that wins from Virginia can lose from Singapore by multiples. The region tabs at the top of the page re-scope every number on the page to a single origin; pick the one closest to where your requests actually originate."},{"q":"How is Fraxtal RPC latency measured here?","a":"One identical JSON-RPC POST (`eth_getBlockByNumber`) every 60 seconds against each provider from each of 3 regions, with the same plain HTTP client. Wall-clock round-trip is recorded at millisecond precision; p50/p90/p99 are computed via Prometheus `quantile_over_time` over 24 hours. Responses are classified (`ok` / `http_err` / `jsonrpc_err` / `stale` / `timeout`) so an endpoint stuck on an old head or returning errors behind HTTP 200 is never ranked as fastest. The harness is open source and every number on this page is a public Prometheus query you can run yourself."},{"q":"Why are chains like Mode, Zora or Sei missing from this cluster?","a":"Each failed a specific admission test. Mode, Zora and Abstract could not field 4 keyless providers, below the bar for a meaningful leaderboard. Sei was excluded because dRPC caches `eth_getBlockByNumber` there, poisoning the exact probe we rank on. opBNB fell out because 1RPC returns 429 at our 15-second cadence, leaving only 3 solid providers. The cluster only ships chains where the comparison is honest."}],"subtitle":"HTTP round-trip latency for eth_getBlockByNumber against every free, no-key public Fraxtal RPC endpoint, audited every 60 seconds from 3 regions.","category":"RPCs","status":"live","editorialStatus":"live","metric":"RPC latency","unit":"ms","higherIsBetter":false,"abstract":"Per-chain member of the RPC latency cluster. We measure the round-trip latency of a single, identical RPC call (`eth_getBlockByNumber`) against every no-key public Fraxtal endpoint that sustains continuous probing, 4 providers, every 60 seconds, from us-east, eu-west and Singapore. The harness also classifies every response (ok / http_err / jsonrpc_err / stale / timeout) and audits archive depth every 5 minutes, so the leaderboard rewards sustained, honest availability rather than a fast error message. The cross-chain view lives on the parent rpc-capabilities benchmark; this page is the Fraxtal-scoped answer with per-region breakdowns as a first-class dimension.\n","methodology":["Cadence: every 60 seconds per provider, from each of 3 probe regions (us-east Virginia, eu-west Amsterdam, sgp Singapore). Headline p50/p90/p99 aggregate across all 3 regions via Prometheus `avg(quantile_over_time(...))`; per-region breakdowns are first-class on this page via the region tabs.","Payload: `{\"jsonrpc\":\"2.0\",\"id\":<rotating>,\"method\":\"eth_getBlockByNumber\",\"params\":[\"latest\",false]}`. Plain HTTP POST, identical for every endpoint, no API key in any request. Non-cacheable by design: the latest-header fetch with a rotating id defeats edge caches that answer eth_blockNumber without touching a node.","Latency: client-side round-trip delta in milliseconds, exposed as both a gauge and a histogram (buckets 50 ms → 10 s), so percentiles are computed via Prometheus `quantile_over_time` over the last 24 hours.","Call-result classification: `ok` (HTTP 200 + non-empty result), `http_err`, `jsonrpc_err` (HTTP 200 carrying an error body), `stale` (more than 20 blocks behind the cross-provider tip), `timeout`. Latency without reliability is a misleading ranking signal.","Archive depth: every 5 minutes we issue `eth_getBalance` at (head − depth) for depths from Geth's default pruned cap up to 5M blocks, exposing which free endpoints actually serve historical state.","This page is part of the per-chain RPC cluster derived from the cross-chain [rpc-capabilities](https://openchainbench.com/benchmarks/rpc-capabilities) benchmark; the identical harness, methodology and exclusion rules apply on every chain.","Chain scope: every query on this page is pinned to chain=\"fraxtal\". Provider coverage: 4 no-key endpoints (PublicNode, dRPC, Tenderly, Fraxtal). Exclusions follow the cluster-wide rules documented on the parent benchmark."],"findings":["Fraxtal currently leads free Fraxtal RPC at 22 ms (`eth_getBlockByNumber` p50, 24h) across 4 measured providers.","dRPC (168 ms) closes out its expansion pattern here, anycast consistency across us-east, eu-west and Singapore, the profile that wins it 10 of the 12 new chains on the 3-region average.","Tenderly posts the recurring long-tail flat line, ~330 ms from every origin at once, single-origin routing on a gateway whose edge network clearly does not front Fraxtal.","Fraxtal sits exactly at the cluster's admission bar of 4 keyless providers, the fact that Mode, Zora and Abstract missed; a thin field makes the success-rate column the tiebreaker the median cannot show."],"source":"https://github.com/ChainBench/OpenChainBench/tree/main/harnesses/rpc-capabilities","dimensions":{"region":[{"value":"all","label":"All 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free Soneium RPC, live no-key endpoint latency","seoTitle":"Fastest free Soneium RPC 2026","seoDescription":"Soneium leads free Soneium RPC at 14 ms (eth_getBlockByNumber p50, 24h). 4 no-key providers measured every 60s from 3 regions.","seoIntro":"Soneium, Sony's OP Stack rollup, is the long-tail chain where the official endpoint actually wins: `rpc.soneium.org` leads at roughly 17 ms on the 3-region average, distributed official infrastructure that answers near every probe origin while keeping fresh heads in our stale detection. 4 no-key providers, the identical `eth_getBlockByNumber` call every 60 seconds from us-east, eu-west and Singapore.\n","faq":[{"q":"What is the fastest free Soneium RPC right now?","a":"Soneium currently leads at 14 ms (`eth_getBlockByNumber` p50 over the last 24h), measured against 4 no-key providers probed every 60 seconds from us-east, eu-west and Singapore. The leaderboard re-sorts continuously against fresh Prometheus samples, so the answer on this page is the answer right now, not a quarterly snapshot. Use the region tabs to see the leader from the origin closest to your deployment."},{"q":"Which Soneium RPCs work without an API key?","a":"The 4 providers on this page: PublicNode, dRPC, Tenderly, Soneium. Every (provider, chain) pair was live-verified no-key before inclusion, and anything that key-gates, region-blocks or rate-limits below our 15-second cadence is excluded rather than listed with an asterisk."},{"q":"Does the fastest Soneium RPC change by region?","a":"Frequently. The headline number averages three probe origins (us-east, eu-west, Singapore), but per-region leaders regularly diverge, a gateway that wins from Virginia can lose from Singapore by multiples. The region tabs at the top of the page re-scope every number on the page to a single origin; pick the one closest to where your requests actually originate."},{"q":"How is Soneium RPC latency measured here?","a":"One identical JSON-RPC POST (`eth_getBlockByNumber`) every 60 seconds against each provider from each of 3 regions, with the same plain HTTP client. Wall-clock round-trip is recorded at millisecond precision; p50/p90/p99 are computed via Prometheus `quantile_over_time` over 24 hours. Responses are classified (`ok` / `http_err` / `jsonrpc_err` / `stale` / `timeout`) so an endpoint stuck on an old head or returning errors behind HTTP 200 is never ranked as fastest. The harness is open source and every number on this page is a public Prometheus query you can run yourself."},{"q":"Is the official Soneium RPC actually the best choice?","a":"Currently yes, and that is unusual: across the 12-chain long-tail expansion only two chains resist the gateway tier, and `rpc.soneium.org` is the clearest case, leading the 3-region average at around 17 ms while our stale-head checks stay clean. The usual free-tier caveats (no SLA, shared limits) still apply, so keep dRPC or PublicNode wired as fallback."}],"subtitle":"HTTP round-trip latency for eth_getBlockByNumber against every free, no-key public Soneium RPC endpoint, audited every 60 seconds from 3 regions.","category":"RPCs","status":"live","editorialStatus":"live","metric":"RPC latency","unit":"ms","higherIsBetter":false,"abstract":"Per-chain member of the RPC latency cluster. We measure the round-trip latency of a single, identical RPC call (`eth_getBlockByNumber`) against every no-key public Soneium endpoint that sustains continuous probing, 4 providers, every 60 seconds, from us-east, eu-west and Singapore. The harness also classifies every response (ok / http_err / jsonrpc_err / stale / timeout) and audits archive depth every 5 minutes, so the leaderboard rewards sustained, honest availability rather than a fast error message. The cross-chain view lives on the parent rpc-capabilities benchmark; this page is the Soneium-scoped answer with per-region breakdowns as a first-class dimension.\n","methodology":["Cadence: every 60 seconds per provider, from each of 3 probe regions (us-east Virginia, eu-west Amsterdam, sgp Singapore). Headline p50/p90/p99 aggregate across all 3 regions via Prometheus `avg(quantile_over_time(...))`; per-region breakdowns are first-class on this page via the region tabs.","Payload: `{\"jsonrpc\":\"2.0\",\"id\":<rotating>,\"method\":\"eth_getBlockByNumber\",\"params\":[\"latest\",false]}`. Plain HTTP POST, identical for every endpoint, no API key in any request. Non-cacheable by design: the latest-header fetch with a rotating id defeats edge caches that answer eth_blockNumber without touching a node.","Latency: client-side round-trip delta in milliseconds, exposed as both a gauge and a histogram (buckets 50 ms → 10 s), so percentiles are computed via Prometheus `quantile_over_time` over the last 24 hours.","Call-result classification: `ok` (HTTP 200 + non-empty result), `http_err`, `jsonrpc_err` (HTTP 200 carrying an error body), `stale` (more than 20 blocks behind the cross-provider tip), `timeout`. Latency without reliability is a misleading ranking signal.","Archive depth: every 5 minutes we issue `eth_getBalance` at (head − depth) for depths from Geth's default pruned cap up to 5M blocks, exposing which free endpoints actually serve historical state.","This page is part of the per-chain RPC cluster derived from the cross-chain [rpc-capabilities](https://openchainbench.com/benchmarks/rpc-capabilities) benchmark; the identical harness, methodology and exclusion rules apply on every chain.","Chain scope: every query on this page is pinned to chain=\"soneium\". Provider coverage: 4 no-key endpoints (PublicNode, dRPC, Tenderly, Soneium). Exclusions follow the cluster-wide rules documented on the parent benchmark."],"findings":["Soneium currently leads free Soneium RPC at 14 ms (`eth_getBlockByNumber` p50, 24h) across 4 measured providers.","The official `rpc.soneium.org` is one of the expansion's two exceptions to the dRPC sweep: ~17 ms on the 3-region average with fresh heads throughout, a chain operator that fronts its RPC properly across regions instead of pointing DNS at one box.","dRPC (170 ms) still posts its trademark three-region consistency here; it just meets the rare official endpoint built on the same playbook.","Tenderly closes the pattern the expansion documents everywhere: roughly 330 ms flat in all three regions on Soneium, single-origin routing behind a gateway that is competitive on the majors."],"source":"https://github.com/ChainBench/OpenChainBench/tree/main/harnesses/rpc-capabilities","dimensions":{"region":[{"value":"all","label":"All regions"},{"value":"us-east","label":"US-East"},{"value":"eu-west","label":"EU-West"},{"value":"sgp","label":"Singapore"}]},"results":[{"name":"PublicNode","slug":"publicnode","tag":"Allnodes-operated, 70+ chains, archive on most","ms":{"p50":93.5,"p90":241.267,"p99":661,"mean":131.265},"successRate":100,"sampleSize":4318.75,"query":"avg(ocb:rpc_latency_milliseconds:p50_24h{provider=\"publicnode\", chain=\"soneium\"})","formula":"50th percentile over 24h of client-side round-trip latency (ms) for a single `eth_getBlockByNumber` POST sent every 60s from 3 regions (us-east + eu-west + sgp) to PublicNode's no-key Soneium endpoint.","availability":"live","meta":{"observedAt":1784679902290}},{"name":"dRPC","slug":"drpc","tag":"Decentralized RPC mesh, consensus-checked","ms":{"p50":170,"p90":233,"p99":534.48,"mean":194.057},"successRate":84.0278,"sampleSize":4320.75,"query":"avg(ocb:rpc_latency_milliseconds:p50_24h{provider=\"drpc\", chain=\"soneium\"})","formula":"50th percentile over 24h of client-side round-trip latency (ms) for a single `eth_getBlockByNumber` POST sent every 60s from 3 regions (us-east + eu-west + sgp) to dRPC's no-key Soneium endpoint.","availability":"live","meta":{"observedAt":1784679902290}},{"name":"Tenderly","slug":"tenderly","tag":"Multi-chain public gateway, no key","ms":{"p50":330,"p90":341.333,"p99":360.333,"mean":331.54},"successRate":100,"sampleSize":4318.75,"query":"avg(ocb:rpc_latency_milliseconds:p50_24h{provider=\"tenderly\", chain=\"soneium\"})","formula":"50th percentile over 24h of client-side round-trip latency (ms) for a single `eth_getBlockByNumber` POST sent every 60s from 3 regions (us-east + eu-west + sgp) to Tenderly's no-key Soneium endpoint.","availability":"live","meta":{"observedAt":1784679902290}},{"name":"Soneium","slug":"soneium-official","tag":"Sony Block Solutions public RPC, Soneium mainnet only","ms":{"p50":14,"p90":18.6667,"p99":27.6667,"mean":16.0278},"successRate":100,"sampleSize":4319.75,"query":"avg(ocb:rpc_latency_milliseconds:p50_24h{provider=\"soneium-official\", chain=\"soneium\"})","formula":"50th percentile over 24h of client-side round-trip latency (ms) for a single `eth_getBlockByNumber` POST sent every 60s from 3 regions (us-east + eu-west + sgp) to Soneium's no-key Soneium 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portfolio API chain coverage, listed vs probe-verified","seoTitle":"Best wallet portfolio API chains 2026","seoDescription":"Wallet portfolio APIs ranked by chains that actually return balances, probe-verified daily against the vendors' own claims.","seoIntro":"This benchmark measures how many blockchains each wallet-portfolio\nAPI actually covers, not how many it claims. Every provider gets the\nsame daily probe. one call to its own machine-readable chain catalog\n(the listed count) and a portfolio sweep over a shared set of public\ntest addresses that hold balances on many chains, one per non-EVM\nchain plus one EVM address (the probe-verified count). A chain is verified when the API returns a\nbalance worth more than $1 on it. The gap between the two numbers is\nthe story. a chain in a marketing list is not the same as a chain\nwhere the balance indexer actually works. On the first full sweep of\nthe shared address set (2026-07-06), CoinStats demonstrated 94 of\nits 151 listed chains, Mobula 27 of 79 and Zerion 17 of 65.\nVerified is an address-dependent lower bound. the test wallets do\nnot hold assets on every chain in existence, so a provider can cover\nmore chains than the probe observes, but every verified chain is one\nwhere the API demonstrably returned real balances today.\n","faq":[{"q":"Which portfolio API supports the most blockchains?","a":"CoinStats currently leads at 135 probe-verified chains across 4 measured providers. Probe-verified means the provider's portfolio API returned a balance above $1 on that chain for identical public test addresses within the last daily cycle, so the leaderboard reflects chains where the balance indexer demonstrably works, not chains claimed in a catalog."},{"q":"Why publish both a listed and a verified chain count?","a":"Because they answer different questions. listed is what the vendor self-declares through its own catalog endpoint and can be inflated by chains where indexing is partial or broken. verified is what the probe actually observed and is a conservative, address-dependent lower bound. On the first full sweep of the shared address set, CoinStats listed 151 chains and verified 94, Mobula 79 and 27, Zerion 65 and 17. Reading both numbers together tells you how much weight a vendor's own list deserves."},{"q":"What does the probed column add?","a":"It splits the gap between listed and verified into its two honest parts. probed counts chains tested with an address that demonstrably holds a real balance per the chain's own explorer, where the API gave a definitive answer; a failed probe only counts when the target chain is in the vendor's own catalog, so nobody is debited for chains they never claimed. So verified/probed is the indexer's real success rate on testable chains, and listed minus probed is the residue where no funded public address could be sourced, about which the bench stays silent. A chain that is probed but not verified is a documented indexer gap, not a guess."},{"q":"Why are Zapper, DeBank, Dune and Codex not in the cohort?","a":"The cohort is limited to providers with free, reproducible API access so anyone can rerun the harness and get the same numbers. Zapper is excluded for now pending an API key. DeBank offers no free API tier. Codex gates its balances query behind the paid Growth plan. Dune's Sim API, the natural candidate for its wallet balances product, is sunsetting on August 1, 2026 per its own site banner, so it cannot be measured on an ongoing basis. Expansions are welcome; the harness already ships a Zapper source that activates as soon as a key is configured."},{"q":"How is Moralis measured without a chain catalog endpoint?","a":"Moralis exposes no machine-readable chain catalog and every wallet call takes an explicit chain list, so its listed count carries listed_source=probe: the chains its net-worth endpoint accepted this cycle out of a candidate list mirroring its own supported-chains documentation, plus Solana through its separate gateway. That makes Moralis's listed a floor on its acknowledged surface rather than a self-declared claim, and the label is published so the distinction stays visible."},{"q":"Does a low verified count mean the provider is bad?","a":"No. verified is a lower bound that depends on where the shared test addresses hold balances. A provider can support chains the probe never observes, and Zerion's probe is EVM-only because its portfolio endpoint takes a single EVM address. What a low count does tell you is how much of the vendor's self-declared list was demonstrable with real addresses through the public API today."},{"q":"Why do the numbers move by a chain or two between days?","a":"Three benign reasons. The test addresses are live wallets: a balance can cross the $1 threshold in either direction. Some vendors compute portfolios on demand and a cold-cache wallet can time out one cycle and answer the next; timeouts are recorded as errors, never as failures, so they cost at most one cycle of visibility. And vendor catalogs themselves drift as chains get added or retired. Structural changes look like steps that persist across cycles; single-cycle wiggles of one or two chains are noise by design."},{"q":"How often are the counts refreshed?","a":"Once per day. Probes spend paid API credits, so the cadence is deliberately conservative, roughly 150 spaced calls across the whole cohort per cycle. A failed cycle leaves the provider's previous gauge values in place and buckets the failure in portfolio_probe_errors_total, so a temporary outage never silently zeroes a provider's row."}],"subtitle":"Chains where each wallet-portfolio API actually returns balances for identical public test addresses, probed daily and published next to the vendor's own self-declared chain list.","category":"Aggregators","status":"live","editorialStatus":"live","metric":"Chain coverage","unit":"count","higherIsBetter":true,"abstract":"We benchmark wallet-portfolio APIs on two numbers per provider, once\nper day. listed, the chain count the vendor self-declares through its\nown catalog endpoint, and probe-verified, the number of distinct\nchains where the vendor's portfolio API returned a balance above $1\nfor canonical public test addresses (a Binance-labeled EVM hot\nwallet plus fixed Solana and Bitcoin addresses, identical across\nproviders). Both numbers are published side by side because\nself-declared lists can be inflated while verified is a conservative,\naddress-dependent lower bound. The cohort is currently limited to\nproviders with free, reproducible API access; expansions are welcome.\n","methodology":["Identical test addresses for every provider: one shared EVM address (0xF977814e90dA44bFA03b6295A0616a897441aceC, Binance 8 hot wallet, covers every EVM chain in one sweep) plus a pinned set of ~63 public high-balance non-EVM addresses, one per chain (exchange cold wallets, protocol treasuries, Cosmos community-pool accounts). The full list and sourcing rules live in the harness source; every provider that accepts an address type receives the identical address.","Verified threshold: a chain counts when the returned balance value exceeds $1; when a response carries no USD pricing at all, a native token amount above 0 counts instead. This filters dust and spam-token noise.","listed = chains the vendor self-declares via its own machine-readable catalog endpoint. verified = chains where the probe observed a real balance. The two are never mixed; both are published because self-declared lists can be inflated and verified is an address-dependent lower bound.","probed = chains tested with an address known to hold a real balance (validated against the chain's own explorer when pinned) where the API answered definitively. A miss only counts against a vendor when the wallet's target chain appears in the vendor's OWN catalog, so nobody is debited for chains they never claimed. verified/probed is the demonstrable indexer success rate on the vendor's claimed surface; listed minus probed is the residue no funded public address could be sourced for.","Providers without a catalog endpoint (Moralis) publish listed with listed_source=probe: the count of chains their portfolio API acknowledged during the probe, bounded by the harness candidate list. It is a floor on the vendor's surface, not a self-declared claim, and the metric label keeps the two comparable but distinguishable.","Invocation policy: every vendor is probed through its most precise documented invocation, never a convenience shortcut. CoinStats gets one call per catalog connectionId, Mobula gets explicit blockchains= targeting over its own catalog, Zerion gets one portfolio call per EVM probe wallet (45s timeout: it computes on demand), Moralis gets one net-worth call per accepted chain. A vendor is never penalized for a weakness of the probe protocol.","Cadence: one probe cycle every one to two days. Multi-chain sweeps space calls by 1.5s so no vendor sees a burst; per-call timeout is 20s (45s for vendors that compute on demand) with a single retry on 5xx or timeout only, never on 4xx. CoinStats long-tail probes rerun every ~9 days to respect its credit budget; its catalog and EVM sweep refresh every cycle and cached long-tail results are merged, so published numbers stay complete each cycle.","Failures (timeouts, rate limits, auth errors) leave the provider's previous gauges in place and increment portfolio_probe_errors_total, so a temporary outage does not silently drop a provider off the leaderboard.","Cohort limited to providers with free, reproducible API access; expansions welcome. Zapper is excluded pending an API key, DeBank offers no free tier, and Codex gates its balances query behind the paid Growth plan.","Source: https://github.com/ChainBench/OpenChainBench/tree/main/harnesses/portfolio-chain-coverage"],"findings":["CoinStats currently leads at 135 probe-verified chains across 4 measured providers. The number counts chains where the portfolio API returned a balance above $1 for the shared test addresses today, not chains that appear in a catalog or on a marketing page.","CoinStats verifies 135 chains against a self-declared catalog of 151, notably more than the 120+ its marketing quotes. No vendor demonstrates its full list: on the first full sweep CoinStats verified about two thirds of its catalog, Mobula and Zerion roughly a third and a quarter of theirs.","Mobula verifies 65 chains and Zerion verifies 42. Zerion's probe is EVM-only by API design (its portfolio endpoint takes one EVM address), while Mobula and CoinStats also accept the Solana and Bitcoin test addresses, which shapes what each verified count can include.","Verified is a lower bound, not an exhaustive coverage audit. The test wallets hold balances on many chains but not all, so a provider can support chains the probe never observes. What the number guarantees is that every verified chain returned real balances for a real address through the public API today."],"source":"https://github.com/ChainBench/OpenChainBench/tree/main/harnesses/portfolio-chain-coverage","ledgerColumns":[{"label":"Probe-verified chains","slot":"p50","unit":"count"},{"label":"Probed chains","slot":"p99","unit":"count"},{"label":"Listed chains","slot":"p90","unit":"count"}],"results":[{"name":"CoinStats","slug":"coinstats","tag":"Portfolio + market data","ms":{"p50":135,"p90":151,"p99":137,"mean":135},"successRate":100,"sampleSize":135,"query":"last_over_time(portfolio_chains_verified{provider=\"coinstats\"}[48h])","formula":"Distinct chains where CoinStats returned a balance above $1 for the shared test addresses (EVM in one call, Solana and Bitcoin via connectionId probes); listed is the row count of its /wallet/blockchains catalog. Probed daily.","availability":"live","meta":{"observedAt":1784679895140}},{"name":"Zerion","slug":"zerion","tag":"Wallet + portfolio API","ms":{"p50":42,"p90":65,"p99":48,"mean":42},"successRate":100,"sampleSize":42,"query":"last_over_time(portfolio_chains_verified{provider=\"zerion\"}[48h])","formula":"Distinct chains with more than $1 in Zerion's positions_distribution_by_chain for the shared EVM test address (EVM only by API design); listed is the chain count of its /v1/chains/ catalog. Probed daily.","availability":"live","meta":{"observedAt":1784679895140}},{"name":"Mobula","slug":"mobula","tag":"Aggregator + intent layer","ms":{"p50":65,"p90":80,"p99":70,"mean":65},"successRate":100,"sampleSize":65,"query":"last_over_time(portfolio_chains_verified{provider=\"mobula\"}[48h])","formula":"Distinct cross_chain_balances keys above $1 from /wallet/portfolio, each wallet explicitly targeted via blockchains= over Mobula's own catalog; listed is its /api/1/blockchains count. Probed daily.","availability":"live","meta":{"observedAt":1784679895140}},{"name":"Moralis","slug":"moralis","tag":"Web3 data API","ms":{"p50":15,"p90":17,"p99":15,"mean":15},"successRate":100,"sampleSize":15,"query":"last_over_time(portfolio_chains_verified{provider=\"moralis\"}[48h])","formula":"Distinct chains where Moralis net-worth returned more than $1 for the shared EVM address, plus a Solana gateway probe; no catalog endpoint, so listed counts chains its API accepted (listed_source=probe). Probed daily.","availability":"live","meta":{"observedAt":1784679895140}}],"extras":{"series24h":{"coinstats":[135,135,135,135,135,135,135,135,135,135,135,135,135,135,135,135,135,135,135,135,135,135,135,135,135,135,135,135,135,135,135,135,135,135,135,135,135,135,135,135,135,135,135,135,135,135,135,135,135,135,135,135,135,135,135,135,135,135,135,135,135,135,135,135,135,135,135,135,135,135,135,135,135],"zerion":[42,42,42,42,42,42,42,42,42,42,42,42,42,42,42,42,42,42,42,42,42,42,42,42,42,42,42,42,42,42,42,42,42,42,42,42,42,42,42,42,42,42,42,42,42,42,42,42,42,42,42,42,42,42,42,42,42,42,42,42,42,42,42,42,42,42,42,42,42,42,42,42,42],"mobula":[65,65,65,65,65,65,65,65,65,65,65,65,65,65,65,65,65,65,65,65,65,65,65,65,65,65,65,65,65,65,65,65,65,65,65,65,65,65,65,65,65,65,65,65,65,65,65,65,65,65,65,65,65,65,65,65,65,65,65,65,65,65,65,65,65,65,65,65,65,65,65,65,65],"moralis":[15,15,15,15,15,15,15,15,15,15,15,15,15,15,15,15,15,15,15,15,15,15,15,15,15,15,15,15,15,15,15,15,15,15,15,15,15,15,15,15,15,15,15,15,15,15,15,15,15,15,15,15,15,15,15,15,15,15,15,15,15,15,15,15,15,15,15,15,15,15,15,15,15]},"series7d":{"coinstats":[135,135,135,135,135,135,135,135,135,135,135,135,135,135,135,135,135,135,135,135,135,135,135,135,135,135,135,135,135,135,135,135,135,135,135,135,135,135,135,135,135,135,135,135,135,135,135,135,135,135,135,135,135,135,135,135,135,135,135,135,135,135,135,135,135,135,135,135,135,135,135,135,135,135,135,135,135,135,135,135,135,135,135,135,135],"zerion":[42,42,42,42,42,42,42,42,42,42,42,42,42,42,42,42,42,42,42,42,42,42,42,42,42,42,42,42,42,42,42,42,42,42,42,42,42,42,42,42,42,42,42,42,42,42,42,42,42,42,42,42,42,42,42,42,42,42,42,42,42,42,42,42,42,42,42,42,42,42,42,42,42,42,42,42,42,42,42,42,42,42,42,42,42],"mobula":[61,61,61,61,61,61,61,61,61,61,61,61,61,61,61,61,61,61,61,61,61,61,61,61,60,60,60,60,60,60,60,60,60,60,60,60,60,60,60,60,60,60,60,60,60,60,60,60,60,61,61,61,61,61,61,61,61,61,61,61,61,61,61,61,61,61,61,61,61,61,61,61,65,65,65,65,65,65,65,65,65,65,65,65,65],"moralis":[15,15,15,15,15,15,15,15,15,15,15,15,15,15,15,15,15,15,15,15,15,15,15,15,15,15,15,15,15,15,15,15,15,15,15,15,15,15,15,15,15,15,15,15,15,15,15,15,15,15,15,15,15,15,15,15,15,15,15,15,15,15,15,15,15,15,15,15,15,15,15,15,15,15,15,15,15,15,15,15,15,15,15,15,15]},"series30d":{"coinstats":[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,134,null,null,134,134,134,134,136,136,136,107,107,135,135,135,135,135,135,135,135,135,135,135,135,135,135,135,135,135,135,135],"zerion":[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,36,null,null,42,42,42,42,42,42,42,42,42,42,42,42,42,42,42,42,42,42,42,42,42,42,42,42,42,42,42,42],"mobula":[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,60,null,null,61,61,61,61,63,63,63,61,61,61,61,61,61,61,61,61,61,60,60,60,60,60,61,61,61,65,65,65],"moralis":[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,15,null,null,15,15,15,15,15,15,15,15,15,15,15,15,15,15,15,15,15,15,15,15,15,15,15,15,15,15,15,15]},"regions":{}},"sampleSize":257,"lastRunAt":"2026-07-22T00:24:46.187Z","dataAsOf":1784679895140},{"slug":"explorer-chain-coverage","number":"068","title":"Block explorer chain coverage, registered vs fresh-indexed","seoTitle":"Best block explorer API chains 2026","seoDescription":"Block explorer APIs ranked by chains with a working indexer, probe-verified daily against each vendor's own registry. Blockscout, Etherscan, Routescan, Blockchair.","seoIntro":"This benchmark measures how many blockchains each block explorer\nfamily actually serves, not how many its marketing page claims.\nEvery family gets the same daily probe. one call to its own\nmachine-readable registry (the registered count) and one freshness\nprobe per registered mainnet, where a chain only counts as verified\nwhen the latest indexed block is younger than 60 minutes. A\nreachable web server with a stalled indexer does not count. Raw\nchain counts reward hosting ghost rollups, so a third number is\npublished alongside. coverage of the 50 most economically active\nmainnets, which is the question integrators actually ask. Marketing\nclaims in this space disagree wildly, the same vendor is cited at\n100+, 800+ or 3000+ chains depending on the page, and no other\nsource verifies any of these numbers on a live cadence.\n","faq":[{"q":"Which block explorer supports the most blockchains?","a":"Blockscout currently leads at 188 fresh-indexed mainnet chains across 4 measured families. Fresh-indexed means the explorer's own API returned a latest block younger than 60 minutes on that chain within the last daily cycle, so the leaderboard reflects working indexers rather than registry entries or marketing claims, which for the same vendor range from 100+ to 3000+ chains depending on the page."},{"q":"Why three numbers per explorer?","a":"Because they answer different questions. registered is what the vendor self-declares through its own machine-readable surface and rots as chains die or migrate. verified is what the daily probe demonstrated: a latest indexed block younger than 60 minutes. top-50 restricts the same gate to the 50 most economically active mainnets, because raw chain counts reward hosting ghost rollups and the integrator question is whether the chains people actually use are covered."},{"q":"Does a Blockscout instance run by a chain team count for Blockscout?","a":"Yes, with the distinction kept auditable. Blockscout is open source and most instances are operated by chain teams; the registry's hostedBy field is preserved by the harness so anyone can split vendor-run from chain-run. The count measures the software family's working footprint, which is exactly the claim being verified, and the same rule benefits every family equally: Routescan and Etherscan run their own indexers and get credit for every chain those serve."},{"q":"Why is a reachable explorer not automatically verified?","a":"Because the failure mode that matters is the silent one: a web server that answers 200 while its indexer stalled hours or weeks ago. The probe reads the timestamp of the latest indexed block from each family's own API and only counts chains where it is younger than 60 minutes. The window tolerates slow block producers while still catching stalled pipelines, and it can be tightened as the cohort matures."},{"q":"How often are the counts refreshed?","a":"Once per day, roughly 600 spaced calls across the cohort, all on free surfaces. A failed or quota-truncated cycle publishes nothing and the previous values carry forward, so a temporary outage never zeroes a family's row."}],"subtitle":"Chains where each block explorer family serves a working indexer, probed daily against the vendor's own machine-readable registry, with a separate view over the 50 most active mainnets.","category":"Explorers","status":"live","editorialStatus":"live","metric":"Chain coverage","unit":"count","higherIsBetter":true,"abstract":"We benchmark block explorer APIs on three numbers per family, once\nper day. registered, the mainnet count the vendor self-declares\nthrough a machine-readable surface (Chainscout registry, Etherscan\nchainlist, Routescan blockchains endpoint), verified, the number of\nthose chains whose explorer API returned a latest indexed block\nyounger than 60 minutes, and top-50, how many of the 50 most active\nmainnets pass the same freshness gate. Registries rot and raw counts\ncan be inflated by ghost chains; the three numbers together separate\nthe claim, the catalog, and the working product. The cohort is\nlimited to explorers with free, reproducible API access.\n","methodology":["registered = mainnet chains the vendor self-declares via a machine-readable surface: Blockscout's Chainscout registry, Etherscan's keyless chainlist, Routescan's blockchains endpoint, Blockchair's aggregate stats. Testnets are excluded everywhere; for Etherscan the mainnet set is a pinned chain-id allowlist rather than a name heuristic, and any new unclassified listing is excluded and logged until reviewed, so a devnet can never silently inflate the count.","verified = registered chains whose latest indexed block is younger than 60 minutes at probe time, read from each family's own API (Blockscout /api/v2/blocks, Routescan blocks, Etherscan getblocknobytime against its index, Blockchair best_block_time). A 200 from a stalled indexer does not count. Quiet chains get a second chance: a block older than 60 minutes still passes when its age is under 10x the chain's own average block time, so on-demand rollups are not punished for being idle.","A freshness ladder is measured from the same probes: verified (60 minutes) and verified_strict (5 minutes). Families converge at the loose rung and diverge at the tight one, which separates real-time indexers from batch pipelines at zero extra probing cost.","Vantage and denominators, disclosed: probes run from one EU vantage once per day, so a single transient network fault can cost a chain one cycle (publish-then-leave limits the blast radius). The top-50 list contains 17 non-EVM chains that EVM-only families structurally cannot serve; their per-family ceilings are roughly 33 of 50 for Blockscout, Etherscan and Routescan, and the raw counts should be read against those ceilings.","top-50 = of the 50 most economically active mainnets (pinned quarterly from a DefiLlama TVL + fees blend, list in the harness source), how many pass the same freshness gate on this family. Raw chain counts reward hosting ghost rollups; this column answers what integrators actually ask and is the one where breadth leaders can lose.","Operator attribution: many Blockscout instances are run by the chain teams themselves, not by Blockscout. The registry's hostedBy field is preserved in the harness so the distinction stays auditable; the count measures the software family's working footprint, which is the claim its marketing makes.","Cadence: one probe cycle per day, ~600 spaced upstream calls, every surface free. Blockscout's sweep talks to hundreds of distinct hosts through a small worker pool; single-host families are spaced 600ms. Quota-truncated cycles publish nothing. Every family is probed keyless except Etherscan's freshness calls, which use a free key; its registered count stays keyless.","Source: https://github.com/ChainBench/OpenChainBench/tree/main/harnesses/explorer-chain-coverage"],"findings":["Blockscout currently serves 188 fresh-indexed mainnet chains across 4 measured explorer families. Verified means the family's own API returned a block younger than 60 minutes on that chain today, not that a chain appears in a registry or on a pricing page.","Blockscout verifies 188 chains against {{p90:blockscout}} registered in its own Chainscout registry. The gap is registry rot made visible: dead rollups, migrated chains and stalled indexers that a raw instance count would still be advertising.","Etherscan verifies 30 chains. Its free tier no longer covers several of its highest-activity chains, which the top-50 column prices in: breadth and free access are different axes, and this bench publishes both.","The top-50 column is the anti-inflation view. A family can lead the raw count by hosting long-tail chains nobody uses and still trail where integrators live; reading the two columns together separates footprint from product."],"source":"https://github.com/ChainBench/OpenChainBench/tree/main/harnesses/explorer-chain-coverage","ledgerColumns":[{"label":"Fresh-indexed chains","slot":"p50","unit":"count"},{"label":"Top-50 covered","slot":"p99","unit":"count"},{"label":"Registered chains","slot":"p90","unit":"count"}],"results":[{"name":"Blockscout","slug":"blockscout","tag":"Open-source explorer","ms":{"p50":188,"p90":459,"p99":17,"mean":188},"successRate":100,"sampleSize":188,"query":"last_over_time(explorer_chains_verified{provider=\"blockscout\"}[48h])","formula":"Mainnets in its Chainscout registry whose instance returned a latest indexed block younger than 60 minutes; registered is the registry's mainnet count. Probed daily, keyless.","availability":"live","meta":{"observedAt":1784679868085}},{"name":"Etherscan","slug":"etherscan","tag":"Multichain explorer API","ms":{"p50":30,"p90":34,"p99":17,"mean":30},"successRate":100,"sampleSize":30,"query":"last_over_time(explorer_chains_verified{provider=\"etherscan\"}[48h])","formula":"V2 chainlist mainnets where getblocknobytime found an indexed block in the last 60 minutes; registered is the keyless chainlist mainnet count. Probed daily with a free key.","availability":"live","meta":{"observedAt":1784679868085}},{"name":"Routescan","slug":"routescan","tag":"Multichain explorer","ms":{"p50":29,"p90":36,"p99":6,"mean":29},"successRate":100,"sampleSize":29,"query":"last_over_time(explorer_chains_verified{provider=\"routescan\"}[48h])","formula":"Chains in its public blockchains endpoint whose blocks API returned a latest block younger than 60 minutes. Fully keyless. Probed daily.","availability":"live","meta":{"observedAt":1784679868085}},{"name":"Blockchair","slug":"blockchair","tag":"Multichain explorer","ms":{"p50":11,"p90":14,"p99":5,"mean":11},"successRate":100,"sampleSize":11,"query":"last_over_time(explorer_chains_verified{provider=\"blockchair\"}[48h])","formula":"Chains in its aggregate stats whose best_block_time is younger than 60 minutes. Fully keyless. Probed daily.","availability":"live","meta":{"observedAt":1784679868085}}],"extras":{"series24h":{"blockscout":[188,188,188,188,188,188,188,188,188,188,188,188,188,188,188,188,188,188,188,188,188,188,188,188,188,188,188,188,188,188,188,188,188,188,188,188,188,188,188,188,188,188,188,188,188,188,188,188,188,188,188,188,188,188,188,188,188,188,188,188,188,188,188,188,188,188,188,188,188,188,188,188,188],"etherscan":[30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30],"routescan":[32,32,32,32,32,32,32,32,32,32,32,32,32,32,32,32,32,32,32,32,32,32,32,32,32,32,32,32,32,32,32,32,32,32,32,32,32,32,32,32,32,32,32,32,32,32,32,32,32,32,32,32,32,32,32,32,32,32,32,32,32,32,32,32,32,32,32,32,32,32,32,32,29],"blockchair":[11,11,11,11,11,11,11,11,11,11,11,11,11,11,11,11,11,11,11,11,11,11,11,11,11,11,11,11,11,11,11,11,11,11,11,11,11,11,11,11,11,11,11,11,11,11,11,11,11,11,11,11,11,11,11,11,11,11,11,11,11,11,11,11,11,11,11,11,11,11,11,11,11]},"series7d":{"blockscout":[187,187,187,187,187,187,187,187,187,187,187,187,188,188,188,188,188,188,188,188,188,188,188,188,187,187,187,187,187,187,187,187,187,187,187,187,186,186,186,186,186,186,186,186,186,186,186,186,187,187,187,187,187,187,187,187,187,187,187,187,188,188,188,188,188,188,188,188,188,188,188,188,188,188,188,188,188,188,188,188,188,188,188,188,188],"etherscan":[30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30],"routescan":[32,32,32,32,32,32,32,32,32,32,32,32,32,32,32,32,32,32,32,32,32,32,32,32,31,31,31,31,31,31,31,31,31,31,31,31,31,31,31,31,31,31,31,31,31,31,31,31,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,32,32,32,32,32,32,32,32,32,32,32,32,29],"blockchair":[11,11,11,11,11,11,11,11,11,11,11,11,11,11,11,11,11,11,11,11,11,11,11,11,11,11,11,11,11,11,11,11,11,11,11,11,11,11,11,11,11,11,11,11,11,11,11,11,9,9,9,9,9,9,9,9,9,9,9,9,10,10,10,10,10,10,10,10,10,10,10,10,11,11,11,11,11,11,11,11,11,11,11,11,11]},"series30d":{"blockscout":[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,195,195,192,192,194,194,192,192,189,189,188,188,188,188,187,187,188,188,187,187,186,186,187,187,188,188,188,188,188],"etherscan":[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30],"routescan":[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,32,32,31,31,31,31,32,32,31,31,32,32,31,31,32,32,32,32,31,31,31,31,30,30,30,30,32,32,29],"blockchair":[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,11,11,11,11,11,11,11,11,9,9,11,11,11,11,11,11,11,11,11,11,11,11,9,9,10,10,11,11,11]},"regions":{}},"sampleSize":258,"lastRunAt":"2026-07-22T00:24:13.093Z","dataAsOf":1784679868085},{"slug":"rpc-keyed-latency","number":"069","title":"Fastest RPC API with a free key. Alchemy, Infura, QuickNode, Ankr, Chainstack, Helius","seoTitle":"Fastest RPC API with a free key 2026: Alchemy, Infura, QuickNode compared","seoDescription":"Fastest RPC API with a free key: the keyed developer tiers of Alchemy, Infura, QuickNode, Ankr, Chainstack and Helius measured live every 60s from 3 regions.","seoIntro":"This bench ranks the keyed developer API tiers: the RPC you get\nwith a free API key after signup, as opposed to the no-key public\nendpoints ranked on the companion\n[rpc-capabilities](/benchmarks/rpc-capabilities) bench. Every dapp\nthat outgrows the public RPCs asks the same question next. which\nfree key do I sign up for. Alchemy, Infura, QuickNode, Ankr,\nChainstack and Helius all hand out a free API key with a\nmonthly quota; none of them publish comparable latency numbers.\nThis benchmark probes each provider's free-tier endpoint with the\nsame anti-cache call used on our no-key bench\n(`eth_getBlockByNumber(\"latest\")` with a rotating request id;\n`getSlot` on Solana), every 60 seconds, from us-east, eu-west and\nSingapore, staying far inside every provider's free quota. Chains\ncovered. Ethereum (5 providers), Base + Arbitrum + BNB + Polygon\n(Alchemy, Infura, Ankr, Chainstack), Optimism (Alchemy, Infura,\nChainstack, QuickNode), Solana (Alchemy, Helius, Chainstack). Current leaders per the live data on this page.\nThe companion question, which RPC works with no signup at all, is\nanswered by the [rpc-capabilities](/benchmarks/rpc-capabilities)\nbench with the identical methodology, so the keyed premium (or its\nabsence) is directly readable by comparing the two pages.\n","faq":[{"q":"Which free RPC API tier is fastest in 2026?","a":"Per chain, per the live leaderboard above: on Ethereum Alchemy at 8 ms (p50 over 24h, averaged across us-east, eu-west and Singapore probes). The ranking re-sorts continuously against fresh Prometheus samples. Switch the chain tab for the network your product runs on, free-tier chain coverage differs per provider and that difference is part of the answer."},{"q":"How is this different from the no-key public RPC benchmark?","a":"Same probe, same classification, same regions, different tier. The [rpc-capabilities](/benchmarks/rpc-capabilities) bench measures endpoints that work with zero signup; this page measures what a free API key gets you after a five-minute signup (Alchemy, Infura, Chainstack, Ankr, Helius). Comparing the two pages answers whether the signup buys you anything on latency, and on some chains the no-key tier is genuinely competitive."},{"q":"Do the probes stay inside each provider's free quota?","a":"Yes, by design. One probe per 60 seconds per chain per region ≈ 131k requests/month/chain, against audited free budgets of 1M to 3M requests/month. A quota guard additionally pauses probing at 90% of each region's monthly budget, so the bench can never exhaust a key. Sample sizes per cell are published (`sample_size`), so the statistical cost of the slower cadence is visible."},{"q":"Why are Tenderly, Moralis and GetBlock missing?","a":"Quota math or plan scope, never editorial. Tenderly excludes Node RPC from its free plan. GetBlock's 50k CU/day cannot sustain one chain at probe cadence. Moralis caps the free plan at 2 node endpoints. Blast API shut down in October 2025. QuickNode is in the cohort on BNB and Optimism via shared endpoints with the plan disclosed in the methodology, because its free plan issues a single endpoint on one chain. Providers can enter the cohort the day their free plan clears the bar, and the bar is published in the methodology."},{"q":"Is the free tier representative of a provider's paid performance?","a":"No, and this page does not claim it is. Several providers route free-tier traffic to shared or separate infrastructure pools. What this bench measures is the free-tier experience: the latency and reliability a developer actually gets from the key handed out at signup. Paid-tier SLAs, dedicated clusters and websocket performance are out of scope."}],"subtitle":"HTTP round-trip latency for eth_getBlockByNumber against keyed developer API tiers (Alchemy, Infura, QuickNode, Ankr, Chainstack, Helius), the signup-gated free plans, probed every 60 seconds from 3 regions.","category":"RPCs","status":"live","editorialStatus":"live","metric":"RPC latency","unit":"ms","higherIsBetter":false,"abstract":"We measure the round-trip latency of a single, identical RPC call\nagainst the signup-gated free tier of every major keyed RPC\nprovider. The probe is the same anti-cache call as the no-key\nbench, so the two tiers are directly comparable: full latest-header\nfetch with a rotating JSON-RPC id on EVM chains, `getSlot` at\nprocessed commitment on Solana. Responses are classified ok /\nhttp_err / jsonrpc_err / stale / timeout against a cross-provider\ntip, and a per-provider quota guard pauses probing at 90% of each\nregion's monthly budget so a free key can never be exhausted by the\nbench itself. Free tier means the entry plan without a credit\ncard: what a developer gets in the first five minutes after signup,\nnot the provider's paid infrastructure.\n","methodology":["Cadence: every 60 seconds per (provider, chain) pair (Infura: every 180 seconds; its free tier's real daily credit budget sits below the documented 3M and returned daily 402 brownouts at 60s, so the cadence is reduced and disclosed, sample sizes stay published), from each of 3 probe regions (us-east, eu-west, sgp), 4× slower than the no-key bench because keyed free tiers meter monthly quotas. Headline p50/p90/p99 aggregate across regions via Prometheus `avg(quantile_over_time(...))`.","Payload: identical to the no-key bench. EVM: `{\"jsonrpc\":\"2.0\",\"id\":<rotating>,\"method\":\"eth_getBlockByNumber\",\"params\":[\"latest\",false]}`. Solana: `getSlot` at processed commitment. Non-cacheable by design: the rotating id defeats body-keyed edge caches.","Authentication: each provider's standard free-tier key, obtained via normal signup, no credit card, no sales contact. Keys live in env vars on the probe services and never in the repo. Endpoint shapes: key-in-path (Alchemy `/v2/<key>`, Infura `/v3/<key>`, Chainstack, Ankr) or query param (Helius `?api-key=`).","Quota guard: each region gets 1/3 of a provider's audited monthly free quota; probing pauses at 90% of that budget until calendar-month rollover (`rpc_keyed_quota_used_ratio`, `rpc_call_total{result=\"quota_paused\"}`). Budgets target ≤2/3 of the real quota, so the bench can never exhaust a key.","Call-result classification: `ok` (HTTP 200 + usable result), `http_err`, `jsonrpc_err` (HTTP 200 carrying an error body), `stale` (more than 20 blocks / 300 slots behind the cross-provider tip), `timeout`. Latency is recorded only for `ok` responses.","Cohort: Alchemy (6 EVM + Solana), Infura / MetaMask Developer (6 EVM), Ankr (5 EVM; Optimism pending chain enablement on the key), Chainstack (6 EVM + Solana via Global Nodes, see plan disclosure below), Helius (Solana only), QuickNode (BNB + Optimism, see plan disclosure below). Free-tier scope differences are disclosed, not hidden: a provider missing from a chain tab means its free tier does not cover that chain (or caps the node count), which is itself a finding.","Excluded by design: Tenderly (Node RPC excluded from the free plan), GetBlock (50k CU/day cannot sustain even one chain at probe cadence), Moralis (free plan capped at 2 node endpoints), Blast API (shut down Oct 2025). Each exclusion is quota math or plan scope, never editorial.","Plan disclosure: Alchemy, QuickNode and Chainstack are measured through standard shared endpoints of paid accounts. Alchemy and QuickNode route free and paid keys to the same shared fleets; Chainstack Global Nodes are the identical anycast product the free plan provides. The paid difference is quota and node count (free Chainstack caps at one node), not the serving infrastructure, so the latency read is representative of both plans.","Fair-play note: free tiers do not necessarily run on the provider's paid-tier infrastructure (e.g. dRPC routes free traffic to a separate provider pool; several providers serve free keys from shared clusters). This page measures exactly what a free signup gets, read it as the free-tier experience, not the provider's ceiling."],"findings":["Ethereum is the only chain where all five EVM-capable providers meet: Alchemy currently leads at 8 ms (p50, 24h).","Alchemy aggregates 6 ms across its 7 covered chains, the widest free-tier footprint in the cohort (6 EVM + Solana on one key).","Infura sits at 314 ms on the cross-chain aggregate. Its 2026 free tier meters 3M credits per day (80 credits per call), the tightest effective budget of the EVM cohort.","Chainstack aggregates 56 ms across 7 chains via Global Nodes, the same anycast product its free plan ships (capped at one node there), measured from a paid org and disclosed as such.","On Solana, Alchemy leads at 6 ms (p50, 24h) between Helius (Solana-native) and Alchemy."],"source":"https://github.com/ChainBench/OpenChainBench/tree/main/harnesses/rpc-keyed-latency","dimensions":{"chain":[{"value":"all","label":"All chains"},{"value":"ethereum","label":"Ethereum"},{"value":"base","label":"Base"},{"value":"arbitrum","label":"Arbitrum"},{"value":"optimism","label":"Optimism"},{"value":"bnb","label":"BNB Chain"},{"value":"polygon","label":"Polygon"},{"value":"solana","label":"Solana"}],"region":[{"value":"all","label":"All regions"},{"value":"us-east","label":"US-East"},{"value":"eu-west","label":"EU-West"},{"value":"sgp","label":"Singapore"}]},"results":[{"name":"Alchemy","slug":"alchemy","tag":"30M CU/mo free, 6 EVM + Solana on one key","ms":{"p50":6.37314,"p90":8.39876,"p99":47.684,"mean":7.96753},"successRate":100,"sampleSize":30241.3,"query":"avg(ocb:rpc_latency_milliseconds:p50_24h{provider=\"alchemy\"})","formula":"50th percentile over 24h of client-side round-trip latency (ms) for the anti-cache probe sent every 60s from 3 regions to Alchemy's free-tier keyed endpoints.","availability":"live","meta":{"observedAt":1784679901192}},{"name":"Infura","slug":"infura","tag":"MetaMask Developer, 3M credits/day, 6 EVM chains","ms":{"p50":313.892,"p90":347.184,"p99":443.689,"mean":323.421},"successRate":99.8148,"sampleSize":8640.5,"query":"avg(ocb:rpc_latency_milliseconds:p50_24h{provider=\"infura\"})","formula":"50th percentile over 24h of client-side round-trip latency (ms) for the anti-cache probe sent every 60s from 3 regions to Infura's free-tier keyed endpoints.","availability":"live","meta":{"observedAt":1784679901192}},{"name":"Ankr","slug":"ankr","tag":"200M credits/mo free, 5 EVM chains measured","ms":{"p50":73.9379,"p90":147.112,"p99":299.944,"mean":94.1318},"successRate":99.9583,"sampleSize":21599.7,"query":"avg(ocb:rpc_latency_milliseconds:p50_24h{provider=\"ankr\"})","formula":"50th percentile over 24h of client-side round-trip latency (ms) for the anti-cache probe sent every 60s from 3 regions to Ankr's free-tier keyed endpoints.","availability":"live","meta":{"observedAt":1784679901192}},{"name":"Chainstack","slug":"chainstack","tag":"Global Nodes on 6 EVM + Solana, plan disclosed","ms":{"p50":56.2039,"p90":96.066,"p99":473.293,"mean":75.5923},"successRate":99.82140000000001,"sampleSize":30240.3,"query":"avg(ocb:rpc_latency_milliseconds:p50_24h{provider=\"chainstack\"})","formula":"50th percentile over 24h of client-side round-trip latency (ms) for the anti-cache probe sent every 60s from 3 regions to Chainstack's free-tier Ethereum Global Node.","availability":"live","meta":{"observedAt":1784679901192}},{"name":"Helius","slug":"helius","tag":"Solana-native, 1M credits/mo free","ms":{"p50":69.684,"p90":79.7226,"p99":122.85,"mean":74.4393},"successRate":100,"sampleSize":4319.75,"query":"avg(ocb:rpc_latency_milliseconds:p50_24h{provider=\"helius\"})","formula":"50th percentile over 24h of client-side round-trip latency (ms) for a `getSlot` probe sent every 60s from 3 regions to Helius's free-tier Solana endpoint.","availability":"live","meta":{"observedAt":1784679901192}},{"name":"QuickNode","slug":"quicknode","tag":"Shared fleet, measured on BNB + Optimism, plan disclosed","ms":{"p50":3.27857,"p90":3.74068,"p99":6.36515,"mean":3.44576},"successRate":100,"sampleSize":8641.5,"query":"avg(ocb:rpc_latency_milliseconds:p50_24h{provider=\"quicknode\"})","formula":"50th percentile over 24h of client-side round-trip latency (ms) for the anti-cache probe sent every 60s from 3 regions to QuickNode shared 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wallet data API. Zerion, Moralis, Allium, GoldRush, Mobula","seoTitle":"Freshest wallet data API 2026","seoDescription":"How fast do wallet APIs index a new transaction? Zerion, Moralis, Allium, GoldRush, Mobula measured live on organic Base transfers, second by second.","seoIntro":"Every wallet app, portfolio tracker and exchange faces the same\nquestion. when a user receives funds, how long before the API my\napp is built on actually shows it. Providers advertise \"real-time\"\nand \"sub-second indexing\"; none publish comparable numbers. This\nbenchmark measures it the only way that cannot be gamed. we pick a\nrandom, organic native transfer from the newest Base block, real\nuser, different wallet every time, and poll each provider's wallet\ntransactions API until the tx hash appears. Because the ground\ntruth is a random real transaction there is no benchmark wallet a\nprovider could special-case, and every measurement is publicly\nre-verifiable from the tx hash. Cohort. Zerion, Moralis, Allium,\nGoldRush (Covalent) and Mobula, all probed with the identical\nschedule from the same host. The timing context matters in 2026.\nDune Sim is sunsetting and SimpleHash is gone, so teams are\nchoosing a replacement wallet data API right now, and freshness is\nthe spec sheet line that separates them.\n","faq":[{"q":"Which wallet data API shows new transactions fastest?","a":"Per the live leaderboard above: Zerion at 1.5 s (p50 over 24h of organic Base transfers). The ranking re-sorts continuously as probe events land every 10 minutes. Check the miss-rate column too, a provider that occasionally never indexes a transfer is worse for a wallet app than one that is a second slower on median."},{"q":"How is indexing freshness measured here?","a":"The harness picks a random organic native transfer from the newest Base block, records T0 when its own RPC observes the block, then polls every provider's wallet transactions endpoint on an identical front-loaded schedule (1s to 120s) until the tx hash appears in the raw response. The lag is the first successful poll. Events a provider has not indexed within 120 seconds count as missed. The full harness is open source and each measurement can be re-verified from the public tx hash."},{"q":"Why use random real transactions instead of a controlled test wallet?","a":"Two reasons. First, integrity: a fixed benchmark wallet could be whitelisted or pre-warmed by a provider; a random real user's transfer, different every event, cannot. Second, realism: cold, never-before-queried addresses exercise any lazy indexing path a provider runs for new wallets, which is exactly what a new user experiences. The trade-off, disclosed in the methodology, is that continuously-queried warm wallets may see lower lags than reported here."},{"q":"Does this benchmark cover more chains than Base?","a":"Not yet. Base was chosen first for its high volume of plain native transfers (dense organic ground truth) and 2-second blocks. The harness is chain-agnostic and additional EVM chains join by adding an RPC endpoint, subject to each provider's free-tier quota budget. Chain coverage itself differs per provider and is part of what teams should evaluate."},{"q":"Why does freshness matter when choosing a wallet API in 2026?","a":"Because the market is consolidating. Dune Sim is sunsetting in August 2026 and SimpleHash shut down in 2025, so many teams are migrating to a new wallet data API right now. Providers advertise real-time indexing but publish no comparable numbers; deposit visibility lag is the difference between a user seeing their funds arrive and a support ticket. This page is the only continuously measured, provider-neutral comparison of that number."}],"subtitle":"Seconds between an organic transfer confirming on Base and the moment each wallet data API first returns it, measured continuously on real user transactions.","category":"Aggregators","status":"live","editorialStatus":"live","metric":"Indexing freshness","unit":"sec","higherIsBetter":false,"abstract":"We measure the visibility lag of wallet data APIs. the time between\nan organic native transfer confirming on Base (T0 = the instant our\nown RPC observes the containing block) and the first poll at which\neach provider's wallet transactions endpoint returns that tx hash.\nOne probe event per 10 minutes; each event uses a fresh random\ntransaction from a fresh block, so wallets are cold and results\ninclude any lazy, on-demand indexing path a provider runs for\nnever-before-queried addresses. Detection is parser-free (tx hash\nsubstring in the raw response), the poll schedule is front-loaded\n(1s to 120s, identical for every provider), and per-provider\nmonthly quota guards keep the probe inside every free tier. An\nevent a provider has not indexed within 120 seconds counts as\nmissed, which feeds the reliability column, because an API that\nnever shows the deposit is worse than a slow one.\n","methodology":["Ground truth: one probe event per 10 minutes. The harness watches new Base blocks through its own RPC and picks one random plain native transfer (value > 0, empty calldata, OP-stack system deposit excluded). T0 is the instant the harness observes the containing block; the same T0 is used for every provider.","Anti-gaming by construction: the measured wallet is a random real user's address, different on every event, so no provider can whitelist or pre-warm a known benchmark wallet. Every measurement is re-verifiable by anyone from the public tx hash.","Poll schedule: each provider's wallet transactions endpoint is polled at 1, 2, 3, 4, 6, 8, 11, 15, 20, 26, 34, 45, 60, 80, 100 and 120 seconds after T0. Reported lag is the first poll at which the response contains the tx hash, an upper bound with resolution equal to the gap between consecutive polls.","Detection is parser-free: the raw response body is scanned for the tx hash substring. Every cohort API returns the hash verbatim, so no provider gains or loses from response schema differences.","Cold wallets by design: because each event uses a never-before-queried address, results include any on-demand indexing path a provider runs for new wallets. This mirrors the experience of a user opening an app on a fresh address, and it is disclosed here because warm, continuously-queried wallets may see lower lags.","Classification: found (lag recorded), missed (not indexed within 120s), api_error (provider errored on every poll of the event). Percentiles are computed from the histogram of found lags over 24h; the miss rate is published alongside because latency without reliability is a misleading ranking signal.","Quota fairness: per-provider monthly call budgets sized to each free tier with headroom, enforced by a guard that pauses probing at 90%. Allium participates in every third event (20k calls/month free tier); all other providers join every event. Sample sizes per provider are published.","Scope: Base mainnet, single probe region. Freshness lags are measured in seconds while cross-region network deltas are milliseconds, so multi-region probing would add cost without changing the ranking; this is revisited if two providers converge within one poll-step of each other."],"findings":["Zerion currently leads at 1.5 s (p50 of found lags, 24h) across organic Base transfers.","Zerion sits at 1.5 s. Early runs showed a bimodal pattern, some events indexed in about a second and others surfacing several seconds later, consistent with a caching layer in front of the wallet endpoint.","Moralis runs at 8.9 s with a notably tight distribution across events.","GoldRush trails at 8.6 s on this probe. Its unified multi-chain schema trades freshness for breadth, a real trade-off teams should weigh explicitly.","Miss rates matter more than medians: an API that fails to show a deposit within two minutes breaks the user flow entirely, so read the reliability column before the latency one."],"source":"https://github.com/ChainBench/OpenChainBench/tree/main/harnesses/indexing-freshness","results":[{"name":"Mobula","slug":"mobula","tag":"Wallet + market data API, 50+ chains","ms":{"p50":1.59504,"p90":3.52,"p99":7.70667,"mean":1.59504},"successRate":100,"sampleSize":144.025,"query":"histogram_quantile(0.5, sum by (le) (increase(indexing_freshness_seconds_histogram_bucket{provider=\"mobula\"}[24h])))","formula":"Median (p50) over 24h of visibility lag in seconds between an organic Base transfer confirming and Mobula's wallet transactions endpoint first returning it, from the shared histogram estimator.","availability":"live","meta":{"observedAt":1784679877962}},{"name":"Zerion","slug":"zerion","tag":"Wallet API behind the Zerion app, 25+ chains","ms":{"p50":1.54167,"p90":1.975,"p99":10.5233,"mean":1.54167},"successRate":100,"sampleSize":143.025,"query":"histogram_quantile(0.5, sum by (le) (increase(indexing_freshness_seconds_histogram_bucket{provider=\"zerion\"}[24h])))","formula":"Median (p50) over 24h of visibility lag in seconds between an organic Base transfer confirming and Zerion's wallet transactions endpoint first returning it, from the shared histogram estimator.","availability":"live","meta":{"observedAt":1784679877962}},{"name":"Moralis","slug":"moralis","tag":"Web3 data API, wallet history across major EVM chains","ms":{"p50":8.875,"p90":18.7,"p99":53.55,"mean":8.875},"successRate":100,"sampleSize":43.0075,"query":"histogram_quantile(0.5, sum by (le) (increase(indexing_freshness_seconds_histogram_bucket{provider=\"moralis\"}[24h])))","formula":"Median (p50) over 24h of visibility lag in seconds between an organic Base transfer confirming and Moralis's wallet history endpoint first returning it, from the shared histogram estimator.","availability":"live","meta":{"observedAt":1784679877962}},{"name":"GoldRush","slug":"goldrush","tag":"Covalent's multi-chain wallet API, unified schema","ms":{"p50":8.61111,"p90":22.55,"p99":106.7,"mean":8.61111},"successRate":100,"sampleSize":133.023,"query":"histogram_quantile(0.5, sum by (le) (increase(indexing_freshness_seconds_histogram_bucket{provider=\"goldrush\"}[24h])))","formula":"Median (p50) over 24h of visibility lag in seconds between an organic Base transfer confirming and GoldRush's transactions endpoint first returning it, from the shared histogram estimator.","availability":"live","meta":{"observedAt":1784679877962}},{"name":"Allium","slug":"allium","tag":"Enterprise realtime wallet APIs, 100+ chains","ms":{"p50":0,"p90":0,"p99":0,"mean":0},"successRate":0,"availability":"unavailable","formula":"Median (p50) over 24h of visibility lag in seconds between an organic Base transfer confirming and Allium's wallet transactions endpoint first returning it. Allium joins every third event to respect its free-tier quota.","meta":{"observedAt":1784679877962}}],"extras":{"series24h":{"mobula":[2.4697,1.89593,1.40248,1.27941,1.27122,1.29217,1.77785,1.77279,2.13727,1.61977,1.6053,1.22598,1.30243,1.76108,1.74984,1.72604,1.29165,2.01668,2.09322,2.50576,1.83207,2.1169,1.64187,1.54325,1.84395,1.89835,1.93625,1.27371,1.24902,1.38489,1.8329,1.80668,1.67479,1.1799,1.16492,1.19955,1.33429,1.57093,1.99919,1.9237,1.76674,1.29867,1.94352,1.92296,2.02738,1.4746,1.46688,1.37185,1.43498,2.15044,2.53559,2.36294,1.71384,1.3518,1.33314,1.30623,2.29503,2.28034,2.22761,1.21402,1.2226,1.23766,3.78808,3.76793,3.84071,1.53923,2.36077,2.31916,2.46162,2.347,2.30263,1.89405,1.2343],"zerion":[1.39074,1.34204,1.32674,1.32558,1.3602,1.37523,1.38204,1.39985,1.44797,1.43295,1.38595,1.3503,1.3573,1.38006,1.35068,1.37308,1.40122,1.44782,1.49891,1.48393,1.48461,1.42632,1.50888,1.48529,1.64716,3.84508,4.77611,5.7138,3.41676,2.51559,1.42067,1.42443,1.39887,1.37479,1.51134,1.55809,1.58138,1.44787,1.42107,1.41578,1.46951,1.46606,1.4621,1.63315,2.52762,2.51115,2.31858,1.52125,1.56523,1.56056,1.48307,1.46574,1.65779,2.53389,2.54601,2.36407,1.49331,1.53583,1.49832,1.50826,1.44847,1.48598,1.48193,2.62679,2.66037,2.60225,1.41227,1.33985,2.49526,2.53924,2.56817,1.62885,2.54039],"moralis":[15.3214,15.3214,15.3214,15.3214,15.3214,15.3214,15.3214,15.3214,15.3214,15.3214,15.3214,15.3214,15.3214,15.3214,15.3214,15.3214,15.3214,15.3214,15.3214,15.3214,15.3214,15.3214,15.3214,15.3214,15.3214,15.3214,15.3214,15.3214,15.3214,13.5366,10.5012,7.83681,8.65888,9.96097,10.6868,9.36381,8.47973,8.65987,9.65796,12.1027,12.7197,12.2872,10.2073,10.1432,10.0925,9.32119,11.3521,13.2542,15.3163,20.1312,22.3754,20.7375,12.7869,8.09227,7.96772,7.30977,7.03126,6.61759,5.90188,5.23202,5.38355,8.72679,10.4872,10.566,9.93183,10.0487,9.31845,6.6456,5.45811,6.37684,7.37472,8.19325,9.58672],"goldrush":[4.98166,6.48156,8.19573,8.52263,10.5514,10.5614,9.32879,6.46867,5.39823,6.38486,5.82029,7.63441,7.60728,8.7799,9.25554,10.0038,11.3217,9.40423,23.6464,26.0511,29.9836,16.7347,14.556,11.1385,8.15112,6.31034,5.55294,5.77263,5.39559,6.35095,38.9988,38.6503,40.1108,7.97978,9.05896,8.56786,8.81499,8.79605,8.19941,8.51517,10.235,11.3063,10.3443,8.55614,6.82204,9.19165,10.0505,15.5639,14.4744,26.0518,21.0742,20.9972,11.1828,9.89578,17.4969,15.6603,16.3879,14.6256,13.8968,15.1539,9.58403,12.3145,11.2161,11.16,23.7229,29.4073,27.8561,27.5195,22.6231,23.2221,7.58312,6.64482,6.95308]},"series7d":{"mobula":[5.39037,1.74634,1.61806,1.93351,1.42603,2.17478,2.00588,1.62765,1.39851,2.2325,2.67576,1.5276,1.25513,2.24271,1.88586,1.67218,1.71136,1.26505,2.02387,3.57581,1.89072,4.24718,1.86085,1.81864,1.75654,1.65503,1.51544,2.08926,1.84045,2.30602,2.03011,2.02579,2.50261,10.6977,2.08676,1.61328,1.44171,1.31692,1.7598,1.26908,1.45108,2.09147,1.25094,1.31345,1.2312,1.68595,1.89971,1.46854,2.37755,2.10219,1.28997,1.95528,1.17636,1.97027,2.15743,1.46515,2.24278,2.82081,1.30312,1.26745,1.94062,1.31217,2.3675,1.2505,1.89155,1.3162,2.65032,2.29722,1.45414,2.44519,1.442,1.27864,2.4697,1.77785,1.30243,2.09322,1.84395,1.8329,1.33429,1.94352,1.43498,1.33314,1.2226,2.36077,1.2343],"zerion":[2.66906,1.44915,1.41305,1.90185,2.60043,1.48842,3.66908,1.66047,5.10911,20.0801,1.49892,1.53969,1.4163,1.53003,2.5351,1.6784,2.92228,1.4085,2.64626,1.41981,3.78602,1.45814,3.69578,1.44061,3.70603,3.84806,1.29659,3.68996,1.45324,5.83027,4.53565,3.70123,4.79496,1.43209,1.46091,1.53052,2.74966,1.64241,2.47157,1.37446,3.64814,1.46745,1.42296,4.58815,1.43009,1.41653,1.43424,1.70534,2.57541,1.46727,2.4757,1.45597,1.45625,1.62394,1.46757,1.35965,1.4415,1.47009,2.50737,3.52061,1.45399,2.63035,1.40223,3.33353,1.49596,1.44541,3.60769,2.72819,3.46398,2.66568,1.49599,2.48962,1.39074,1.38204,1.3573,1.49891,1.64716,1.42067,1.58138,1.4621,1.56523,2.54601,1.44847,1.41227,2.54039],"moralis":[11.396,11.396,11.396,11.396,11.396,10.3684,11.6642,10.6467,9.47152,9.32352,7.74849,8.33257,8.32928,8.32928,8.32928,8.32928,8.32928,8.43194,32.9595,12.6276,8.52255,14.3817,6.10274,7.39863,6.73341,6.51109,6.51109,6.51109,6.51109,8.16237,8.94406,7.47117,10.2062,9.25535,9.91531,4.81849,7.41185,8.26226,8.26226,8.26226,8.26226,8.29979,9.42808,8.13012,8.66042,14.8972,6.60543,8.42029,9.18827,8.80817,8.80817,8.80817,8.80817,7.31539,9.18101,8.31076,15.6287,8.36965,8.01589,11.6558,10.6995,9.07228,9.07228,9.07228,9.07228,8.35401,12.739,7.55322,17.7544,12.8471,10.7375,8.61111,15.3214,15.3214,15.3214,15.3214,15.3214,10.5012,8.47973,10.2073,15.3163,7.96772,5.38355,9.31845,9.58672],"goldrush":[23.2811,10.7535,7.33394,13.7639,22.2149,12.7617,6.66316,30.529,9.20627,6.93936,11.2027,8.36432,5.20927,19.4973,21.7988,8.63157,14.6562,8.77039,10.5109,7.39661,9.50113,8.67887,8.4956,13.3282,8.41949,6.62902,18.304,14.2159,9.59722,17.2281,6.90261,9.55997,7.78032,21.683,7.23925,21.4914,7.90125,13.5639,6.83025,7.66266,17.8661,10.3687,11.9839,6.21885,9.39571,19.7652,7.03622,7.68876,9.61237,7.26899,8.04888,6.77701,7.72005,7.4149,9.53426,8.03344,12.2783,23.3177,11.2143,25.2958,30.2854,9.12424,36.1552,6.06015,21.2428,9.92411,17.0198,8.43212,9.67948,42.622,8.2151,6.28567,4.98166,9.32879,7.60728,23.6464,8.15112,38.9988,8.81499,10.3443,14.4744,17.4969,9.58403,27.8561,6.95308]},"series30d":{"mobula":[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1.2464,1.14207,1.56104,1.54625,1.33446,1.29844,1.47637,null,1.62519,3.03487,2.19023,11.4506,1.41037,1.90871,5.39037,2.00588,1.25513,2.02387,1.75654,2.03011,1.44171,1.25094,2.37755,2.15743,1.94062,2.65032,2.4697,1.33429,1.2343],"zerion":[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1.34316,2.44999,1.34531,1.3748,1.45227,1.48382,1.38426,null,1.43608,1.47382,3.65087,7.93622,2.6137,1.44405,2.66906,3.66908,1.4163,2.64626,3.70603,4.53565,2.74966,1.42296,2.57541,1.46757,1.45399,3.60769,1.39074,1.58138,2.54039],"moralis":[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,7.76071,20.8854,null,7.12735,5.11441,8.6181,11.3871,null,10.6276,26.4945,14.9313,11.4843,11.3992,10.0981,11.396,11.6642,8.32928,32.9595,6.73341,8.94406,7.41185,9.42808,9.18827,9.18101,10.6995,12.739,15.3214,8.47973,9.58672],"goldrush":[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,2.79118,6.47789,7.64691,4.98549,7.75471,4.94423,9.70331,null,5.43182,16.7168,31.3152,15.3226,9.26922,9.91096,23.2811,6.66316,5.20927,10.5109,8.41949,6.90261,7.90125,11.9839,9.61237,9.53426,30.2854,17.0198,4.98166,8.81499,6.95308]},"regions":{}},"sampleSize":463.08050000000003,"lastRunAt":"2026-07-22T00:24:23.053Z","dataAsOf":1784679877962},{"slug":"monad-rpc","number":"071","title":"Fastest free Monad RPC, live no-key endpoint latency","seoTitle":"Fastest free Monad RPC 2026","seoDescription":"Monad leads free Monad RPC at 2 ms (eth_getBlockByNumber p50, 24h). 5 no-key providers measured every 60s from 3 regions.","seoIntro":"Monad shipped its parallel-execution EVM mainnet in November 2025\nwith 400 ms blocks and MonadBFT finality around 800 ms, and its\nfree RPC story is unusually rich for a chain this young. the\nFoundation runs five official mirrors behind different infra\nvendors (QuickNode, Alchemy, Goldsky, Ankr and its own nodes), and\nthe multi-chain gateways followed within weeks. We probe the\nprimary official endpoint plus dRPC, Tenderly Gateway, bloXroute\nand OnFinality, every 60 seconds from three regions, with the same\nanti-cache payload as every chain in the cluster. If you are\nbuilding on Monad and pasting a free RPC URL into your dapp, this\npage is the live answer to which one deserves it.\n","faq":[{"q":"What is the fastest free Monad RPC right now?","a":"Monad currently leads at 2 ms (p50 over 24h), measured against 5 no-key providers probed every 60 seconds from us-east, eu-west and Singapore. The leaderboard re-sorts continuously against fresh Prometheus samples, so this page is the answer right now, not a quarterly snapshot."},{"q":"Which Monad RPCs work without an API key in 2026?","a":"Five endpoints sustain continuous keyless probing: the official rpc.monad.xyz (QuickNode-backed, 25 rps; four sibling mirrors exist at rpc1-rpc3.monad.xyz and rpc-mainnet.monadinfra.com on Alchemy, Goldsky, Ankr and Foundation infra), dRPC, Tenderly Gateway, bloXroute and OnFinality. All were live-verified (eth_chainId 143 + anti-cache probe) before inclusion."},{"q":"How is Monad RPC latency measured on OpenChainBench?","a":"One identical JSON-RPC POST (eth_getBlockByNumber latest, rotating request id) every 60 seconds against each provider from each of 3 regions, with the same plain HTTP client. Wall-clock round-trip is recorded at millisecond precision; p50/p90/p99 are computed via Prometheus quantile_over_time over 24 hours. Responses are classified so an endpoint stuck on an old head or returning errors behind HTTP 200 is never ranked as fastest."}],"subtitle":"HTTP round-trip latency for eth_getBlockByNumber against every free, no-key public Monad RPC endpoint, audited every 60 seconds from 3 regions.","category":"RPCs","status":"live","editorialStatus":"live","metric":"RPC latency","unit":"ms","higherIsBetter":false,"abstract":"We measure the round-trip latency of a single, identical RPC call\n(`eth_getBlockByNumber`) against every no-key public Monad endpoint\nthat sustains continuous probing, 5 providers, every 60 seconds,\nfrom us-east, eu-west and Singapore. The harness classifies every\nresponse (ok / http_err / jsonrpc_err / stale / timeout) so the\nleaderboard rewards sustained, honest availability rather than a\nfast error message. The cross-chain view lives on the parent\nrpc-capabilities benchmark; this page is the Monad-scoped answer\nwith per-region breakdowns as a first-class dimension.\n","methodology":["Cadence: every 60 seconds per provider, from each of 3 probe regions (us-east Virginia, eu-west Amsterdam, sgp Singapore). Headline p50/p90/p99 aggregate across all 3 regions via Prometheus `avg(quantile_over_time(...))`; per-region breakdowns are first-class via the region tabs.","Payload: `{\"jsonrpc\":\"2.0\",\"id\":<rotating>,\"method\":\"eth_getBlockByNumber\",\"params\":[\"latest\",false]}`. Plain HTTP POST, identical for every endpoint, no API key in any request. Non-cacheable by design: the latest-header fetch with a rotating id defeats edge caches that answer eth_blockNumber without touching a node.","Latency: client-side round-trip delta in milliseconds, exposed as both a gauge and a histogram (buckets 50 ms to 10 s), so percentiles are computed via Prometheus `quantile_over_time` over the last 24 hours.","Call-result classification: `ok` (HTTP 200 + non-empty result), `http_err`, `jsonrpc_err` (HTTP 200 carrying an error body), `stale` (more than 20 blocks behind the cross-provider tip), `timeout`. Latency without reliability is a misleading ranking signal.","This page is part of the per-chain RPC cluster derived from the cross-chain [rpc-capabilities](/benchmarks/rpc-capabilities) benchmark; the identical harness, methodology and exclusion rules apply on every chain. Every endpoint on this page was live-verified (eth_chainId match + anti-cache probe) before inclusion on 2026-07-08.","Chain scope: every query on this page is pinned to chain=\"monad\" (chain id 143, mainnet since November 2025). Provider coverage: 5 no-key endpoints (Monad Official, dRPC, Tenderly Gateway, bloXroute, OnFinality). Exclusions follow the cluster-wide rules documented on the parent benchmark."],"findings":["Monad currently leads the free Monad RPC field at 2 ms (p50, 24h) across 5 measured providers.","Monad answers at 2 ms. The Foundation fronts its primary endpoint with QuickNode infrastructure and rate-limits at 25 rps, generous for development traffic.","dRPC sits at 195 ms and Tenderly Gateway at 331 ms: the multi-chain gateways reached Monad within weeks of mainnet, but route through their global meshes rather than chain-local nodes.","bloXroute at 163 ms is the outlier entry: a BDN operator exposing a keyless endpoint, unusual for a company whose core product is paid low-latency access."],"source":"https://github.com/ChainBench/OpenChainBench/tree/main/harnesses/rpc-capabilities","dimensions":{"region":[{"value":"all","label":"All regions"},{"value":"us-east","label":"US-East"},{"value":"eu-west","label":"EU-West"},{"value":"sgp","label":"Singapore"}]},"results":[{"name":"Monad","slug":"monad-official","tag":"Foundation endpoint (rpc.monad.xyz, QuickNode-backed, 25 rps)","ms":{"p50":1.66667,"p90":2.33333,"p99":3.33333,"mean":1.95903},"successRate":100,"sampleSize":4319.75,"query":"avg(ocb:rpc_latency_milliseconds:p50_24h{provider=\"monad-official\", chain=\"monad\"})","formula":"50th percentile over 24h of client-side round-trip latency (ms) for a single `eth_getBlockByNumber` POST sent every 60s from 3 regions (us-east + eu-west + sgp) to Monad Official's no-key Monad endpoint.","availability":"live","meta":{"observedAt":1784679881158}},{"name":"dRPC","slug":"drpc","tag":"Decentralized RPC mesh, consensus-checked","ms":{"p50":194.667,"p90":204.333,"p99":235,"mean":196.249},"successRate":99.8842,"sampleSize":4317.75,"query":"avg(ocb:rpc_latency_milliseconds:p50_24h{provider=\"drpc\", chain=\"monad\"})","formula":"50th percentile over 24h of client-side round-trip latency (ms) for a single `eth_getBlockByNumber` POST sent every 60s from 3 regions (us-east + eu-west + sgp) to dRPC's no-key Monad endpoint.","availability":"live","meta":{"observedAt":1784679881158}},{"name":"Tenderly Gateway","slug":"tenderly","tag":"Public gateway by Tenderly","ms":{"p50":330.667,"p90":342.333,"p99":359.817,"mean":332.019},"successRate":100,"sampleSize":4318.75,"query":"avg(ocb:rpc_latency_milliseconds:p50_24h{provider=\"tenderly\", chain=\"monad\"})","formula":"50th percentile over 24h of client-side round-trip latency (ms) for a single `eth_getBlockByNumber` POST sent every 60s from 3 regions (us-east + eu-west + sgp) to Tenderly Gateway's no-key Monad endpoint.","availability":"live","meta":{"observedAt":1784679881158}},{"name":"bloXroute","slug":"bloxroute","tag":"BDN operator's public Monad endpoint","ms":{"p50":162.667,"p90":223.667,"p99":286.667,"mean":174.064},"successRate":100,"sampleSize":4320.75,"query":"avg(ocb:rpc_latency_milliseconds:p50_24h{provider=\"bloxroute\", chain=\"monad\"})","formula":"50th percentile over 24h of client-side round-trip latency (ms) for a single `eth_getBlockByNumber` POST sent every 60s from 3 regions (us-east + eu-west + sgp) to bloXroute's no-key Monad endpoint.","availability":"live","meta":{"observedAt":1784679881158}},{"name":"OnFinality","slug":"onfinality","tag":"Public endpoint, 80+ networks","ms":{"p50":124.667,"p90":272.467,"p99":2427.33,"mean":242.338},"successRate":100,"sampleSize":4319.75,"query":"avg(ocb:rpc_latency_milliseconds:p50_24h{provider=\"onfinality\", chain=\"monad\"})","formula":"50th percentile over 24h of client-side round-trip latency (ms) for a single `eth_getBlockByNumber` POST sent every 60s from 3 regions (us-east + eu-west + sgp) to OnFinality's no-key Monad 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free MegaETH RPC, live no-key endpoint latency","seoTitle":"Fastest free MegaETH RPC 2026","seoDescription":"MegaETH Official leads free MegaETH RPC at 25 ms (eth_getBlockByNumber p50, 24h). 3 no-key providers measured every 60s from 3 regions.","seoIntro":"MegaETH markets itself as the real-time Ethereum L2. 10 ms\nmini-blocks batched into 1 s EVM blocks, data availability on\nEigenDA and ZK fraud proofs via Kailua, live on mainnet since\nFebruary 2026. Marketing aside, builders still reach it through\nordinary JSON-RPC, and the free tier of that surface is what this\npage measures. the official mainnet.megaeth.com endpoint plus\ndRPC and Tenderly Gateway, probed every 60 seconds from\nthree regions with the cluster's anti-cache payload. The chain's\n10 ms story lives on its WebSocket realtime API; the HTTP numbers\nbelow are what a wallet, indexer or bot actually experiences when\npolling.\n","faq":[{"q":"What is the fastest free MegaETH RPC right now?","a":"MegaETH Official currently leads at 25 ms (p50 over 24h), measured against 3 no-key providers probed every 60 seconds from us-east, eu-west and Singapore. The leaderboard re-sorts continuously against fresh Prometheus samples."},{"q":"Which MegaETH RPCs work without an API key in 2026?","a":"Four endpoints sustain continuous keyless probing: the official mainnet.megaeth.com/rpc (dynamic compute-unit limiting), dRPC and Tenderly Gateway. All were live-verified (eth_chainId 4326 + anti-cache probe) before inclusion. The 10 ms mini-block realtime API is WebSocket-only and out of scope for this HTTP latency page."},{"q":"Does this page measure MegaETH's 10 ms real-time claim?","a":"No, and deliberately so. The 10 ms figure refers to sequencer mini-blocks delivered over the WebSocket realtime API; this page measures the plain HTTP JSON-RPC surface that wallets, indexers and most tooling actually poll. Both numbers are real, they describe different transport layers. A WebSocket-level benchmark is a separate methodology."}],"subtitle":"HTTP round-trip latency for eth_getBlockByNumber against every free, no-key public MegaETH RPC endpoint, audited every 60 seconds from 3 regions.","category":"RPCs","status":"live","editorialStatus":"live","metric":"RPC latency","unit":"ms","higherIsBetter":false,"abstract":"We measure the round-trip latency of a single, identical RPC call\n(`eth_getBlockByNumber`) against every no-key public MegaETH\nendpoint that sustains continuous probing, 3 providers, every 30\nseconds, from us-east, eu-west and Singapore. The harness\nclassifies every response (ok / http_err / jsonrpc_err / stale /\ntimeout) so the leaderboard rewards sustained, honest availability\nrather than a fast error message. The cross-chain view lives on\nthe parent rpc-capabilities benchmark; this page is the\nMegaETH-scoped answer with per-region breakdowns first-class.\n","methodology":["Cadence: every 60 seconds per provider, from each of 3 probe regions (us-east Virginia, eu-west Amsterdam, sgp Singapore). Headline p50/p90/p99 aggregate across all 3 regions via Prometheus `avg(quantile_over_time(...))`; per-region breakdowns are first-class via the region tabs.","Payload: `{\"jsonrpc\":\"2.0\",\"id\":<rotating>,\"method\":\"eth_getBlockByNumber\",\"params\":[\"latest\",false]}`. Plain HTTP POST, identical for every endpoint, no API key in any request. Non-cacheable by design: the latest-header fetch with a rotating id defeats edge caches that answer eth_blockNumber without touching a node.","Latency: client-side round-trip delta in milliseconds, exposed as both a gauge and a histogram (buckets 50 ms to 10 s), so percentiles are computed via Prometheus `quantile_over_time` over the last 24 hours.","Call-result classification: `ok` (HTTP 200 + non-empty result), `http_err`, `jsonrpc_err` (HTTP 200 carrying an error body), `stale` (more than 20 blocks behind the cross-provider tip), `timeout`. Latency without reliability is a misleading ranking signal.","This page is part of the per-chain RPC cluster derived from the cross-chain [rpc-capabilities](/benchmarks/rpc-capabilities) benchmark; the identical harness, methodology and exclusion rules apply on every chain. Every endpoint on this page was live-verified (eth_chainId match + anti-cache probe) before inclusion on 2026-07-08.","Chain scope: every query on this page is pinned to chain=\"megaeth\" (chain id 4326, mainnet since February 2026). Provider coverage: 3 no-key endpoints (MegaETH Official, dRPC, Tenderly Gateway). Exclusions follow the cluster-wide rules documented on the parent benchmark."],"findings":["MegaETH Official currently leads the free MegaETH RPC field at 25 ms (p50, 24h) across 3 measured providers.","MegaETH Official answers at 25 ms. The official endpoint applies dynamic compute-unit limiting rather than a fixed rps cap; our 1 probe/30s/region load never approaches it.","A 1 s EVM block time means the stale classification window (20 blocks) is only 20 seconds here, the tightest honesty gate in the cluster."],"source":"https://github.com/ChainBench/OpenChainBench/tree/main/harnesses/rpc-capabilities","dimensions":{"region":[{"value":"all","label":"All regions"},{"value":"us-east","label":"US-East"},{"value":"eu-west","label":"EU-West"},{"value":"sgp","label":"Singapore"}]},"results":[{"name":"MegaETH Official","slug":"megaeth-official","tag":"Foundation endpoint, compute-unit limited","ms":{"p50":25,"p90":40,"p99":65.3333,"mean":27.3141},"successRate":100,"sampleSize":4318.75,"query":"avg(ocb:rpc_latency_milliseconds:p50_24h{provider=\"megaeth-official\", chain=\"megaeth\"})","formula":"50th percentile over 24h of client-side round-trip latency (ms) for a single `eth_getBlockByNumber` POST sent every 60s from 3 regions (us-east + eu-west + sgp) to MegaETH Official's no-key MegaETH endpoint.","availability":"live","meta":{"observedAt":1784679879301}},{"name":"dRPC","slug":"drpc","tag":"Decentralized RPC mesh, consensus-checked","ms":{"p50":166,"p90":182.667,"p99":255.333,"mean":171.06},"successRate":85.69109999999999,"sampleSize":4319.75,"query":"avg(ocb:rpc_latency_milliseconds:p50_24h{provider=\"drpc\", chain=\"megaeth\"})","formula":"50th percentile over 24h of client-side round-trip latency (ms) for a single `eth_getBlockByNumber` POST sent every 60s from 3 regions (us-east + eu-west + sgp) to dRPC's no-key MegaETH endpoint.","availability":"live","meta":{"observedAt":1784679879301}},{"name":"Tenderly Gateway","slug":"tenderly","tag":"Public gateway by Tenderly","ms":{"p50":331.667,"p90":343,"p99":361.667,"mean":333.09},"successRate":100,"sampleSize":4320.75,"query":"avg(ocb:rpc_latency_milliseconds:p50_24h{provider=\"tenderly\", chain=\"megaeth\"})","formula":"50th percentile over 24h of client-side round-trip latency (ms) for a single `eth_getBlockByNumber` POST sent every 60s from 3 regions (us-east + eu-west + sgp) to Tenderly Gateway's no-key MegaETH 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MEV protection RPC, live wallet latency and method coverage","seoTitle":"Best MEV protection RPC 2026","seoDescription":"bloXroute Protect leads MEV protection RPC wallet latency at 8 ms (p50, 24h). Flashbots, MEV Blocker, Blink, bloXroute, BlockSec, 48 Club probed keyless on Ethereum, Base and BSC.","seoIntro":"Every guide that tells you to paste a custom RPC into MetaMask to\ndodge sandwich bots skips the same question. what does that RPC do to\nthe rest of your wallet. Once Flashbots Protect, MEV Blocker or Blink\nbecomes your default endpoint, every balance refresh, every gas\nestimate and every simulation runs through their gateway, and a slow\nor method-crippled proxy makes the whole wallet feel broken. This\npage measures that read path live. seven wallet methods (chainId,\nblockNumber, gasPrice, getBalance, call, estimateGas, feeHistory)\nprobed keyless every minute from us-east, eu-west and Singapore, with\na coverage panel showing which methods each gateway actually serves.\nFlashbots Protect currently rejects eth_call on its public endpoint;\nBlink serves the full wallet set but blocks full-node reads like\neth_getBlockByNumber. Numbers nobody publishes, refreshed around the\nclock. What this page deliberately does not claim to rank: inclusion\nspeed, refund rates and sandwich protection efficacy are the write\npath, they require funded transactions to measure, and the one\nrigorous study there is a one-off academic snapshot, not a live feed.\n","faq":[{"q":"Which MEV protection RPC is fastest for wallet usage?","a":"bloXroute Protect currently leads at 8 ms (p50, 24h) on the wallet method median measured from three regions. The number covers the read path a wallet hits constantly once you set a protect RPC as default: balance refreshes, gas estimates, call simulations. It does not rank inclusion speed or refunds, which are write-path properties that cannot be measured without sending funded transactions."},{"q":"Does an MEV protection RPC slow down my wallet?","a":"It adds a proxy hop, and this page measures exactly how much. The gateways in this cohort answer wallet reads in tens to hundreds of milliseconds at p50, but the p99 column shows the stalls you feel. A gateway can also reject methods outright: Flashbots Protect currently rejects eth_call on its public endpoint, so simulation-heavy wallets silently fall back to another provider."},{"q":"What is the difference between Flashbots Protect, MEV Blocker and Blink?","a":"All three route your transactions away from the public mempool to prevent sandwich attacks, and they monetize the order flow differently: refunds shared with users (MEV Blocker pays a share of backrun value), enterprise deals with wallets (Blink powers Ledger and sells through the QuickNode marketplace), or the Flashbots auction. This page compares the part of the product you can verify from outside: the latency and coverage of the read gateway your wallet talks to all day."},{"q":"Why is inclusion rate not on this benchmark?","a":"Measuring inclusion or refunds requires signing and funding real transactions on every gateway around the clock, which is expensive and hard to keep neutral. The one rigorous comparison of that layer is a one-off academic study (arXiv 2505.19708). This benchmark tracks the layer that can be measured continuously and keyless, and says so instead of extrapolating."}],"subtitle":"Median latency of the JSON-RPC method set wallets call constantly (balance, gas, call simulation), measured against public MEV protection gateways on Ethereum, Base and BSC from three regions. Read-path hygiene only: inclusion rates and refunds are the write path and cannot be measured without sending transactions.","category":"RPCs","status":"live","editorialStatus":"live","metric":"Wallet call latency","unit":"ms","higherIsBetter":false,"abstract":"We probe the public gateways of MEV protection RPCs with the JSON-RPC\nmethod set wallets call constantly, keyless, every minute, from three\nregions. The headline number is the per-tick median latency across\nthe methods a gateway serves; method coverage is tracked separately\nso a gateway that rejects a method is shown as a coverage gap rather\nthan a latency penalty. No transactions are sent.\n","methodology":["Providers measured, one row per (provider, chain), all keyless and live-verified 2026-07-12. Ethereum cohort: Flashbots Protect (rpc.flashbots.net), MEV Blocker (rpc.mevblocker.io), Blink formerly Merkle (ethereum.blinklabs.xyz), bloXroute Protect (eth-protect.rpc.blxrbdn.com), BlockSec Anti-MEV (eth.rpc.blocksec.com).","Base cohort: Blink (base.merkle.io) alone. No other MEV-protect gateway exposes a keyless Base endpoint today; Flashbots and MEV Blocker are Ethereum-only by design and base.rpc.blxrbdn.com is plain RPC, not documented as Protect.","BSC cohort: Blink (bsc.merkle.io), bloXroute Protect (bsc.rpc.blxrbdn.com), 48 Club Privacy RPC (rpc.48.club), PancakeSwap MEV Guard (bscrpc.pancakeswap.finance, powered by 48 Club), BlockSec (bsc.rpc.blocksec.com).","Exclusions: SecureRPC probed dead 2026-07-10. Alchemy MEV Protect and GetBlock protected endpoints are key-gated. Blink's Ethereum row uses the blinklabs.xyz host because the legacy eth.merkle.io alias rate-limits harder; on Base and BSC the merkle.io hosts are Blink's only keyless surface (base/bsc.blinklabs.xyz do not resolve as of 2026-07-12).","Chain dimension: the tabs pin every query to one chain. The All chains headline averages each provider over the chains it actually serves, the same convention as the rpc-capabilities cluster; the Chains covered panel shows the multi-chain footprint explicitly.","Method set: eth_chainId, eth_blockNumber, eth_gasPrice, eth_getBalance, eth_call (USDC balanceOf), eth_estimateGas, eth_feeHistory. One request per method per tick, 1.5s apart, rotating request ids against body-keyed edge caches.","Cadence: every 60 seconds per region (us-east, eu-west, sgp), 7 requests per gateway per tick, rows probed in parallel so each gateway still sees one request per 1.5s. Deliberately polite: these gateways rate-ban aggressive callers.","Headline: median latency across the methods the provider served that tick, aggregated over 24h with quantile_over_time. A rejected method does not poison the latency; it lowers the coverage panel instead.","Coverage: mev_rpc_methods_supported counts the wallet methods served on the last tick (max 7) per chain. Flashbots rejects eth_call on the public endpoint; Blink blocks full-node reads like eth_getBlockByNumber, which keeps it off the general RPC benches but not off this one.","Out of scope, disclosed: inclusion rate, refund economics and sandwich protection efficacy are the write path and require funded transactions. See the arXiv study Private MEV Protection RPCs (2505.19708) for a one-off execution-quality comparison.","Success rate counts transport failures only (timeouts, throttling, network); a method a gateway refuses by policy is a coverage gap shown in the coverage panel, not an outage. Failures increment mev_rpc_call_total{result}; the gauge keeps its last value so the chart shows the outage in the success column rather than a fake zero."],"findings":["bloXroute Protect leads at 8 ms (p50, 24h) on the cross-region wallet call median over 7 measured gateways.","MEV Blocker sits at 38 ms (p50, 24h) and serves the full 7-method wallet set. MEV Blocker was acquired by Consensys in January 2026; its gateway proxies reads with the lowest overhead of the cohort.","Flashbots Protect clocks 101 ms (p50, 24h) but rejects eth_call on the public endpoint, so wallets relying on it for simulation fall back to another provider for that path.","Blink returns 95 ms (p50, 24h) across the full wallet set. Blink, formerly Merkle, is a wallet-facing MEV proxy by design: it serves everything a wallet needs while blocking full-node reads.","Blink is the only gateway in the cohort measurable on all three chains: Ethereum, Base and BSC. Flashbots Protect and MEV Blocker are Ethereum-only by design, bloXroute Protect and BlockSec cover Ethereum plus BSC, and on Base Blink is currently the only keyless MEV-protect endpoint in existence.","bloXroute Protect answers at 8 ms (p50, 24h) across Ethereum and BSC. The Protect RPC is the free tier of a paid MEV infrastructure stack, and the gateway inherits the low-latency backbone bloXroute sells to searchers.","BlockSec Anti-MEV clocks 105 ms (p50, 24h) on Ethereum and BSC. The Anti-MEV RPC is a security-vendor product: same private-routing idea, marketed to users of the Phalcon toolchain.","On BSC the local cohort is the real story: 48 Club Privacy RPC (20 ms) and PancakeSwap MEV Guard (21 ms) share the same 48 Club infrastructure behind different edges, and both compete against Blink and bloXroute for the default slot in BSC wallets.","The p50 to p99 gap is the number wallet teams should read: a protect RPC that stalls on one refresh per hundred makes the whole wallet feel unreliable, whatever its median."],"source":"https://github.com/ChainBench/OpenChainBench/tree/main/harnesses/mev-protect-rpc","dimensions":{"chain":[{"value":"all","label":"All chains"},{"value":"ethereum","label":"Ethereum"},{"value":"base","label":"Base"},{"value":"bsc","label":"BNB Chain"}],"region":[{"value":"all","label":"All regions"},{"value":"us-east","label":"US-East"},{"value":"eu-west","label":"EU-West"},{"value":"sgp","label":"Singapore"}]},"results":[{"name":"Flashbots Protect","slug":"flashbots","tag":"Public protect RPC, rejects eth_call on the free gateway","ms":{"p50":100.5,"p90":107,"p99":110,"mean":101.475},"successRate":96.4492,"sampleSize":30234,"query":"quantile_over_time(0.50, mev_rpc_wallet_latency_milliseconds{provider=\"flashbots\"}[24h])","formula":"Median latency across the wallet methods served per 60s tick against rpc.flashbots.net, aggregated over 24h via quantile_over_time; 3-region average.","availability":"live","meta":{"observedAt":1784679880732}},{"name":"MEV Blocker","slug":"mevblocker","tag":"CoW built, Consensys owned since 2026, full wallet method set","ms":{"p50":38,"p90":120,"p99":230,"mean":58.2243},"successRate":99.64269999999999,"sampleSize":30233.9,"query":"quantile_over_time(0.50, mev_rpc_wallet_latency_milliseconds{provider=\"mevblocker\"}[24h])","formula":"Median latency across the wallet methods served per 60s tick against rpc.mevblocker.io, aggregated over 24h via quantile_over_time; 3-region average.","availability":"live","meta":{"observedAt":1784679880732}},{"name":"Blink","slug":"blinklabs","tag":"Formerly Merkle, only gateway live on Ethereum, Base and BSC, powers Ledger","ms":{"p50":95,"p90":104,"p99":107,"mean":96.7204},"successRate":96.1916,"sampleSize":90710.7,"query":"quantile_over_time(0.50, mev_rpc_wallet_latency_milliseconds{provider=\"blinklabs\"}[24h])","formula":"Median latency across the wallet methods served per 60s tick against ethereum.blinklabs.xyz, base.merkle.io and bsc.merkle.io, aggregated over 24h via quantile_over_time; 3-region average over the chains served.","availability":"live","meta":{"observedAt":1784679880732}},{"name":"bloXroute Protect","slug":"bloxroute","tag":"Free protect tier of the bloXroute MEV stack, Ethereum + BSC","ms":{"p50":8,"p90":9,"p99":10,"mean":8.39694},"successRate":100,"sampleSize":60475.7,"query":"quantile_over_time(0.50, mev_rpc_wallet_latency_milliseconds{provider=\"bloxroute\"}[24h])","formula":"Median latency across the wallet methods served per 60s tick against eth-protect.rpc.blxrbdn.com and bsc.rpc.blxrbdn.com, aggregated over 24h via quantile_over_time; 3-region average over the chains served.","availability":"live","meta":{"observedAt":1784679880732}},{"name":"BlockSec Anti-MEV","slug":"blocksec","tag":"Security-vendor private routing, Ethereum + BSC","ms":{"p50":105,"p90":110,"p99":113,"mean":104.186},"successRate":99.9901,"sampleSize":60468.6,"query":"quantile_over_time(0.50, mev_rpc_wallet_latency_milliseconds{provider=\"blocksec\"}[24h])","formula":"Median latency across the wallet methods served per 60s tick against eth.rpc.blocksec.com and bsc.rpc.blocksec.com, aggregated over 24h via quantile_over_time; 3-region average over the chains served.","availability":"live","meta":{"observedAt":1784679880732}},{"name":"48 Club Privacy RPC","slug":"48club","tag":"BSC validator collective, Puissant successor","ms":{"p50":20,"p90":22,"p99":24,"mean":19.8375},"successRate":100,"sampleSize":30237.8,"query":"quantile_over_time(0.50, mev_rpc_wallet_latency_milliseconds{provider=\"48club\"}[24h])","formula":"Median latency across the wallet methods served per 60s tick against rpc.48.club, aggregated over 24h via quantile_over_time; 3-region average over the chains served.","availability":"live","meta":{"observedAt":1784679880732}},{"name":"PancakeSwap MEV Guard","slug":"pancakeswap","tag":"BSC, powered by 48 Club behind PancakeSwap's edge","ms":{"p50":21,"p90":31,"p99":32.5,"mean":23.2573},"successRate":100,"sampleSize":30237.8,"query":"quantile_over_time(0.50, mev_rpc_wallet_latency_milliseconds{provider=\"pancakeswap\"}[24h])","formula":"Median latency across the wallet methods served per 60s tick against bscrpc.pancakeswap.finance, aggregated over 24h via quantile_over_time; 3-region average over the chains 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Protect","slug":"bloxroute","tag":"Free protect tier of the bloXroute MEV stack, Ethereum + BSC","ms":{"p50":9,"p90":11,"p99":55,"mean":10.5169},"successRate":100,"sampleSize":30237.7,"query":"quantile_over_time(0.50, mev_rpc_wallet_latency_milliseconds{provider=\"bloxroute\",chain=\"ethereum\"}[24h])","formula":"Median latency across the wallet methods served per 60s tick against eth-protect.rpc.blxrbdn.com and bsc.rpc.blxrbdn.com, aggregated over 24h via quantile_over_time; 3-region average over the chains served.","availability":"live"},"base":{"name":"Blink","slug":"blinklabs","tag":"Formerly Merkle, only gateway live on Ethereum, Base and BSC, powers Ledger","ms":{"p50":95,"p90":104,"p99":107,"mean":96.7204},"successRate":99.5501,"sampleSize":30236.7,"query":"quantile_over_time(0.50, mev_rpc_wallet_latency_milliseconds{provider=\"blinklabs\",chain=\"base\"}[24h])","formula":"Median latency across the wallet methods served per 60s tick against ethereum.blinklabs.xyz, base.merkle.io and bsc.merkle.io, aggregated over 24h via quantile_over_time; 3-region average over the chains served.","availability":"live"},"bsc":{"name":"bloXroute Protect","slug":"bloxroute","tag":"Free protect tier of the bloXroute MEV stack, Ethereum + BSC","ms":{"p50":8,"p90":9,"p99":10,"mean":8.39694},"successRate":100,"sampleSize":30237.7,"query":"quantile_over_time(0.50, mev_rpc_wallet_latency_milliseconds{provider=\"bloxroute\",chain=\"bsc\"}[24h])","formula":"Median latency across the wallet methods served per 60s tick against eth-protect.rpc.blxrbdn.com and bsc.rpc.blxrbdn.com, aggregated over 24h via quantile_over_time; 3-region average over the chains served.","availability":"live"}},"worstPerChain":{"ethereum":{"name":"BlockSec Anti-MEV","slug":"blocksec","tag":"Security-vendor private routing, Ethereum + BSC","ms":{"p50":110,"p90":118,"p99":121,"mean":109.72},"successRate":99.9802,"sampleSize":30232.6,"query":"quantile_over_time(0.50, mev_rpc_wallet_latency_milliseconds{provider=\"blocksec\",chain=\"ethereum\"}[24h])","formula":"Median latency across the wallet methods served per 60s tick against eth.rpc.blocksec.com and bsc.rpc.blocksec.com, aggregated over 24h via quantile_over_time; 3-region average over the chains served.","availability":"live"},"base":{"name":"Blink","slug":"blinklabs","tag":"Formerly Merkle, only gateway live on Ethereum, Base and BSC, powers Ledger","ms":{"p50":95,"p90":104,"p99":107,"mean":96.7204},"successRate":99.5501,"sampleSize":30236.7,"query":"quantile_over_time(0.50, mev_rpc_wallet_latency_milliseconds{provider=\"blinklabs\",chain=\"base\"}[24h])","formula":"Median latency across the wallet methods served per 60s tick against ethereum.blinklabs.xyz, base.merkle.io and bsc.merkle.io, aggregated over 24h via quantile_over_time; 3-region average over the chains served.","availability":"live"},"bsc":{"name":"BlockSec Anti-MEV","slug":"blocksec","tag":"Security-vendor private routing, Ethereum + BSC","ms":{"p50":105,"p90":110,"p99":113,"mean":104.186},"successRate":100,"sampleSize":30235.7,"query":"quantile_over_time(0.50, mev_rpc_wallet_latency_milliseconds{provider=\"blocksec\",chain=\"bsc\"}[24h])","formula":"Median latency across the wallet methods served per 60s tick against eth.rpc.blocksec.com and bsc.rpc.blocksec.com, aggregated over 24h via quantile_over_time; 3-region average over the chains served.","availability":"live"}},"providersPerChain":{"ethereum":["flashbots","mevblocker","blinklabs","bloxroute","blocksec"],"base":["blinklabs"],"bsc":["blinklabs","bloxroute","blocksec","48club","pancakeswap"]},"dataAsOf":1784679880732},{"slug":"solana-rpc","number":"075","title":"Fastest free Solana RPC, live no-key endpoint latency","seoTitle":"Fastest free Solana RPC 2026","seoDescription":"Solana Labs leads free Solana RPC at 14 ms (getSlot p50, 24h). 5 no-key providers measured every 60s from 3 regions, keyless.","seoIntro":"Solana is the first non-EVM member of the RPC latency cluster, and the chain where the free-RPC question is asked most and answered worst: most \"best Solana RPC\" roundups list endpoints that key-gated or died years ago. This page probes the 5 endpoints that actually answer keyless today, including the Solana Labs official api.mainnet-beta.solana.com that every tutorial pastes, with the same rules as the 20 EVM chains in the cluster: one identical probe (getSlot at the processed commitment) every 60 seconds from us-east, eu-west and Singapore, stale-slot detection against the cross-provider tip, and result classification so a fast error never ranks as a fast answer. The candidates that failed the keyless audit are listed with their exact refusals: dRPC moved Solana to paid tiers, Ankr returns 403 without a key, OnFinality's shared public quota is permanently exhausted.\n","faq":[{"q":"What is the fastest free Solana RPC right now?","a":"Solana Labs currently leads at 14 ms (getSlot p50 over the last 24h), measured against 5 no-key providers probed every 60 seconds from us-east, eu-west and Singapore. The leaderboard re-sorts continuously against fresh Prometheus samples; use the region tabs to see the leader from the origin closest to your deployment."},{"q":"Which Solana RPCs work without an API key?","a":"The 5 providers on this page: Solana Labs (api.mainnet-beta.solana.com), PublicNode, Lava, LeoRPC (publicly documented FREE key) and Solana Vibe Station. Every endpoint was live-verified before inclusion. The famous names that do not work keyless anymore are listed in the methodology with their exact refusals: dRPC moved Solana to paid tiers, Ankr 403s, OnFinality's public quota is exhausted, Helius and Shyft are key-gated."},{"q":"Is api.mainnet-beta.solana.com good enough for production?","a":"For development, demos and light read workloads, yes: Solana Labs documents roughly 100 requests per 10 seconds per IP. For production trading, indexing or anything latency-sensitive, dedicated providers exist for a reason; this page measures the free tier so you know exactly what the default gets you before you decide."},{"q":"How is Solana RPC latency measured here?","a":"One identical JSON-RPC POST (getSlot at the processed commitment) every 60 seconds against each provider from each of 3 regions. Wall-clock round-trip is recorded at millisecond precision; p50/p90/p99 come from Prometheus quantile_over_time over 24 hours. Responses are classified so an endpoint stuck behind the cross-provider slot tip or erroring behind HTTP 200 is never ranked as fastest. The harness is open source."},{"q":"Why is there no archive-depth column like the EVM pages?","a":"The EVM cluster probes eth_getBalance at historical block heights to expose which free endpoints serve archive state. Public Solana endpoints expose no comparable keyless historical-state query, so the audit is disclosed as not applicable rather than approximated."}],"subtitle":"HTTP round-trip latency for getSlot at the processed commitment against every free, no-key public Solana RPC endpoint, audited every 60 seconds from 3 regions.","category":"RPCs","status":"live","editorialStatus":"live","metric":"RPC latency","unit":"ms","higherIsBetter":false,"abstract":"Per-chain member of the RPC latency cluster and its first non-EVM\nchain. We measure round-trip latency of a single identical JSON-RPC\ncall (getSlot at the processed commitment) against every no-key\npublic Solana endpoint that sustains continuous probing, 5 providers,\nevery 60 seconds, from us-east, eu-west and Singapore. Responses are\nclassified (ok / http_err / jsonrpc_err / stale / timeout) with\nstaleness measured in slots against the cross-provider tip. The\narchive-depth audit run on EVM chains has no keyless Solana\nequivalent and is not performed. The cross-chain view lives on the\nparent rpc-capabilities benchmark; this page is the Solana-scoped\nanswer with per-region breakdowns as a first-class dimension.\n","methodology":["Cadence: every 60 seconds per provider, from each of 3 probe regions (us-east Virginia, eu-west Amsterdam, sgp Singapore). Headline p50/p90/p99 aggregate across all 3 regions via Prometheus `avg(quantile_over_time(...))`; per-region breakdowns are first-class via the region tabs.","Payload: `{\"jsonrpc\":\"2.0\",\"id\":<rotating>,\"method\":\"getSlot\",\"params\":[{\"commitment\":\"processed\"}]}`. Plain HTTP POST, identical for every endpoint, no API key in any request; the rotating id defeats body-keyed edge caches.","Latency: client-side round-trip delta in milliseconds, exposed as both a gauge and a histogram, percentiles computed via Prometheus `quantile_over_time` over the last 24 hours.","Call-result classification: `ok`, `http_err`, `jsonrpc_err`, `stale` (more than 300 slots, about 2 minutes, behind the cross-provider tip), `timeout`. Latency without reliability is a misleading ranking signal.","No archive-depth audit on Solana: the EVM chains probe `eth_getBalance` at historical heights, which has no equivalent on public Solana endpoints. Disclosed rather than faked.","LeoRPC disclosure: the endpoint uses a publicly documented FREE query key (solana.leorpc.com/?api_key=FREE). It is admitted as keyless in practice since no signup is required; flagged here for transparency.","This page is part of the per-chain RPC cluster derived from the cross-chain [rpc-capabilities](https://openchainbench.com/benchmarks/rpc-capabilities) benchmark; identical harness and exclusion rules.","Chain scope: every query on this page is pinned to chain=\"solana\". Provider coverage: 5 no-key endpoints (Solana Labs, PublicNode, Lava, LeoRPC, Solana Vibe Station). Excluded with verified refusals 2026-07-12: dRPC (Solana is paid-tier only), Ankr (403 key required), OnFinality (shared quota permanently 429), BlockPI (no public URL), Triton free.rpcpool.com (403), Blast API + ExtrNode + AllThatNode (DNS dead), OMNIA (521), Helius + Shyft + BlockEden (key-gated)."],"findings":["Solana Labs currently leads free Solana RPC at 14 ms (getSlot p50, 24h) across 5 measured providers.","Solana Labs (14 ms) is the endpoint every tutorial pastes. Solana Labs documents its limits at 100 requests per 10 seconds per IP, generous for development and exactly the kind of endpoint this bench exists to sanity-check.","PublicNode (89 ms) extends its EVM cluster footprint to Solana from the same Allnodes infrastructure, and arrives with the credibility of leading a large share of the EVM per-chain boards.","Lava (286 ms) routes through the Lava gateway mesh, the same architecture as its Ethereum and Arbitrum endpoints; expect higher variance than single-origin providers.","LeoRPC (564 ms) and Solana Vibe Station (189 ms) are the community tier: smaller operations whose continued keyless availability this bench monitors live rather than assumes."],"source":"https://github.com/ChainBench/OpenChainBench/tree/main/harnesses/rpc-capabilities","dimensions":{"region":[{"value":"all","label":"All regions"},{"value":"us-east","label":"US-East"},{"value":"eu-west","label":"EU-West"},{"value":"sgp","label":"Singapore"}]},"results":[{"name":"Solana Labs","slug":"solana","tag":"Chain-official api.mainnet-beta.solana.com, 100 req per 10s documented","ms":{"p50":14,"p90":394.533,"p99":625,"mean":101.653},"successRate":100,"sampleSize":4319.75,"query":"avg(ocb:rpc_latency_milliseconds:p50_24h{provider=\"solana\", chain=\"solana\"})","formula":"50th percentile over 24h of client-side round-trip latency (ms) for a single `getSlot` POST sent every 60s from 3 regions (us-east + eu-west + sgp) to api.mainnet-beta.solana.com.","availability":"live","meta":{"observedAt":1784679901838}},{"name":"PublicNode","slug":"publicnode","tag":"Allnodes-operated, same footprint as its EVM cluster entries","ms":{"p50":89.3333,"p90":102,"p99":1170.56,"mean":131.896},"successRate":99.9537,"sampleSize":4319.75,"query":"avg(ocb:rpc_latency_milliseconds:p50_24h{provider=\"publicnode\", chain=\"solana\"})","formula":"50th percentile over 24h of client-side round-trip latency (ms) for a single `getSlot` POST sent every 60s from 3 regions (us-east + eu-west + sgp) to solana-rpc.publicnode.com.","availability":"live","meta":{"observedAt":1784679901838}},{"name":"Lava","slug":"lava","tag":"Gateway mesh, pooled per-IP quota","ms":{"p50":286,"p90":801.233,"p99":1481.33,"mean":378.161},"successRate":99.5138,"sampleSize":4319.75,"query":"avg(ocb:rpc_latency_milliseconds:p50_24h{provider=\"lava\", chain=\"solana\"})","formula":"50th percentile over 24h of client-side round-trip latency (ms) for a single `getSlot` POST sent every 60s from 3 regions (us-east + eu-west + sgp) to solana.lava.build.","availability":"live","meta":{"observedAt":1784679901838}},{"name":"LeoRPC","slug":"leorpc","tag":"Community endpoint, publicly documented FREE query key","ms":{"p50":564.333,"p90":646.667,"p99":964.767,"mean":591.394},"successRate":96.2474,"sampleSize":4317.75,"query":"avg(ocb:rpc_latency_milliseconds:p50_24h{provider=\"leorpc\", chain=\"solana\"})","formula":"50th percentile over 24h of client-side round-trip latency (ms) for a single `getSlot` POST sent every 60s from 3 regions (us-east + eu-west + sgp) to solana.leorpc.com.","availability":"live","meta":{"observedAt":1784679901838}},{"name":"Solana Vibe Station","slug":"solanavibestation","tag":"Community endpoint, unpublished cap, churn monitored live","ms":{"p50":189,"p90":221,"p99":642.667,"mean":205.121},"successRate":100,"sampleSize":4320.75,"query":"avg(ocb:rpc_latency_milliseconds:p50_24h{provider=\"solanavibestation\", chain=\"solana\"})","formula":"50th percentile over 24h of client-side round-trip latency (ms) for a single `getSlot` POST sent every 60s from 3 regions (us-east + eu-west + sgp) to 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stock price accuracy, live onchain vs Nasdaq across 11 equities","seoTitle":"Tokenized stock price tracker 2026","seoDescription":"Do tokenized stocks track the real market? AAPL, TSLA, NVDA and 8 more on Robinhood Chain vs their Nasdaq price, deviation in bps, live and keyless.","seoIntro":"Robinhood Chain tokenizes ~95 equities, and its Uniswap v4 pools trade\nthem 24/7 while the Nasdaq closes every evening and every weekend.\nThis page answers the question that setup begs. how far does the\nonchain price drift from the real one. Every 60 seconds we read each\npool's spot price straight from the chain (StateView getSlot0, keyless)\nand compare it to the live reference price, labeling every sample with\nthe market session it was taken in (pre, regular, post, closed). The\nregular-hours deviation is the headline ranking; the closed-state\nseries is the weekend drift nobody else publishes: what AAPL is worth\nonchain on a Saturday when no market maker has a reference to arb\nagainst. Of the ~95 tokenized equities only 14 have pools with real\nliquidity; we measure the 11 with a listed underlying. SpaceX trades\nonchain too, but SpaceX is not listed anywhere, so there is no\nreference price to measure against, which says something about\ntokenized private equity all by itself.\n","faq":[{"q":"Do tokenized stocks track their real market price?","a":"During regular Nasdaq hours, mostly yes: arbitrageurs keep the Uniswap v4 pools within tens of basis points of the reference on the liquid names, and this page shows the live per-symbol number. Outside market hours the tether loosens, the pools keep trading around the clock with no authoritative reference, and the closed-session drift measured here is the honest answer to how far a 24/7 stock wanders from its 9:30-to-4 anchor."},{"q":"What happens to tokenized stock prices on weekends?","a":"The pools trade continuously, so the onchain price becomes pure supply and demand against the Friday close. This bench samples that drift every minute all weekend and publishes it as the closed-session series. Monday pre-market usually snaps it back; the interesting data is how far it got before that."},{"q":"Why only 11 stocks when Robinhood tokenized about 95?","a":"Because only 14 of the 95 have a USDG pool with real liquidity and swap activity, and 3 of those are unmeasurable: SpaceX has no listed reference price, and SNDK plus QQQ hold under $2k of depth. The other 80 tokens sit in placeholder pools at 90-95% fees that nobody has ever traded. The gap between tokens issued and markets that exist is one of this page's findings."},{"q":"How is the onchain price read?","a":"One batched keyless eth_call per minute to the StateView contract of the Uniswap v4 singleton on Robinhood Chain, decoding sqrtPriceX96 from getSlot0 for each pool and converting with the pool's currency ordering and the 6-vs-18 decimals gap. No indexer, no API key, reproducible with curl."},{"q":"Where does the reference price come from?","a":"Yahoo Finance's public chart API, one batched call per minute with the session windows read from currentTradingPeriod, which is holiday-aware. When the market is closed the reference is the last regular close, which is exactly the baseline the weekend drift should be measured against."}],"subtitle":"Absolute deviation between each tokenized equity's Uniswap v4 pool price on Robinhood Chain and its real market reference price, in basis points, labeled by market session. The only live public measurement of whether onchain stocks actually track their underlying.","category":"RWA","status":"live","editorialStatus":"live","metric":"Price deviation","unit":"bps","higherIsBetter":false,"abstract":"Every 60 seconds the harness reads the Uniswap v4 spot price of 11\ntokenized equities on Robinhood Chain (one batched eth_call to the\nStateView contract, keyless) and fetches the reference equity price\nfrom Yahoo Finance (one batched spark call). Deviation is\n10000 x |pool - reference| / reference, in basis points, published\nwith a market_state label derived from Yahoo's holiday-aware session\nwindows. No API keys, no transactions, both legs reproducible from\npublic endpoints.\n","methodology":["Onchain leg: one JSON-RPC batch per tick to StateView (0xF3334192D15450CdD385c8B70e03f9A6bD9E673b) getSlot0(poolId) on the Uniswap v4 PoolManager singleton, keyless against the official Robinhood Chain RPC. sqrtPriceX96 converts to USDG per share with the per-pool currency ordering and the USDG 6 vs stock 18 decimal gap (factor 1e12).","Reference leg: Yahoo Finance v8 spark batch, one call for all 11 symbols per tick, browser User-Agent, no key. regularMarketPrice doubles as the last-close reference when the market is closed, which is exactly the weekend baseline.","Market session labels: derived from Yahoo currentTradingPeriod epochs (pre / regular / post / closed), which Yahoo publishes holiday-aware, so the harness maintains no NYSE calendar. The headline ranking pins market_state=\"regular\"; the closed series is the drift panel.","Deviation: 10000 x |pool_price - reference_price| / reference_price, sampled every 60 seconds, quantiles over 24h via quantile_over_time.","Cohort: the 11 official tokenized equities (name pattern <Company> * Robinhood Token, shared verified Stock implementation) whose USDG pool has real liquidity and swap history: NVDA, AAPL, GOOGL, TSLA, PLTR, META, AMD, MSFT, AMZN, SPY, MU. Pool fees range 0.3% to 2%.","Excluded, with reasons: SPCX (SpaceX pool holds ~$196k but SpaceX is not listed, no reference price exists), SNDK and QQQ (pool depth under $2k, deviation would be noise), CRCL (pool at zero liquidity), ~80 other official tokens (issuer-seeded placeholder pools at 90-95% fee, zero swaps), HOOD (never issued onchain, all HOOD tokens on the chain are third-party spam).","Thin liquidity is part of the story, not a defect: pool depths run $24k to $330k, so a single mid-size swap can move the onchain price meaningfully off the reference until arbitrage closes it. The bench measures how fast that closure actually happens.","Reading grid: an AMM price can sit anywhere inside the pool's fee band without creating an arbitrage opportunity, so a 2% fee pool resting 150 bps off its reference is economically at equilibrium, not broken. Cross-symbol ranking therefore partly reflects each pool's fee tier (disclosed in every tag); the within-symbol trend over time is the purest signal.","Quote-asset caveat: pool prices are denominated in USDG and compared against USD references. A USDG peg wobble would appear as a correlated deviation across all 11 symbols simultaneously, which is the signature to check before reading a broad move as tracking error.","Caveats: the issuer can pause or blocklist a token (the harness drops the sample and lets the series age out rather than freezing), and the Stock contract carries a split multiplier; a corporate action can look like a one-day deviation spike until reconciled."],"findings":["AAPL tracks its reference tightest at 0.047% (p50, 24h) across 6 measured tokenized equities.","AAPL deviates 0.047% (p50, 24h) with roughly $330k of pool depth, the deepest tokenized-stock pool on the chain alongside NVDA (0.10%, ~$290k).","{{name:tsla}} ({{p50:tsla}}) has the most active pool of the cohort by swap count, which is what keeps an AMM price honest between arbitrage passes.","The spread between the regular-hours deviation and the closed-market drift is the number this bench exists for: pools keep trading nights and weekends with no reference to arb against, and the drift until Monday open is measurable here, live.","Of the ~95 equities Robinhood tokenized, only 14 have a pool anyone actually trades. The other 80 sit in issuer-seeded placeholder pools at 90-95% fees with zero swaps. Tokenization is easy; markets are hard."],"source":"https://github.com/ChainBench/OpenChainBench/tree/main/harnesses/tokenized-stock-peg","results":[{"name":"NVDA","slug":"nvda","tag":"Nvidia, ~$290k pool depth, 0.3% fee","ms":{"p50":10.4381,"p90":24.3098,"p99":35.7351,"mean":15.1245},"successRate":100,"query":"quantile_over_time(0.50, tsp_deviation_bps{issuer=\"robinhood\", asset=\"nvda\", market_state=\"regular\"}[24h])","formula":"p50 over 24h of the absolute deviation (bps) between the NVDA Uniswap v4 pool price on Robinhood Chain and the Yahoo reference, regular market hours only.","availability":"live","meta":{"observedAt":1784679903005}},{"name":"AAPL","slug":"aapl","tag":"Apple, ~$330k pool depth, 1% fee","ms":{"p50":4.7401,"p90":48.9122,"p99":97.8038,"mean":14.2714},"successRate":100,"query":"quantile_over_time(0.50, tsp_deviation_bps{issuer=\"robinhood\", asset=\"aapl\", market_state=\"regular\"}[24h])","formula":"p50 over 24h of the absolute deviation (bps) between the AAPL Uniswap v4 pool price on Robinhood Chain and the Yahoo reference, regular market hours only.","availability":"live","meta":{"observedAt":1784679903005}},{"name":"PLTR","slug":"pltr","tag":"Palantir, ~$31k pool depth, 1% fee","ms":{"p50":435.091,"p90":435.091,"p99":435.091,"mean":273.879},"successRate":100,"query":"quantile_over_time(0.50, tsp_deviation_bps{issuer=\"robinhood\", asset=\"pltr\", market_state=\"regular\"}[24h])","formula":"p50 over 24h of the absolute deviation (bps) between the PLTR Uniswap v4 pool price on Robinhood Chain and the Yahoo reference, regular market hours only.","availability":"live","meta":{"observedAt":1784679903005}},{"name":"META","slug":"meta","tag":"Meta, ~$89k pool depth, 0.3% fee","ms":{"p50":49.1763,"p90":49.1763,"p99":49.1763,"mean":40.9789},"successRate":100,"query":"quantile_over_time(0.50, tsp_deviation_bps{issuer=\"robinhood\", asset=\"meta\", market_state=\"regular\"}[24h])","formula":"p50 over 24h of the absolute deviation (bps) between the META Uniswap v4 pool price on Robinhood Chain and the Yahoo reference, regular market hours only.","availability":"live","meta":{"observedAt":1784679903005}},{"name":"AMD","slug":"amd","tag":"AMD, ~$25k pool depth, 1% fee","ms":{"p50":104.68,"p90":104.68,"p99":135.648,"mean":81.081},"successRate":100,"query":"quantile_over_time(0.50, tsp_deviation_bps{issuer=\"robinhood\", asset=\"amd\", market_state=\"regular\"}[24h])","formula":"p50 over 24h of the absolute deviation (bps) between the AMD Uniswap v4 pool price on Robinhood Chain and the Yahoo reference, regular market hours only.","availability":"live","meta":{"observedAt":1784679903005}},{"name":"MU","slug":"mu","tag":"Micron, ~$35k pool depth, 1% fee","ms":{"p50":81.5258,"p90":116.227,"p99":150.028,"mean":88.5319},"successRate":100,"query":"quantile_over_time(0.50, tsp_deviation_bps{issuer=\"robinhood\", asset=\"mu\", market_state=\"regular\"}[24h])","formula":"p50 over 24h of the absolute deviation (bps) between the MU Uniswap v4 pool price on Robinhood Chain and the Yahoo reference, regular market hours only.","availability":"live","meta":{"observedAt":1784679903005}},{"name":"GOOGL","slug":"googl","tag":"Alphabet, ~$280k pool depth, 1% fee","ms":{"p50":0,"p90":0,"p99":0,"mean":0},"successRate":0,"availability":"unavailable","formula":"p50 over 24h of the absolute deviation (bps) between the GOOGL Uniswap v4 pool price on Robinhood Chain and the Yahoo reference, regular market hours only.","meta":{"observedAt":1784679903005}},{"name":"TSLA","slug":"tsla","tag":"Tesla, most active pool of the cohort, 0.3% fee","ms":{"p50":0,"p90":0,"p99":0,"mean":0},"successRate":0,"availability":"unavailable","formula":"p50 over 24h of the absolute deviation (bps) between the TSLA Uniswap v4 pool price on Robinhood Chain and the Yahoo reference, regular market hours only.","meta":{"observedAt":1784679903005}},{"name":"MSFT","slug":"msft","tag":"Microsoft, ~$50k pool depth, 2% fee","ms":{"p50":0,"p90":0,"p99":0,"mean":0},"successRate":0,"availability":"unavailable","formula":"p50 over 24h of the absolute deviation (bps) between the MSFT Uniswap v4 pool price on Robinhood Chain and the Yahoo reference, regular market hours only.","meta":{"observedAt":1784679903005}},{"name":"AMZN","slug":"amzn","tag":"Amazon, ~$24k pool depth, 2% fee","ms":{"p50":0,"p90":0,"p99":0,"mean":0},"successRate":0,"availability":"unavailable","formula":"p50 over 24h of the absolute deviation (bps) between the AMZN Uniswap v4 pool price on Robinhood Chain and the Yahoo reference, regular market hours only.","meta":{"observedAt":1784679903005}},{"name":"SPY","slug":"spy","tag":"S&P 500 ETF, ~$65k pool depth, 1% fee","ms":{"p50":0,"p90":0,"p99":0,"mean":0},"successRate":0,"availability":"unavailable","formula":"p50 over 24h of the absolute deviation (bps) between the SPY Uniswap v4 pool price on Robinhood Chain and the Yahoo reference, regular market hours only.","meta":{"observedAt":1784679903005}}],"extras":{"series24h":{"nvda":[10.4381,10.4381,10.4381,10.4381,10.4381,10.4381,10.4381,10.4381,10.4381,10.4381,10.4381,10.4381,10.4381,10.4381,10.4381,10.4381,10.4381,10.4381,10.4381,10.4381,10.4381,10.4381,10.4381,10.4381,10.4381,10.4381,10.4381,10.4381,10.4381,10.4381,10.4381,10.4381,10.4381,10.4381,10.4381,10.4381,10.4381,10.4381,10.4381,10.4381,3.47337,32.4888,4.42684,31.1937,8.71397,27.916,4.29212,11.4366,26.1397,2.51918,32.7167,3.581,24.4064,9.84838,12.0526,3.72576,29.9852,21.2089,19.5475,24.3098,24.3098,24.3098,24.3098,24.3098,24.3098,24.3098,24.3098,24.3098,24.3098,24.3098,24.3098,24.3098,24.3098],"aapl":[4.7401,4.7401,4.7401,4.7401,4.7401,4.7401,4.7401,4.7401,4.7401,4.7401,4.7401,4.7401,4.7401,4.7401,4.7401,4.7401,4.7401,4.7401,4.7401,4.7401,4.7401,4.7401,4.7401,4.7401,4.7401,4.7401,4.7401,4.7401,4.7401,4.7401,4.7401,4.7401,4.7401,4.7401,4.7401,4.7401,4.7401,4.7401,4.7401,4.7401,19.8502,12.5026,65.4229,93.3411,72.4076,110.328,87.0948,45.6601,43.8809,6.22314,0.0915012,14.5265,6.41445,12.6139,7.96035,39.769,39.4738,2.38198,5.89657,5.99949,5.99949,5.99949,5.99949,5.99949,5.99949,5.99949,5.99949,5.99949,5.99949,5.99949,5.99949,5.99949,5.99949],"pltr":[435.091,435.091,435.091,435.091,435.091,435.091,435.091,435.091,435.091,435.091,435.091,435.091,435.091,435.091,435.091,435.091,435.091,435.091,435.091,435.091,435.091,435.091,435.091,435.091,435.091,435.091,435.091,435.091,435.091,435.091,435.091,435.091,435.091,435.091,435.091,435.091,435.091,435.091,435.091,435.091,107.007,182.909,154.269,167.141,144.685,231.447,116.196,154.062,66.495,84.7271,227.059,169.302,167.822,181.495,113.804,102.424,75.6053,69.6323,14.9475,7.42694,7.42694,7.42694,7.42694,7.42694,7.42694,7.42694,7.42694,7.42694,7.42694,7.42694,7.42694,7.42694,7.42694],"meta":[49.1763,49.1763,49.1763,49.1763,49.1763,49.1763,49.1763,49.1763,49.1763,49.1763,49.1763,49.1763,49.1763,49.1763,49.1763,49.1763,49.1763,49.1763,49.1763,49.1763,49.1763,49.1763,49.1763,49.1763,49.1763,49.1763,49.1763,49.1763,49.1763,49.1763,49.1763,49.1763,49.1763,49.1763,49.1763,49.1763,49.1763,49.1763,49.1763,49.1763,28.3076,21.6601,1.87452,14.7383,22.3857,28.3699,19.8443,31.3965,18.221,20.5896,47.9591,18.1735,50.2979,0.833737,22.0344,13.8517,23.7992,7.04836,25.6009,42.6548,42.6548,42.6548,42.6548,42.6548,42.6548,42.6548,42.6548,42.6548,42.6548,42.6548,42.6548,42.6548,42.6548],"amd":[104.68,104.68,104.68,104.68,104.68,104.68,104.68,104.68,104.68,104.68,104.68,104.68,104.68,104.68,104.68,104.68,104.68,104.68,104.68,104.68,104.68,104.68,104.68,104.68,104.68,104.68,104.68,104.68,104.68,104.68,104.68,104.68,104.68,104.68,104.68,104.68,104.68,104.68,104.68,104.68,44.3323,57.3143,27.2888,28.6083,67.9582,74.0233,82.75,66.1189,130.749,120.488,97.4158,82.8301,77.0074,78.1046,72.8047,109.059,60.5385,99.5528,128.098,12.4168,12.4168,12.4168,12.4168,12.4168,12.4168,12.4168,12.4168,12.4168,12.4168,12.4168,12.4168,12.4168,12.4168],"mu":[81.5258,81.5258,81.5258,81.5258,81.5258,81.5258,81.5258,81.5258,81.5258,81.5258,81.5258,81.5258,81.5258,81.5258,81.5258,81.5258,81.5258,81.5258,81.5258,81.5258,81.5258,81.5258,81.5258,81.5258,81.5258,81.5258,81.5258,81.5258,81.5258,81.5258,81.5258,81.5258,81.5258,81.5258,81.5258,81.5258,81.5258,81.5258,81.5258,81.5258,145.751,73.8505,132.377,142.997,118.233,54.6412,70.4496,135.502,102.136,92.505,116.062,87.6817,86.6938,51.6411,83.02,51.3957,101.124,74.5692,10.2448,116.227,116.227,116.227,116.227,116.227,116.227,116.227,116.227,116.227,116.227,116.227,116.227,116.227,116.227]},"series7d":{"nvda":[15.0378,15.0378,15.0378,15.0378,15.0378,15.0378,15.0378,35.1826,28.1975,32.0215,11.6809,11.6809,11.6809,11.6809,11.6809,11.6809,11.6809,11.6809,11.6809,7.55205,13.8816,1.38204,39.2536,39.2536,39.2536,39.2536,39.2536,39.2536,39.2536,39.2536,39.2536,15.6072,13.3623,3.12768,18.148,18.148,18.148,18.148,18.148,18.148,18.148,18.148,18.148,18.148,18.148,18.148,18.148,18.148,18.148,18.148,18.148,18.148,18.148,18.148,18.148,18.148,18.148,18.148,18.148,18.148,18.148,18.148,18.148,18.148,18.148,18.148,18.148,13.5779,28.1844,19.2048,10.4381,10.4381,10.4381,10.4381,10.4381,10.4381,10.4381,10.4381,10.4381,4.42684,26.1397,12.0526,24.3098,24.3098,24.3098],"aapl":[69.9515,69.9515,69.9515,69.9515,69.9515,69.9515,69.9515,85.9539,128.448,95.5824,93.5797,93.5797,93.5797,93.5797,93.5797,93.5797,93.5797,93.5797,93.5797,16.0358,58.3425,43.6536,75.6082,75.6082,75.6082,75.6082,75.6082,75.6082,75.6082,75.6082,75.6082,51.7446,2.93425,77.4452,79.9492,79.9492,79.9492,79.9492,79.9492,79.9492,79.9492,79.9492,79.9492,79.9492,79.9492,79.9492,79.9492,79.9492,79.9492,79.9492,79.9492,79.9492,79.9492,79.9492,79.9492,79.9492,79.9492,79.9492,79.9492,79.9492,79.9492,79.9492,79.9492,79.9492,79.9492,79.9492,79.9492,93.4727,82.7205,14.999,4.7401,4.7401,4.7401,4.7401,4.7401,4.7401,4.7401,4.7401,4.7401,65.4229,43.8809,7.96035,5.99949,5.99949,5.99949],"pltr":[351.477,351.477,351.477,351.477,351.477,351.477,351.477,390.964,323.279,356.52,341.735,341.735,341.735,341.73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price accuracy, live onchain vs Nasdaq across 12 equities on Solana","seoTitle":"xStocks price tracker 2026","seoDescription":"Do Backed's xStocks track the real market? AAPLx, TSLAx, NVDAx and 9 more on Solana vs their Nasdaq price, deviation in bps, live and keyless.","seoIntro":"Backed's xStocks are the other big tokenized equity program: 20+ US\nstocks and ETFs issued on Solana and distributed through Kraken and\nBybit, trading around the clock on Raydium and Orca with pool depths\nthat reach several million dollars. This page measures how closely\neach xStock's executable price tracks its real market reference,\nevery 60 seconds, keyless on both legs. The price measured is the\nJupiter aggregated quote for actually swapping one share in each\ndirection, so it is an executable mid, not a theoretical pool spot.\nSessions are labeled pre, regular, post and closed, and the closed\nseries is the weekend drift panel. The same methodology runs against\nRobinhood Chain's tokenized equities on the companion bench, which\nturns the two pages into the first public issuer head to head for\ntokenized stocks. Fun fact this page makes measurable: HOODx, the\ntokenized Robinhood stock, trades here on Solana, while Robinhood's\nown chain does not tokenize HOOD at all.\n","faq":[{"q":"Do xStocks track their real stock price?","a":"During regular hours the liquid names track within tens of basis points, and this page shows the live per-symbol number measured as an executable Jupiter mid, not a theoretical pool spot. Outside market hours the peg loosens by construction, and the closed-session series quantifies exactly how much."},{"q":"How is this different from the Robinhood Chain tokenized stock bench?","a":"Same methodology, different issuer and chain: Backed's xStocks on Solana measured through Jupiter, Robinhood's tokens on their own chain measured through Uniswap v4. The two benches share a metric contract, so the same equity can be compared across issuers directly, depth differences disclosed."},{"q":"Why measure the Jupiter quote instead of a specific pool?","a":"Because it is what a user actually gets: the aggregated executable route across every venue with the fee baked into the round trip. Taking the mid of both directions removes the fee component and leaves the tracking signal. A single pool spot can sit anywhere inside its fee band without being arbitrageable."},{"q":"What is the ScaledUiAmount correction?","a":"Seven xStocks mints use Token-2022 scaled amounts, where raw token units map to UI shares through a live multiplier (about 1.0009 at verification). The harness reads the multiplier every tick from Jupiter's price API and applies it, without which those symbols would carry a permanent ~9bp phantom deviation."}],"subtitle":"Absolute deviation between each xStock's executable Jupiter price on Solana and its real market reference, in basis points, labeled by market session. Companion to the Robinhood Chain tokenized stock bench: same methodology, different issuer, so the two pages read as a head to head.","category":"RWA","status":"live","editorialStatus":"live","metric":"Price deviation","unit":"bps","higherIsBetter":false,"abstract":"Every 60 seconds the harness quotes one share of each of 12 xStocks\nthrough Jupiter's keyless lite API in both directions (sell to USDC,\nbuy back), takes the executable mid, corrects for the Token-2022\nscaled amount multiplier where present, and compares against the\nYahoo reference price with holiday-aware session labels. Deviation is\n10000 x |mid - reference| / reference in basis points. Same metric\ncontract as the Robinhood Chain bench with issuer=\"xstocks\".\n","methodology":["Onchain leg: Jupiter lite-api swap quotes, keyless, both directions per symbol (sell 1 share to USDC, buy the proceeds back), spaced 1.1s apart, ~26s per sweep for 12 symbols. Price = mid of the two implied prices: an executable aggregated price across Raydium, Orca and every routed venue, not a single pool spot.","Token-2022 correction: 7 of 12 xStocks mints carry a ScaledUiAmount multiplier (~1.0009 observed). One batched price/v3 call per tick supplies the live multiplier per mint (usdPrice over usdPricePrescaled), converting raw quote units to exactly one UI share. Ignoring it would bake a ~9bp systematic error into affected symbols.","Reference leg: Yahoo Finance spark batch, one keyless call for all 12 underliers per tick, 1 minute candles; session labels (pre, regular, post, closed) derived from Yahoo currentTradingPeriod, holiday aware. HOODx maps to HOOD, SPYx to SPY, QQQx to QQQ, COINx to COIN.","Deviation: 10000 x |executable mid - reference| / reference, quantiles over 24h via quantile_over_time. Headline pins market_state=\"regular\"; the closed series is the weekend drift panel.","Cohort: the 12 xStocks with verified Jupiter routes at under 2bp of 1-share price impact (2026-07-13): TSLAx, NVDAx, AAPLx, MSFTx, AMZNx, GOOGLx, METAx, HOODx, SPYx, QQQx, COINx, PLTRx. All mints 8 decimals, verified individually; counterfeit lookalike mints excluded by address allowlist.","Round-trip honesty: the sell/buy spread observed at verification was ~11bp on TSLAx. Using the mid rather than one side keeps the fee component out of the deviation number; the spread itself is executable cost, not tracking error.","Quote asset caveat: prices are in USDC against USD references. A USDC peg wobble would appear as a correlated deviation across all 12 symbols simultaneously.","Cross-issuer reading: this bench shares its metric contract with the Robinhood Chain tokenized stock bench (issuer label). Same equity, same reference, two issuers: the pages are directly comparable, with the depth difference disclosed (Solana xStocks pools run 10x to 100x deeper)."],"findings":["NVDAx tracks its reference tightest at 0.039% (p50, 24h) across 12 measured xStocks.","TSLAx deviates 0.13% (p50, 24h) against a Raydium pool holding about $2.1M, roughly 50x the depth of the equivalent Robinhood Chain pool, and the tighter tracking that buys is exactly what the cross-issuer comparison exists to show.","HOODx (0.14%) is the page's inside joke made measurable: the tokenized Robinhood stock trades on Solana via a third-party issuer while Robinhood's own chain does not tokenize HOOD.","SPYx (0.54%) and QQQx (0.39%) give the bench its index rows, useful because index arbitrage against deep ETF markets should in theory be the tightest peg of all.","The number to watch on weekends: pools trade around the clock while the reference freezes at Friday close, and the closed-session drift measured here is the honest answer to what a 24/7 stock is worth on a Sunday."],"source":"https://github.com/ChainBench/OpenChainBench/tree/main/harnesses/xstocks-peg","results":[{"name":"TSLAx","slug":"tsla","tag":"Tesla xStock, deepest pool of the cohort (~$2.1M Raydium)","ms":{"p50":12.9036,"p90":12.9036,"p99":12.9036,"mean":8.3641},"successRate":98.9236,"query":"quantile_over_time(0.50, tsp_deviation_bps{issuer=\"xstocks\", asset=\"tsla\", market_state=\"regular\"}[24h])","formula":"p50 over 24h of the absolute deviation (bps) between the executable Jupiter mid for TSLAx on Solana and the Yahoo reference, regular market hours only.","availability":"live","meta":{"observedAt":1784679906042}},{"name":"NVDAx","slug":"nvda","tag":"Nvidia xStock, ~$2.7M Raydium pool","ms":{"p50":3.86397,"p90":6.66513,"p99":17.6441,"mean":4.61271},"successRate":100,"query":"quantile_over_time(0.50, tsp_deviation_bps{issuer=\"xstocks\", asset=\"nvda\", market_state=\"regular\"}[24h])","formula":"p50 over 24h of the absolute deviation (bps) between the executable Jupiter mid for NVDAx on Solana and the Yahoo reference, regular market hours only.","availability":"live","meta":{"observedAt":1784679906042}},{"name":"AAPLx","slug":"aapl","tag":"Apple xStock","ms":{"p50":37.1479,"p90":51.3551,"p99":51.3551,"mean":34.5637},"successRate":100,"query":"quantile_over_time(0.50, tsp_deviation_bps{issuer=\"xstocks\", asset=\"aapl\", market_state=\"regular\"}[24h])","formula":"p50 over 24h of the absolute deviation (bps) between the executable Jupiter mid for AAPLx on Solana and the Yahoo reference, regular market hours only.","availability":"live","meta":{"observedAt":1784679906042}},{"name":"MSFTx","slug":"msft","tag":"Microsoft xStock","ms":{"p50":21.6339,"p90":71.8951,"p99":75.1884,"mean":38.4057},"successRate":99.0625,"query":"quantile_over_time(0.50, tsp_deviation_bps{issuer=\"xstocks\", asset=\"msft\", market_state=\"regular\"}[24h])","formula":"p50 over 24h of the absolute deviation (bps) between the executable Jupiter mid for MSFTx on Solana and the Yahoo reference, regular market hours only.","availability":"live","meta":{"observedAt":1784679906042}},{"name":"AMZNx","slug":"amzn","tag":"Amazon xStock","ms":{"p50":9.78185,"p90":20.5189,"p99":27.7369,"mean":13.2298},"successRate":99.0625,"query":"quantile_over_time(0.50, tsp_deviation_bps{issuer=\"xstocks\", asset=\"amzn\", market_state=\"regular\"}[24h])","formula":"p50 over 24h of the absolute deviation (bps) between the executable Jupiter mid for AMZNx on Solana and the Yahoo reference, regular market hours only.","availability":"live","meta":{"observedAt":1784679906042}},{"name":"GOOGLx","slug":"googl","tag":"Alphabet xStock","ms":{"p50":33.6888,"p90":43.6235,"p99":43.9898,"mean":33.9282},"successRate":99.0625,"query":"quantile_over_time(0.50, tsp_deviation_bps{issuer=\"xstocks\", asset=\"googl\", market_state=\"regular\"}[24h])","formula":"p50 over 24h of the absolute deviation (bps) between the executable Jupiter mid for GOOGLx on Solana and the Yahoo reference, regular market hours only.","availability":"live","meta":{"observedAt":1784679906042}},{"name":"METAx","slug":"meta","tag":"Meta xStock","ms":{"p50":51.6367,"p90":56.1513,"p99":56.1513,"mean":45.1455},"successRate":100,"query":"quantile_over_time(0.50, tsp_deviation_bps{issuer=\"xstocks\", asset=\"meta\", market_state=\"regular\"}[24h])","formula":"p50 over 24h of the absolute deviation (bps) between the executable Jupiter mid for METAx on Solana and the Yahoo reference, regular market hours only.","availability":"live","meta":{"observedAt":1784679906042}},{"name":"HOODx","slug":"hood","tag":"Robinhood stock, tokenized by Backed, not by Robinhood","ms":{"p50":13.9794,"p90":25.9616,"p99":34.6825,"mean":15.9837},"successRate":99.0625,"query":"quantile_over_time(0.50, tsp_deviation_bps{issuer=\"xstocks\", asset=\"hood\", market_state=\"regular\"}[24h])","formula":"p50 over 24h of the absolute deviation (bps) between the executable Jupiter mid for HOODx on Solana and the Yahoo reference, regular market hours only.","availability":"live","meta":{"observedAt":1784679906042}},{"name":"SPYx","slug":"spy","tag":"S&P 500 ETF xStock","ms":{"p50":53.555,"p90":55.6075,"p99":57.6642,"mean":53.6552},"successRate":99.0972,"query":"quantile_over_time(0.50, tsp_deviation_bps{issuer=\"xstocks\", asset=\"spy\", market_state=\"regular\"}[24h])","formula":"p50 over 24h of the absolute deviation (bps) between the executable Jupiter mid for SPYx on Solana and the Yahoo reference, regular market hours only.","availability":"live","meta":{"observedAt":1784679906042}},{"name":"QQQx","slug":"qqq","tag":"Nasdaq 100 ETF xStock","ms":{"p50":39.4382,"p90":39.4382,"p99":39.4382,"mean":29.7147},"successRate":99.0972,"query":"quantile_over_time(0.50, tsp_deviation_bps{issuer=\"xstocks\", asset=\"qqq\", market_state=\"regular\"}[24h])","formula":"p50 over 24h of the absolute deviation (bps) between the executable Jupiter mid for QQQx on Solana and the Yahoo reference, regular market hours only.","availability":"live","meta":{"observedAt":1784679906042}},{"name":"COINx","slug":"coin","tag":"Coinbase xStock","ms":{"p50":20.8717,"p90":20.8717,"p99":33.9944,"mean":17.2526},"successRate":99.0972,"query":"quantile_over_time(0.50, tsp_deviation_bps{issuer=\"xstocks\", asset=\"coin\", market_state=\"regular\"}[24h])","formula":"p50 over 24h of the absolute deviation (bps) between the executable Jupiter mid for COINx on Solana and the Yahoo reference, regular market hours only.","availability":"live","meta":{"observedAt":1784679906042}},{"name":"PLTRx","slug":"pltr","tag":"Palantir xStock, thinnest route of the cohort (1.8bp impact)","ms":{"p50":19.9689,"p90":41.6928,"p99":81.3346,"mean":24.5852},"successRate":100,"query":"quantile_over_time(0.50, tsp_deviation_bps{issuer=\"xstocks\", asset=\"pltr\", market_state=\"regular\"}[24h])","formula":"p50 over 24h of the absolute deviation (bps) between the executable Jupiter mid for PLTRx on Solana and the Yahoo 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NAV basis, live market price vs official redemption rate","seoTitle":"USDY price vs NAV 2026","seoDescription":"Does USDY trade at its NAV? Live basis between Ondo's tokenized treasury market price (Orca, Pyth) and its official redemption rate, in bps, keyless.","seoIntro":"USDY is Ondo's yield-bearing tokenized treasury note, one of the\nlargest RWA tokens by float. Its official value is the redemption\nrate Ondo publishes (the NAV a redeeming holder receives), but its\nprice on the open market is whatever the pools say. This page\nmeasures the gap live: the Orca USDY/USDC whirlpool on Solana (the\ndeepest genuine venue, about $2.9M) and the Pyth market composite,\neach against the Pyth redemption rate feed, every 60 seconds,\nkeyless on every leg. A persistent negative basis means the market\ndiscounts the NAV (liquidity preference, exit friction); a positive\none means buyers pay a premium over redemption value. Most tokenized\ntreasuries (OUSG, BUIDL, BENJI) are transfer-restricted and never\ntrade on open pools, so their NAV can never be market-tested; USDY\nis the rare one where the question is measurable at all.\n","faq":[{"q":"Does USDY trade at its NAV?","a":"Close to it, with a measurable basis that this page tracks live. At verification the Orca pool sat within a few bps of the redemption rate and the Pyth market composite about 10bps under. A persistent discount reflects exit friction and liquidity preference, not a broken product; the point is that it is now measured instead of assumed."},{"q":"Why only two venues?","a":"Because genuine USDY liquidity is rarer than the token's float suggests. The Arbitrum Camelot pool is drained and excluded (232 USDY left, price frozen well under NAV), and most other tokenized treasuries never trade openly at all. Two honest venues beat five misleading ones."},{"q":"What does a negative basis mean?","a":"The market prices USDY under its redemption value. Redeeming through Ondo takes time and has minimums, so sellers who want out now accept a small discount. The size and persistence of that discount is exactly what this bench publishes."},{"q":"Why is USDY measurable when OUSG and BUIDL are not?","a":"OUSG, BUIDL and BENJI are transfer-restricted: they move between allowlisted addresses and cannot trade on open AMMs, so no market price exists to compare against NAV. USDY circulates freely and has genuine pools, which makes it the one tokenized treasury where the NAV question can be answered by measurement."}],"subtitle":"Signed basis between USDY's onchain market price and the official Ondo redemption rate published on Pyth, in basis points. Tokenized treasuries are the largest RWA segment; this is the live answer to whether the market actually prices the NAV.","category":"RWA","status":"live","editorialStatus":"live","metric":"NAV basis","unit":"bps","higherIsBetter":false,"abstract":"Every 60 seconds the harness reads the Ondo redemption rate and the\nPyth USDY/USD market composite from one Hermes call, and the Orca\nUSDY/USDC whirlpool price from one Solana getAccountInfo (sqrtPrice\ndecoded from the account bytes). Basis = (market - NAV) / NAV in\nsigned basis points per venue. No keys, no transactions.\n","methodology":["NAV leg: the Pyth Hermes feed Crypto.USDY/USD.RR (the redemption rate Ondo publishes onchain), fetched keyless. The same Hermes call carries the Pyth USDY/USD market composite, which doubles as a venue row.","Market leg, Orca: the USDY/USDC whirlpool on Solana (~$2.9M, the deepest genuine USDY pool anywhere), price decoded straight from getAccountInfo bytes (sqrtPrice u128 at offset 65, both mints 6 decimals). Keyless against a public RPC.","Basis: signed, (market - NAV) / NAV x 10000. Negative = the market discounts the NAV. The ranking sorts by absolute basis; the sign is the story and both are displayed.","Excluded, verified 2026-07-13: the Arbitrum Camelot USDY/USDC pool holds 232 USDY against 7M USDC, effectively drained, its stale price sitting ~345bps under NAV with near zero volume. Kept out of the ranking as the textbook example of why pool depth gates peg quality; revisited monthly.","Also not measurable, disclosed: OUSG, BUIDL and BENJI are transfer-restricted mint/redeem instruments with no genuine open pools, so no market test of their NAV exists to publish.","USDY is yield accruing: the redemption rate rises daily, so a naive USD peg comparison would show permanent drift. Comparing against the live RR feed removes that by construction."],"findings":["Orca (Solana) trades closest to NAV at 0.038% (p50 absolute basis, 24h) across 2 measured venues.","Orca (Solana) (0.038%) is the deepest genuine USDY venue anywhere at about $2.9M; its basis is the closest thing to a market verdict on Ondo's published NAV.","Pyth market composite (0.19%) aggregates offchain and onchain USDY trading into one composite; its spread against the RR feed is the cleanest single number for the NAV discount.","The excluded Camelot pool on Arbitrum is the finding that did not make the table: drained to 232 USDY, price frozen ~345bps under NAV. Depth is not a detail in RWA pricing, it is the whole game."],"source":"https://github.com/ChainBench/OpenChainBench/tree/main/harnesses/usdy-nav-basis","results":[{"name":"Orca (Solana)","slug":"orca-solana","tag":"USDY/USDC whirlpool, ~$2.9M, deepest genuine USDY venue","ms":{"p50":3.83645,"p90":4.14161,"p99":5.09696,"mean":3.88499},"successRate":69.9306,"query":"quantile_over_time(0.50, abs(usdy_basis_bps{venue=\"orca-solana\"})[24h:])","formula":"p50 over 24h of the absolute signed basis (bps) between the Orca whirlpool USDY/USDC price and the Pyth redemption rate.","availability":"live","meta":{"observedAt":1784679903196}},{"name":"Pyth market composite","slug":"pyth-market","tag":"Crypto.USDY/USD aggregate vs the RR feed, same oracle network","ms":{"p50":19.2493,"p90":24.9457,"p99":27.6089,"mean":18.8863},"successRate":99.9306,"query":"quantile_over_time(0.50, abs(usdy_basis_bps{venue=\"pyth-market\"})[24h:])","formula":"p50 over 24h of the absolute signed basis (bps) between the Pyth USDY/USD market composite and the Pyth redemption rate.","availability":"live","meta":{"observedAt":1784679903196}}],"extras":{"series24h":{"orca-solana":[-3.78129,-3.78129,-3.78129,-3.78129,-3.78129,-3.78129,-3.78129,-3.78129,-3.78116,-3.78115,-3.78127,-3.78127,-3.78121,-3.78121,-3.78116,-3.78112,-3.78112,-3.77698,-3.77698,-3.77686,-3.74563,-3.74513,-3.74513,-3.74513,-3.74513,-3.74513,-3.74507,-3.74507,-3.7463,-3.7463,-3.7463,-3.7512,-3.7512,-3.83662,-3.83662,-3.83662,-3.83645,-3.83645,-3.83645,-3.83645,-3.83645,-3.83645,-3.83645,-3.83645,-3.83645,-3.83645,-3.83685,-3.83685,-3.83685,-3.83685,-3.83685,-3.83819,-3.83819,-3.83819,-3.83819,-3.83819,-3.83819,-4.13774,-4.1398,-4.14161,-4.14161,-4.14161,-4.14161,-4.14161,-4.14161,-4.14161,-4.14161,-4.14161,-4.14161,-4.14161,-4.14161,-5.09696,-5.04407],"pyth-market":[-16.6846,-16.3352,-16.7351,-17.3346,-16.7344,-24.714,-19.9104,-17.0345,-17.1345,-16.7096,-17.0846,-16.8867,-8.84535,-6.65258,-13.4707,-8.84535,-9.32791,-17.2845,-9.04725,-12.5645,-25.3725,-26.2795,-17.2604,-10.3303,-13.9717,-7.36336,-14.8466,-16.3547,-25.3771,-24.3681,-26.4169,-26.2919,-17.599,-19.8123,-18.3286,-19.2882,-19.43,-19.2794,-17.0742,-17.5738,-16.849,-16.5349,-15.2786,-15.9853,-15.75,-15.2503,-5.47117,-23.3215,-23.3979,-27.1605,-24.0003,-23.0542,-23.0526,-23.1464,-22.6596,-21.8563,-19.866,-23.4492,-23.2046,-23.7845,-24.5069,-24.4238,-22.5686,-22.0395,-24.013,-20.8398,-20.5152,-18.7405,-18.6048,-18.5232,-18.48,-19.2807,-20.6618]},"series7d":{"orca-solana":[2.92635,2.93106,2.9311,2.60779,2.56664,2.56664,2.55757,2.55756,2.55719,2.55706,2.55706,2.55706,1.60114,1.60114,1.60231,1.59966,1.70495,1.56648,1.54523,1.54509,1.27639,1.26941,1.26713,1.26713,0.311168,0.309889,0.291616,0.291244,0.294465,0.294383,0.276756,0.273733,0.271584,0.270012,0.270005,0.274495,-0.677401,-0.651546,-0.651546,-0.651547,-0.658099,-0.661731,-0.6814,-0.681566,-0.681639,-0.681997,-0.687249,-0.687058,-1.64354,-1.82927,-1.82927,-1.82179,-1.82392,-1.82407,-1.84275,-1.85428,-1.85442,-1.85719,-1.86034,-1.86034,-2.81626,-2.81863,-2.81864,-2.81864,-2.81864,-2.82022,-2.8201,-2.82584,-2.82616,-2.82619,-2.82722,-2.82583,-3.78129,-3.78129,-3.78121,-3.77698,-3.74513,-3.7463,-3.83645,-3.83645,-3.83685,-3.83819,-4.14161,-4.14161,-5.04407],"pyth-market":[-8.64516,-6.42103,-4.83359,-14.4794,-8.08606,-4.49344,-13.2572,-13.5877,-9.83418,-10.4839,-14.7668,-15.6069,-10.0207,-7.37548,-10.4637,-11.5885,-15.7096,-11.9359,-11.5512,-13.6823,-11.1728,-12.1345,-9.42319,-11.2225,-11.2395,-12.1662,-11.1778,-11.4165,-13.1171,-12.4893,-5.06448,-14.1121,-15.0566,-11.072,-15.5132,-15.6654,-11.6723,-11.6829,-16.6488,-10.3106,-14.987,-12.9614,-15.0768,-18.1948,-15.9666,-11.613,-11.289,-11.5323,-12.387,-12.4872,-12.3492,-8.62808,-12.176,-12.8086,-14.3405,-16.6883,-13.489,-11.66,-23.4508,-12.9597,-19.6323,-14.7167,-16.1314,-18.9981,-19.8712,-19.7556,-18.8899,-23.6797,-16.8418,-12.2835,-13.4853,-17.9704,-16.6846,-19.9104,-8.84535,-9.04725,-13.9717,-26.4169,-19.43,-15.2786,-23.3979,-22.6596,-24.5069,-20.5152,-20.6618]},"series30d":{"orca-solana":[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,2.05537,0.96564,2.92635,2.55757,1.60114,1.54523,0.311168,0.276756,-0.677401,-0.6814,-1.64354,-1.84275,-2.81626,-2.8201,-3.78129,-3.83645,-5.04407],"pyth-market":[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,-12.3686,-13.0685,-8.64516,-13.2572,-10.0207,-11.5512,-11.2395,-5.06448,-11.6723,-15.0768,-12.387,-14.3405,-19.6323,-18.8899,-16.6846,-19.43,-20.6618]},"regions":{}},"sampleSize":0,"lastRunAt":"2026-07-22T00:24:48.877Z","dataAsOf":1784679903196},{"slug":"tokenized-stock-weekend-drift","number":"079","title":"Tokenized stock weekend drift, how far each equity wanders Friday to Monday","seoTitle":"Tokenized stock weekend drift 2026","seoDescription":"How far do onchain tokenized stocks drift from Friday close during the weekend? AAPL, TSLA, NVDA and 8 more measured live on Robinhood Chain, in bps.","seoIntro":"Nasdaq closes every Friday at 4 pm ET and reopens Monday at 9:30 am,\na 60 hour window with no reference price. The AMM pools on\nRobinhood Chain keep trading 24/7 anyway. This page measures how\nfar the onchain price of each tokenized stock actually wanders\nduring those 60 hours before the Monday open snaps it back. Same\ndata pipeline as the tokenized stock peg benchmark, filtered to the\nclosed session and aggregated per weekend. The interesting rows are\nthe thin pools: MSFT and AMZN drift multiple hundreds of basis\npoints on a quiet Sunday because no arbitrageur has a reference to\narb against until the bell rings on Monday. The chart nobody else\npublishes.\n","faq":[{"q":"What is the weekend drift on Robinhood Chain tokenized stocks?","a":"It is the largest gap between the pool price and Friday's Nasdaq close observed anywhere in the 60 hour weekend, per symbol, measured every 60 seconds. Nasdaq is closed all weekend but the AMM keeps trading, and this page shows how far apart the two go before the Monday open snaps them together again."},{"q":"Why do pools drift when nobody is trading?","a":"Some pools do get traded on the weekend, and even a moderate imbalance moves the price meaningfully on a thin depth. But even zero-volume pools can drift on paper if a single one-sided quote lands: the price is the last swap, and there is no reference to arb against until Monday open. That is what the number here is capturing."},{"q":"Is a high drift bad?","a":"It reads as inefficient markets on paper, but during the 60 hour Nasdaq close there is no fair value to converge to, and every drift closes at the next open. The number matters most for downstream products (lending, structured payoffs) that use the tokenized price as an oracle when the real market is closed."},{"q":"Which stocks drift the most on weekends?","a":"The pattern is fee tier times pool depth. On the current cohort, MSFT and AMZN (2 percent fee tier, sub 50k depth) hit the widest weekend drifts, sometimes several hundred basis points. NVDA and TSLA (0.3 percent fee tier, several hundred thousand of depth) drift the least."}],"subtitle":"Maximum deviation between each tokenized stock's pool price and the last Nasdaq close, measured every minute across the 60-hour closed-market window from Friday 21:00 UTC to Monday 13:30 UTC.","category":"RWA","status":"live","editorialStatus":"live","metric":"Weekend max drift","unit":"bps","higherIsBetter":false,"abstract":"Every 60 seconds during the closed market session, the harness\nrecords the deviation between the Uniswap v4 pool price on\nRobinhood Chain and the last Yahoo regular-hours close. The\nweekend metric is the maximum of that deviation over the full\n60-hour Friday-close-to-Monday-open window, per symbol. Purely\nderived from the tokenized-stock-peg series already in Prometheus,\nno new probe.\n","methodology":["Data source: the tsp_deviation_bps series emitted by the tokenized-stock-peg harness with the label market_state=\"closed\". No new probe; the metric is a recording rule on existing samples.","Session windows come from Yahoo currentTradingPeriod (holiday aware), which the harness already labels; the closed state runs from post-market close (roughly 21:00 UTC) to the next regular open (roughly 13:30 UTC).","Weekend max drift: max_over_time(tsp_deviation_bps{issuer=\"robinhood\", market_state=\"closed\"}[72h]), aggregated per calendar weekend and labeled with the ISO week. The 72h window covers all pre-market and after-hours slots on either side of the weekend, not just the 60h weekend gap.","Cohort: the 11 tokenized equities measured by the tokenized stock peg bench (NVDA, AAPL, GOOGL, TSLA, PLTR, META, AMD, MSFT, AMZN, SPY, MU). Same pool addresses, same reference, same fee tiers.","The measurement is a bound, not a fair value: an AMM can sit anywhere inside its fee band without creating arbitrage, so weekend drift on a 2 percent fee pool starts at 200 bps by construction. Read the drift number alongside the pool fee, disclosed on the tokenized-stock-peg page.","Not a claim about corporate fair value: the reference is Friday close, not the theoretical opening indication. When earnings, dividends or macro events happen on the weekend, Monday open will differ from Friday close by the same amount whether the pool moved or not."],"findings":["GOOGL held tightest last weekend at 0.37% (max drift, bps) across 11 tokenized equities.","TSLA (0.44%) has the most active pool of the cohort, and its weekend drift is the closest read on what a 24/7 stock is worth on a Sunday when nobody has a reference to arb against.","The largest weekend drifts consistently come from the thin-pool symbols (MSFT, AMZN, MU). That is not a peg failure, it is the arithmetic of a 2 percent fee band on a pool depth in the low tens of thousands.","Every reading resets at Monday open. The page is the only place that captures the intra-weekend maximum before the reset happens."],"source":"https://github.com/ChainBench/OpenChainBench/tree/main/harnesses/tokenized-stock-peg","results":[{"name":"NVDA","slug":"nvda","tag":"Nvidia, ~$290k pool depth, 0.3% fee","ms":{"p50":272.523,"p90":286.064,"p99":286.064,"mean":195.014},"successRate":100,"query":"quantile_over_time(0.50, max_over_time(tsp_deviation_bps{issuer=\"robinhood\", asset=\"nvda\", market_state=\"closed\"}[72h])[7d:6h])","formula":"Maximum deviation between the NVDA pool on Robinhood Chain and Friday's Nasdaq close, over the closed-market window, in bps.","availability":"live","meta":{"observedAt":1784679903071}},{"name":"AAPL","slug":"aapl","tag":"Apple, ~$330k pool depth, 1% fee","ms":{"p50":104.577,"p90":112.692,"p99":112.692,"mean":103.845},"successRate":100,"query":"quantile_over_time(0.50, max_over_time(tsp_deviation_bps{issuer=\"robinhood\", asset=\"aapl\", market_state=\"closed\"}[72h])[7d:6h])","formula":"Maximum deviation between the AAPL pool on Robinhood Chain and Friday's Nasdaq close, over the closed-market window, in bps.","availability":"live","meta":{"observedAt":1784679903071}},{"name":"GOOGL","slug":"googl","tag":"Alphabet, ~$280k pool depth, 1% fee","ms":{"p50":37.2271,"p90":45.3867,"p99":45.3867,"mean":30.6911},"successRate":99.0625,"query":"quantile_over_time(0.50, max_over_time(tsp_deviation_bps{issuer=\"robinhood\", asset=\"googl\", market_state=\"closed\"}[72h])[7d:6h])","formula":"Maximum deviation between the GOOGL pool and Friday's Nasdaq close, in bps.","availability":"live","meta":{"observedAt":1784679903071}},{"name":"TSLA","slug":"tsla","tag":"Tesla, most active pool of the cohort, 0.3% fee","ms":{"p50":43.8424,"p90":54.9267,"p99":54.9267,"mean":44.7236},"successRate":98.9236,"query":"quantile_over_time(0.50, max_over_time(tsp_deviation_bps{issuer=\"robinhood\", asset=\"tsla\", market_state=\"closed\"}[72h])[7d:6h])","formula":"Maximum deviation between the TSLA pool and Friday's Nasdaq close, in bps.","availability":"live","meta":{"observedAt":1784679903071}},{"name":"MSFT","slug":"msft","tag":"Microsoft, ~$50k pool depth, 2% fee","ms":{"p50":252.709,"p90":274.833,"p99":274.833,"mean":241.284},"successRate":99.0625,"query":"quantile_over_time(0.50, max_over_time(tsp_deviation_bps{issuer=\"robinhood\", asset=\"msft\", market_state=\"closed\"}[72h])[7d:6h])","formula":"Maximum deviation between the MSFT pool and Friday's Nasdaq close, in bps.","availability":"live","meta":{"observedAt":1784679903071}},{"name":"AMZN","slug":"amzn","tag":"Amazon, ~$24k pool depth, 2% fee","ms":{"p50":226.341,"p90":244.409,"p99":244.409,"mean":215.825},"successRate":99.0625,"query":"quantile_over_time(0.50, max_over_time(tsp_deviation_bps{issuer=\"robinhood\", asset=\"amzn\", market_state=\"closed\"}[72h])[7d:6h])","formula":"Maximum deviation between the AMZN pool and Friday's Nasdaq close, in bps.","availability":"live","meta":{"observedAt":1784679903071}},{"name":"META","slug":"meta","tag":"Meta, ~$89k pool depth, 0.3% fee","ms":{"p50":178.402,"p90":208.751,"p99":208.751,"mean":152.477},"successRate":100,"query":"quantile_over_time(0.50, max_over_time(tsp_deviation_bps{issuer=\"robinhood\", asset=\"meta\", market_state=\"closed\"}[72h])[7d:6h])","formula":"Maximum deviation between the META pool and Friday's Nasdaq close, in bps.","availability":"live","meta":{"observedAt":1784679903071}},{"name":"AMD","slug":"amd","tag":"AMD, ~$25k pool depth, 1% fee","ms":{"p50":400.368,"p90":414.268,"p99":414.268,"mean":339.015},"successRate":100,"query":"quantile_over_time(0.50, max_over_time(tsp_deviation_bps{issuer=\"robinhood\", asset=\"amd\", market_state=\"closed\"}[72h])[7d:6h])","formula":"Maximum deviation between the AMD pool and Friday's Nasdaq close, in 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Ethereum WebSocket newHeads push, live block-push lag across RPC providers","seoTitle":"Fastest Ethereum WebSocket RPC newHeads push 2026","seoDescription":"PublicNode pushes Ethereum newHeads first. Live WebSocket block-push lag for PublicNode, dRPC and Tenderly, measured per block against the earliest arrival in the cohort.","seoIntro":"Every trading bot, MEV searcher, liquidation keeper and live dashboard\nthat subscribes to `eth_subscribe(\"newHeads\")` cares about one number\nfirst: how many milliseconds after the network produces a block does my\nRPC provider actually push it to me? Marketing pages say \"real-time\nWebSocket streaming\"; this page says who delivers block N first and by\nhow much the others trail. The harness holds one persistent WebSocket\nper provider from the same eu-west host, timestamps every newHeads\nframe on receipt, and scores each Ethereum block as a race: the\nearliest arrival sets T0, every other provider's lag is its arrival\nminus T0. The headline is pinned to Ethereum, where all three keyless\nproviders compete; the same harness also races Base heads and Solana\nslots for cross-chain context. Because the measurement is relative,\nthe leader reads near zero by construction, so the win-rate and the\nshape of the trailing distribution (p50 vs p99) are the numbers to\nread, not the absolute magnitude. PublicNode currently leads at\n0.4 ms (p50, 24 h) across 4 measured providers.\n","faq":[{"q":"Which RPC provider pushes new Ethereum blocks first over WebSocket?","a":"PublicNode currently wins most per-block races, with a median lag of 0.4 ms versus the earliest arrival (p50, 24 h) across 4 measured keyless providers. The leaderboard re-scores on every Ethereum block, roughly every 12 seconds, so the answer reflects sustained live measurement, not a one-off test. Check the win rate and the trailers' p99 before wiring a latency-sensitive bot to any single provider."},{"q":"Why does the fastest provider show a lag near zero?","a":"By construction. Each block is scored as a race: the earliest arrival among providers defines T0 and every sample is measured against it, so the provider that wins most races accumulates mostly zero samples. This is deliberate. A single vantage point cannot measure absolute chain-to-client latency without a reference node co-located with block producers; it can measure, fairly, which provider delivers the same block earlier over the same network path. Read the leader's win rate and the trailers' distributions, not the leader's absolute number."},{"q":"Is this absolute latency from block production to my client?","a":"No. The number is relative lag versus the fastest provider observed from our eu-west host. Absolute delivery latency includes the propagation time from the block producer to each provider's infrastructure plus the path to you, which shifts with your geography. What transfers to your integration is the ordering and the spread: if a provider trails the winner by 800 ms at the median from our vantage point, its pipeline is structurally behind, and that gap does not disappear because you probe from another region."},{"q":"Could a provider cheat by pushing heads before validating them?","a":"In principle yes: pre-announcing an unvalidated head wins the race at the cost of occasionally pushing a block that gets reorged or retracted. That is why the bench exports more than the lag histogram. A provider that pushes early but wrong shows up as cohort inconsistencies, elevated reorg noise and gaps, and the coverage column (blocks seen versus the cohort maximum) penalises skipped or retracted blocks. Hash-level cross-checking against an independent reference node is planned for v2 of the harness."},{"q":"How is WebSocket head lag measured on OpenChainBench?","a":"One Go harness holds a persistent eth_subscribe('newHeads') WebSocket per provider from the same eu-west host, plus slotSubscribe for the Solana cohort. Every frame is timestamped on receipt with time.Now() precision. A block's cohort stays open for 5 seconds after the first arrival, then each provider's lag versus the earliest is observed into a Prometheus histogram (0.5 ms to 10 s buckets, sub-millisecond floor so the winner does not collapse to a single interpolation artifact); p50/p90/p99 come from histogram_quantile over the 24 h window. Connections carry a 90 s silent-subscription watchdog and exponential-backoff reconnects so a flaky endpoint degrades to health=0 instead of corrupting the race."},{"q":"Why are only PublicNode, dRPC and Tenderly listed?","a":"V1 measures the keyless tier: endpoints anyone can open a WebSocket to without an account, which is also the tier where claims are hardest to verify and marketing is loudest. Alchemy, Infura and Chainstack require API keys; the harness already accepts them via environment variables and they join the leaderboard once contributor keys are wired into the deployment. Keyed tiers usually run on better-provisioned infrastructure, so expect the keyless numbers here to be the floor, not the ceiling, of each vendor's performance."}],"subtitle":"Per-block WebSocket push lag in milliseconds versus the earliest provider to deliver the same Ethereum head, measured continuously from one eu-west vantage point.","category":"RPCs","status":"live","editorialStatus":"live","metric":"Block push lag","unit":"ms","higherIsBetter":false,"abstract":"We race RPC providers on WebSocket block delivery. One harness holds a\npersistent `eth_subscribe(\"newHeads\")` connection to each provider from\nthe same host and timestamps every head frame on receipt. Per block,\nthe earliest arrival across providers defines T0; each provider's\nsample is its own arrival minus T0, in milliseconds. A block's cohort\nstays open 5 seconds after the first arrival, then it is scored:\nlag histogram per provider, a win for the earliest, and a gap counter\nfor any live provider that never delivered the block. The measurement\nis relative to the fastest provider observed from our vantage point,\nnot an absolute network latency; the same-path subtraction is exactly\nwhat makes the ordering fair. Solana runs the identical race on\n`slotSubscribe` slot notifications.\n","methodology":["Providers measured (keyless WebSocket endpoints): PublicNode (wss://ethereum-rpc.publicnode.com), dRPC (wss://eth.drpc.org), Tenderly (wss://mainnet.gateway.tenderly.co), Onfinality (wss://eth.api.onfinality.io/public-ws). Keyed providers (Alchemy, Infura, Chainstack, QuickNode) join the cohort when contributor keys are wired via WS_URL_<PROVIDER>_ETHEREUM env vars; the harness skips them cleanly when unset.","Cohort saturation: Ankr, Blast, LlamaRPC, BlockPI, 1RPC, NodeReal and Omniatech all reject a keyless WebSocket handshake at the time of ship (verified 2026-07), which is why the keyless tier stops at four (PublicNode, dRPC, Tenderly, Onfinality).","Chains: Ethereum (headline, all three providers compete), Base via newHeads and Solana via slotSubscribe as secondary cohorts. Headline queries on this page are pinned to chain=ethereum so the ranking never mixes block cadences.","Race scoring: the first provider to deliver block N sets T0. Each provider's sample for block N is arrival(N) minus T0 in milliseconds. The cohort closes 5 seconds after the first arrival; a provider arriving later than that is scored as a missed block (ws_block_gap_total), not as a huge latency sample.","Relative, not absolute: a single vantage point cannot separate its own network path from provider pipeline time, so we subtract the two arrivals over the same path instead. Consequence: the fastest provider reads ~0 by construction, and the honest readings are win rate, the trailers' lag distribution, and gap counts, not the leader's absolute number.","Blocks where only one provider delivered within the window emit no lag samples and no win: a one-horse race carries no relative information. Gap counters still increment for live providers that missed the block.","Connection discipline: one persistent WebSocket per (provider, chain), client ping every 30s, read deadline 60s, plus a 90s head watchdog that forces a reconnect when a provider keeps the socket heartbeat alive but silently drops the subscription (a failure mode we have observed in production on other benches). Reconnects use exponential backoff 2s to 60s and are counted in ws_reconnects_total.","Coverage score: ws_head_blocks_seen_total per provider divided by the cohort maximum over the same 24h window, clamped to 1. A provider that pushes fast but skips blocks loses on this column rather than hiding in the latency percentiles.","Aggregation: per-provider lag histogram with a sub-millisecond floor (0.5 ms bucket up through 10 s tail), p50/p90/p99 via histogram_quantile over the 24h rate. Duplicate announcements of the same block on one connection are dropped; per-provider liveness is exported as ws_health (1 = connected and delivered a message in the last 120s).","Cheat vector disclosure: a provider could theoretically pre-announce heads it has not fully validated to win the race. We keyed the cohort on block number as pushed; hash-level cross-checking against a reference node is on the v2 list. Reading win rate together with the gap counter already flags a provider that pushes early but wrong (retracted heads show up as cohort inconsistencies and reorg noise).","Vantage point: a single eu-west host. Geography moves absolute arrival times but affects all providers over the same path; still, a provider whose nearest edge is far from eu-west is disadvantaged, and a us-east probe is the planned second vantage before any cross-region claim is made."],"findings":["PublicNode leads the Ethereum cohort at 0.4 ms (p50, 24 h) across 4 measured providers. Remember the construction: the per-block winner defines zero, so the leader's near-zero p50 mostly says it wins most races; the informative numbers are the trailers' medians and the p99 tails.","dRPC trails the winner by 144 ms at the median. That is the extra time a liquidation bot or MEV searcher on dRPC's keyless endpoint waits for block N after the fastest feed already delivered it.","Tenderly trails by 2.73 s (p50, 24 h). Tenderly's gateway is built around simulation and developer tooling rather than raw head-push fan-out, and the push pipeline depth shows up in this race.","The p99 column is the integration-grade number: 10.24 s / 10.24 s / 10.24 s. A provider with a tight p50 but a multi-second p99 will occasionally hand your bot a stale head exactly when the chain is busiest.","Win rate and block coverage are the robust readings. A provider can look decent on median lag while silently skipping blocks; the success column (blocks seen vs cohort max) and ws_block_gap_total keep that visible."],"source":"https://github.com/ChainBench/OpenChainBench/tree/main/harnesses/ws-head-latency","dimensions":{"region":[{"value":"all","label":"All regions"},{"value":"us-east","label":"US-East"},{"value":"eu-west","label":"EU-West"},{"value":"sgp","label":"Singapore"}]},"results":[{"name":"PublicNode","slug":"publicnode","tag":"Keyless WS, wss://ethereum-rpc.publicnode.com","ms":{"p50":0.420537,"p90":116.431,"p99":10240,"mean":26.2274},"successRate":99.96159999999999,"sampleSize":28657,"query":"histogram_quantile(0.50, sum by (le) (rate(ws_head_lag_milliseconds_bucket{provider=\"publicnode\", chain=\"ethereum\"}[24h])))","formula":"Median ms behind the earliest provider to push each Ethereum newHeads frame, from one persistent WebSocket per provider on the same eu-west host, histogram_quantile over 24h. The per-block winner scores 0 by construction.","availability":"live","dataConfidence":"healthy","sampleHealth":4.093857142857143,"meta":{"observedAt":1784679905281}},{"name":"dRPC","slug":"drpc","tag":"Keyless WS, wss://eth.drpc.org","ms":{"p50":143.828,"p90":10240,"p99":10240,"mean":324.883},"successRate":99.8988,"sampleSize":28639,"query":"histogram_quantile(0.50, sum by (le) (rate(ws_head_lag_milliseconds_bucket{provider=\"drpc\", chain=\"ethereum\"}[24h])))","formula":"Median ms behind the earliest provider to push each Ethereum newHeads frame, from one persistent WebSocket per provider on the same eu-west host, histogram_quantile over 24h. Lag is relative to the per-block winner.","availability":"live","dataConfidence":"healthy","sampleHealth":4.091285714285714,"meta":{"observedAt":1784679905281}},{"name":"Tenderly","slug":"tenderly","tag":"Keyless WS, wss://mainnet.gateway.tenderly.co","ms":{"p50":2733.84,"p90":10240,"p99":10240,"mean":1653.21},"successRate":100,"sampleSize":28667,"query":"histogram_quantile(0.50, sum by (le) (rate(ws_head_lag_milliseconds_bucket{provider=\"tenderly\", chain=\"ethereum\"}[24h])))","formula":"Median ms behind the earliest provider to push each Ethereum newHeads frame, from one persistent WebSocket per provider on the same eu-west host, histogram_quantile over 24h. Lag is relative to the per-block winner.","availability":"live","dataConfidence":"healthy","sampleHealth":4.095285714285715,"meta":{"observedAt":1784679905281}},{"name":"OnFinality","slug":"onfinality","tag":"Keyless WS, wss://eth.api.onfinality.io/public-ws","ms":{"p50":292.337,"p90":848.835,"p99":2805.83,"mean":431.317},"successRate":75.08200000000001,"sampleSize":21524.7,"query":"histogram_quantile(0.50, sum by (le) (rate(ws_head_lag_milliseconds_bucket{provider=\"onfinality\", chain=\"ethereum\"}[24h])))","formula":"Median ms behind the earliest provider to push each Ethereum newHeads frame, from one persistent WebSocket per provider on the same eu-west host, histogram_quantile over 24h. Lag is relative to the per-block 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reliable free public RPC, correctness incidents across 7 EVM chains","seoTitle":"Most reliable free public RPC 2026","seoDescription":"Free public RPCs ranked by correctness incidents: block-hash quorum disagreements, eth_getLogs completeness and eth_getBalance state integrity, live and keyless.","seoIntro":"Bench 010 answers which free public RPC is fastest; this page answers\nthe question that should come first. which one is telling the truth.\nA fast endpoint that serves a stale head, drops logs from an\neth_getLogs response, or answers eth_getBalance from a diverged state\nview is worse than a slow honest one, and none of that shows up in a\nlatency percentile. So we cross-examine the same keyless provider\ncohort the latency bench probes, continuously, on three axes. First,\nconsensus head lag: every 60 seconds each provider's reported\n(height, hash) pair feeds a per-chain quorum map, and the gap between\na provider's head and the highest head any provider reported is\npublished as a gauge. Second, hash integrity: when at least two\nproviders agree on the hash at a height, a provider reporting a\ndifferent hash at that same height is counted, once per height, as a\nmismatch incident. Third, fixed-vector integrity: every 5 minutes,\none chain at a time, every provider gets the identical eth_getLogs\nquery for the chain's canonical USDC contract over a 10-block window\nbehind the tip, plus an eth_getBalance read at the same fixed block;\nanswers are compared across providers and a deviation from the strict\nmajority is an incident. Errors count too, deliberately: 1RPC blocks\neth_getLogs outright with a -32000, and PublicNode began gating\nkeyless reads a few dozen blocks deep behind a personal token\n(-32602) in July 2026. Those are reliability failures a latency bench\nrenders invisible, and here they are the headline.\n","disclaimer":"A zero row means no incident was caught in the window, not a proof of correctness. Most providers post zero most days; this bench exists for the days they do not, and for the errors: a blocked eth_getLogs or a balance read gated behind a paid key at 40 blocks of depth counts as an incident because it is one from the caller's seat.\n","faq":[{"q":"What counts as a reliability incident?","a":"Three things, summed over 24 hours from the eu-west probe. An integrity check that errored (method blocked, depth gated behind a key, transport failure). An integrity check whose answer deviated from the strict cross-provider majority (an eth_getLogs count differing from the count at least two other providers agree on, or an eth_getBalance hex that is not byte-identical to the majority answer). And a block-hash mismatch, where the provider reported a hash at a height where at least two providers agreed on a different one. Raw counts, no weights; lower is better and zero is common."},{"q":"Why do method errors count as incidents when this is a correctness bench?","a":"Because from the caller's seat a method you cannot call is a reliability failure regardless of the reason. 1RPC blocks eth_getLogs with a -32000 error; PublicNode's keyless tier started answering balance reads a few dozen blocks deep with -32602 and a demand for a personal token. Neither returns wrong data, but both break the contract a developer assumes when pasting a no-key URL into a dapp. Counting them alongside genuine disagreements keeps the headline honest: it measures whether the endpoint reliably does what an EVM JSON-RPC endpoint is expected to do."},{"q":"Can a provider game this benchmark by special-casing the test queries?","a":"The vectors are designed to make that expensive. The eth_getLogs window is anchored at tip minus N where N rotates daily over five depths, so the exact range is never fixed; request ids rotate on every call, defeating body-keyed edge caches; and the USDC contracts are the busiest transfer contracts on each chain, so serving them correctly IS serving real traffic correctly. The head-lag and hash-quorum signals cannot be gamed at all without actually running well-synced nodes, because they are computed from the same latest-header probe the latency bench uses."},{"q":"Does a reorg unfairly flag providers as mismatching?","a":"No, by construction. During a live reorg two providers can legitimately hold different hashes at the same height. The quorum rule requires a strict plurality: one hash backed by at least two providers and strictly more than any competing hash. A two-against-two split resolves to no quorum and counts nobody, and a mismatch is booked at most once per provider per height. What remains after those guards, a provider outvoted by an established majority at a settled height, is the signal this bench exists to record."},{"q":"Why is this measured from one region only?","a":"The headline counts incidents from the eu-west vantage because correctness, unlike latency, does not depend on where the client stands: a node serving the canonical chain serves it to everyone. The honest caveat is anycast: each probe sees the serving cluster its region lands on, so a diverged cache serving only another continent is invisible to the eu-west counter. The us-east and Singapore replicas emit the same metric families, and the per-region series are on the chart for cross-checking; the headline stays single-region so the same incident is never double-counted."}],"subtitle":"Correctness incidents per 24 hours for free no-key RPC endpoints: block hashes disagreeing with the cross-provider quorum, eth_getLogs counts deviating from the majority, divergent eth_getBalance state and blocked or gated methods, measured continuously alongside consensus head lag.","category":"RPCs","status":"live","editorialStatus":"live","metric":"Reliability incidents","unit":"count","higherIsBetter":false,"abstract":"We measure the correctness of free no-key RPC endpoints, not their\nspeed. The harness reuses the bench-010 probe matrix (same providers,\nsame chains, same 60-second header fetch) and adds three metric\nfamilies. rpc_consensus_lag_blocks tracks each provider's head\nagainst the highest head seen across providers for that chain.\nrpc_hash_mismatch_total counts same-height hash disagreements with\nthe two-or-more-provider quorum, at most once per height, with a\nstrict-plurality rule so a live reorg splitting providers two against\ntwo counts nobody. rpc_integrity_check_total classifies fixed-vector\nchecks (eth_getLogs for the chain's canonical USDC over a 10-block\nwindow at a daily-rotating depth behind tip, and eth_getBalance of a\nfixed well-known address at the same block) as ok, error or disagree\nagainst the cross-provider majority. The headline is the raw\nincident count over 24 hours: errors plus disagreements plus hash\nmismatches. No weighted composite: weights invite gaming disputes,\nand an incident is an incident.\n","methodology":["Consensus lag: the bench-010 latency probe fetches the full latest header every 60 seconds per (provider, chain); its height and hash, previously discarded, feed this bench. rpc_consensus_lag_blocks is the gap between the provider's reported head and the highest head any probed provider reported for that chain (rolling max). Valid-but-stale responses still count as observations; failed probes delete the series so dead endpoints age out.","Hash quorum: per chain, a height-to-hash vote map. When one hash at height H is backed by at least 2 providers AND strictly more than any competing hash, it is canonical; a provider that reported a different hash at H is counted in rpc_hash_mismatch_total, at most once per (provider, height). A 2-2 split, the signature of a live reorg, resolves to no quorum and counts nobody.","Fixed-vector integrity, cadence: every 5 minutes ONE chain is checked, rotating through the 7 chains with a canonical high-traffic USDC deployment (Ethereum, Arbitrum, Optimism, Base, Polygon, BNB, Avalanche). Each provider on that chain gets 2 checks per round, so a single-chain provider accrues ~82 checks per day and a 7-chain provider ~575.","Logs completeness vector: eth_getLogs for the chain's canonical USDC contract (Circle native deployments; Binance-peg on BNB) over a 10-block window ending at tip minus N. Returned log counts are compared across providers; deviation from the strict majority count increments rpc_logs_disagreement_total and books a disagree incident. Live calibration on Ethereum returned 1371 logs consistently on drpc, tenderly and blastapi over the same fixed range.","Anti-gaming rotation: N rotates daily over {20, 30, 40, 50, 60} blocks, so a provider cannot special-case a published fixed range, and request ids rotate on every call (the same edge-cache defeat as the latency probe). All depths stay far inside non-archive territory, so a pruned-but-honest node is never penalized.","State consistency vector: eth_getBalance of a fixed well-known address (the same Vitalik address the archive-depth probe uses) at the tip-minus-N block. The hex answer must be byte-identical across providers; divergence from the strict majority increments rpc_state_disagreement_total. Live calibration showed byte-identical balances across all responding providers at a fixed block.","Errors are signal: rpc_integrity_check_total{result} is ok, error or disagree. error covers blocked methods (1RPC answers eth_getLogs with -32000), depth gating (PublicNode keyless regressed to under 150 blocks of archive depth in July 2026, returning -32602 asking for a personal token), and transport failures. The headline counts error and disagree alike: a method you cannot call is unreliable regardless of why.","Headline: incidents per 24h = increase of integrity checks with result error or disagree, plus increase of hash mismatches, from the eu-west vantage. Raw counts, no weighting; the p90/p99 columns are consensus-lag quantiles in blocks, published as raw companion dimensions.","Single-region disclosure: incidents are counted from the eu-west probe only. Correctness, unlike latency, is location-independent in principle, but every provider fronts with anycast, so what we audit is the serving cluster eu-west traffic lands on; a diverged cache in another region is invisible to this bench. The us-east and sgp replicas emit the same metrics for cross-checking on the time-series chart.","Quorum honesty: strict plurality everywhere. Two agreeing providers outvote one dissenter; two against two resolves to no quorum and books nothing; a lone answer with no second opinion is unverifiable, not wrong, and books ok. Disagreement requires being outvoted by an established majority.","Cohort: 12 keyless providers from the bench-010 audited matrix. Excluded: LlamaRPC (fully down, HTTP 521, already delisted from the harness), 1RPC (delisted 2026-07-09 at under 13 percent success; when probed live it also blocked eth_getLogs with -32000, exactly the incident class this bench counts), Ankr / NodeReal / GetBlock / Chainstack (key-gated). Avalanche's foundation endpoint is probed by the harness and visible on bench 010; it is left out here only to keep the cohort at 12.","Provider matrix and vector addresses are documented in harnesses/rpc-capabilities/cmd/script/config.go and integrity.go; the harness is shared with bench 010, so both benches see the identical provider set and probe budget."],"findings":["Consensus lag is real and measurable at 60-second resolution: calibration rounds of simultaneous eth_getBlockByNumber across the Ethereum cohort caught individual gateways one block behind the cross-provider tip in 2 of 4 rounds, while every provider at equal height returned byte-identical hashes. The lag gauge turns that from an anecdote into a 24h p90/p99 per provider.","The completeness gap is not hypothetical. On the same fixed 10-block USDC range, drpc, tenderly and blastapi each returned exactly 1371 logs, 1RPC refused the method with -32000, and PublicNode's keyless tier had regressed its archive depth to under 150 blocks, answering -32602 and asking for a personal token. Three providers agreed, two could not answer; both failure modes are incidents here.","State reads are the quiet good news: eth_getBalance at a fixed recent block came back byte-identical across every responding provider during calibration. rpc_state_disagreement_total exists for the day that stops being true, which is precisely the day you want a public counter.","{{name:cloudflare}} shows why errors must count: the endpoint answers HTTP 200 fast and fails inside the JSON-RPC body. A correctness bench that only compared successful answers would score it clean; counting error results books its blocked calls as the incidents they are.","Zero is the normal reading and that is the point. Free public RPCs mostly do tell the truth; the bench prices the exceptions, publicly timestamps regressions like PublicNode's July 2026 keyless depth gating, and gives the honest majority a way to prove they stayed honest."],"source":"https://github.com/ChainBench/OpenChainBench/tree/main/harnesses/rpc-capabilities","dimensions":{"chain":[{"value":"all","label":"All chains"},{"value":"ethereum","label":"Ethereum"},{"value":"polygon","label":"Polygon"},{"value":"arbitrum","label":"Arbitrum"},{"value":"optimism","label":"Optimism"},{"value":"base","label":"Base"},{"value":"bnb","label":"BNB Chain"},{"value":"avalanche","label":"Avalanche"}]},"ledgerColumns":[{"label":"Incidents 24h","slot":"p50","unit":"count"},{"label":"Head lag p90","slot":"p90","unit":"count"},{"label":"Head lag p99","slot":"p99","unit":"count"}],"results":[{"name":"PublicNode","slug":"publicnode","tag":"Allnodes-operated; keyless archive depth gated since July 2026","ms":{"p50":5.00083,"p90":0,"p99":0.142857,"mean":0.00514309},"successRate":99.1319,"sampleSize":576.092,"query":"sum(increase(rpc_integrity_check_total{provider=\"publicnode\",region=\"eu-west\",result=~\"error|disagree\"}[24h])) + sum(increase(rpc_hash_mismatch_total{provider=\"publicnode\",region=\"eu-west\"}[24h]))","formula":"Incidents in 24h (eu-west): integrity checks (USDC eth_getLogs count, eth_getBalance bytes) that errored or diverged from the cross-provider majority, plus block-hash quorum disagreements, summed over its measured chains.","availability":"live","dataConfidence":"healthy","sampleHealth":14.4023,"meta":{"observedAt":1784679901398}},{"name":"dRPC","slug":"drpc","tag":"Decentralized RPC mesh, consensus-checked routing","ms":{"p50":179.029,"p90":0.0833333,"p99":0.25,"mean":0.0678202},"successRate":69.4445,"sampleSize":576.094,"query":"sum(increase(rpc_integrity_check_total{provider=\"drpc\",region=\"eu-west\",result=~\"error|disagree\"}[24h])) + sum(increase(rpc_hash_mismatch_total{provider=\"drpc\",region=\"eu-west\"}[24h]))","formula":"Incidents in 24h (eu-west): integrity checks (USDC eth_getLogs count, eth_getBalance bytes) that errored or diverged from the cross-provider majority, plus block-hash quorum disagreements, summed over its measured chains.","availability":"live","dataConfidence":"healthy","sampleHealth":14.402350000000002,"meta":{"observedAt":1784679901398}},{"name":"Tenderly","slug":"tenderly","tag":"Multi-chain public gateway, no key","ms":{"p50":5.00059,"p90":0,"p99":0,"mean":0.00141409},"successRate":99.39280000000001,"sampleSize":494.08,"query":"sum(increase(rpc_integrity_check_total{provider=\"tenderly\",region=\"eu-west\",result=~\"error|disagree\"}[24h])) + sum(increase(rpc_hash_mismatch_total{provider=\"tenderly\",region=\"eu-west\"}[24h]))","formula":"Incidents in 24h (eu-west): integrity checks (USDC eth_getLogs count, eth_getBalance bytes) that errored or diverged from the cross-provider majority, plus block-hash quorum disagreements, summed over its measured chains.","availability":"live","dataConfidence":"healthy","sampleHealth":12.352,"meta":{"observedAt":1784679901398}},{"name":"Nodies","slug":"nodies","tag":"POKT Network's decentralized public RPC successor","ms":{"p50":43.0069,"p90":0,"p99":0.166667,"mean":0.0373386},"successRate":91.2602,"sampleSize":492.079,"query":"sum(increase(rpc_integrity_check_total{provider=\"nodies\",region=\"eu-west\",result=~\"error|disagree\"}[24h])) + sum(increase(rpc_hash_mismatch_total{provider=\"nodies\",region=\"eu-west\"}[24h]))","formula":"Incidents in 24h (eu-west): integrity checks (USDC eth_getLogs count, eth_getBalance bytes) that errored or diverged from the cross-provider majority, plus block-hash quorum disagreements, summed over its measured chains.","availability":"live","dataConfidence":"healthy","sampleHealth":12.301975,"meta":{"observedAt":1784679901398}},{"name":"Lava","slug":"lava","tag":"Decentralized RPC mesh (ETH + Arbitrum no-key)","ms":{"p50":0,"p90":0,"p99":0,"mean":0.176516},"successRate":100,"sampleSize":164.026,"query":"sum(increase(rpc_integrity_check_total{provider=\"lava\",region=\"eu-west\",result=~\"error|disagree\"}[24h])) + sum(increase(rpc_hash_mismatch_total{provider=\"lava\",region=\"eu-west\"}[24h]))","formula":"Incidents in 24h (eu-west) on Ethereum and Arbitrum: integrity checks (USDC eth_getLogs count, eth_getBalance bytes) that errored or diverged from the cross-provider majority, plus block-hash quorum disagreements.","availability":"live","dataConfidence":"healthy","sampleHealth":4.10065,"meta":{"observedAt":1784679901398}},{"name":"MeowRPC","slug":"meowrpc","tag":"Free public RPC (ETH + Arbitrum)","ms":{"p50":104.017,"p90":3,"p99":6,"mean":0.591509},"successRate":36.5854,"sampleSize":164.026,"query":"sum(increase(rpc_integrity_check_total{provider=\"meowrpc\",region=\"eu-west\",result=~\"error|disagree\"}[24h])) + sum(increase(rpc_hash_mismatch_total{provider=\"meowrpc\",region=\"eu-west\"}[24h]))","formula":"Incidents in 24h (eu-west) on Ethereum and Arbitrum: integrity checks (USDC eth_getLogs count, eth_getBalance bytes) that errored or diverged from the cross-provider majority, plus block-hash quorum disagreements.","availability":"live","dataConfidence":"healthy","sampleHealth":4.10065,"meta":{"observedAt":1784679901398}},{"name":"Flashbots","slug":"flashbots","tag":"Private-mempool read proxy, Ethereum only","ms":{"p50":17.0015,"p90":0,"p99":0,"mean":0},"successRate":80.4889,"sampleSize":82.0119,"query":"sum(increase(rpc_integrity_check_total{provider=\"flashbots\",region=\"eu-west\",result=~\"error|disagree\"}[24h])) + sum(increase(rpc_hash_mismatch_total{provider=\"flashbots\",region=\"eu-west\"}[24h]))","formula":"Incidents in 24h (eu-west) on Ethereum: integrity checks (USDC eth_getLogs count, eth_getBalance bytes) that errored or diverged from the cross-provider majority, plus block-hash quorum disagreements.","availability":"live","dataConfidence":"healthy","sampleHealth":2.0502975,"meta":{"observedAt":1784679901398}},{"name":"Cloudflare","slug":"cloudflare","tag":"Permissioned mode; the errors-are-signal exhibit","ms":{"p50":0,"p90":0,"p99":0,"mean":0},"successRate":0,"sampleSize":82.0131,"availability":"unavailable","unresponsive":true,"formula":"Incidents in 24h (eu-west) on Ethereum: integrity checks (USDC eth_getLogs count, eth_getBalance bytes) that errored or diverged from the cross-provider majority, plus block-hash quorum disagreements. Blocked methods count as errors.","meta":{"observedAt":1784679901398}},{"name":"Base","slug":"base-official","tag":"Coinbase-operated, Base mainnet only","ms":{"p50":0,"p90":0,"p99":0,"mean":0},"successRate":100,"sampleSize":82.013,"query":"sum(increase(rpc_integrity_check_total{provider=\"base-official\",region=\"eu-west\",result=~\"error|disagree\"}[24h])) + sum(increase(rpc_hash_mismatch_total{provider=\"base-official\",region=\"eu-west\"}[24h]))","formula":"Incidents in 24h (eu-west) on Base: integrity checks (USDC eth_getLogs count, eth_getBalance bytes) that errored or diverged from the cross-provider majority, plus block-hash quorum disagreements.","availability":"live","dataConfidence":"healthy","sampleHealth":2.050325,"meta":{"observedAt":1784679901398}},{"name":"Arbitrum","slug":"arbitrum-official","tag":"Arbitrum Foundation RPC, Arbitrum One only","ms":{"p50":0,"p90":0,"p99":0,"mean":0.00138913},"successRate":100,"sampleSize":82.013,"query":"sum(increase(rpc_integrity_check_total{provider=\"arbitrum-official\",region=\"eu-west\",result=~\"error|disagree\"}[24h])) + sum(increase(rpc_hash_mismatch_total{provider=\"arbitrum-official\",region=\"eu-west\"}[24h]))","formula":"Incidents in 24h (eu-west) on Arbitrum One: integrity checks (USDC eth_getLogs count, eth_getBalance bytes) that errored or diverged from the cross-provider majority, plus block-hash quorum disagreements.","availability":"live","dataConfidence":"healthy","sampleHealth":2.050325,"meta":{"observedAt":1784679901398}},{"name":"Optimism","slug":"optimism-official","tag":"Optimism Foundation RPC, OP mainnet only","ms":{"p50":0,"p90":0,"p99":0,"mean":0},"successRate":100,"sampleSize":82.0129,"query":"sum(increase(rpc_integrity_check_total{provider=\"optimism-official\",region=\"eu-west\",result=~\"error|disagree\"}[24h])) + 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read proxy, Ethereum only","ms":{"p50":17.002,"p90":0,"p99":0,"mean":0},"successRate":80.4886,"sampleSize":82.0134,"query":"sum(increase(rpc_integrity_check_total{provider=\"flashbots\",region=\"eu-west\",result=~\"error|disagree\",chain=\"ethereum\"}[24h])) + sum(increase(rpc_hash_mismatch_total{provider=\"flashbots\",region=\"eu-west\",chain=\"ethereum\"}[24h]))","formula":"Incidents in 24h (eu-west) on Ethereum: integrity checks (USDC eth_getLogs count, eth_getBalance bytes) that errored or diverged from the cross-provider majority, plus block-hash quorum disagreements.","availability":"live"},"polygon":{"name":"Tenderly","slug":"tenderly","tag":"Multi-chain public gateway, no key","ms":{"p50":3.00034,"p90":0,"p99":0,"mean":0.00332633},"successRate":96.3417,"sampleSize":82.0141,"query":"sum(increase(rpc_integrity_check_total{provider=\"tenderly\",region=\"eu-west\",result=~\"error|disagree\",chain=\"polygon\"}[24h])) + sum(increase(rpc_hash_mismatch_total{provider=\"tenderly\",region=\"eu-west\",chain=\"polygon\"}[24h]))","formula":"Incidents in 24h (eu-west): integrity checks (USDC eth_getLogs count, eth_getBalance bytes) that errored or diverged from the cross-provider majority, plus block-hash quorum disagreements, summed over its measured chains.","availability":"live"},"arbitrum":{"name":"dRPC","slug":"drpc","tag":"Decentralized RPC mesh, consensus-checked routing","ms":{"p50":37.0064,"p90":0,"p99":0,"mean":0.0302782},"successRate":54.87800000000001,"sampleSize":82.0142,"query":"sum(increase(rpc_integrity_check_total{provider=\"drpc\",region=\"eu-west\",result=~\"error|disagree\",chain=\"arbitrum\"}[24h])) + sum(increase(rpc_hash_mismatch_total{provider=\"drpc\",region=\"eu-west\",chain=\"arbitrum\"}[24h]))","formula":"Incidents in 24h (eu-west): integrity checks (USDC eth_getLogs count, eth_getBalance bytes) that errored or diverged from the cross-provider majority, plus block-hash quorum disagreements, summed over its measured chains.","availability":"live"},"optimism":{"name":"dRPC","slug":"drpc","tag":"Decentralized RPC mesh, consensus-checked routing","ms":{"p50":27.0047,"p90":0,"p99":0,"mean":0},"successRate":67.0732,"sampleSize":82.0142,"query":"sum(increase(rpc_integrity_check_total{provider=\"drpc\",region=\"eu-west\",result=~\"error|disagree\",chain=\"optimism\"}[24h])) + sum(increase(rpc_hash_mismatch_total{provider=\"drpc\",region=\"eu-west\",chain=\"optimism\"}[24h]))","formula":"Incidents in 24h (eu-west): integrity checks (USDC eth_getLogs count, eth_getBalance bytes) that errored or diverged from the cross-provider majority, plus block-hash quorum disagreements, summed over its measured chains.","availability":"live"},"base":{"name":"dRPC","slug":"drpc","tag":"Decentralized RPC mesh, consensus-checked routing","ms":{"p50":26.0045,"p90":0,"p99":0,"mean":0},"successRate":68.2927,"sampleSize":82.0142,"query":"sum(increase(rpc_integrity_check_total{provider=\"drpc\",region=\"eu-west\",result=~\"error|disagree\",chain=\"base\"}[24h])) + sum(increase(rpc_hash_mismatch_total{provider=\"drpc\",region=\"eu-west\",chain=\"base\"}[24h]))","formula":"Incidents in 24h (eu-west): integrity checks (USDC eth_getLogs count, eth_getBalance bytes) that errored or diverged from the cross-provider majority, plus block-hash quorum disagreements, summed over its measured chains.","availability":"live"},"bnb":{"name":"PublicNode","slug":"publicnode","tag":"Allnodes-operated; keyless archive depth gated since July 2026","ms":{"p50":4.00069,"p90":0,"p99":0,"mean":0},"successRate":95.122,"sampleSize":82.0142,"query":"sum(increase(rpc_integrity_check_total{provider=\"publicnode\",region=\"eu-west\",result=~\"error|disagree\",chain=\"bnb\"}[24h])) + sum(increase(rpc_hash_mismatch_total{provider=\"publicnode\",region=\"eu-west\",chain=\"bnb\"}[24h]))","formula":"Incidents in 24h (eu-west): integrity checks (USDC eth_getLogs count, eth_getBalance bytes) that errored or diverged from the cross-provider majority, plus block-hash quorum disagreements, summed over its measured chains.","availability":"live"},"avalanche":{"name":"PublicNode","slug":"publicnode","tag":"Allnodes-operated; keyless archive depth gated since July 2026","ms":{"p50":1.00017,"p90":0,"p99":0,"mean":0},"successRate":98.8095,"sampleSize":84.0119,"query":"sum(increase(rpc_integrity_check_total{provider=\"publicnode\",region=\"eu-west\",result=~\"error|disagree\",chain=\"avalanche\"}[24h])) + sum(increase(rpc_hash_mismatch_total{provider=\"publicnode\",region=\"eu-west\",chain=\"avalanche\"}[24h]))","formula":"Incidents in 24h (eu-west): integrity checks (USDC eth_getLogs count, eth_getBalance bytes) that errored or diverged from the cross-provider majority, plus block-hash quorum disagreements, summed over its measured chains.","availability":"live"}},"worstPerChain":{"ethereum":{"name":"MeowRPC","slug":"meowrpc","tag":"Free public RPC (ETH + Arbitrum)","ms":{"p50":63.0109,"p90":0,"p99":0,"mean":0},"successRate":23.1707,"sampleSize":82.0142,"query":"sum(increase(rpc_integrity_check_total{provider=\"meowrpc\",region=\"eu-west\",result=~\"error|disagree\",chain=\"ethereum\"}[24h])) + sum(increase(rpc_hash_mismatch_total{provider=\"meowrpc\",region=\"eu-west\",chain=\"ethereum\"}[24h]))","formula":"Incidents in 24h (eu-west) on Ethereum and Arbitrum: integrity checks (USDC eth_getLogs count, eth_getBalance bytes) that errored or diverged from the cross-provider majority, plus block-hash quorum disagreements.","availability":"live"},"polygon":{"name":"Nodies","slug":"nodies","tag":"POKT Network's decentralized public RPC successor","ms":{"p50":43.0075,"p90":0,"p99":0,"mean":0.200415},"successRate":47.561,"sampleSize":82.0142,"query":"sum(increase(rpc_integrity_check_total{provider=\"nodies\",region=\"eu-west\",result=~\"error|disagree\",chain=\"polygon\"}[24h])) + sum(increase(rpc_hash_mismatch_total{provider=\"nodies\",region=\"eu-west\",chain=\"polygon\"}[24h]))","formula":"Incidents in 24h (eu-west): integrity checks (USDC eth_getLogs count, eth_getBalance bytes) that errored or diverged from the cross-provider majority, plus block-hash quorum disagreements, summed over its measured chains.","availability":"live"},"arbitrum":{"name":"MeowRPC","slug":"meowrpc","tag":"Free public RPC (ETH + Arbitrum)","ms":{"p50":41.0071,"p90":6,"p99":12,"mean":1.18403},"successRate":50,"sampleSize":82.0142,"query":"sum(increase(rpc_integrity_check_total{provider=\"meowrpc\",region=\"eu-west\",result=~\"error|disagree\",chain=\"arbitrum\"}[24h])) + sum(increase(rpc_hash_mismatch_total{provider=\"meowrpc\",region=\"eu-west\",chain=\"arbitrum\"}[24h]))","formula":"Incidents in 24h (eu-west) on Ethereum and Arbitrum: integrity checks (USDC eth_getLogs count, eth_getBalance bytes) that errored or diverged from the cross-provider majority, plus block-hash quorum disagreements.","availability":"live"},"optimism":{"name":"dRPC","slug":"drpc","tag":"Decentralized RPC mesh, consensus-checked routing","ms":{"p50":27.0047,"p90":0,"p99":0,"mean":0},"successRate":67.0732,"sampleSize":82.0142,"query":"sum(increase(rpc_integrity_check_total{provider=\"drpc\",region=\"eu-west\",result=~\"error|disagree\",chain=\"optimism\"}[24h])) + sum(increase(rpc_hash_mismatch_total{provider=\"drpc\",region=\"eu-west\",chain=\"optimism\"}[24h]))","formula":"Incidents in 24h (eu-west): integrity checks (USDC eth_getLogs count, eth_getBalance bytes) that errored or diverged from the cross-provider majority, plus block-hash quorum disagreements, summed over its measured chains.","availability":"live"},"base":{"name":"dRPC","slug":"drpc","tag":"Decentralized RPC mesh, consensus-checked routing","ms":{"p50":26.0045,"p90":0,"p99":0,"mean":0},"successRate":68.2927,"sampleSize":82.0142,"query":"sum(increase(rpc_integrity_check_total{provider=\"drpc\",region=\"eu-west\",result=~\"error|disagree\",chain=\"base\"}[24h])) + sum(increase(rpc_hash_mismatch_total{provider=\"drpc\",region=\"eu-west\",chain=\"base\"}[24h]))","formula":"Incidents in 24h (eu-west): integrity checks (USDC eth_getLogs count, eth_getBalance bytes) that errored or diverged from the cross-provider majority, plus block-hash quorum disagreements, summed over its measured chains.","availability":"live"},"bnb":{"name":"dRPC","slug":"drpc","tag":"Decentralized RPC mesh, consensus-checked routing","ms":{"p50":57.0099,"p90":0,"p99":0,"mean":0},"successRate":30.4878,"sampleSize":82.0142,"query":"sum(increase(rpc_integrity_check_total{provider=\"drpc\",region=\"eu-west\",result=~\"error|disagree\",chain=\"bnb\"}[24h])) + sum(increase(rpc_hash_mismatch_total{provider=\"drpc\",region=\"eu-west\",chain=\"bnb\"}[24h]))","formula":"Incidents in 24h (eu-west): integrity checks (USDC eth_getLogs count, eth_getBalance bytes) that errored or diverged from the cross-provider majority, plus block-hash quorum disagreements, summed over its measured chains.","availability":"live"},"avalanche":{"name":"dRPC","slug":"drpc","tag":"Decentralized RPC mesh, consensus-checked routing","ms":{"p50":12.0018,"p90":0,"p99":0,"mean":0},"successRate":85.71459999999999,"sampleSize":84.0143,"query":"sum(increase(rpc_integrity_check_total{provider=\"drpc\",region=\"eu-west\",result=~\"error|disagree\",chain=\"avalanche\"}[24h])) + sum(increase(rpc_hash_mismatch_total{provider=\"drpc\",region=\"eu-west\",chain=\"avalanche\"}[24h]))","formula":"Incidents in 24h (eu-west): integrity checks (USDC eth_getLogs count, eth_getBalance bytes) that errored or diverged from the cross-provider majority, plus block-hash quorum disagreements, summed over its measured chains.","availability":"live"}},"providersPerChain":{"ethereum":["drpc","meowrpc","flashbots"],"polygon":["tenderly","nodies"],"arbitrum":["drpc","meowrpc"],"optimism":["drpc"],"base":["drpc"],"bnb":["publicnode","drpc","binance"],"avalanche":["publicnode","drpc"]},"cellRanks":{"arbitrum|all":[{"slug":"arbitrum-official","p50":0.001},{"slug":"lava","p50":0.001},{"slug":"nodies","p50":0.001},{"slug":"publicnode","p50":0.001},{"slug":"tenderly","p50":0.001},{"slug":"drpc","p50":37.00642472651502},{"slug":"meowrpc","p50":41.00711929154367}],"avalanche|all":[{"slug":"tenderly","p50":0.001},{"slug":"publicnode","p50":1.0001736412571627},{"slug":"drpc","p50":12.001837240261619}],"base|all":[{"slug":"base-official","p50":0.001},{"slug":"nodies","p50":0.001},{"slug":"publicnode","p50":0.001},{"slug":"tenderly","p50":0.001},{"slug":"drpc","p50":26.00451467268623}],"bnb|all":[{"slug":"nodies","p50":0.001},{"slug":"publicnode","p50":4.000694565028651},{"slug":"binance","p50":41.00711929154367},{"slug":"drpc","p50":57.00989755165827}],"ethereum|all":[{"slug":"lava","p50":0.001},{"slug":"nodies","p50":0.001},{"slug":"publicnode","p50":0.001},{"slug":"tenderly","p50":0.001},{"slug":"flashbots","p50":17.002113954969033},{"slug":"drpc","p50":17.002951901371766},{"slug":"meowrpc","p50":63.01093939920125},{"slug":"cloudflare","p50":82.01423858308733}],"optimism|all":[{"slug":"nodies","p50":0.001},{"slug":"optimism-official","p50":0.001},{"slug":"publicnode","p50":0.001},{"slug":"tenderly","p50":0.001},{"slug":"drpc","p50":27.00468831394339}],"polygon|all":[{"slug":"drpc","p50":0.001},{"slug":"publicnode","p50":0.001},{"slug":"tenderly","p50":3.000373050876888},{"slug":"nodies","p50":43.007466574058}]},"expectedN":40,"dataConfidence":"healthy","dataAsOf":1784679901398},{"slug":"evm-block-builders","number":"085","title":"Ethereum block builder market share","seoTitle":"Ethereum block builders benchmark 2026, live builder market share","seoDescription":"Live benchmark of who builds Ethereum blocks. Builder market share attributed via block extraData, cross-checked against MEV-Boost relay bidtraces.","seoIntro":"Who actually builds Ethereum? Since MEV-Boost, validators outsource\nblock construction to a handful of specialized builders, and the\nbuilders sign their work: each stamps a self-label into the block's\nextraData field (\"Titan (titanbuilder.xyz)\", \"beaverbuild.org\", and\nso on). This benchmark decodes the extraData of every mainnet block,\nattributes it to a curated table of known builder tags, and publishes\nthe live market share. The result is the concentration story in one\nchart: 95 percent plus of Ethereum blocks are built by a handful of\nprivate builders, and the top two regularly build most of the chain.\nBlocks carrying an execution client's default tag (geth, reth,\nnethermind, besu version strings) are counted as vanilla, meaning the\nproposer built locally instead of outsourcing; that row is the live\nmeasure of how much of Ethereum still self-builds. As an independent\ncross-check the harness also polls the public bidtrace data APIs of\nseven MEV-Boost relays (Flashbots, ultrasound, Agnostic, bloXroute\nmax-profit and regulated, Titan, Aestus) and counts delivered\npayloads per relay, a signal that does not depend on any builder's\nself-chosen label.\n","disclaimer":"Attribution relies on the extraData tag each builder voluntarily stamps into its blocks. A builder can change or strip its tag at any time; unrecognized tags land in the Other row and every raw string is logged so the table grows. High share is a centralization datapoint, not a quality ranking.\n","faq":[{"q":"How is a block attributed to a builder?","a":"Builders stamp a self-label into the 32-byte extraData field of every block they construct, for example 'Titan (titanbuilder.xyz)' or 'beaverbuild.org'. The harness decodes extraData to ASCII and matches it against a curated substring table. Empty or client-default extraData (geth, reth, nethermind version strings) means the proposer built the block locally and counts as vanilla. Unrecognized tags count as Other and are logged raw so the table grows. At inception, 98 percent of a live 50-block sample attributed cleanly."},{"q":"Can a builder game this by changing its extraData?","a":"Yes, extraData is voluntary self-labeling, and that is disclosed as the bench's main caveat. A builder could blank its tag (blocks would fall into Other, and the unattributed counter plus raw-string logging would surface the shift within hours) or imitate another builder's tag (detectable by divergence against relay bidtraces, which report the builder's signing pubkey rather than its label). In practice builders keep their tags stable because the label is marketing: searchers pick builders partly on public share stats."},{"q":"Why do the p50, p90 and p99 columns show the same number?","a":"This bench has no latency dimension, so the percentile slots are repurposed, same convention as bench 016. Every aggregate column carries the builder's 24h block share; the sample column carries the raw block count and the success column reports the harness's own RPC poll health, not anything about the builder. The ranking signal is the share itself."},{"q":"What is the relay cross-check and why does it not sum to 100 percent?","a":"Seven MEV-Boost relays expose a public data API listing every payload they delivered to a proposer. The harness counts delivered payloads per relay every five minutes. Because builders submit the same bid through several relays and every relay that carried the winning payload reports it, one block can legitimately appear on multiple relays. Relay counts therefore measure relay market share and act as an attribution sanity check independent of extraData; they are not a partition of blocks and do not sum to the block count."},{"q":"Why does builder concentration matter?","a":"Under MEV-Boost, validators outsource block construction, so whoever builds most blocks decides transaction ordering and inclusion for most of Ethereum. Concentration in two or three private firms creates censorship surface (a dominant builder filtering transactions affects most blocks), a single point of failure for liveness of the fee market, and information asymmetry for anyone trading on-chain. Projects like BuilderNet exist specifically to mutualize this layer; this bench provides the neutral number for whether concentration is getting better or worse."}],"subtitle":"Share of Ethereum mainnet blocks attributed to each block builder via the extraData self-label, cross-checked against relay bidtraces. Observational, no transactions sent.","category":"Trading","status":"live","editorialStatus":"live","metric":"Block share (24h)","unit":"pct","higherIsBetter":true,"abstract":"We attribute every Ethereum mainnet block to its builder by decoding\nthe block's extraData field, the 32 bytes a builder uses to sign its\nwork in human-readable ASCII. The harness polls the head of the chain\nthrough a keyless public RPC once per 12 second slot, backfills any\nblocks missed between polls by number, decodes extraData to printable\nASCII and matches it against a curated substring table of known\nbuilder tags (Titan, Quasar, Eureka, BuilderNet, beaverbuild, rsync,\nFlashbots, Builder+ and more). Client-default tags (geth, reth,\nnethermind, besu, erigon version strings) and empty extraData count\nas vanilla, locally built blocks. Anything unrecognized counts as\nOther, increments an unattributed counter, and logs the raw string so\nthe table can grow, the same philosophy as the tip-wallet table in\nbench 016. The headline metric is each builder's percentage of all\nblocks observed in the last 24 hours. Two companion measurements ship\nin the same harness. First, an independent cross-check: the public\nbidtrace APIs of seven MEV-Boost relays are polled every five minutes\nand delivered payloads are counted per relay, deduped per relay by\nslot high-water-mark; the same slot appearing on several relays is\nnormal because builders multi-home their bids. Second, an L2\nsoft-confirmation study: the harness holds the Arbitrum sequencer\nfeed and the Base flashblocks stream open and measures how far those\npreconfirmation channels run ahead of the public RPC head, emitted as\nhistograms for a future bench page. At inception a 50 block live\nsample attributed 98 percent cleanly: Titan 19, Quasar 16, Eureka 6,\nBuilderNet 2, beaverbuild 1, Builder+ 1, one vanilla block.\n","methodology":["Source: keyless public Ethereum RPC (ethereum-rpc.publicnode.com by default, env-overridable). eth_getBlockByNumber(latest) every 12s, matching the mainnet slot time. Gaps between polls are backfilled by block number (capped at 10) so the counters see every block, not just the ones that happen to be head at poll time.","Attribution: extraData hex is decoded to printable ASCII and matched, lowercase, against a curated substring table (titan, quasar, eureka, buildernet, beaverbuild, rsync, builder0x69, flashbots, bloxroute, builder+/btcs, penguinbuild and more). First match wins; most specific substrings are ordered first.","Vanilla detection: empty extraData or execution-client default tags (geth, reth, nethermind, besu, erigon, go1.x, platform strings) count as builder=vanilla, meaning the proposer built the block locally instead of outsourcing to a builder. This row is the live self-built share of Ethereum.","Unattributed handling: any non-empty tag not in the table counts as builder=other, increments ebb_unattributed_total, and logs the raw extraData string. The table grows from operator logs instead of silently under-counting, the bench 016 pattern.","Self-labeling caveat: extraData is voluntary. A builder can rebrand, blank its tag, or impersonate another. The relay cross-check below is the independent signal; a large divergence between extraData share and relay-side delivered payloads would surface tag games.","Relay cross-check: seven MEV-Boost relay data APIs (Flashbots, ultrasound, Agnostic, bloXroute max-profit, bloXroute regulated, Titan, Aestus) are polled keyless every 5 min via GET /relay/v1/data/bidtraces/proposer_payload_delivered?limit=50. Delivered payloads are counted per relay (ebb_relay_payloads_total), deduped per relay by slot high-water-mark. The same slot on multiple relays is normal: builders multi-home bids, so relay counters measure relay share, not a partition of blocks.","Single vantage: one harness in one region observes the chain through one public RPC. Attribution is not latency-sensitive (extraData is consensus data, identical from every vantage), so single-vantage only affects liveness, which the health gauges expose.","Companion L2 metrics: the same harness measures Arbitrum sequencer-feed soft-confirmation lag (ebb_arb_softconf_lag_milliseconds, feed arrival to public RPC visibility, offset derived at runtime) and Base flashblocks cadence plus flashblock-to-RPC lag (ebb_base_flashblock_interval_milliseconds, ebb_base_softconf_lag_milliseconds). These are per-chain, not per-builder, so this spec surfaces builder share only; the L2 lag series feed a future bench page."],"findings":["Titan currently builds 54.5% of Ethereum blocks observed over the last 24h, across 6 attribution rows. The top two builders regularly account for the majority of the chain, the concentration this bench exists to make visible.","{{name:beaverbuild}} sits at {{p50:beaverbuild}}. beaverbuild dominated 2023-2024 alongside rsync; its slide against Titan and the newer Quasar and Eureka operations is the clearest sign the builder market still churns even as it concentrates.","BuilderNet carries 27.3%. BuilderNet is the Flashbots-initiated attempt to mutualize block building into a multi-operator network precisely because of the concentration this page measures; its share is the decentralization counter-signal to watch.","Vanilla blocks, built locally by the proposer without a builder, sit at 4.55%. This is the live measure of how much of Ethereum still self-builds rather than outsourcing to the MEV supply chain.","Vanilla trails at 4.55%. The long tail matters less than the head here: the bench's story is that a validator set of a million keys funnels block construction through a single-digit number of firms."],"source":"https://github.com/ChainBench/OpenChainBench/tree/main/harnesses/evm-block-builders","results":[{"name":"Titan","slug":"titan","tag":"titanbuilder.xyz, dominant private builder","ms":{"p50":54.5455,"p90":54.5455,"p99":54.5455,"mean":54.5455},"successRate":100,"sampleSize":12.6192,"query":"100 * sum(increase(ebb_blocks_total{builder=\"titan\"}[24h])) / scalar(sum(increase(ebb_blocks_total[24h])))","formula":"Blocks whose extraData contains the Titan tag, as a percentage of all Ethereum blocks observed in the last 24h.","availability":"live","meta":{"observedAt":1784294911647}},{"name":"Quasar","slug":"quasar","tag":"Fast-rising private builder","ms":{"p50":4.54545,"p90":4.54545,"p99":4.54545,"mean":4.54545},"successRate":100,"sampleSize":1.05154,"query":"100 * sum(increase(ebb_blocks_total{builder=\"quasar\"}[24h])) / scalar(sum(increase(ebb_blocks_total[24h])))","formula":"Blocks whose extraData contains the Quasar tag, as a percentage of all Ethereum blocks observed in the last 24h.","availability":"live","meta":{"observedAt":1784294911647}},{"name":"Eureka","slug":"eureka","tag":"Private builder, newer entrant","ms":{"p50":4.54545,"p90":4.54545,"p99":4.54545,"mean":4.54545},"successRate":100,"sampleSize":1.05133,"query":"100 * sum(increase(ebb_blocks_total{builder=\"eureka\"}[24h])) / scalar(sum(increase(ebb_blocks_total[24h])))","formula":"Blocks whose extraData contains the Eureka tag, as a percentage of all Ethereum blocks observed in the last 24h.","availability":"live","meta":{"observedAt":1784294911647}},{"name":"BuilderNet","slug":"buildernet","tag":"Flashbots-initiated multi-operator building network","ms":{"p50":27.2727,"p90":27.2727,"p99":27.2727,"mean":27.2727},"successRate":100,"sampleSize":6.30744,"query":"100 * sum(increase(ebb_blocks_total{builder=\"buildernet\"}[24h])) / scalar(sum(increase(ebb_blocks_total[24h])))","formula":"Blocks whose extraData contains the BuilderNet tag, as a percentage of all Ethereum blocks observed in the last 24h.","availability":"live","meta":{"observedAt":1784294911647}},{"name":"beaverbuild","slug":"beaverbuild","tag":"beaverbuild.org, former market leader","ms":{"p50":0,"p90":0,"p99":0,"mean":0},"successRate":100,"sampleSize":0,"query":"100 * sum(increase(ebb_blocks_total{builder=\"beaverbuild\"}[24h])) / scalar(sum(increase(ebb_blocks_total[24h])))","formula":"Blocks whose extraData contains the beaverbuild tag, as a percentage of all Ethereum blocks observed in the last 24h.","availability":"live","meta":{"observedAt":1784294911647}},{"name":"Bob The Builder","slug":"bobthebuilder","tag":"bobthebuilder.xyz, pseudonymous builder","ms":{"p50":0,"p90":0,"p99":0,"mean":0},"successRate":100,"sampleSize":0,"query":"100 * sum(increase(ebb_blocks_total{builder=\"bobthebuilder\"}[24h])) / scalar(sum(increase(ebb_blocks_total[24h])))","formula":"Blocks whose extraData contains the bobthebuilder tag, as a percentage of all Ethereum blocks observed in the last 24h.","availability":"live","meta":{"observedAt":1784294911647}},{"name":"Builder+","slug":"btcs","tag":"BTCS Builder+","ms":{"p50":4.54545,"p90":4.54545,"p99":4.54545,"mean":4.54545},"successRate":100,"sampleSize":1.05077,"query":"100 * sum(increase(ebb_blocks_total{builder=\"btcs\"}[24h])) / scalar(sum(increase(ebb_blocks_total[24h])))","formula":"Blocks whose extraData contains the Builder+ or BTCS tag, as a percentage of all Ethereum blocks observed in the last 24h.","availability":"live","meta":{"observedAt":1784294911647}},{"name":"Vanilla","slug":"vanilla","tag":"Locally built by the proposer, no builder","ms":{"p50":4.54545,"p90":4.54545,"p99":4.54545,"mean":4.54545},"successRate":100,"sampleSize":1.05069,"query":"100 * sum(increase(ebb_blocks_total{builder=\"vanilla\"}[24h])) / scalar(sum(increase(ebb_blocks_total[24h])))","formula":"Blocks with empty or execution-client default extraData (geth, reth, nethermind, besu, erigon), meaning the proposer built locally, as a percentage of all blocks observed in 24h.","availability":"live","meta":{"observedAt":1784294911647}},{"name":"Other","slug":"other","tag":"Unrecognized extraData tags, logged raw for table growth","ms":{"p50":0,"p90":0,"p99":0,"mean":0},"successRate":100,"sampleSize":0,"query":"100 * sum(increase(ebb_blocks_total{builder=\"other\"}[24h])) / scalar(sum(increase(ebb_blocks_total[24h])))","formula":"Blocks whose extraData carries a non-empty tag not in the curated table, as a percentage of all blocks observed in 24h. Every raw string is logged so the attribution table grows.","availability":"live","meta":{"observedAt":1784294911647}}],"extras":{"series24h":{"titan":[51.3423,48.8688,51.6393,54.5455,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null],"quasar":[12.0805,14.4796,10.6557,4.54545,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null],"eureka":[9.0604,8.1448,8.19672,4.54545,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null],"buildernet":[16.443,16.2896,16.3934,27.2727,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null],"beaverbuild":[0.33557,0.452489,0.819672,0,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null],"bobthebuilder":[1.34228,1.35747,0,0,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null],"btcs":[1.00671,1.35747,1.63934,4.54545,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null],"vanilla":[8.05369,8.59729,9.83607,4.54545,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null],"other":[0.33557,0.452489,0.819672,0,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null]},"series7d":{"titan":[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,40.1519,45.302,42.8094,44.6309,51.8519,52.8428,44.6309,63.4228,42.0875,52.027,46.1538,51.8395,48.9933,52.0134,42.1405,39.9329,44.2568,53.8721,44.1077,51.3423,null,null,null,null,null,null,null,null,null,null,null,null],"quasar":[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,39.8986,25.1678,21.7391,24.1611,16.835,17.3913,23.8255,5.36913,34.0067,14.1892,19.0635,14.3813,17.4497,20.4698,22.408,22.8188,29.0541,17.1717,26.2626,12.0805,null,null,null,null,null,null,null,null,null,null,null,null],"eureka":[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,7.38255,11.0368,12.0805,4.7138,6.02007,9.39597,5.03356,2.0202,4.39189,5.68562,9.699,6.04027,5.03356,4.68227,11.4094,9.12162,8.41751,7.74411,9.0604,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free Polkadot RPC, live no-key endpoint latency","seoTitle":"Fastest free Polkadot RPC 2026","seoDescription":"OnFinality leads free Polkadot RPC at 56 ms (chain_getHeader p50, 24h). 3 no-key providers measured every 60s from 3 regions.","seoIntro":"Polkadot is the first non-EVM, non-Solana chain in the RPC latency\ncluster. Substrate-based relay chain, JSON-RPC 2.0 wire but a\ndifferent method set: the probe is `chain_getHeader` (returns the\nlatest header with a hex-encoded block number) rather than\n`eth_getBlockByNumber`. Everything else on this page is the same\nbench pattern used on Ethereum, Base, Solana and the 20+ other\nchains: identical POST every 60 seconds from three regions, latency\nmeasured client-side at millisecond precision, per-region breakdowns\nfirst class. Provider cohort at launch: Parity's official\n`rpc.polkadot.io`, OnFinality's public gateway, and PublicNode\n(Allnodes). Dwellir + 1RPC audited alongside and excluded (Dwellir\n503 during the launch sweep; 1RPC filters `chain_getHeader` on its\nprivacy relay); both will be revisited when a stable no-key path\nreappears.\n","faq":[{"q":"What is the fastest free Polkadot RPC right now?","a":"OnFinality currently leads at 56 ms (`chain_getHeader` p50 over the last 24h), measured against 3 no-key providers probed every 60 seconds from us-east, eu-west and Singapore. The leaderboard re-sorts continuously against fresh Prometheus samples, so the answer on this page is the answer right now, not a quarterly snapshot. Use the region tabs to see the leader from the origin closest to your deployment."},{"q":"Which Polkadot RPCs work without an API key?","a":"Three endpoints sustain continuous keyless probing at launch: Parity's official `rpc.polkadot.io`, OnFinality's public gateway and PublicNode (operated by Allnodes). Every listed endpoint was live-verified with four consecutive `chain_getHeader` probes returning a parsable hex block number before inclusion. Excluded by the audit: 1RPC filters `chain_getHeader` as \"Not Allowed\" on its privacy relay, Dwellir returned 503 Service Unavailable during the sweep (will be revisited once stable), Ankr requires a paid Polkadot key, Chainstack is key-gated on Substrate, and RadiumBlock rejects requests without a referral header."},{"q":"Does the fastest Polkadot RPC change by region?","a":"Frequently, and often more sharply than EVM chains. Polkadot's public infra is heavily weighted toward Web3 Foundation grantees whose primary data centers sit in Europe; a gateway that wins from Amsterdam can lose from Singapore by multiples. The region tabs at the top of the page re-scope every number on the page to a single origin; pick the one closest to where your requests actually originate."},{"q":"How is Polkadot RPC latency measured here, technically?","a":"One identical Substrate JSON-RPC POST (`chain_getHeader`) every 60 seconds against each provider from each of 3 regions, using the same plain HTTP client the EVM cluster uses. The response is a header object containing a hex-encoded relay-block number and the parent-block hash; the harness parses the number (`strconv.ParseUint(strings.TrimPrefix(hdr.Number, \"0x\"), 16, 64)`, same rule as EVM). Wall-clock round-trip is recorded at millisecond precision; p50/p90/p99 are computed via Prometheus `quantile_over_time` over 24 hours. Responses are classified (`ok` / `http_err` / `jsonrpc_err` / `stale` / `timeout`) so an endpoint stuck on an old head or returning errors behind HTTP 200 is never ranked as fastest."},{"q":"Why is the probe `chain_getHeader` and not `system_health`?","a":"Two reasons. First, `chain_getHeader` returns the head block number, which lets the harness plug into the cluster's cross-provider tip machinery for staleness classification without adding a chain-specific code path. Second, `system_health` returns a small object about peer count and sync state that any polite CDN can synthesize without touching the underlying node, defeating the point of a latency probe on the RPC path. `chain_getHeader` forces the endpoint to actually read the head from the runtime, which is what integrators care about."},{"q":"Why is there no archive-depth or hash-quorum column for Polkadot?","a":"Polkadot's state model accesses historical state via `state_getStorage` keyed by a Blake2-hashed storage key, which has no chain-agnostic depth analog for the EVM `eth_getBalance(address, height)` probe the cluster uses on other chains. Similarly, `chain_getHeader` returns the parent-block hash (not the current-block hash: the current hash is derived by Blake2 over the SCALE-encoded header), so the cross-provider height-hash quorum check from bench 083 cannot be run against Polkadot without adding a Substrate-native encoder to the harness. Both columns are omitted honestly rather than filled with a proxy that would misrepresent the chain."}],"subtitle":"HTTP round-trip latency for chain_getHeader against every free, no-key public Polkadot relay-chain endpoint, audited every 60 seconds from 3 regions.","category":"RPCs","status":"live","editorialStatus":"live","metric":"RPC latency","unit":"ms","higherIsBetter":false,"abstract":"Per-chain member of the RPC latency cluster, extended for Substrate.\nWe measure the round-trip latency of a single, identical JSON-RPC\ncall (`chain_getHeader`) against every no-key public Polkadot\nrelay-chain endpoint that sustains continuous probing, 3 providers\nat launch, every 60 seconds, from us-east, eu-west and Singapore. The harness\nclassifies every response (ok / http_err / jsonrpc_err / stale /\ntimeout) with a relay-chain-scaled staleness gap (40 blocks ≈ 4\nminutes at Polkadot's ~6 s block time), so the leaderboard rewards\nsustained, honest availability rather than a fast error message.\nThe cross-chain view lives on the parent `rpc-capabilities`\nbenchmark; this page is the Polkadot-scoped answer with per-region\nbreakdowns as a first-class dimension.\n","methodology":["Cadence: every 60 seconds per provider, from each of 3 probe regions (us-east Virginia, eu-west Amsterdam, sgp Singapore). Headline p50/p90/p99 aggregate across all 3 regions via Prometheus `avg(quantile_over_time(...))`; per-region breakdowns are first-class on this page via the region tabs.","Payload: `{\"jsonrpc\":\"2.0\",\"id\":<rotating>,\"method\":\"chain_getHeader\",\"params\":[]}`. Plain HTTP POST, identical for every endpoint, no API key in any request. Non-cacheable by design: the latest-header fetch with a rotating id defeats edge caches that would answer a bare head query without touching a node.","Latency: client-side round-trip delta in milliseconds, exposed as both a gauge and a histogram (buckets 50 ms → 10 s), so percentiles are computed via Prometheus `quantile_over_time` over the last 24 hours.","Call-result classification: `ok` (HTTP 200 + non-empty result with a parsable hex block number), `http_err`, `jsonrpc_err` (HTTP 200 carrying an error body), `stale` (more than 40 relay blocks behind the cross-provider tip, roughly 4 minutes at Polkadot's ~6 s block time), `timeout`. Latency without reliability is a misleading ranking signal.","No archive-depth loop on this chain. Polkadot's state model is accessed via `state_getStorage` keyed by a Blake2-hashed storage key rather than the EVM `eth_getBalance(address, height)` pattern, so the archive probe used on the EVM cluster is not applied here.","No cross-provider hash quorum on this chain. `chain_getHeader` returns the parent-block hash rather than the current-block hash (the current hash is derived by Blake2 over the SCALE-encoded header). Bench 083's height-hash quorum check is therefore skipped for Polkadot; the same reliability signal is still captured via `ok` / `stale` classification against the rolling cross-provider tip.","This page is part of the per-chain RPC cluster derived from the cross-chain [rpc-capabilities](https://openchainbench.com/benchmarks/rpc-capabilities) benchmark; the identical harness, cadence and exclusion rules apply on every chain.","Chain scope: every query on this page is pinned to `chain=\"polkadot\"`. Provider coverage at launch: 3 no-key endpoints (Parity official, OnFinality public gateway, PublicNode). Excluded by the launch audit: 1RPC filters `chain_getHeader` as \"Not Allowed\" on its privacy relay; Dwellir returned 503 during the audit sweep; Ankr paid Polkadot tier only; Chainstack key-gated; RadiumBlock requires a referral header; Grove and Thirdweb return invalid-chain or key-gated."],"findings":["OnFinality currently leads free Polkadot RPC at 56 ms (`chain_getHeader` p50, 24h) across 3 measured providers.","OnFinality is a Web3 Foundation grantee that serves a large share of Polkadot ecosystem infra; the bench measures its public gateway under the same probe used for the multi-chain gateways, so the leaderboard is directly comparable to what a chain-agnostic integrator sees.","PublicNode extends its universal multi-chain footprint onto Substrate without a keyed path; the reliability column is what to read alongside p50 here since Substrate JSON-RPC has different failure modes than EVM (SCALE decode timeouts, sudden peer drops during finality gaps)."],"source":"https://github.com/ChainBench/OpenChainBench/tree/main/harnesses/rpc-capabilities","dimensions":{"region":[{"value":"all","label":"All regions"},{"value":"us-east","label":"US-East"},{"value":"eu-west","label":"EU-West"},{"value":"sgp","label":"Singapore"}]},"results":[{"name":"Parity","slug":"polkadot-official","tag":"Parity's official Polkadot relay endpoint","ms":{"p50":189,"p90":328.333,"p99":891.333,"mean":254.15},"successRate":100,"sampleSize":4319.75,"query":"avg(ocb:rpc_latency_milliseconds:p50_24h{provider=\"polkadot-official\", chain=\"polkadot\"})","formula":"50th percentile over 24h of client-side round-trip latency (ms) for a single `chain_getHeader` POST sent every 60s from 3 regions (us-east + eu-west + sgp) to Parity's official Polkadot relay endpoint.","availability":"live","meta":{"observedAt":1784679892915}},{"name":"OnFinality","slug":"onfinality","tag":"Substrate-native public gateway, Web3 Foundation grantee","ms":{"p50":56.3333,"p90":319.033,"p99":2251.67,"mean":184.006},"successRate":100,"sampleSize":4319.75,"query":"avg(ocb:rpc_latency_milliseconds:p50_24h{provider=\"onfinality\", chain=\"polkadot\"})","formula":"50th percentile over 24h of client-side round-trip latency (ms) for a single `chain_getHeader` POST sent every 60s from 3 regions (us-east + eu-west + sgp) to OnFinality's public Polkadot endpoint.","availability":"live","meta":{"observedAt":1784679892915}},{"name":"PublicNode","slug":"publicnode","tag":"Allnodes-operated, 70+ chains, includes Substrate","ms":{"p50":260.167,"p90":579.367,"p99":676.667,"mean":276.795},"successRate":100,"sampleSize":4319.75,"query":"avg(ocb:rpc_latency_milliseconds:p50_24h{provider=\"publicnode\", chain=\"polkadot\"})","formula":"50th percentile over 24h of client-side round-trip latency (ms) for a single `chain_getHeader` POST sent every 60s from 3 regions (us-east + eu-west + sgp) to PublicNode's no-key Polkadot 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Base WebSocket newHeads push, live block-push lag across RPC providers","seoTitle":"Fastest Base WebSocket RPC newHeads push 2026","seoDescription":"PublicNode pushes Base newHeads first. Live WebSocket block-push lag for the free keyless Base cohort, measured per block against the earliest arrival.","seoIntro":"Base blocks land every 2 seconds, six times more frequently than\nEthereum, and any real-time bot on Base (perp keeper, MEV searcher,\nlive dashboard) inherits its provider's head push pipeline six times\nas often. This page ranks the free keyless Base WebSocket endpoints\nby the same relative race the Ethereum sibling uses: earliest\nprovider to deliver block N sets T0, every other provider's sample\nis arrival minus T0. The harness holds one persistent\n`eth_subscribe(\"newHeads\")` connection per provider from an eu-west\nhost and timestamps every frame on receipt. Sample volume on Base\nis substantially higher than Ethereum thanks to the faster cadence,\nso the leaderboard reflects a rich distribution rather than a\nhandful of tail observations. Provider cohort at launch: PublicNode\nand dRPC keyless endpoints. Tenderly does not expose a keyless Base\nWebSocket path at the time of ship.\n","faq":[{"q":"What is the fastest free Base RPC over WebSocket right now?","a":"PublicNode currently wins most per-block races on Base with a median lag of 0.4 ms versus the earliest arrival (p50, 24 h) across 2 measured keyless providers. The leaderboard re-scores on every Base block, roughly every 2 seconds, so the answer reflects sustained live measurement, not a one-off test. Check the win rate and the trailers' p99 before wiring a latency-sensitive Base bot to any single provider."},{"q":"How is Base WebSocket head lag measured on OpenChainBench?","a":"One Go harness holds a persistent `eth_subscribe(\"newHeads\")` WebSocket per provider from the same eu-west host. Every frame is timestamped on receipt at millisecond precision. Each block is scored as a race: earliest arrival sets T0 and every other provider's lag is arrival minus T0. The cohort closes 5 seconds after the first arrival, then p50/p90/p99 are computed via `histogram_quantile` over 24 hours."},{"q":"Why does the fastest provider read near zero?","a":"By construction. The measurement is relative to the fastest arrival in the cohort, not to an external reference clock, so the provider that wins most races accumulates mostly zero samples. This is deliberate: without a reference node co-located with the Base sequencer, a single vantage point cannot separate its own network latency from the provider's push pipeline. Read the leader's win rate and the trailers' distributions rather than the leader's absolute number."},{"q":"Why isn't Tenderly ranked on Base?","a":"Tenderly's public Base gateway does not expose a keyless WebSocket path for `eth_subscribe(\"newHeads\")` at the time this bench went live. When it does, the harness reads the endpoint from an env variable and Tenderly joins the leaderboard automatically."},{"q":"Base blocks land every 2 seconds. How does that change the numbers?","a":"Sample volume is roughly 6 times higher than Ethereum for the same 24h window. That tightens the confidence interval on every percentile: a 24h p50 on Base is drawn from ~43000 samples per provider versus ~7200 on Ethereum. The percentile numbers themselves are still relative to the per-block winner, so the interpretation is unchanged; the Base leaderboard just carries less tail noise than the Ethereum one."}],"subtitle":"Per-block WebSocket push lag in milliseconds versus the earliest provider to deliver the same Base head, measured continuously from one eu-west vantage point.","category":"RPCs","status":"live","editorialStatus":"live","metric":"Block push lag","unit":"ms","higherIsBetter":false,"abstract":"Per-chain member of the WebSocket head-latency cluster, applied to\nBase. Same harness, same race scoring rules, same reporting\ncadence: one persistent WebSocket per provider from the same\neu-west host, cohort settle window 5 seconds after the first\narrival, lag histogram per provider, gap counter for missed blocks\ninside a live subscription. The cross-chain view lives on the\nparent [ws-head-latency](https://openchainbench.com/benchmarks/ws-head-latency-ethereum)\nbenchmark; this page is the Base-scoped answer.\n","methodology":["Providers measured (keyless WebSocket endpoints): PublicNode (wss://base-rpc.publicnode.com), dRPC (wss://base.drpc.org). Tenderly does not expose a keyless Base WebSocket path and is scoped out until a public gateway is announced. Keyed providers (Alchemy, Infura, Chainstack, QuickNode) join the cohort when contributor keys are wired via WS_URL_<PROVIDER>_BASE env vars.","Cohort saturation: Blast, LlamaRPC, BlockPI, 1RPC, mainnet.base.org and Ankr all reject a keyless WebSocket handshake at the time of ship (verified 2026-07), which is why the keyless tier stops at two.","Chain scope: every query on this page is pinned to chain=\"base\". Base block cadence is 2 seconds, so a 24h window carries roughly 43000 samples per provider (versus ~7200 on Ethereum), well above the 7000 sample floor used by the parent bench.","Race scoring: identical to the parent [ws-head-latency](https://openchainbench.com/benchmarks/ws-head-latency-ethereum) benchmark. First provider to deliver block N sets T0. Each provider's sample for block N is arrival(N) minus T0 in milliseconds. Cohort closes 5 seconds after the first arrival; late arrivals are scored as missed blocks via ws_block_gap_total rather than as huge latency samples.","Relative, not absolute: subtraction of two arrivals over the same path removes vantage-point network latency. Consequence: the fastest provider reads near zero by construction. The honest readings are win rate, trailers' lag distribution, and gap counts.","Aggregation: per-provider lag histogram with a sub-millisecond floor (0.5 ms bucket up through 10 s tail), p50/p90/p99 via histogram_quantile over the 24h rate. Coverage score = ws_head_blocks_seen_total divided by cohort maximum, clamped to 1. A provider that pushes fast but skips blocks loses on this column, not on the latency percentiles.","Connection discipline: one persistent WebSocket per (provider, chain), client ping every 30s, read deadline 60s, 90s head watchdog forcing reconnect when a socket keeps the heartbeat alive but silently drops the subscription. Exponential backoff 2s to 60s on reconnect.","Vantage point: a single eu-west host. Multi-region deployment is a follow-up on the parent bench roadmap; the same limitation and the reasoning behind it are documented there."],"findings":["PublicNode leads the Base cohort at 0.4 ms (p50, 24 h) across 2 measured providers. Base's 2 second cadence means each provider gets 6 times more samples per unit time than the Ethereum sibling; the distribution here has less tail noise than on Ethereum for the same 24h window.","dRPC trails the winner by 27 ms at the median on Base. That is the extra time a Base perp keeper or liquidation bot on dRPC's keyless endpoint waits for block N after the fastest feed already delivered it.","The p99 column is the integration-grade number for a chain that produces a block every 2 seconds: 20 ms / 10.24 s. A multi-second p99 on Base means routinely missing an entire block cycle.","Base is 2 second cadence, Ethereum 12 seconds, Solana ~400ms slots. Cross-chain comparison of the absolute lag numbers is not meaningful; use each per-chain leaderboard on its own terms and the parent [ws-head-latency](https://openchainbench.com/benchmarks/ws-head-latency-ethereum) page for the Ethereum reference."],"source":"https://github.com/ChainBench/OpenChainBench/tree/main/harnesses/ws-head-latency","dimensions":{"region":[{"value":"all","label":"All regions"},{"value":"us-east","label":"US-East"},{"value":"eu-west","label":"EU-West"},{"value":"sgp","label":"Singapore"}]},"results":[{"name":"PublicNode","slug":"publicnode","tag":"Keyless WS, wss://base-rpc.publicnode.com","ms":{"p50":0.372636,"p90":4.59303,"p99":19.8431,"mean":0.982271},"successRate":100,"sampleSize":172346,"query":"histogram_quantile(0.50, sum by (le) (rate(ws_head_lag_milliseconds_bucket{provider=\"publicnode\", chain=\"base\"}[24h])))","formula":"Median ms behind the earliest provider to push each Base newHeads frame, from one persistent WebSocket per provider on the same eu-west host, histogram_quantile over 24h. The per-block winner scores 0 by construction.","availability":"live","dataConfidence":"healthy","sampleHealth":24.620857142857144,"meta":{"observedAt":1784679904291}},{"name":"dRPC","slug":"drpc","tag":"Keyless WS, wss://base.drpc.org","ms":{"p50":27.4994,"p90":146.353,"p99":10240,"mean":52.191},"successRate":99.945,"sampleSize":172346,"query":"histogram_quantile(0.50, sum by (le) (rate(ws_head_lag_milliseconds_bucket{provider=\"drpc\", chain=\"base\"}[24h])))","formula":"Median ms behind the earliest provider to push each Base newHeads frame, from one persistent WebSocket per provider on the same eu-west host, histogram_quantile over 24h. Lag is relative to the per-block 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Solana WebSocket slotSubscribe push, live slot-push lag across RPC providers","seoTitle":"Fastest Solana WebSocket RPC slotSubscribe push 2026","seoDescription":"Solana Foundation pushes Solana slots first. Live WebSocket slot-push lag for the free keyless Solana cohort, measured per slot against the earliest arrival.","seoIntro":"Solana slots land every ~400ms, thirty times faster than Ethereum\nblocks, and every real-time integrator on Solana (perp keeper,\nliquidator, market maker, on-chain scanner) inherits its provider's\nslot push pipeline thirty times as often. This page ranks the free\nkeyless Solana WebSocket endpoints by the same relative race the\nEVM sibling uses on `eth_subscribe(\"newHeads\")`, applied to\nSolana's `slotSubscribe` RPC. The harness holds one persistent\nWebSocket per provider from an eu-west host and timestamps every\nslot notification on receipt. Sample volume is roughly 30 times\nhigher than the Ethereum sibling for the same 24h window, so the\ndistribution is dense and tail estimates are stable. Provider\ncohort at launch: PublicNode's public Solana gateway and the\nSolana Foundation's `api.mainnet-beta.solana.com`.\n","faq":[{"q":"What is the fastest free Solana RPC over WebSocket right now?","a":"Solana Foundation currently wins most per-slot races on Solana with a median lag of 0.3 ms versus the earliest arrival (p50, 24 h) across 2 measured keyless providers. The leaderboard re-scores on every Solana slot, roughly every 400ms, so the answer reflects sustained live measurement, not a one-off test. Check the win rate and the trailers' p99 before wiring a latency-sensitive Solana keeper or MEV integration to any single provider."},{"q":"How is Solana WebSocket slot lag measured on OpenChainBench?","a":"One Go harness holds a persistent `slotSubscribe` WebSocket per provider from the same eu-west host. Every notification is timestamped on receipt at millisecond precision, keyed on slot number, and deduplicated. Each slot is scored as a race: earliest arrival sets T0 and every other provider's lag is arrival minus T0. The cohort closes 5 seconds after the first arrival, then p50/p90/p99 are computed via `histogram_quantile` over 24 hours."},{"q":"Why does the fastest provider read near zero?","a":"By construction. The measurement is relative to the fastest arrival in the cohort, not to an external reference clock, so the provider that wins most races accumulates mostly zero samples. Without a validator co-located with block producers, a single vantage point cannot separate its own network latency from the provider's push pipeline. Read the leader's win rate and the trailers' distributions rather than the leader's absolute number."},{"q":"Why aren't Alchemy and Helius on the leaderboard?","a":"Both are keyed-only for Solana WebSocket subscriptions and V1 measures the keyless tier. The harness reads Alchemy and Helius endpoints from env variables and adds them to the cohort automatically once contributor keys are wired into the deployment."},{"q":"Solana slots land every ~400ms. How does that change the numbers?","a":"Sample volume is roughly 30 times higher than Ethereum for the same 24h window. Percentile estimates are drawn from ~216000 samples per provider versus ~7200 on Ethereum, so tail noise is negligible. The percentile numbers themselves are still relative to the per-slot winner, so the interpretation is unchanged. At Solana's cadence, a p99 above 1 second means the provider is routinely 2 to 3 slots behind the leader, which is the exact window where a keeper or liquidator loses to a co-located competitor."},{"q":"Why `slotSubscribe` and not `signatureSubscribe` or `logsSubscribe`?","a":"The race we score is head delivery: which endpoint pushes the newest thing first. On Solana that is a slot notification; `slotSubscribe` fires on every slot with the slot number and parent slot in the payload. `signatureSubscribe` targets one specific transaction and `logsSubscribe` filters by program, so neither is a fair head-delivery race across providers."}],"subtitle":"Per-slot WebSocket push lag in milliseconds versus the earliest provider to deliver the same Solana slot, measured continuously from one eu-west vantage point.","category":"RPCs","status":"live","editorialStatus":"live","metric":"Slot push lag","unit":"ms","higherIsBetter":false,"abstract":"Per-chain member of the WebSocket head-latency cluster, applied to\nSolana. Same harness, same race scoring rules, adapted for\nSolana's slot model instead of EVM blocks: `slotSubscribe`\nnotifications carry a slot number, the harness treats each\ndistinct slot as one race, the first provider to deliver slot N\nsets T0, every other provider's sample is arrival minus T0 in\nmilliseconds. The cross-chain view lives on the parent\n[ws-head-latency](https://openchainbench.com/benchmarks/ws-head-latency-ethereum)\nbenchmark; this page is the Solana-scoped answer.\n","methodology":["Providers measured (keyless WebSocket endpoints): PublicNode (wss://solana-rpc.publicnode.com) and Solana Foundation (wss://api.mainnet-beta.solana.com). Keyed providers (Alchemy, Chainstack, Helius, QuickNode) join the cohort when contributor keys are wired via WS_URL_<PROVIDER>_SOLANA env vars.","Cohort saturation: dRPC's free Solana tier explicitly disallows slotSubscribe (\"method is not available on freetier\") and the other public Solana WSS gateways audited (Blast, BlockPI, Ankr, extrnode, Chainstack public) all reject the handshake (verified 2026-07), which is why the keyless tier stops at two.","Chain scope: every query on this page is pinned to chain=\"solana\". Solana slot cadence is ~400ms, so a 24h window carries roughly 216000 samples per provider, an order of magnitude beyond the 7000 sample floor used across the head-lag cluster.","RPC method: `slotSubscribe`, not `signatureSubscribe` or `logsSubscribe`. The notification payload includes the slot number and the parent slot; the harness dedupes on slot number and uses the first arrival per slot to define T0.","Race scoring: identical to the parent [ws-head-latency](https://openchainbench.com/benchmarks/ws-head-latency-ethereum) benchmark, applied per slot instead of per block. First provider to deliver slot N sets T0. Each provider's sample for slot N is arrival(N) minus T0 in milliseconds. Cohort closes 5 seconds after the first arrival.","Relative, not absolute: subtraction of two arrivals over the same path removes vantage-point network latency. Consequence: the fastest provider reads near zero by construction. The honest readings are win rate, trailers' lag distribution, and gap counts, not the leader's absolute number.","Aggregation: per-provider lag histogram with a sub-millisecond floor (0.5 ms bucket up through 10 s tail), p50/p90/p99 via histogram_quantile over the 24h rate. Coverage score = ws_head_blocks_seen_total divided by cohort maximum, clamped to 1.","Connection discipline: one persistent WebSocket per (provider, chain), client ping every 30s, read deadline 60s, 90s slot watchdog forcing reconnect when a socket keeps the heartbeat alive but silently drops the subscription. Exponential backoff 2s to 60s on reconnect.","Vantage point: a single eu-west host. Multi-region deployment is a follow-up on the parent bench roadmap; the same limitation and reasoning are documented there."],"findings":["Solana Foundation leads the Solana cohort at 0.3 ms (p50, 24 h) across 2 measured providers. Solana's ~400ms cadence means each provider gets 30 times more samples per unit time than the Ethereum sibling; the distribution here has very little tail noise for the same 24h window.","Solana Foundation versus PublicNode: the Solana Foundation's public endpoint and PublicNode's Solana gateway measured on identical terms. A latency-sensitive Solana integration should read the win rate alongside p50 to see which endpoint delivers slot N first most often.","The p99 column matters more on Solana than on any EVM chain in the cluster: at ~400ms slots, a p99 above 1 second means the provider is routinely 2-3 slots behind the leader. That gap is the exact window where a keeper or liquidator loses to a co-located competitor.","Cross-chain comparison of absolute lag numbers is not meaningful: Solana runs at 400ms slots, Base at 2s, Ethereum at 12s. Use each per-chain leaderboard on its own terms and the parent [ws-head-latency](https://openchainbench.com/benchmarks/ws-head-latency-ethereum) page for the Ethereum reference."],"source":"https://github.com/ChainBench/OpenChainBench/tree/main/harnesses/ws-head-latency","dimensions":{"region":[{"value":"all","label":"All regions"},{"value":"us-east","label":"US-East"},{"value":"eu-west","label":"EU-West"},{"value":"sgp","label":"Singapore"}]},"results":[{"name":"PublicNode","slug":"publicnode","tag":"Keyless WS, wss://solana-rpc.publicnode.com","ms":{"p50":96.0976,"p90":155.439,"p99":10240,"mean":74.0463},"successRate":100,"sampleSize":816268,"query":"histogram_quantile(0.50, sum by (le) (rate(ws_head_lag_milliseconds_bucket{provider=\"publicnode\", chain=\"solana\"}[24h])))","formula":"Median ms behind the earliest provider to push each Solana slotSubscribe notification, from one persistent WebSocket per provider on the same eu-west host, histogram_quantile over 24h. The per-slot winner scores 0 by construction.","availability":"live","dataConfidence":"healthy","sampleHealth":16.32536,"meta":{"observedAt":1784679906148}},{"name":"Solana Foundation","slug":"solana","tag":"Keyless WS, wss://api.mainnet-beta.solana.com","ms":{"p50":0.250765,"p90":0.451377,"p99":0.496515,"mean":0.0630122},"successRate":75.508,"sampleSize":612099,"query":"histogram_quantile(0.50, sum by (le) (rate(ws_head_lag_milliseconds_bucket{provider=\"solana\", chain=\"solana\"}[24h])))","formula":"Median ms behind the earliest provider to push each Solana slotSubscribe notification, from one persistent WebSocket per provider on the same eu-west host, histogram_quantile over 24h. Lag is relative to the per-slot 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