Open, reproducible benchmarks for crypto infrastructure. Aggregators, bridges, RPCs, oracles, price feeds, prediction markets, perp DEXes, cross-chain messaging. Same metric, same conditions, every provider. Live at openchainbench.com.
OpenChainBench publishes one benchmark at a time, each shipping with the harness that produces its data. The goal is to make performance an observable property of crypto infra, measured in the open, by anyone who wants to add a provider or a metric.
Community-run, MIT-licensed harnesses + CC-BY-4.0 data, PRs from any party including the providers we benchmark.
- 94 live benchmark specs across 8 categories (RPCs, Trading, Aggregators, Bridges, Blockchains, RWA, Explorers, NFT APIs)
- 50 self-contained Go harnesses, each shipping a
/metricsPrometheus endpoint - 32 curated question/answer pages · 23 "alternatives to X" landing pages
- 26 machine-readable API routes (citation, badges, MCP, feeds, per-format quotes)
- One shared Prometheus, one materialization worker, CDN-fastpath snapshot store: cold reads in < 100 ms edge, no origin fan-out on hot paths
pnpm install
pnpm dev # site at http://localhost:3000
pnpm validate # bench spec Zod schema check (run before opening a PR)
pnpm typecheck # tsc --noEmitAdding a benchmark, writing a harness, or fixing a number: see CONTRIBUTING.md + the visual walkthrough at /contribute.
Every benchmark is licensed CC-BY-4.0 and exposed through endpoints designed for citation by journalists, devs, and AI agents:
| Endpoint | Audience | What it returns |
|---|---|---|
/llms.txt · /llms-full.txt |
LLM crawlers | Plain-text index (short) + full Markdown context (long) per the llmstxt.org convention. |
/api/citable |
Devs, agents | Flat JSON: every benchmark with current value, leader, headline sentence, citation URL, OG image URL. |
/api/stat/<slug> |
Devs, agents | Single benchmark: full rankings, sparkline (24h), methodology, paste-ready quote, attribution URL. |
/api/cite/<slug>/<format> |
Zotero, Mendeley, Perplexity | Citation in bibtex, apa, ris, or txt with the correct MIME type. |
/api/openapi.json |
LangChain, custom GPTs, generic clients | OpenAPI 3.1 schema describing every endpoint. |
/api/mcp/mcp |
MCP clients (Claude Desktop, Cursor, ChatGPT tools) | MCP server: list_benchmarks, get_benchmark, query_prom tools + openchainbench://benchmark/{slug} resource. |
/api/freshness |
Live UI, dashboards | {slug → asOf ms} map. Edge-cached 5 s. |
/api/llm-context |
LLM system prompts | Every benchmark with rankings + methodology in one Markdown blob. |
/benchmarks/<slug>/opengraph-image |
X, LinkedIn, Slack, iMessage | 1200×630 PNG with current value + leader + sparkline. Auto-served on link unfurl. |
/benchmarks/<slug>/share-card?template=... |
Manual export | 5 templates (ranking / snapshot / headline / compare / leaderboard), ?theme=dark supported. |
/api/badge/<bench>/<provider> |
Provider sites, READMEs | 360×36 embeddable SVG with the provider's rank + headline figure. |
/rss.xml · /feed.json |
Feed readers, agent tooling | RSS 2.0 + JSON Feed 1.1 mirrors, one entry per live bench, updated on release. |
/sitemap.xml · /robots.ts |
Crawlers | Every AI crawler (GPTBot, ClaudeBot, PerplexityBot, Google-Extended, CCBot, …) explicitly allowed. |
Structured data on every bench page: Dataset + StatisticalReport + Observation + TechArticle + FAQPage + BreadcrumbList JSON-LD, plus a schema.org Dataset microdata graph layered on the visible "At a glance" infobox.
Journalist citation format (what /api/stat/<slug>.headlineSentence emits):
"Mobula leads head lag at 0.8s (p50, 24h) on Fastest onchain data provider.
Source: OpenChainBench (https://openchainbench.com/benchmarks/aggregator-head-lag)"
| Route | What lives there |
|---|---|
/ |
Hero + Latest benchmarks table + Live dashboard |
/benchmarks · /benchmarks/[slug] |
Catalog grid + per-bench leaderboard with chart, ledger, chain/region filters, share cards, FAQ |
/benchmarks/[slug]/[chain] |
Chain-scoped bench view with per-chain explainer |
/products/[slug] |
Per-provider aggregated profile: every bench they appear in, top-1 counts, related products |
/chains/[slug] |
Per-chain hub: live native price, TVL history, every bench that touches this chain grouped by category |
/compare/[a]-vs-[b] |
Head-to-head comparison across shared benches, canonical alphabetical order enforced at the edge |
/alternatives/[slug] |
"Alternatives to X" landing pages with live leaderboard from the referenced bench |
/answers/[slug] |
Q&A pages backed by a live bench, formatted for AI answer engines |
/hyperliquid · /hyperliquid/[slug] |
HyperLiquid frontends cohort + per-builder dashboard (revenue, volume, first-active date) |
/perps · /prediction-markets · /rpc |
Vertical hubs aggregating multiple benches per topic |
/mcp |
MCP server docs + install instructions |
/methodology · /contribute · /team · /about · /press · /badges |
Static |
┌─────────────────────────┐ ┌───────────────────┐ ┌──────────────────────┐
│ 50 Go harnesses on │ │ Shared Prometheus │ │ Materialization worker│
│ ocb-par-main (Paris) │─── ▶│ (same VPS) │───▶│ (same VPS, docker) │
│ each exposes /metrics │ │ federates a few │ │ sweeps every 60s │
└─────────────────────────┘ │ Railway regional │ └──────┬───────────────┘
│ harnesses │ │
└───────────────────┘ ▼
┌─────────────────────────┐
│ Redis + CDN blob store │
│ (SRH at kv.opencha…) │
└──────────┬──────────────┘
│
┌─────────────────────────┐
│ Vercel Fluid Compute: │
│ pages read CDN blobs │
│ first, SRH as fallback, │
│ last-known-good on cold │
└─────────────────────────┘
- Harnesses + Prometheus + worker + Redis + SRH run on one VPS (
ocb-par-mainin Paris) via docker compose. A handful of multi-region harnesses (rpc-capabilities-us/eu/sgp, evm-quote-latency, aggregator-head-lag regional) stay on Railway and federate into the VPS Prom. - Worker publishes atomic snapshots every 60 s to Redis + CDN blobs at
kv.openchainbench.com/aggregate/{latest,benches/<slug>,variants/<slug>/<sig>}.json. Site reads CDN first (~20 ms edge), falls back to SRH, then to the last-known-good snapshot key on cold cache. - Site is Next.js 16 App Router on Vercel Fluid Compute. Auto-deploy from
mainon every push (with sitemap smoke test + auto-rollback + bench-page warm-up);devbranch runs on staging preview. - Middleware (
src/middleware.ts) handles lowercase 308 normalization,/compare/<b>-vs-<a>→ canonical alphabetical, 410 Gone for removed benches, 301 for renamed ones, and cache-key normalization on read-only public APIs. - Live stream relay (WebSocket at
wss://stream.openchainbench.com/ws) is a separate service run by Mobula because it holds upstream API keys; the browser talks to it directly, Vercel only serves the static shell.
Full walkthrough with diagrams + a "clone-and-run-it-yourself" section is in docs/architecture.md.
benchmarks/ 94 YAML specs, one per public benchmark
harnesses/ 50 Go harnesses, each self-contained + Dockerized
answers/ 32 Q&A YAMLs backing /answers/<slug>
alternatives/ 23 "alternatives to X" YAMLs backing /alternatives/<slug>
worker/ Materialization worker (sweeps Prom → publishes CDN + Redis blobs)
infrastructure/ Shared Prometheus config
src/ Next.js 16 site (App Router, ISR, Tailwind 4, TypeScript, Zod)
docs/ architecture.md, methodology, walkthrough.md
scripts/ Spec validators + prebuild manifest generators
.github/ CI: prod deploy, staging preview, sync dev from main
Read CONTRIBUTING.md for the long-form guide. TL;DR:
- Float an idea in Discussions
- Open a
📊 Propose a benchmarkissue with the metric + methodology - Write the harness (Go recommended, any language shipping
/metricsworks) - Host it (anywhere with HTTPS + public
/metrics) - Open a PR against
dev: spec YAML + harness ref + Prom scrape config - Review on the staging preview; merge to
mainwhen data lands
- Same metric, same conditions. If two providers can't be measured identically, they don't share a bench.
- Provider marketing does not shape published numbers. Public methodology + reproducible harness are the only source of truth.
- Retirement over removal. Retired benches return
410 Gonewith a link to the current catalog so previously-indexed URLs decay cleanly. - Freshness signals everywhere. Every citable surface carries
dateModified+asOfso LLMs can tell fresh data from stale. - Draft benches never quote a number. If quorum drops, the page renders "awaiting samples" rather than a fabricated leader.
- Discussions: github.com/ChainBench/OpenChainBench/discussions
- Twitter/X: @OpenChainBench
- Wikidata: Q140172649
- Zenodo DOI: 10.5281/zenodo.20800311
- Hugging Face dataset mirror: OpenChainBench/benchmarks (daily parquet snapshots)
License: harness code MIT · dataset CC-BY-4.0 · attribution required. See LICENSE.