The data layer Hyperliquid was missing.
Hyperliquid produces market data at exchange scale; generic infrastructure throws most of it away. We run our own node fleet and keep all of it: streamed live, archived exactly, sold plainly.
0+
markets covered
~$0.0B
traded daily
0M+
order updates / day
0.00B+
events archived
as of 2026-06-09
Why Hyperliquid needs a dedicated data layer.
Hyperliquid put an exchange's entire matching engine on-chain. That makes it the rare L1 whose primary output is market microstructure: 725M+ order updates and 6.5M+ trades a day, every one of them public, attributed to a wallet, and exact to the last decimal place.
Generic RPC providers treat that firehose like any other EVM chain: an anonymized tape, float-rounded values, history left as someone else's problem. The information that makes the chain valuable (who traded, at exactly what price, with the book in exactly what state) is discarded at the door.
HyperliquidRPC exists to keep it. One pipeline carries every trade, order, and book delta from our own nodes into a live gRPC stream and a permanent archive with the same schema, so the data you backtest on is, byte for byte, the data you trade on.
Our own nodes, checked against the chain.
The product is downstream of operations: the data is only as good as the machines and the reconciliation that produce it.
Self-operated nodes
We run our own Hyperliquid node fleet with automated failover and redundancy. No resold third-party infrastructure sits between your subscription and the chain. When something breaks, we fix our own machines.
Validated against the chain
The exact-precision pipeline is continuously checked against the chain and Hyperliquid's public API. Prices, sizes, PnL, and fees are byte-exact decimals; if a figure doesn't reconcile, that's a bug, not a rounding policy.
One schema, live and archived
Real-time streams and the historical archive come off the same pipeline with the same fields and encoding. Hundreds of millions of rows are added every day; nothing is sampled, rounded, or expired.
Four rules we don't trade away.
They cost us the occasional flattering number and the odd shortcut. They're also why customers stay.
Exactness
Financial values are byte-exact decimals end to end, never floats. A backtest that doesn't reconcile to the chain is a bug we fix, not a tolerance we document.
Honesty in benchmarks
Latency figures are measured, percentile-labeled, and published with methodology. Comparison tables keep their honest partial marks. A claim we can't prove doesn't ship.
Compatibility
Wire-compatible with the QuickNode and Dwellir client stubs you already run. Switching providers should be an endpoint change, not a rewrite, in either direction.
Operational calm
Boring is the goal: sequence numbers, gap replay, automated failover. The best market-data feed is the one you stop thinking about.
A small team that answers its own pagers.
HyperliquidRPC is built and operated by a small, senior infrastructure team. The engineers who designed the pipeline run the fleet, write the docs, and answer the technical questions. There is no tier-one queue between you and someone who can fix things.
You won't find stock photos or an invented org chart here. When we publish faces and names, they will be real ones. Until then, judge us the way we'd want to be judged: by the live telemetry and the changelog.
Coverage figures on this page as of 2026-06-09. Not affiliated with Hyperliquid or Hyper Foundation.
Talk to the people who run the fleet.
Sales calls here are technical scoping calls. Bring your hardest data question.