Billions of Onchain Data Records,
Queryable with SQL
Query 500B+ indexed Hyperliquid records. Retrieve results via REST. No pipelines. No additional vendors. All on Quicknode.
Rows Scanned Per Query
Rows · Hyperliquid
Sample Queries
Trading desks, quant teams, and data engineers all face the same bottleneck.
Reaching indexed onchain data means managing multiple data vendors and maintaining the infrastructure required to expose it.
So we built SQL Explorer.
Trading desks, quant teams, and data engineers all face the same bottleneck.
Reaching indexed onchain data means managing multiple data vendors and maintaining the infrastructure required to expose it.
So we built SQL Explorer.
Meet SQL Explorer
Direct SQL access to indexed Hyperliquid data. Query trades, orders, positions, liquidations, and more. Start from 40+ pre-built queries or write your own, then retrieve results via REST.
| # | timestamp | coin | side | price | size | notional_usd | buyer_addr |
|---|---|---|---|---|---|---|---|
| 1 | 2026-03-26 15:27:42.406 | AZTEC | A | 0.019959 | 848 | 16.925232 | 0x4a6e4878… |
| 2 | 2026-03-26 15:27:42.406 | cash:HOOD | A | 70.782 | 0.707 | 50.042874 | 0x9badff1e… |
| 3 | 2026-03-26 15:27:42.406 | cash:HOOD | A | 70.782 | 0.707 | 50.042874 | 0xcee1cc9b… |
| 4 | 2026-03-26 15:27:42.406 | ETH | A | 2,065.1 | 2.0458 | 141.393… | 0xb6a766f5… |
| 5 | 2026-03-26 15:27:42.330 | cash:MSFT | A | 370.52 | 0.134 | 49.64968 | 0xcee1cc9b… |
| 6 | 2026-03-26 15:27:42.330 | cash:MSFT | A | 370.52 | 0.134 | 49.64968 | 0x9badff1e… |
| 7 | 2026-03-26 15:27:42.330 | ARK | A | 0.16736 | 112 | 18.74432 | 0x7717a7a2… |
From Query to REST
In Seconds
SQL Explorer turns any query into a REST endpoint. No ETL, no transformation logic, no additional infrastructure. Just results your systems can consume directly.
Query Hyperliquid data
-- Hyperliquid liquidation summary: last 24h
SELECT
count() AS total_liquidations,
toFloat64(sum(toFloat64(price) * toFloat64(size)))
AS total_liquidated_volume_usd,
countDistinct(liquidated_user) AS unique_users_liquidated,
countDistinct(coin) AS coins_affected,
countIf(side = 'A') AS long_liquidations,
countIf(side = 'B') AS short_liquidations
FROM hyperliquid_fills
WHERE is_liquidation = 1
AND time >= now() - INTERVAL 24 HOUR
AND user = liquidated_userRetrieve results via REST
curl -X POST \
'https://api.quicknode.com/sql/rest/v1/query' \
-H 'x-api-key: YOUR_API_KEY' \
-H 'Content-Type: application/json' \
-d '{
"query": "...",
"clusterId": "hyperliquid-core-mainnet"
}'Consume structured JSON
{
"data": [{
"total_liquidations": 4954,
"total_liquidated_volume_usd": 28872094.94,
"unique_users_liquidated": 2013,
"coins_affected": 76,
"long_liquidations": 4015,
"short_liquidations": 939
}]
}Connect results directly to your trading systems, dashboards, internal workflows, or AI agents.
Track the Data That Matters
From validator rewards to trading activity to liquidation events and HIP-4 outcome markets, SQL Explorer gives you direct SQL access to the Hyperliquid data your strategies depend on.
Validator Rewards
Query staking rewards and distribution across validators over any time window. Feed results directly into your dashboards or alert systems.
Trading Activity
Analyze fill history, volume, and execution patterns for any wallet. Ideal for competitive intelligence, strategy validation, or quant research.
Liquidations
Monitor liquidation notional and position sizing across any time range. The input your risk models and market-structure analyses need.
Outcome Markets
Query open questions, side distributions, and settlement data across HIP-4 outcome markets. Track market creation, liquidity, and resolution in real time.
One Platform.
Every Data Access Pattern.
SQL Explorer is part of Quicknode's full data suite. Access, stream, and query blockchain data your way, on a unified platform.
Queryable Data
Fully indexed onchain datasets, queryable with SQL and retrievable via REST.
Data Pipelines
Push-based, deterministic event delivery into your backend systems.
Raw Blockchain Data
Direct chain access for real-time state reads and transaction submission.
How SQL Explorer
Compares
The coverage, performance, and integration your team needs, without the data management overhead.
Need Data We Don't Have Yet?
SQL Explorer is available on any paid plan today. Enterprise teams can work with us on custom dataset coverage, dedicated capacity, and schema-level support. Tell us what your stack needs.
Frequently Asked Questions
The docs cover everything. Our support team is there when you need more.Still have questions? Reach out to support and we'll help you find answers.
What is SQL Explorer?
How is SQL Explorer different from Streams?
How is SQL Explorer different from RPC?
What data is currently available?
How does the REST API work?
How does billing work?
Does SQL Explorer support HIP-4 Outcome Markets?
Is SQL Explorer production ready?
Who wins the World Cup?Research, stream, and trade on Hyperliquid
Learn more