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// SQL Explorer [BETA]

Billions of Onchain Data Records,
Queryable with SQL

Query 385B+ indexed Hyperliquid records. Retrieve results via REST. No pipelines. No additional vendors. All on Quicknode.

Start Building Read Docs

55M+

Rows Scanned Per Query

385B+

Rows · Hyperliquid

40+

Sample Queries

// why we built this

Trading desks, quant teams, and data engineers all face the same bottleneck.
Getting to indexed onchain data without managing multiple data vendors or maintaining the infrastructure required to reach it.
So we built SQL Explorer.

QUANTTRADINGANALYTICSENGINEERINGDATAINFRASTRUCTURE

// The Product

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.

Start Building

SQL Explorer

▼ Hyperliquid (HyperCore)37 373.9B

▶⊞hyperliquid_agents

24.7M

▶⊞hyperliquid_asset_transfers

9.1M

▶⊞hyperliquid_blocks

250.0M

▶⊞hyperliquid_bridge

4.8M

▶⊞hyperliquid_builder_fills

154.2M

▶⊞hyperliquid_builder_labels

295

▶⊞hyperliquid_builder_transactions

110.3M

▶⊞hyperliquid_clearinghouse_states

38.7M

▶⊞hyperliquid_delegator_rewards

48.5M

▶⊞hyperliquid_dex_trades

—

▶⊞hyperliquid_display_names

195.8K

▶⊞hyperliquid_fills

2.2B

▶⊞hyperliquid_funding

910.2M

1	SELECT
2	timestamp,
3	coin,
4	side,
5	price,
6	size,
7	price * size AS notional_usd,
8	buyer_address,
9	seller_address,
10	buyer_fee,
11	seller_fee,
12	fee_token
13	FROM hyperliquid_trades
14	WHERE block_time > now() - INTERVAL 1 HOUR
15	ORDER BY block_number DESC, trade_id DESC

CSVJSON100 rows

#	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…

Query time: 13msResult rows: 100Rows read: 254.41KBytes read: 9.86 MBEst. credits: 20

// In Action

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.

// 1

Write your SQL query

SQL Query

-- 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_user

// 2

Call and retrieve via REST

CURL Example

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"
  }'

// 3

Use and get structured JSON

JSON Response

{
  "data": [{
    "total_liquidations": 4954,
    "total_liquidated_volume_usd": 28872094.94,
    "unique_users_liquidated": 2013,
    "coins_affected": 76,
    "long_liquidations": 4015,
    "short_liquidations": 939
  }]
}

Start Building Contact Sales

Connect results directly to your trading systems, dashboards, internal workflows, or AI agents.

// See What's Possible

Track the data that matters

From funding rate analysis to liquidation monitoring to wallet intelligence, SQL Explorer gives you direct access to the data that matters.

Validator Rewards

Track staking rewards and distribution across validators over any time window.

Trading Activity

Analyze fill history, volume, and execution patterns for any wallet address.

Liquidations

Monitor liquidation notional and position sizing by asset across any time range.

// The Full Suite

One Platform.
Every Data Access Pattern.

SQL Explorer is part of Quicknode's full data suite. Access, stream, and query blockchain data your way, without additional vendors.

Queryable Data

Fully indexed onchain datasets, queryable with SQL and retrievable via REST.

SQL Explorer

Data Pipelines

Push-based, deterministic event delivery into your backend systems.

StreamsWebhooks

Raw Blockchain Data

Direct chain access for real-time state reads and transaction submission.

RPCgRPC

// Built Different

How SQL Explorer
Compares

The coverage, performance, and integration your team needs, without the data management overhead.

	SQL Explorer (Beta)	Typical Analytics Platforms
Infrastructure required	None — runs inside Quicknode	Separate vendor and integration work
Query performance	Scans 55M+ rows and GBs per query	Varies, often queue-dependent
Hyperliquid coverage	35+ tables covering protocol activity	Limited or unavailable
API access	REST API for any query result	Often limited or plan dependent
Billing	Metered from your existing Quicknode credit pool	Separate contracts and pricing
Auth and access	Same Quicknode account and API keys	Separate identity systems

Enterprise Onchain Data Access
Starts Here

Built for institutional trading desks and quant teams who need production-grade onchain data access. Share what you're working on below..

// FAQ

Frequently Asked Questions

With our easy-to-use platform and robust documentation, you will have all the answers you need. Our support team is available for you.Still have unanswered questions?
Please reach out to support and we can 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?

Is SQL Explorer production ready?

Loading content...

// SQL Explorer [BETA]

Billions of Onchain Data Records,
Queryable with SQL

Query 385B+ indexed Hyperliquid records. Retrieve results via REST. No pipelines. No additional vendors. All on Quicknode.

Start Building Read Docs

55M+

Rows Scanned Per Query

385B+

Rows · Hyperliquid

40+

Sample Queries

// why we built this

Trading desks, quant teams, and data engineers all face the same bottleneck.
Getting to indexed onchain data without managing multiple data vendors or maintaining the infrastructure required to reach it.
So we built SQL Explorer.

QUANTTRADINGANALYTICSENGINEERINGDATAINFRASTRUCTURE

// The Product

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.

Start Building

SQL Explorer

▼ Hyperliquid (HyperCore)37 373.9B

▶⊞hyperliquid_agents

24.7M

▶⊞hyperliquid_asset_transfers

9.1M

▶⊞hyperliquid_blocks

250.0M

▶⊞hyperliquid_bridge

4.8M

▶⊞hyperliquid_builder_fills

154.2M

▶⊞hyperliquid_builder_labels

295

▶⊞hyperliquid_builder_transactions

110.3M

▶⊞hyperliquid_clearinghouse_states

38.7M

▶⊞hyperliquid_delegator_rewards

48.5M

▶⊞hyperliquid_dex_trades

—

▶⊞hyperliquid_display_names

195.8K

▶⊞hyperliquid_fills

2.2B

▶⊞hyperliquid_funding

910.2M

1	SELECT
2	timestamp,
3	coin,
4	side,
5	price,
6	size,
7	price * size AS notional_usd,
8	buyer_address,
9	seller_address,
10	buyer_fee,
11	seller_fee,
12	fee_token
13	FROM hyperliquid_trades
14	WHERE block_time > now() - INTERVAL 1 HOUR
15	ORDER BY block_number DESC, trade_id DESC

CSVJSON100 rows

#	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…

Query time: 13msResult rows: 100Rows read: 254.41KBytes read: 9.86 MBEst. credits: 20

// In Action

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.

// 1

Write your SQL query

SQL Query

-- 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_user

// 2

Call and retrieve via REST

CURL Example

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"
  }'

// 3

Use and get structured JSON

JSON Response

{
  "data": [{
    "total_liquidations": 4954,
    "total_liquidated_volume_usd": 28872094.94,
    "unique_users_liquidated": 2013,
    "coins_affected": 76,
    "long_liquidations": 4015,
    "short_liquidations": 939
  }]
}

Start Building Contact Sales

Connect results directly to your trading systems, dashboards, internal workflows, or AI agents.

// See What's Possible

Track the data that matters

From funding rate analysis to liquidation monitoring to wallet intelligence, SQL Explorer gives you direct access to the data that matters.

Validator Rewards

Track staking rewards and distribution across validators over any time window.

Trading Activity

Analyze fill history, volume, and execution patterns for any wallet address.

Liquidations

Monitor liquidation notional and position sizing by asset across any time range.

// The Full Suite

One Platform.
Every Data Access Pattern.

SQL Explorer is part of Quicknode's full data suite. Access, stream, and query blockchain data your way, without additional vendors.

Queryable Data

Fully indexed onchain datasets, queryable with SQL and retrievable via REST.

SQL Explorer

Data Pipelines

Push-based, deterministic event delivery into your backend systems.

StreamsWebhooks

Raw Blockchain Data

Direct chain access for real-time state reads and transaction submission.

RPCgRPC

// Built Different

How SQL Explorer
Compares

The coverage, performance, and integration your team needs, without the data management overhead.

	SQL Explorer (Beta)	Typical Analytics Platforms
Infrastructure required	None — runs inside Quicknode	Separate vendor and integration work
Query performance	Scans 55M+ rows and GBs per query	Varies, often queue-dependent
Hyperliquid coverage	35+ tables covering protocol activity	Limited or unavailable
API access	REST API for any query result	Often limited or plan dependent
Billing	Metered from your existing Quicknode credit pool	Separate contracts and pricing
Auth and access	Same Quicknode account and API keys	Separate identity systems

Enterprise Onchain Data Access
Starts Here

Built for institutional trading desks and quant teams who need production-grade onchain data access. Share what you're working on below..

// FAQ

Frequently Asked Questions

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?

Is SQL Explorer production ready?

Billions of Onchain Data Records, Queryable with SQL

Trading desks, quant teams, and data engineers all face the same bottleneck.Getting to indexed onchain data without managing multiple data vendors or maintaining the infrastructure required to reach it.So we built SQL Explorer.

Meet SQL Explorer

From Query to RestIn Seconds

Write your SQL query

Call and retrieve via REST

Use and get structured JSON

Track the data that matters

Validator Rewards

Trading Activity

Liquidations

One Platform.Every Data Access Pattern.

Queryable Data

Data Pipelines

Raw Blockchain Data

How SQL ExplorerCompares

Enterprise Onchain Data AccessStarts Here

Frequently Asked Questions

Want to stay updated?

Docs

Guides

Billions of Onchain Data Records, Queryable with SQL

Trading desks, quant teams, and data engineers all face the same bottleneck.Getting to indexed onchain data without managing multiple data vendors or maintaining the infrastructure required to reach it.So we built SQL Explorer.

Meet SQL Explorer

From Query to RestIn Seconds

Write your SQL query

Call and retrieve via REST

Use and get structured JSON

Track the data that matters

Validator Rewards

Trading Activity

Liquidations

One Platform.Every Data Access Pattern.

Queryable Data

Data Pipelines

Raw Blockchain Data

How SQL ExplorerCompares

Enterprise Onchain Data AccessStarts Here

Frequently Asked Questions

Want to stay updated?

Docs

Guides

Billions of Onchain Data Records,
Queryable with SQL

Trading desks, quant teams, and data engineers all face the same bottleneck.
Getting to indexed onchain data without managing multiple data vendors or maintaining the infrastructure required to reach it.
So we built SQL Explorer.

From Query to Rest
In Seconds

One Platform.
Every Data Access Pattern.

How SQL Explorer
Compares

Enterprise Onchain Data Access
Starts Here

Billions of Onchain Data Records,
Queryable with SQL

Trading desks, quant teams, and data engineers all face the same bottleneck.
Getting to indexed onchain data without managing multiple data vendors or maintaining the infrastructure required to reach it.
So we built SQL Explorer.

From Query to Rest
In Seconds

One Platform.
Every Data Access Pattern.

How SQL Explorer
Compares

Enterprise Onchain Data Access
Starts Here