Question 1

What is indexed blockchain data?

Accepted Answer

Indexed blockchain data is onchain activity that's already parsed, sorted, and stored in a queryable form. Balances, transactions, asset metadata, trading fills, agent registrations. Instead of pulling raw blocks over RPC and decoding them yourself, you query the data you actually need by address, asset, block, or attribute. Quicknode indexes the chains and data types most teams build with, then exposes them through SQL, JSON-RPC, and REST.

Question 2

What chains and data types does Quicknode index?

Accepted Answer

Five product surfaces cover most production use cases. SQL Explorer covers 500B+ rows of Hyperliquid data across 45+ tables (trades, fills, positions, liquidations, funding, staking, builders, outcome markets). Blockbook covers balances, transaction history, UTXOs, and xpub data on Ethereum, Bitcoin, Litecoin, Bitcoin Cash, Zcash, and Dogecoin. ERC-8004 Agent Discovery covers agent identity, capabilities, and reputation across 15 EVM mainnets and 11 testnets. Metaplex DAS API covers NFTs, compressed NFTs, fungible tokens, MPL Core, and Token 2022 on Solana. Ordinals and Runes API covers inscriptions and runes on Bitcoin across 21 RPC methods.

Question 3

How is this different from running my own indexer or subgraph?

Accepted Answer

Running your own indexer means standing up a database, writing decoders for each contract or asset standard, handling chain reorgs, and re-syncing every time a chain upgrades. You pay for engineering time on day one and on every chain you add. Quicknode indexes the data, handles the reorgs, and ships new chain coverage. You activate the product from your dashboard and query it from the API key you already have.

Question 4

Do I need a separate account or contract for each indexed data product?

Accepted Answer

No. Every product on this page runs on your existing Quicknode account, your existing endpoint, and your existing API key. Activate from the dashboard, then call the new methods. No new vendor relationship, no separate authentication, no parallel billing surface to manage.

Question 5

How are indexed data products billed?

Accepted Answer

Each product has its own model. SQL Explorer is included on all paid Quicknode plans and consumes API credits from your plan's pool, scaled to data scanned and query time. Credit cost shows in the UI after each run. Blockbook is 20 API credits per method call, and each chain activates separately. ERC-8004 has a free plan available, with paid plans for higher volume. Metaplex DAS API has a free tier, with premium plans from $10/month. Ordinals and Runes API starts at $100/month.

Question 6

Is SQL Explorer production-ready while in public beta?

Accepted Answer

The SQL Explorer query engine and REST API are stable for production workloads today. Public beta status reflects active iteration on the schema browser, sample query catalog, and chain coverage roadmap, not the underlying query layer. Teams are running production analytics, internal dashboards, and customer-facing APIs against it.

Question 7

Can I query Hyperliquid data with SQL?

Accepted Answer

Yes. SQL Explorer exposes 45+ Hyperliquid tables covering fills, orders, trades, order book diffs, positions, funding rates, liquidations, HIP-3 staking, HIP-4 outcome markets, builder activity, and protocol-level data. 500B+ rows in total. Explore and build queries with SQL in the dashboard editor, and programmatically query SQL Explorer with a REST endpoint authenticated with your existing Quicknode API key. Results return as JSON.

Question 8

What is ERC-8004 and why does it matter for AI agents?

Accepted Answer

ERC-8004 is an onchain registry for autonomous agents: identity, declared capabilities, and reputation feedback, all readable by other systems before they hand off work. Orchestration layers call erc8004_getAgent and erc8004_getAgentFeedback to confirm an agent is registered and meets a feedback threshold before routing sensitive tasks to it. Quicknode indexes the registry across 15 EVM mainnets and 11 testnets, so AI workflows can verify counterparties without running their own indexer or trusting offchain claims.

Question 9

Which indexed data product should I use for my use case?

Accepted Answer

Match the product to the data you need. Trading, staking, or market data on Hyperliquid: SQL Explorer. Balances, transactions, or UTXOs in a wallet on Bitcoin, Ethereum, Litecoin, Bitcoin Cash, Zcash, or Dogecoin: Blockbook. Routing work to AI agents and verifying identity, capabilities, or reputation onchain: ERC-8004 Agent Discovery and Reputation. NFT, compressed NFT, fungible token, or MPL Core metadata on Solana: Metaplex DAS API. Inscriptions, runes, or satoshi data on Bitcoin: Ordinals and Runes API.

1	-- 熱門清算 · 24 小時內
2	SELECT 硬幣， sum(價格 * 數量) AS 成交量
3	來自hyperliquid_fills
4	WHERE is_liquidation = 1
5	GROUP BY coin 依交易量 DESC

#	硬幣	volume_usd
1	BTC	14,820,394
2	ETH	9,210,883
3	SOL	4,103,228

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SQL 探索器

Blockbook

Metaplex 數位資產 (DAS) API

序數與符文 API

ERC-8004 API：Agent 發現與聲譽

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