See the flows nobody else can name.
BlockQuery names the entity behind an on-chain transaction. Where a stablecoin mint actually lands. When a named desk moves BTC, before it confirms. Delivered as data you own.
A specimen record. On chain: 400 BTC from address 3F2a to bc1q. BlockQuery resolves the same transfer to: 400 BTC from a Seoul OTC desk to Binance.
What we cover
Stablecoin flows
Everyone sees the mint. Almost nobody sees where it goes. We track USDC and USDT to the venue that receives it, including the regional exchanges across LatAm, Africa and Asia that run on stablecoin rails and sit unattributed everywhere else.
Bitcoin, before it confirms
We see BTC transactions in the mempool with the sending entity named. You know a specific desk or treasury is moving size before it lands on-chain.
Cut to your question
Every feed comes off the same attribution layer. Choose the entities, the chains, the granularity and the history that match what you are actually trying to answer.
CSV or parquet for history, live feed in the identical schema, no dashboard. Point-in-time attributed, so a backtest only sees what was knowable at the time.
Provenance
Powered by Chainlabs.
Chainlabs has spent six years building one of the largest entity attribution datasets in crypto, naming the exchanges, OTC desks, funds, miners and treasuries behind on-chain addresses. BlockQuery is the same attribution layer, pointed at the questions a trading desk asks.
90,000 addresses attributed through direct research, hundreds of millions more through entity clustering - 312M+ on Bitcoin, 47M+ on Ethereum, 94.4M+ on Tron. Around 300 new attributions added monthly.
Clients include
Human-verified by a team of intelligence analysts, not purely algorithmic.
Verifiable source evidence behind each attribution.
Questions
What is on-chain entity attribution?
Naming the real-world entity behind an on-chain address: the exchange, OTC desk, fund, miner, treasury, ETF or stablecoin issuer. BlockQuery names the entity on both sides of a transfer, so a move reads as a relationship rather than a single address. Read more.
How is the data delivered?
Multi-year history as CSV or parquet for research, plus a live API in the identical schema, line for line. No dashboard and no cleaning step. An optional mempool feed adds attributed Bitcoin transactions before they are mined.
What is point-in-time attribution?
Every attribution carries the date it was established, not just what it says. Query March 2025 and you see what was knowable in March 2025, so a backtest reflects a signal you could actually have traded. Why backtests need it.
Which blockchains are covered?
Bitcoin is live first, at depth. The attribution layer spans 30+ blockchains, including Ethereum and Tron. Additional chains are available on request rather than promised as live.
How do we try it?
Request one month of sample data, free, for a couple of assets, in the schema you would receive. Tell us what you trade and what you would test it against.
Does the data predict price or produce alpha?
No. BlockQuery sells entity attribution data, not signals, and makes no claim about returns. What you build on it is yours.
Access
One month of sample data, free.
Tell us what you trade and we will send a sample in the schema you would receive. No dashboard, no sales sequence.
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