Blockchain Analytics
Blockchain analytics is software that traces transactions across a public chain and attributes addresses to entities and risk categories — exchanges, mixers, sanctioned parties, darknet markets. Crypto businesses use it to screen counterparties, monitor flows and investigate alerts.
Also called: chain analysis · on-chain monitoring
Public blockchains record every transfer, but they record addresses, not names. Blockchain analytics closes that gap. Vendors cluster addresses that behave as though they belong to one wallet, label the clusters they can identify — an exchange deposit address, a mixer, a sanctioned entity, a known marketplace — and then trace value between them.
The output is usually a risk score for an address or a transaction, built from direct and indirect exposure: how much of the value arriving here came from a labeled source, and how many hops away that source was. Compliance teams use the score to decide whether to credit a deposit, hold a withdrawal, ask the customer a question or escalate. It is the data layer underneath most crypto know your transaction screening, and it feeds the on-chain side of sanctions screening.
Labels come from a mixture of sources: the vendor’s own test deposits into services, public disclosures, court filings, scraped forum data and customer feedback. Quality varies by chain, by region and by how long the vendor has been collecting. Coverage of large centralized exchanges is generally good. Coverage of small regional services generally is not.
In practice
Attribution is probabilistic, not proof. A risk score is an input to a decision rather than the decision itself, and two vendors will often score the same address differently.
Example
A customer deposits funds that arrived two hops from a cluster one vendor labels as a sanctioned exchange and another labels as an unknown service. The first vendor returns a high score, the second a low one. Nothing about the transaction changed. The firm still has to decide, and it has to be able to explain the decision later.
Commonly confused with
| Term | How it differs |
|---|---|
| Transaction Monitoring | Transaction monitoring applies rules to activity inside a firm’s own accounts; blockchain analytics attributes addresses and flows on a public chain, including counterparties the firm has no relationship with. |
| Know Your Transaction | Know your transaction is the control a firm operates; blockchain analytics is the data and attribution that make the crypto version of that control possible. |
See also
- Know Your TransactionKnow your transaction, or KYT, is the practice of screening individual transactions and the counterparties behind them, particularly on-chain, rather than relying only on what was established about the customer at onboarding. It answers a different question: not who this customer is, but where this particular payment came from.
- Transaction MonitoringTransaction monitoring is the ongoing review of customer activity — automated rules and models plus human investigation — against what the firm expected that customer to do and against known laundering patterns. Activity that does not fit produces an alert for someone to work.
- Travel RuleThe travel rule requires the firm sending a transfer to pass identifying information about the originator and the beneficiary to the firm receiving it, so that the data travels with the money. It began as a banking wire rule and now reaches virtual asset transfers as well.
- Sanctions ScreeningSanctions screening is the checking of customers, counterparties and payment messages against sanctions lists and watchlists — at onboarding, repeatedly afterwards, and on payments while they are still in flight — and the holding or rejecting of anything that genuinely matches.