Digital Asset Claims Blockchain Analytics
Blockchain analytics converts raw ledger entries into structured relationships between addresses. Every relationship it proposes is an inference, and each inference is recorded with the heuristic that produced it.
Heuristics Applied To Ledger Data
Common-input ownership
Addresses spent together in one transaction are treated as a candidate cluster, subject to the known exceptions created by collaborative spending.
Change-output detection
Outputs matching change behaviour extend a cluster only where the pattern holds across repeated activity, not from a single transaction.
Service and contract tagging
Addresses matched to exchanges, bridges, mixers and contracts are labelled with the source and date of the attribution used.
Why Analytics Output Is Not A Conclusion
A cluster describes behaviour on a ledger. It does not name a person, and the ledger contains no field in which a person is recorded.
Attribution to a real-world party requires material outside the chain — an exchange record, a public statement, a document supplied by the client — and is graded on the strength of that external material, not on the cluster.
Limitations
Heuristics degrade with privacy tooling, batching services and cross-chain movement. Where a heuristic cannot be relied on, the link is recorded as unverified rather than dropped silently.