Exposure mapping
Walks the multi-chain transaction graph outward from a single address, scoring each connection by distance, volume, and source confidence.
- Distance-weighted graph traversal
- Cross-chain counterparty resolution
PreCog scores wallets, names laundering patterns, and surfaces the evidence — before the headline writes itself.
Weighted sum of 5 named signals across 3 chains.
94% confidenceEvery PreCog score is assembled from purpose-built engines — each reads the chain differently, and each shows its work.
Walks the multi-chain transaction graph outward from a single address, scoring each connection by distance, volume, and source confidence.
Real-time detection of the behaviors laundering leaves behind — fan-out, peel chains, dormancy, and timing anomalies as they unfold.
Resolves N-hop lineage across known-bad wallets, weighting each path by distance and provenance to expose inherited risk.
Three stages turn billions of transactions into a single score you can stand behind in a report.
We index and normalize activity across 6 chains into one consistent graph — addresses, transfers, contracts, and labels aligned to a common model.
Named signals each return a sub-score + confidence + evidence. ATLAS, TANGO and PEDIGRID run in parallel against the normalized graph.
Signals collapse into one weighted risk score — with the full reasoning attached. Export an audit-ready trail, not a number.
A risk score you can't explain is a liability. Every PreCog verdict is a weighted sum of named signals — and each signal carries the evidence that produced it: the source, the flagged address, the exact number of hops.
Request access to PreCog and start scoring wallets, tracing lineage, and exporting evidence your team can defend.