Cross-domain bridging: Heuristic linking of on-ramp/off-ramp points (e.g., exchange deposit addresses).
Behavioral & Typological Classification GNN-based pattern matching against known scam typologies (pig-butchering cluster → centralized mixer → peel chain → gambling/exchange exit).
NLP classifier on victim narrative + transaction metadata for scam-type probability vector.
Exposure & Custodial Mapping Wallet/exchange tagging returns highest-confidence custodial endpoints.
Fiat trails terminate at beneficiary IBAN/BIC + correspondent bank fields.
Automated Notification & Reporting EngineOutbound Alert Generation.
Structured SAR-like payloads are created per custodial entity (JSON + PDF):
Delivery Mechanism Crypto exchanges & wallet providers → API POST to compliance endpoint (where available) or secure email drop .
Banks & EMIs → SWIFTNet FileAct / secure email / API (where partner integration exists)
Fallback: templated PDF sent via encrypted email with DKIM/SPF alignment.
Trace500 provides analytical insights and reporting support only. It does not freeze assets, issue refunds or guarantee outcomes. Results depend on data availability and third-party cooperation. First submission is free for individuals.
The Studio, 1 Canons Lane, Burgh Heath, Surrey, United Kingdom, KT20 6DP