Wallet clustering
Heuristic + ML
Groups wallets that share operational patterns or ownership.
Map wallet relationships, clustering, and transaction flows to uncover counterparties and hidden networks. Focus on smart contract security, counterparty risk, and operational safeguards for treasuries and protocols. Provide regulators and auditors with verifiable data on asset flows, ownership, and upgrade governance. US remains the largest source of institutional crypto volume and venture-backed launches.
Wallet clustering
Heuristic + ML
Groups wallets that share operational patterns or ownership.
Case exports
GraphML, JSON, PDF
Share investigation results with stakeholders or regulators.
Polygon PoS profile
Enterprise and gaming friendly L2 with low-cost transactions.
Typical base fee below 60 gwei with sub-$0.05 execution costs.
Graph visualizations connecting wallets via token transfers, LP shares, and governance activity. Entity tagging with metadata (team, treasury, exchange, MEV, mixers). Flow timelines to trace funds across chains and protocols.
Proactively identifying malicious approvals and upgrade patterns is tedious. Fewer false positives in alerting systems.
Used by Nike, Starbucks, and major gaming studios for large user cohorts. Continuous monitoring of allowance and upgrade activity with time-stamped notes.
Continuous monitoring of allowance and upgrade activity with time-stamped notes. Teams must evidence internal controls and retain comprehensive activity logs for potential subpoenas.
Automated transaction decoding for SAR/STR preparation. Teams must evidence internal controls and retain comprehensive activity logs for potential subpoenas.
Cross-referencing CEX proof-of-reserve feeds with on-chain holdings. Teams must evidence internal controls and retain comprehensive activity logs for potential subpoenas.
Yes. Upload CSV or JSON cluster definitions to align with internal intelligence.
We overlay public attribution datasets and allow custom enrichment via API.
Graph rendering dynamically loads segments to keep performance stable even with thousands of nodes.