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. Teams preparing public token launches with responsibilities ranging from smart contract readiness to liquidity, compliance, and community updates. Detect anomalies, suspicious approvals, and governance changes before funds are at risk. Teams operating in 24/7 markets with globally distributed contributors.
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.
Need repeatable deployment workflows across multiple networks. Zero critical issues reported post-launch.
Used by Nike, Starbucks, and major gaming studios for large user cohorts. Live monitoring of contract upgrades, proxy changes, and admin key usage.
Live monitoring of contract upgrades, proxy changes, and admin key usage. Requires tooling that supports asynchronous collaboration, multi-timezone monitoring, and localized communications.
Token scanner sweeps of newly listed assets interacting with your treasury. Requires tooling that supports asynchronous collaboration, multi-timezone monitoring, and localized communications.
Mapping transacting wallets to known entities for counterparty risk scoring. Requires tooling that supports asynchronous collaboration, multi-timezone monitoring, and localized communications.
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.