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. Manages positions across DEX venues, farming programs, and on-chain derivatives with a high tolerance for volatility and a need for speed. 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.
Ethereum Mainnet profile
Deepest liquidity and broadest institutional adoption.
Base fees typically 15–40 gwei outside of NFT drops; priority fees ~1–2 gwei.
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.
Fragmented liquidity and sudden gas spikes erode trade execution. Tighter slippage and lower transaction costs per trade.
Uniswap, Lido, EigenLayer, and Aave drive high-value flow and require precise gas timing. 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.