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. Provide regulators and auditors with verifiable data on asset flows, ownership, and upgrade governance. MiCA, ESMA guidance, and FCA rules define comprehensive disclosure and reserve requirements.
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.
Need repeatable deployment workflows across multiple networks. Zero critical issues reported post-launch.
Uniswap, Lido, EigenLayer, and Aave drive high-value flow and require precise gas timing. Continuous monitoring of allowance and upgrade activity with time-stamped notes.
Continuous monitoring of allowance and upgrade activity with time-stamped notes. Expect multi-language communications, evidence of consumer protections, and sustainability reporting.
Automated transaction decoding for SAR/STR preparation. Expect multi-language communications, evidence of consumer protections, and sustainability reporting.
Cross-referencing CEX proof-of-reserve feeds with on-chain holdings. Expect multi-language communications, evidence of consumer protections, and sustainability reporting.
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.