Wallet clustering
Heuristic + ML
Groups wallets that share operational patterns or ownership.
Ethereum Mainnet • United States
Wallet Investigator for high-frequency DeFi trading desks
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. Deliver timely, data-rich updates to LPs, token holders, and partners. US remains the largest source of institutional crypto volume and venture-backed launches.
- 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.
Key metrics
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.
Unique insights
- Ethereum Mainnet: Base fees typically 15–40 gwei outside of NFT drops; priority fees ~1–2 gwei. Pair this with wallet investigator to curated dashboards highlighting tvl, exchange depth, and wallet cohorts..
- United States: FinCEN MSB registration, OFAC screening, and SEC/CFTC case law influence product decisions. Align active defi traders workflows with tighter slippage and lower transaction costs per trade..
- For high-frequency DeFi trading desks, emphasize Combines automated clustering with analyst-friendly manual tagging. and track Frequency and quality of market structure updates delivered to stakeholders. weekly.
Why teams rely on this tool
Core capabilities
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.
Audience fit
Fragmented liquidity and sudden gas spikes erode trade execution. Tighter slippage and lower transaction costs per trade.
Ethereum Mainnet focus
Uniswap, Lido, EigenLayer, and Aave drive high-value flow and require precise gas timing. Curated dashboards highlighting TVL, exchange depth, and wallet cohorts.
Operational playbook
- 1Seed the graph with addresses or transactions of interest.
- 2Expand relationships, apply entity tags, and flag suspicious flows.
- 3Export investigation packs or synchronize with compliance tickets.
Use cases
Curated dashboards highlighting TVL, exchange depth, and wallet cohorts. Teams must evidence internal controls and retain comprehensive activity logs for potential subpoenas.
Narrative-ready charts for newsletters, board decks, and AMA sessions. Teams must evidence internal controls and retain comprehensive activity logs for potential subpoenas.
Automated FAQ documentation pulling from transaction decoders and glossaries. Teams must evidence internal controls and retain comprehensive activity logs for potential subpoenas.
Proof points
- Security teams use the tool to triage exploits and track stolen funds.
- Compliance analysts gather intelligence before onboarding institutional clients.
- DAO contributors investigate grant usage and treasury distributions.
ChainUnified tools that pair well
Related pages
Frequently asked questions
Can I import existing clustering data?
Yes. Upload CSV or JSON cluster definitions to align with internal intelligence.
Do you integrate with chain analytics providers?
We overlay public attribution datasets and allow custom enrichment via API.
How are large graphs handled?
Graph rendering dynamically loads segments to keep performance stable even with thousands of nodes.