Wallet clustering
Heuristic + ML
Groups wallets that share operational patterns or ownership.
Ethereum Mainnet • Southeast Asia
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. Ensure contracts, liquidity, and community messaging are coordinated for a resilient launch. Indonesia, Vietnam, and Singapore drive retail and institutional demand with strong gaming ecosystems.
- 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 pre-launch dry runs with multi-chain contract simulation and gas forecasts..
- Southeast Asia: MAS and other regulators push for strict risk disclosures and capital reserve reporting. 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 Time to deploy audited contracts across priority networks. 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. Pre-launch dry runs with multi-chain contract simulation and gas forecasts.
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
Pre-launch dry runs with multi-chain contract simulation and gas forecasts. Partnerships rely on community activations and localized education events.
Real-time dashboards for holder distribution and whale surveillance. Partnerships rely on community activations and localized education events.
Automated documentation for investors and exchanges covering upgrades and approvals. Partnerships rely on community activations and localized education events.
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.