Wallet clustering
Heuristic + ML
Groups wallets that share operational patterns or ownership.
Arbitrum One • European Union & UK
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. Detect anomalies, suspicious approvals, and governance changes before funds are at risk. MiCA, ESMA guidance, and FCA rules define comprehensive disclosure and reserve requirements.
- 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.
Arbitrum One profile
High-throughput rollup popular with sophisticated DeFi protocols.
Rollup compression keeps most swaps under $0.30 with finality in seconds.
Unique insights
- Arbitrum One: Rollup compression keeps most swaps under $0.30 with finality in seconds. Pair this with wallet investigator to live monitoring of contract upgrades, proxy changes, and admin key usage..
- European Union & UK: GDPR impacts analytics pipelines while MiCA introduces whitepaper and asset classification rules. 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 Mean time to detect high-risk contract events. 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.
Arbitrum One focus
GMX, Camelot, and perpetual protocols rely on deep liquidity analytics. Live monitoring of contract upgrades, proxy changes, and admin key usage.
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
Live monitoring of contract upgrades, proxy changes, and admin key usage. Expect multi-language communications, evidence of consumer protections, and sustainability reporting.
Token scanner sweeps of newly listed assets interacting with your treasury. Expect multi-language communications, evidence of consumer protections, and sustainability reporting.
Mapping transacting wallets to known entities for counterparty risk scoring. Expect multi-language communications, evidence of consumer protections, and sustainability reporting.
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.