Wallet clustering
Heuristic + ML
Groups wallets that share operational patterns or ownership.
Arbitrum One • United States
Wallet Investigator for protocol security teams
Map wallet relationships, clustering, and transaction flows to uncover counterparties and hidden networks. Focus on smart contract security, counterparty risk, and operational safeguards for treasuries and protocols. Ensure contracts, liquidity, and community messaging are coordinated for a resilient launch. 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.
- Proactively identifying malicious approvals and upgrade patterns is tedious.
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 pre-launch dry runs with multi-chain contract simulation and gas forecasts..
- United States: FinCEN MSB registration, OFAC screening, and SEC/CFTC case law influence product decisions. Align risk & security analysts workflows with fewer false positives in alerting systems..
- For protocol security teams, 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
Proactively identifying malicious approvals and upgrade patterns is tedious. Fewer false positives in alerting systems.
Arbitrum One focus
GMX, Camelot, and perpetual protocols rely on deep liquidity analytics. 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. Teams must evidence internal controls and retain comprehensive activity logs for potential subpoenas.
Real-time dashboards for holder distribution and whale surveillance. Teams must evidence internal controls and retain comprehensive activity logs for potential subpoenas.
Automated documentation for investors and exchanges covering upgrades and approvals. 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.