Wallet clustering
Heuristic + ML
Groups wallets that share operational patterns or ownership.
Arbitrum One • Southeast Asia
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. Deliver timely, data-rich updates to LPs, token holders, and partners. 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.
- 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 curated dashboards highlighting tvl, exchange depth, and wallet cohorts..
- Southeast Asia: MAS and other regulators push for strict risk disclosures and capital reserve reporting. 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 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
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. 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. Partnerships rely on community activations and localized education events.
Narrative-ready charts for newsletters, board decks, and AMA sessions. Partnerships rely on community activations and localized education events.
Automated FAQ documentation pulling from transaction decoders and glossaries. 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.