Wallet clustering
Heuristic + ML
Groups wallets that share operational patterns or ownership.
Ethereum Mainnet • Southeast Asia
Wallet Investigator for launch teams shipping production tokens
Map wallet relationships, clustering, and transaction flows to uncover counterparties and hidden networks. Teams preparing public token launches with responsibilities ranging from smart contract readiness to liquidity, compliance, and community updates. Detect anomalies, suspicious approvals, and governance changes before funds are at risk. 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.
- Need repeatable deployment workflows across multiple networks.
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 live monitoring of contract upgrades, proxy changes, and admin key usage..
- Southeast Asia: MAS and other regulators push for strict risk disclosures and capital reserve reporting. Align token founding teams workflows with zero critical issues reported post-launch..
- For launch teams shipping production tokens, 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
Need repeatable deployment workflows across multiple networks. Zero critical issues reported post-launch.
Ethereum Mainnet focus
Uniswap, Lido, EigenLayer, and Aave drive high-value flow and require precise gas timing. 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. Partnerships rely on community activations and localized education events.
Token scanner sweeps of newly listed assets interacting with your treasury. Partnerships rely on community activations and localized education events.
Mapping transacting wallets to known entities for counterparty risk scoring. 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.