Wallet clustering
Heuristic + ML
Groups wallets that share operational patterns or ownership.
Ethereum Mainnet • Global
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. Ensure contracts, liquidity, and community messaging are coordinated for a resilient launch. Teams operating in 24/7 markets with globally distributed contributors.
- 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.
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. 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. Requires tooling that supports asynchronous collaboration, multi-timezone monitoring, and localized communications.
Real-time dashboards for holder distribution and whale surveillance. Requires tooling that supports asynchronous collaboration, multi-timezone monitoring, and localized communications.
Automated documentation for investors and exchanges covering upgrades and approvals. Requires tooling that supports asynchronous collaboration, multi-timezone monitoring, and localized communications.
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
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.