Wallet clustering
Heuristic + ML
Groups wallets that share operational patterns or ownership.
Polygon PoS • 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. Deliver timely, data-rich updates to LPs, token holders, and partners. 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.
Polygon PoS profile
Enterprise and gaming friendly L2 with low-cost transactions.
Typical base fee below 60 gwei with sub-$0.05 execution costs.
Unique insights
- Polygon PoS: Typical base fee below 60 gwei with sub-$0.05 execution costs. Pair this with wallet investigator to curated dashboards highlighting tvl, exchange depth, and wallet cohorts..
- 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 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
Fragmented liquidity and sudden gas spikes erode trade execution. Tighter slippage and lower transaction costs per trade.
Polygon PoS focus
Used by Nike, Starbucks, and major gaming studios for large user cohorts. 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. Expect multi-language communications, evidence of consumer protections, and sustainability reporting.
Narrative-ready charts for newsletters, board decks, and AMA sessions. Expect multi-language communications, evidence of consumer protections, and sustainability reporting.
Automated FAQ documentation pulling from transaction decoders and glossaries. 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.