Wallet clustering
Heuristic + ML
Groups wallets that share operational patterns or ownership.
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. Teams operating in 24/7 markets with globally distributed contributors.
Wallet clustering
Heuristic + ML
Groups wallets that share operational patterns or ownership.
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.
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. Fewer false positives in alerting systems.
Used by Nike, Starbucks, and major gaming studios for large user cohorts. Pre-launch dry runs with multi-chain contract simulation and gas forecasts.
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.
Yes. Upload CSV or JSON cluster definitions to align with internal intelligence.
We overlay public attribution datasets and allow custom enrichment via API.
Graph rendering dynamically loads segments to keep performance stable even with thousands of nodes.