tx-cluster-analyzer

You can cluster blockchain transactions by fetching real RPC data or processing manual transaction sets to build address relationship graphs. This identifies transfer patterns like fan_out and fan_in to reveal fund movement dynamics.

Transaction graph construction links related blockchain transactions into a network, calculating per-address degrees and net flows to classify fund movement into patterns like single_transaction, fan_out, fan_in, chain, or complex.

Yes, you can analyze Ethereum and Polygon transaction data using RPC APIs. The system connects to multi-network RPCs to fetch transaction details and construct address relationship graphs for pattern detection and flow mapping.

No, an RPC API connection is not strictly required. You can provide a custom transaction set for offline clustering to perform pattern detection and generate per-address metrics for risk and compliance scenarios.

Mapping web3 fund exposure is best achieved by constructing a transaction relationship graph and calculating comprehensive metrics. This identifies top-value actors and per-address net flows, producing visualization-ready output for auditing scenarios.

Offline clustering for blockchain transaction pattern detection is limited by its reliance on manually provided transaction data. Without real RPC connectivity, it cannot dynamically fetch new transaction details or update the address relationship graph automatically.