Multi-Input Address Clustering

Multi-input address clustering is a specific heuristic used to associate multiple input addresses of a transaction with a single owner. The logic is that for a user to spend funds from multiple addresses in one transaction, they must possess the private keys for all those addresses.

This is a powerful tool for building comprehensive entity profiles on a blockchain. By traversing the transaction history, analysts can expand these clusters to include hundreds or thousands of addresses.

This technique is a primary method for mapping the infrastructure of centralized services and whale wallets. It is a cornerstone of on-chain data analytics, providing insights into liquidity distribution and holder behavior.

While some advanced wallets use techniques to prevent this clustering, it remains highly effective against standard transaction patterns. It is an essential component of modern forensic workflows.