
Investigators and compliance teams rely on blockchain data to follow and seize illicit assets and make decisions about the customers they allow on their platforms. Yet the foundational concept behind blockchain analytics — the “cluster” — has never been formally defined and is actually comprised of three distinct analytical operations, each with different evidence standards, error characteristics, and consequences when wrong. The stakes are too high for ambiguity around this term to continue.
In this paper, Chainalysis presents the formal ontology we use to deconstruct the cluster into its constituent parts — assigning each a name, a definition, and an evidentiary standard. We introduce a two-tier evidence framework that separates structural claims from intelligence-driven attribution, and we propose a shared vocabulary the industry can use to hold itself accountable.
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This paper is a first step. We publish this framework as an opening proposal and an invitation to collaborate. Download your copy to see the framework we’ve built, refined, and defended, and join the conversation the industry urgently needs to have.