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Chainalysis Data

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Solution introduction

Using clever machine learning, dedicated forensic experts, and an extensive customer network, we’re continually mapping on-chain data to real-world entities

As a result, we’ve built the world’s most trusted blockchain knowledge graph for web3, just as search engines did for web2

The power of network and community
More than 500 of our web3, bank, and government customers around the world bring their specific insights to our data, creating the largest trust network in the crypto ecosystem. Everyone benefits from the same trusted knowledge graph and understanding of blockchain activity. More importantly, connections are improved daily through the unique contributions of our community.

Massive scalability
We verify all attributions with evidence gathered via advanced research, what we call ground truth, by combining automated intelligence, deep forensic expertise, and rigorous evaluation processes that ensure data integrity. This ground truth is then intelligently, automatically, and reliably scaled to millions of on-chain addresses and wallets via a process called clustering. Organizations consistently choose our solutions because we provide the most comprehensive and reliable connections to real-world entities. Today, that amounts to mapping over a billion addresses, 55K business and illicit entities, and all associated smart contracts across a lifetime total received value of $21+ trillion.

Faster investigations with machine learning and automation
As first movers and the largest player in the space, we’ve collected extensive ground-truth data and refined our clustering and analytics engine for almost a decade. This massive collection of well-labeled data is perfect training for powerful and accurate machine learning (ML) models. We use these models to automate the manual workflows of expert investigators and compliance analysts, such as tracing through peel chains or identifying common deposits and withdrawals from mixing services. This ML-based automation suite saves thousands of tedious hours so users can focus on solving cases faster and protecting their platforms by effectively managing risk.

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