Chainalysis provides blockchain intelligence built for high-stakes investigations, compliance, and national security work backed by data validated through independent scrutiny, courtroom testing, and real-world results.
Chainalysis is the only blockchain intelligence provider tested under the Daubert standard in U.S. federal court.
Chainalysis intelligence was validated using ground-truth evidence in a U.S. federal case involving one of the largest Bitcoin money-laundering services ever prosecuted. Evidence included subpoenaed datasets, undercover transactions, and confirmation from a cooperating defendant.
The results demonstrated:
This level of documented testing and evidentiary validation is unmatched among blockchain intelligence providers.
An academic study presented at the USENIX Security Symposium evaluated blockchain-intelligence providers using a controlled ground-truth dataset. Chainalysis is the only blockchain intelligence vendor to be independently evaluated by a third party.
How the study worked
Prior to submission, we did responsible disclosure to Chainalysis and to the second firm. Where the former responded very positively, thanking us for the insights, the second provider immediately responded with legal objections and threats.
USENIX Report
Delivering results in the industry’s highest-impact investigations.
Case Study
Chainalysis analytics and training enabled investigators to trace, freeze, and recover $21M in illicit crypto, demonstrating how blockchain intelligence turns insight into recoverable value.
CASE STUDY
Chainalysis data mapped over $7.8B in crypto activity tied to Iran in 2025, revealing how flows spike around major geopolitical and domestic events. During this time, competing vendors reported an 11% decrease from 2024, while Chainalysis data shows inflows have increased.
Chainalysis is the only blockchain intelligence provider whose data has been evaluated in a peer-reviewed academic study against a verified ground truth. In 2025, researchers from TU Delft Netherlands published findings comparing Chainalysis attribution data against the actual server data seized from three illicit services by law enforcement. The results: true positive rates (address coverage) of up to 94.85% and false positive rates as low as 0.01%.
Chainalysis is the only blockchain analytics provider whose methodology has survived a formal Daubert challenge in U.S. federal court. In the landmark United States v. Sterlingov (Bitcoin Fog) case in 2024, Judge Randolph Moss of the U.S. District Court for the District of Columbia ruled that Chainalysis blockchain analytics is “the product of reliable principles and methods” and admissible as substantive evidence.
The defense argued Chainalysis operated as a “black box algorithm.” The court found the exact opposite: Chainalysis uses deterministic clustering methods, meaning the same inputs always produce the same outputs, and the entire process can be reconstructed step by step for audit and review. This transparency is critical because it allows prosecutors, defense attorneys, and judges to independently verify how conclusions were reached.
That Daubert ruling sets a legal precedent for courts and agencies worldwide, affirming that Chainalysis intelligence meets the evidentiary standards required for criminal prosecution.
Not all blockchain intelligence is created equal, and those differences compound in real-world operations. Chainalysis is the only vendor whose data has been both independently evaluated in academic research and tested under the Daubert standard in U.S. federal court. Combined with continuous validation from our global customer base and a Global Intelligence Team with over a decade of proprietary data collection, is why we lead the industry.
These numbers matter because every false positive has a cost: wasted analyst time, unnecessary escalations, eroded confidence in the tooling, and in compliance environments, regulatory risk from inconsistent or unreliable decisioning. With low false positive rates, teams spend their time resolving real risks rather than chasing noise.
It’s worth noting that calculating a meaningful false positive rate requires a verified source of truth to check against and Chainalysis is the only vendor to have been peer-reviewed in this way. Vendors who cannot demonstrate independently validated accuracy metrics are asking customers to take their word for it.
Compliance teams operate at the intersection of regulatory obligation and operational capacity, and most are severely stretched. In an environment where bandwidth is the most valuable resource, data quality isn’t a nice-to-have, it’s the difference between a highly functional program and an inefficient, bottle-necked one.
Poor data quality shows up in two ways that directly threaten compliance programs:
Chainalysis has supported the recovery or freezing of over $34.3 billion in stolen and illicit cryptocurrency, a figure far leading the industry. This effectiveness comes down to three things: data accuracy, speed, and the breadth of the investigative network.
Accurate clustering and attribution mean investigators can reliably trace funds from theft through mixers, bridges, and intermediaries to identifiable off-ramps without hitting dead ends from misattributed addresses. Speed matters because stolen crypto moves fast: Chainalysis supports new tokens within seconds of deployment, ensuring investigators aren’t blind to assets moving through newly created channels.
Chainalysis prioritizes transparency and evidence-based proof for both attribution and clustering. Chainalysis uses deterministic clustering, so with the same inputs, come the same outputs, every time. Every cluster can be reconstructed, enabling peer review, customer verification, and courtroom defense. We strive to avoid being a “black box,’ especially compared to other vendors.
Chainalysis is the only provider that has:
The question isn’t only whether a provider claims transparency, it’s whether they’ve proven it under conditions they don’t control.