Coinator

The European analysis tool for Bitcoin address clustering
and transaction tracing

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Use Cases & Benefits:

Uncover Money Flows

Trace illicit funds across multiple hops—a crucial tool against money laundering.

Identify Actors

Clustering and AI analytics bring together seemingly unrelated addresses to expose criminal networks and beneficial owners.

Connect to Regulated Exchanges

Once funds reach a KYC- and AML-compliant exchange, investigations can reveal real identities.

Powerful Features

Clustering-Icon

Address Clustering

Efficiently identify linked Bitcoin addresses with state-of-the-art heuristics.

Trace-Icon

Transaction Tracing

Precisely follow the flow of funds through all transfers and mixers.

Exchange-Icon

Exchange Integrations

Display KYC-linked addresses across international exchanges in a clear overview.

Preview of Integrated Crypto Exchanges

backpack
binance
bitcoin_de
bitfinex
bitget
bitkub
bitpanda
bitstamp
bitunix
bybit
coinbase
crypto_com
gate
htx
kraken
kucoin
luno
mercado
mexc
okx

How Coinator Works

Bitcoin Address Clustering: Mixer, Mining Pool, Exchange & KYC
Infographic: Flow of Funds, Linked Addresses, Exchanges
Datenschutz Illustration

Privacy & Data Security

Coinator is fully GDPR-compliant and stores no personal data. All analyses run securely in European data centers to guarantee maximum confidentiality.

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Full Transparency

Transparent Heuristic Procedures:

Over 40 clear and auditable methods (e.g. multi-input heuristics, change-address analysis, CoinJoin & PayJoin detectors, etc.) ensure maximum transparency, trustworthiness, and legally sound traceability. We publish all algorithms, procedures, and heuristics used in Coinator.
Open and fully viewable—for trust at a European level.

AI Methods

AI-Based Clustering Methods: Extends classical procedures by leveraging artificial intelligence to detect hidden patterns and complex networks.

AI-Powered Address Analysis: Uses neural networks to identify relationships between Bitcoin addresses that classic heuristics miss.

Intelligent Transaction Clustering: Employs machine learning to group transactions based on behavior patterns and temporal sequences.

Deep-Learning Pattern Recognition: Analyzes transaction graphs to uncover hidden networks and automatically infer potentially connected entities.

Hybrid Clustering Strategies: Combines conventional heuristics with AI algorithms for more precise entity identification and reduced false positives.

EU-Symbol From Europe, for Europe

Coinator is developed and operated entirely within the European Union—for the highest data-protection standards, legal compliance, and digital sovereignty. Sensitive research and investigation data remain exclusively in European hands—without reliance on non-European providers. Coinator was and continues to be developed in Germany to provide an independent, powerful analysis tool. Protect your data and rely on local expertise free from U.S. dependencies!

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