Compliance-grade AML, free for the community

What CryptoAML.ai is

A no-registration web tool that runs an Anti-Money-Laundering check against any crypto wallet address. You paste an address, we return a 0–100 risk score and a breakdown across six categories: sanctions, darknet, mixers, ransomware, scams and exchange flags.

The basic check costs nothing. The deep audit — multi-hop tracing, counterparty graph, downloadable PDF — is delivered through the @cryptoamlscan_bot Telegram bot.

Data sources

Every risk verdict is built on independent, regulator-grade datasets:

• OFAC SDN list — U.S. Treasury Specially Designated Nationals, refreshed every 24 hours.
• UN Security Council, UK HM Treasury, Australian DFAT, Swiss SECO — full sanctions coverage outside the U.S.
• FATF typologies — Recommendation 16 (Travel Rule) and the 2021 Updated Guidance on Virtual Assets.
• Darknet-market intelligence — curated wallet sets from Hydra, AlphaBay successors, Mega, Solaris and others.
• On-chain heuristics — mixer entry detection (Tornado Cash, CoinJoin, ChipMixer), peel-chain detection, dust-attack tracing.
• Exchange blacklists — publicly disclosed freezes from Binance, OKX, Bitstamp, Kraken and others.

How the engine works

For each address we run four stages:

• 1. Format detection. The wallet is classified into its chain by address shape (legacy/segwit BTC, EVM hex, TRON base58 with T-prefix, Solana base58 32–44 chars, etc.).
• 2. Direct match. The address is looked up against every sanctions and darknet list described above. A direct hit produces an immediate 95–100 score.
• 3. Counterparty trace. For non-matching addresses we walk the transaction graph up to four hops in either direction and score exposure based on the proximity, frequency and amount.
• 4. Heuristic flags. Behaviour patterns (mixer entries, peel-chain output, dust attacks, honeypot deployment) add or subtract weighted points from the score.