Wallet Risk Score Guide · 2026
Published by the CryptoAML.ai team, which builds the checker named in this guide.
A CryptoAML.ai risk score is a number from 0 to 100 that sums up how much exposure an address has to flagged activity. It is a risk signal, not a clean or dirty verdict, and it never replaces your own compliance decision.
| CryptoAML.ai score | Level | Example trigger | Sensible next step |
|---|---|---|---|
| 0-19 | Low | Few or no flags found at check time | Handle as normal |
| 20-49 | Medium | A risk label on the address, such as darknet, scam or hack | Ask the sender for a source of funds |
| 50-79 | High | Significant exposure, for example an address on a known scam or phishing list | Manual review, consider declining |
| 80-100 | Critical | Direct OFAC SDN address match or comparable severe flags | Stop and escalate |
These bands belong to CryptoAML.ai. Other tools use different scales, so read each vendor's own definition before comparing numbers.
Two tools can score the same wallet differently, and neither has to be wrong. Three factors can explain the gap.
Coverage comes first. Databases label different things and refresh at different speeds.
The second factor is hop depth. Say one tool traces two steps back through the transaction chain and another traces five. Exposure sitting three steps back shows up only in the deeper trace, so the same wallet can look clean in one report and flagged in the other.
Last come weighting rules. One tool counts any mixer contact in full, another discounts a small share of volume. Same data, different scores.
USDT on TRON (TRC-20) is a routine AML-check case because it carries P2P and OTC payments. Before you trust a score, confirm the tool actually covers the chain of the address. A tool built mostly on Ethereum data can say little about a TRON address, and a thin result is not the same as a clean one.
AML (Anti-Money Laundering) screening for crypto means matching a wallet address with sanctions data and blockchain analytics labels, which surfaces sanctioned entities and links to illicit funds.
Run the address through an AML screening tool or bot. It looks the address up against sanctions data and analytics labels, then returns a risk score. No match does not prove the funds are clean.
CryptoAML.ai marks 50 to 79 as high and 80 to 100 as critical. Check each vendor's own scale.
It depends on the tool. The CryptoAML.ai web tool recognizes 17 networks, while its Telegram bot covers at least Bitcoin, Ethereum and TRON, and any further networks depend on its screening provider. The bot declines BNB Smart Chain, Polygon, Arbitrum, Avalanche, Optimism and other EVM networks.
No. Few or no flags were found at check time, and that is all a low score says. Treat it as a point-in-time risk signal, not legal or compliance advice.