Risk scoring for any transaction. Instantly.
Detect suspicious transactions in real time and receive instant notifications of emerging AML risks using a single, integrated KYT solution. Learn how to check USDT for purity and safety.
Why you need an AML risk score
Know the risk before you lose money
Every transaction can be a threat. The AML system instantly detects the risk level and keeps “dirty” funds out of your business.
Stop illegal operations before they settle
Fraud, sanctioned addresses, darknet — all of it can pass through you. We surface dangerous links in advance so you never become part of an illicit scheme.
The full truth about every transaction
No grey zone. A complete breakdown: where funds came from, what they are linked to and what risks they carry. Decisions based on facts, not guesses.
Instant risk alerts
Risk does not wait — and neither should you. The system flags suspicious operations in real time so you react before problems arise.
Automated control with no blind spots
Manual checks mean errors and missed risks. Automation surfaces new threats even in old transactions and lets nothing slip through.
Keep everything under control in one place
Lost money, frozen accounts, banking issues — the price of weak control. Bring analytics, history and risks together and stay in control.
A transparent 0–100 scale
Every source of funds is weighted by its category. The final score shows how exposed an address is to illicit activity.
Supported currencies
AML risk score is computed for addresses and tokens across major blockchain networks.
183 assets across 18 networksAML risk score: how it works
What is a Risk Score
A crypto wallet Risk Score is an aggregated AML-risk assessment of an address based on the available transaction history and known connections. It helps you prioritise quickly, but should not be read apart from source categories and the check context.
AML risk vs an AML check
AML risk is the final estimate of an address’s likely dangerous links. An AML check is the analysis process itself — of a wallet or transaction — that examines sources of funds, connection categories and produces the Risk Score.
How AML risk is calculated
The model accounts for the type and share of risky sources, direct or indirect links, chain depth, data recency and other signals. Methodologies differ between services, so the same number can mean different things on different platforms.
Low, Medium and High Risk
Low risk usually allows standard processing when there are no other signals. Medium risk may require source-of-funds documents or a manual review. High risk implies escalation under internal policy. There is no universal threshold — it is set based on the product, the customer and jurisdiction requirements.
How to read an AML report
First check the network and the address itself, then the overall score, categories, source shares, connection depth and the analysis date. Then match the result against the customer profile and the purpose of the operation. Keep not only the final number but also the grounds for the decision.
What to do with a high Risk Score
Do not judge by the indicator colour alone. Pause the automated decision, review the categories and the path of funds, request supporting documents and escalate the case to a responsible specialist.
Which sources raise the risk
- sanctioned addresses and prohibited services
- darknet markets and mixers
- scam, fraud and stolen funds
- high-risk exchanges and unlicensed swappers
- extortion, malware and other criminal categories
An indirect link usually calls for a different assessment than directly receiving funds from a flagged address.
Frequently asked questions
It is an aggregated assessment of detected AML risk based on the address history and known connection categories.
No. It points to factors that require analysis, but it is not standalone legal evidence.
Labelling databases and the address history are updated, and new transactions and details about related services appear.
Use both. Categories and connection depth explain how the final score was formed.
Review the reasons for the score and apply the additional checks your policy requires, for example a source-of-funds request.
No. It only means there are no significant known signals in the available data at the time of the check.
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