Risk indicators
Detect hidden risks with advanced and comprehensive risk indicators
Discover key behavioral, geographical, and entity-based risks with Scorechain’s KYA Reports. Our system analyzes data across multiple dimensions, flagging suspicious behavior and high-risk countries or entities. These risk indicators help you quickly identify potential threats, allowing you to act swiftly and decisively in response to regulatory obligations.
The in-depth analysis provided by our KYA Reports includes information on behavioral patterns such as abnormal transaction activity, links to high-risk regions, or connections with known risky entities.
These indicators are essential for ensuring your compliance processes are proactive and efficient, helping you avoid costly penalties and maintain regulatory integrity.
Risk Scoring
Assess address credibility with precise risk scoring
Evaluate cryptocurrency addresses with precise risk scoring tailored to your compliance needs. Scorechain’s KYA Reports assign an incoming and outgoing risk score to each address, giving you a clear understanding of the address’s risk profile. Whether funds are entering from risky sources or being sent to suspicious destinations, our scoring system helps you make informed compliance decisions.
Each score is calculated based on a comprehensive set of factors, including transaction history, associated entities, and geographical exposure. This granular approach ensures that your compliance team can manage risks more effectively, aligning with your jurisdiction's AML regulations and your internal risk thresholds.
Activity Overview
Gain full transparency with comprehensive balance and transaction records
Gain complete visibility into the activity of any cryptocurrency address with Scorechain’s Activity Overview. Our reports provide a detailed log of balance changes, received and sent funds, and the number of transactions over time. This allows compliance teams to track an address’s full financial history, uncovering patterns that may indicate fraudulent or high-risk activity.
By analyzing historical transaction data, you can assess the reliability of an address, identify abnormal trends, and ensure that the activity complies with AML requirements. This comprehensive view is essential for due diligence, reporting, and ongoing monitoring of digital assets.
