Implementing a Real-Time Identity Risk Scoring API: A Developer's Guide
Blog post from Didit
Excluded from normalized aggregate trends after staff review: 3056 posts were attributed to March 2026; 671 shared March 14, 2026. The preceding six-month median was 13.5 posts.
Review evidence: 3,056 posts in March 2026; 671 shared March 14, 2026; preceding six-month median 13.5. Reviewed August 9, 2026.
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An identity risk scoring API is a tool that provides real-time assessment of the risk associated with a user's identity, helping businesses prevent fraud, comply with regulatory requirements such as Know Your Customer (KYC) and Anti-Money Laundering (AML), and make informed decisions during user onboarding and transactions. By evaluating a wide range of data points, from identity document verification and behavioral biometrics to device fingerprinting and geospatial analysis, the API generates a dynamic numerical score indicating the likelihood of fraudulent activity. Real-time processing is crucial for applications in sectors like financial services, gaming, or e-commerce, as it allows for automated decisions, enhances user experience, and immediately mitigates fraud risks. Effective integration of such an API involves managing API keys, preparing and sending user data, processing responses, and implementing decision logic based on risk scores. Didit provides an identity risk scoring API that supports over 220 countries and territories, offers a pay-per-use pricing model, and facilitates rapid integration, designed to enhance security and compliance with certifications like SOC 2 Type 1 and ISO/IEC 27001, while offering 500 free checks monthly to encourage adoption.
| Trend | Post Mentions | Total Month Mentions | Posts | Companies | MoM |
|---|---|---|---|---|---|
| Real-time | 8 | 6,055 | 1,444 | 270 | -11% |
| Developer Experience | 1 | 430 | 253 | 101 | -17% |
| Secrets Management | 1 | 2,539 | 400 | 136 | +9% |
| Vector Search | 1 | 1,918 | 398 | 137 | -21% |
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