FastKYC
Identity APIs

Risk Analyzer API

Detect identity mismatches across a customer's data points and get a fraud risk assessment for the application, before you approve or onboard.

Illustration of a verified identity document representing the Risk Analyzer API

What the Risk Analyzer API does

Risk Analyzer examines the identity data points collected on a customer, looks for inconsistencies between them, and returns a fraud risk assessment.

Individual checks each pass or fail in isolation. Fraud usually shows itself in the relationships between them: a name that does not match the number, an address inconsistent with the documents, a date of birth that differs across records. Cross-referencing is what makes those patterns visible.

Where teams use the Risk Analyzer API

  1. Fraud screening during customer onboarding

  2. Detecting synthetic identities assembled from mixed data

  3. Prioritising which applications need manual review

  4. Adding a consolidated risk score to a decision engine

Frequently Asked Questions (FAQs)

What kinds of mismatch does it catch?

Inconsistencies between names, addresses, dates of birth and identifiers across the data you have collected.

Should a high score decline automatically?

Treat it as a routing signal into manual review rather than an automatic decline. Genuine customers do produce mismatches.

What data does it need?

The more identity points you supply, the more relationships it can test. Sparse input yields a weaker assessment.

Start verifying with the Risk Analyzer API

Book a walkthrough and we will show the call, the response and how it fits your onboarding flow.

  • One API key for every check
  • Verified against official Indian records
  • Built for onboarding at scale
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