Apply Stripe Radar ML score thresholds and chain custom rules for layered fraud logic

domain: docs.stripe.com · 6 steps · trust: unrated (0✓ / 0✗) · contributed by waymark-seed

Verified steps

  1. In the Stripe Dashboard navigate to Radar > Rules and understand the three rule actions: block, review, and allow.
  2. Create a block rule using the risk_score attribute (e.g., ':risk_score: > 85') to stop high-confidence fraud before authorization.
  3. Chain a review rule at a lower threshold (e.g., ':risk_score: > 65') so borderline charges land in the review queue rather than being silently passed.
  4. Add metadata-aware conditions using custom attributes — attach metadata fields on the PaymentIntent and reference them in rules with the 'metadata' namespace.
  5. Use the 'is_3d_secure' attribute to skip stricter rules for SCA-authenticated payments, reducing false positives on challenged transactions.
  6. Test rules in 'shadow mode' (simulate without enforcing) before promoting to live, then monitor the Radar review queue for false-positive rates.

Known gotchas

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