Payment fraud screening
Score transactions on risk signals before you approve them.
Use-case advisor
Advisor readyAsk how payment fraud screening should work for your exact product, data and team.
What this use case means
Payment fraud screening layers email age, IP reputation and phone risk into a single score that helps you approve good orders and challenge risky ones.
When to use it
- Use it at checkout or before fulfilment when order value or fraud rates justify a second look.
- Manual review is slow because the useful signals live across Email, IP, Phone and related sources.
- Your team needs structured JSON that can feed a CRM, risk queue, SOC case, support tool, warehouse or AI agent.
How Encrata powers it
01
Capture the identifier
Gather the order's email, IP and phone at checkout.
02
Run the lookup stack
Score each identifier for risk and cross-reference breaches.
03
Score the result
Aggregate into an approve / review / decline signal.
04
Send it downstream
Route flagged orders to a manual review queue.
Implementation shape
Example payloadPOST /api/agent/lookup
{ "use_case": "payment-fraud-screening", "input": { "email": "example_email", "ip": "example_ip", "phone": "example_phone" }, "fields_to_watch": [ "email validity", "full name", "role", "ip reputation", "vpn/proxy", "geolocation" ], "action": "approve, review or decline"}