Detect fraud orders in real-time
Score orders for fraud risk based on device, location, velocity, and payment mismatches
AA clean typed decision (yes/no, a pick from a list, or a level on a scale) that is concrete, repeats routinely, and has meaningful value.5.99
Key facts
- Vertical
- E-commerce & retail
- Function
- E-commerce ops
- Status
- Seen in the wild
- Volume
- high
- Value
- major
- Risk
- high
- Evidence
- described plan
- Flags
- human-review
Source: https://stripe.com/resources/more/ecommerce-fraud-prevention
Build this with a classifier
Define a typed decision with a bounded answer, then evaluate it on examples.
{
"decision_type": "yes_no",
"question": "Does this input match the decision in “Detect fraud orders in real-time”?",
"input": "<input to classify>",
"output": "yes | no"
}Related use cases
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