IP address geolocation fraud
Score login attempts for fraud risk based on IP location and user history.
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.5.81
Key facts
- Vertical
- Finance & insurance
- Function
- Agents & dev
- Status
- Seen in the wild
- Volume
- high
- Value
- major
- Risk
- high
- Evidence
- described plan
- Flags
- human-review
Source: https://www.lawbrokr.com/blog/how-law-firms-can-use-content-to-pre-qualify-leads-before-intake
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 “IP address geolocation fraud”?",
"input": "<input to classify>",
"output": "yes | no"
}Related use cases
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