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Fraud Signal Extraction

Detect fraud signals in real-time from transaction descriptions, user messages, and behavioral patterns. Semantic understanding catches patterns that rules miss.

Speed:Traditional NLP: 150ms (too slow), LFM: 18ms (within auth budget)
Cost:Semantic detection catches patterns regex can't
Adapt:New fraud pattern → LEAP fine-tune in 30 minutes

Input

Try an example:
24 characters • 4 words

LFM Output

Output will appear here...