Three Agents, One Mission: Building a Real-Time Fraud Detection System with XGBoost
Towards AI
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Machine Learning
Generative AI
How a multi-agent architecture - powered by XGBoost - turns a fraud classifier into a complete, observable, and actionable detection pipeline. Table of Contents The Real Problem with Fraud Detection The Architecture: Divide, Specialize, Collaborate Setting the Stage: The Message Protocol Agent 1: The Data Fetcher Agent 2: The Fraud Detector: XGBoost at the Core Agent 3: The Notification Sender Bringing It Together: The FraudDetectionModel The Dashboard: Watching the Agents Think Running It Yourself What This System Gets Right: and Where to Take It Next.