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AI Agent Real-Time Fraud Detection & Investigation Hub Active

Feature Engineer Agent

Computes 42 features from Feature Store (Feast/Tecton pattern) with <200ms P99 latency. Processes 8 real-time features (transaction amount, IP reputation, device risk), 10 historical features (avg_30d, velocity_1h), and 8 derived features (amount_deviation_ratio, risk_composite) for downstream model consumption.

View Core Logic Back to Worker
Parent Worker Real-Time Fraud Detection & Investigation Hub
Agent ID feature-engineer-agent
Portal Nexgile-CogniPay Nexus
Sector Financial Technology - Payment Processing
Status
Operational

Problem Statement

The challenge addressed

Fraud detection requires computing hundreds of features from multiple data sources in real-time, including transaction history, device data, and behavioral patterns.

Core Logic

How the agent solves it

Computes 42 features from Feature Store (Feast/Tecton pattern) with <200ms P99 latency. Processes 8 real-time features (transaction amount, IP reputation, device risk), 10 historical features (avg_30d...

System Navigation

Explore related components

Portal

Nexgile-CogniPay Nexus

Digital Worker

Real-Time Fraud Detection & Investigation Hub

Current Agent

Feature Engineer Agent

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