AI Agent Real-Time Fraud Detection & Investigation Hub

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

Part of Real-Time Fraud Detection & Investigation Hub

Portal: Nexgile CogniPay Nexus

Agent ID: feature-engineer-agent

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... 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.

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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