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AI Agent Real-Time Fraud Detection & Investigation Hub

Risk Scorer Agent

Runs parallel inference on XGBoost v3.2 (AUC: 0.973), Neural Network v2.1 (AUC: 0.969), Random Forest v1.8 (AUC: 0.958), and Rule Engine v4.0 (Precision: 0.945). Combines outputs using F1-weighted ensemble averaging to produce a composite risk score with calibrated confidence intervals.

View Core Logic Back to Worker
Risk Scorer Agent

Part of Real-Time Fraud Detection & Investigation Hub

Portal: Nexgile CogniPay Nexus

Agent ID: risk-scorer-agent

Problem Statement

The challenge addressed

Single models have blind spots. Combining multiple models with different strengths improves overall fraud detection while reducing false positives.

Core Logic

How the agent solves it

Runs parallel inference on XGBoost v3.2 (AUC: 0.973), Neural Network v2.1 (AUC: 0.969), Random Forest v1.8 (AUC: 0.958), and Rule Engine v4.0 (Precision: 0.945). Combines outputs using F1-weighted ens...

System Navigation

Explore related components

Portal

Nexgile CogniPay Nexus

Digital Worker

Real-Time Fraud Detection & Investigation Hub

Current Agent

Risk Scorer Agent

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