AI Agent Multi-Agent AI Credit Analysis & Financial Health Platform Active

Default Probability & Risk Tier Specialist

Calculates Probability of Default using logistic regression models, assigns risk tiers (Super-Prime ≥720, Prime 660-719, Near-Prime 620-659, Subprime 580-619, Deep Subprime <580), estimates confidence intervals, and determines product eligibility. Uses `pd_model` (~200ms) and `risk_stratifier` (~50ms) tools.

View Core Logic Back to Worker

Parent Worker Multi-Agent AI Credit Analysis & Financial Health Platform

Agent ID

risk-assessor-agent

Portal Nexgile-FintelliQ Nexus

Sector Fintech / Credit Bureau & Lending Technology

Status

Operational

Problem Statement

The challenge addressed

Lenders need accurate probability of default calculations and risk tier classifications to make appropriate credit decisions and set pricing strategies.

Core Logic

How the agent solves it

Calculates Probability of Default using logistic regression models, assigns risk tiers (Super-Prime ≥720, Prime 660-719, Near-Prime 620-659, Subprime 580-619, Deep Subprime <580), estimates confidence... Calculates Probability of Default using logistic regression models, assigns risk tiers (Super-Prime ≥720, Prime 660-719, Near-Prime 620-659, Subprime 580-619, Deep Subprime <580), estimates confidence intervals, and determines product eligibility. Uses `pd_model` (~200ms) and `risk_stratifier` (~50ms) tools.

System Navigation

Explore related components

Portal

Nexgile-FintelliQ Nexus

Digital Worker

Multi-Agent AI Credit Analysis & Financial Health Platform

Current Agent

Default Probability & Risk Tier Specialist

Here