Automated Credit Risk Assessment Microservice

Design a Node.js microservice that performs automated credit risk assessment using machine learning models. The system should integrate multiple data sources including credit bureau APIs, social media signals, and alternative credit scoring mechanisms. Implement a modular scoring algorithm, real-time decision engine, and comprehensive audit logging. Support multiple risk models, handle complex edge cases, and generate explainable AI risk assessments.