High-Frequency Credit Risk Assessment Pipeline

Design a Laravel microservice for automated, real-time credit risk assessment using machine learning models. Develop a distributed system that ingests multiple data sources, performs multi-dimensional risk scoring, and generates instant credit recommendations. Implement robust data validation, support for multiple risk models, secure API endpoints, and integration with credit bureaus and financial databases. Include advanced anomaly detection and fraud prevention mechanisms.