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AI Model Governance

apifyforgebyapifyforge
•
Ciencia de Datos y ML
Analíticas y Monitorización
Web Scraping y Recopilación de Datos

Automate regulatory intelligence for AI agents, compliance teams, and legal counsel via the Model Context Protocol, providing live access to crucial AI governance data.

This tool delivers comprehensive AI model governance intelligence to empower AI agents, compliance teams, and legal counsel. Operating through the Model Context Protocol (MCP), it provides real-time access to US federal regulations, congressional AI bills, EU AI Act signals, academic safety research, and open-source audit tooling. It features 8 purpose-built tools that score, classify, and explain the AI governance landscape, returning structured JSON with scores, evidence signals, and actionable recommendations to streamline regulatory intelligence and compliance workflows.

Características Principales

01Composite governance verdict combining all scoring models for a single WELL_GOVERNED to UNGOVERNED assessment
02Keyword detection for EU AI Act signals, NIST RMF alignment, and bias/fairness coverage
030 GitHub stars
04Parallel data collection from multiple sources completing in 30-90 seconds
058 MCP tools covering regulatory landscape, legislation tracking, risk classification, and more
064 independent scoring models: Regulatory Velocity Index, Research-Regulation Gap Analysis, Framework Alignment Score, and OSS Tooling Maturity Index

Casos de Uso

01Chief AI Officers for defensible framework alignment reporting against NIST AI RMF and EU AI Act requirements
02Enterprise AI governance teams for automated regulatory monitoring and tracking shifts before compliance deadlines
03In-house legal and compliance teams for tracking AI enforcement actions from FTC, EEOC, and state attorneys general