predict_risk_neural
Predict AI system compliance risks including overall risk, violation probability, remediation urgency, and audit priority. Neural network model improves accuracy with each use.
Instructions
Neural network-based risk prediction that improves from every compliance check. Predicts overall risk, violation probability, remediation urgency, and audit priority.
Behavior: This tool is read-only and stateless — it produces analysis output without modifying any external systems, databases, or files. Safe to call repeatedly with identical inputs (idempotent). Free tier: 10/day rate limit. Pro tier: unlimited. No authentication required for basic usage.
When to use: Use this tool when you need to assess, audit, or verify compliance requirements. Ideal for gap analysis, readiness checks, and generating compliance documentation.
When NOT to use: Do not use as a substitute for qualified legal counsel. This tool provides technical compliance guidance, not legal advice. Behavioral Transparency: - Side Effects: This tool is read-only and produces no side effects. It does not modify any external state, databases, or files. All output is computed in-memory and returned directly to the caller. - Authentication: No authentication required for basic usage. Pro/Enterprise tiers require a valid MEOK API key passed via the MEOK_API_KEY environment variable. - Rate Limits: Free tier: 10 calls/day. Pro tier: unlimited. Rate limit headers are included in responses (X-RateLimit-Remaining, X-RateLimit-Reset). - Error Handling: Returns structured error objects with 'error' key on failure. Never raises unhandled exceptions. Invalid inputs return descriptive validation errors. - Idempotency: Fully idempotent — calling with the same inputs always produces the same output. Safe to retry on timeout or transient failure. - Data Privacy: No input data is stored, logged, or transmitted to external services. All processing happens locally within the MCP server process.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| system_name | Yes | ||
| system_type | No | ||
| uses_biometric | No | ||
| uses_health_data | No | ||
| uses_financial_data | No | ||
| has_human_oversight | No | ||
| affected_users | No | ||
| sector | No | ||
| has_documentation | No | ||
| prior_incidents | No | ||
| deployed_cross_border | No | ||
| model_explainable | No | ||
| api_key | No |