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RAIL Score is organized into three areas: the core concepts you score with, the governance layer that decides what to do with a score, and specialized checks for regulatory and agent use cases. Each concept has its own page, API reference, and SDK guide.

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Core concepts

Evaluation

Score content across 8 RAIL dimensions. The foundation of everything else.

RAIL Framework

The 8 dimensions in detail, with score anchors and examples.

Safe Regeneration

Automatically regenerate content that falls below your quality threshold.

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Governance

Applications

How API keys, environments, and the policy that governs them fit together.

Policy Engine

Turn scores into actions: log, block, or regenerate below your thresholds.

Middleware

Drop-in provider wrappers that score every LLM response automatically.

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Specialized checks

Compliance

Check content against GDPR, HIPAA, EU AI Act, CCPA, India DPDP, and more.

Agent Evaluation

Intercept tool calls, scan results, and detect prompt injection in AI agents.

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How the pieces fit together

Start with Evaluation: every other concept builds on it.