Getting started
The RAIL Score platform evaluates AI-generated text across 8 dimensions of responsible AI, returning a 0-10 score per dimension with confidence levels, explanations, and actionable recommendations.Quickstart
Get up and running with RAIL Score in under 5 minutes.
API Reference
Full endpoint specifications for all RAIL Score APIs.
Python SDK
Sync and async Python client with full type support.
JavaScript SDK
TypeScript-first SDK for Node.js and browser environments.
The 8 dimensions
| Dimension | What it measures |
|---|---|
| Fairness | Equitable treatment across demographics |
| Safety | Absence of harmful or dangerous content |
| Reliability | Factual accuracy and calibrated confidence |
| Transparency | Clear reasoning and disclosed limitations |
| Privacy | Protection of personal information |
| Accountability | Traceable, auditable reasoning |
| Inclusivity | Accessible, inclusive language |
| User Impact | Positive value delivered to the user |
Explore
RAIL Framework
Deep dive into every dimension with score anchors and examples.
Concepts: Evaluation
Basic vs deep mode, score tiers, and custom weights.
Integrations
Wrap OpenAI, Gemini, and Anthropic calls automatically.
Use Cases
End-to-end tutorials for building with RAIL Score.