Engineering

Integrating RAIL Score in Python: Complete Developer Guide

Build safety-aware AI applications with RAIL Score API

RAIL Engineering Team

November 4, 2025

20 min read

RAIL API request and response structure

RequestPOST /railscore/v1/eval

{
  "prompt": "Describe this patient...",
  "response": "Based on the data...",
  "dimensions": "all",
  "depth": "deep"
}

Response200 OK

{
  "rail_score": 7.4,
  "dimensions": {
    "fairness": 8.1,
    "safety": 9.2,
    "reliability": 6.8,
    "transparency": 5.5,
    "privacy": 7.9,
    "accountability": 6.4,
    "inclusivity": 8.3,
    "user_impact": 7.1
  },
  "confidence": 0.91
}

rail_scoreWeighted average across 8 dimensions

dimensionsIndividual score per RAIL dimension (0–10)

confidenceModel certainty in the evaluation (0–1)

Introduction

This comprehensive guide walks you through integrating RAIL Score into your Python applications. Whether you're building a chatbot, content moderation system, or any AI-powered application, RAIL Score provides multidimensional safety evaluation to help you deploy responsibly.

Integrating RAIL Score in Python: Complete Developer Guide

Introduction

RAIL Score Integration Flow

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