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Documentation Index

Fetch the complete documentation index at: https://docs.responsibleailabs.ai/llms.txt

Use this file to discover all available pages before exploring further.

Endpoint: POST /railscore/v1/compliance/check | Framework code: india_ai_gov | Credits: 5.0 per call
India’s AI governance guidelines establish principles for responsible AI development and deployment. The compliance check evaluates AI content against these principles, covering fairness, transparency, accountability, and safety.

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Supported checks

AreaPrincipleWhat’s checked
FairnessNon-discriminationWhether outputs show bias across protected attributes
TransparencyExplainabilityWhether AI involvement and decision basis are disclosed
AccountabilityAuditabilityWhether audit trails and responsibility chains exist
SafetyHarm preventionWhether safeguards against harmful outputs are in place
PrivacyData protectionAlignment with India’s data protection framework
InclusivityAccessibilityWhether the system serves diverse populations equitably
ReliabilityAccuracyWhether outputs are reliable and consistent

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Request

curl -X POST https://api.responsibleailabs.ai/railscore/v1/compliance/check \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer YOUR_RAIL_API_KEY" \
  -d '{
    "content": "Based on the applicant profile, the system recommends denying the insurance claim.",
    "frameworks": ["india_ai_gov"],
    "context": "Insurance claim processing AI for Indian customers"
  }'

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Response

{
  "result": {
    "overall_compliant": false,
    "frameworks": {
      "india_ai_gov": {
        "compliant": false,
        "issues": [
          {
            "clause": "Transparency — Explainability",
            "description": "Automated denial recommendation lacks explanation of factors considered.",
            "severity": "high",
            "remediation": "Provide a clear explanation of the key factors that led to the denial recommendation, and disclose that the decision was AI-assisted."
          },
          {
            "clause": "Accountability — Grievance redressal",
            "description": "No mention of appeal or grievance mechanism for the affected individual.",
            "severity": "medium",
            "remediation": "Include a mechanism for the applicant to contest or appeal the automated recommendation."
          }
        ]
      }
    }
  },
  "credits_consumed": 5.0
}

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Combine with India DPDP

For comprehensive India compliance, check governance guidelines alongside DPDP: 
curl -X POST https://api.responsibleailabs.ai/railscore/v1/compliance/check \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer YOUR_RAIL_API_KEY" \
  -d '{
    "content": "The system processes Aadhaar-linked records to verify identity.",
    "frameworks": ["india_ai_gov", "india_dpdp"],
    "context": "Identity verification AI for Indian financial services"
  }'
For deeper DPDP compliance (PII scanning, consent tracking, breach timers), use the dedicated India DPDP endpoints.
Dedicated India AI governance endpoints for model card generation, fairness audits, and sector-specific compliance are under development.