Practical guides and resources for developers
Score every tool call an agent wants to make before it runs. The RAIL Score MCP server returns ALLOW, FLAG, or BLOCK, so you can stop destructive or malicious actions in one guard.
Connect to the RAIL Score MCP server with the Python mcp SDK, score content across 8 responsible-AI dimensions, and turn those scores into an allow, flag, or block decision with a policy.
Wrap an agent turn with prompt-injection detection, a tool-call firewall, PII redaction, and policy scoring using the RAIL Score MCP server and the Python mcp SDK.
Use the RAIL Score MCP server to detect and mask Aadhaar, PAN, GSTIN, and bank details, then gate processing steps for consent and cross-border rules under India's DPDP Act 2023.
Why blocking unsafe AI outputs is not enough. How RAIL's Safe Regeneration moves beyond binary flag-and-block to iteratively detect, fix, and verify AI responses -- preserving utility while enforcing safety.
Build a chatbot with built-in ethical guardrails using OpenAI, RAIL Score SDK, and real-time safety evaluation.
Step-by-step guide to integrating RAIL Score evaluation into your Python application using the official SDK.
# Install RAIL Score SDK
pip install rail-score
# Import and use
from rail_score import RAILScore
# Initialize
rail = RAILScore(api_key="your_api_key")
# Evaluate content
result = rail.score(
text="Your AI-generated content here"
)
print(result.safety_score)
# Coming soon: Full documentationReady to integrate RAIL Score? Use our official SDKs for your platform.