What agents can do with Tuteliq
Tuteliq covers four capability areas — all accessible via API, MCP tools, or OpenAPI spec:Content Safety
Detect grooming, bullying, self-harm, radicalisation, and all 9 KOSA harm categories across text, voice, images, and video.
Fraud Detection
Identify social engineering, romance scams, app fraud, and money mule recruitment targeting minors and vulnerable users.
Age & Identity Verification
Verify user age via document analysis, biometric estimation, or both. Full identity verification with face matching and liveness detection for COPPA/KOSA compliance.
Analysis & Reporting
Emotional trend analysis, age-appropriate action plans, and professional incident reports ready for trust & safety teams.
Verification endpoints
| Endpoint | What it does | Tier |
|---|---|---|
POST /api/v1/verify/age | Document OCR, biometric age estimation, or combined — returns verified age range, is_minor, and confidence | Pro |
POST /api/v1/verify/identity | Document authentication + face matching + liveness detection — prevents impersonation and spoofing | Business |
POST /api/v1/verify/session | Manage multi-step verification sessions with liveness challenges | Pro |
age_group to all safety endpoints for properly calibrated risk scoring. See the Verification guide for full details.
llms.txt
Thellms.txt file is a concise, structured summary of Tuteliq — like robots.txt, but for AI. It tells agents what the API does, which endpoints are available, and where to find detailed documentation.
llms-full.txt
Thellms-full.txt file is the complete API reference in plain text — every endpoint, parameter, response field, and example. Ideal for agents that need full context to generate accurate API calls.
OpenAPI Spec
The full OpenAPI 3.1 specification is available at:AI Plugin Manifest
For agents that support the OpenAI plugin standard:MCP Server
For AI assistants that support the Model Context Protocol (Claude Desktop, Cursor, Windsurf), Tuteliq exposes all detection tools as MCP tools — no code required. The MCP server also provides built-in data resources (tuteliq://documentation, tuteliq://context-fields, etc.) that agents can read for full parameter references.
See the MCP setup guide for configuration instructions.
Quick Reference
| File | URL | Use Case |
|---|---|---|
llms.txt | tuteliq.ai/llms.txt | Quick discovery — what Tuteliq does and where to learn more |
llms-full.txt | tuteliq.ai/llms-full.txt | Full API reference for agents that need complete context |
openapi.json | api.tuteliq.ai/openapi.json | OpenAPI 3.1 spec for code generation and API clients |
ai-plugin.json | api.tuteliq.ai/.well-known/ai-plugin.json | OpenAI plugin manifest |
| MCP Server | api.tuteliq.ai/mcp | Native tool integration for MCP-compatible assistants |