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Tuteliq, AI-Powered Child Safety API

Detect grooming, bullying, self-harm, fraud, radicalisation and more: 13 harm categories, one detection endpoint each across text, voice, image, and video. 1.1-1.5s typical response. 32 languages: English stable, 31 beta. Zero content retention: submitted content is deleted immediately after inference. Supports KOSA, COPPA and EU DSA compliance.

For agents: Child safety API detecting grooming, bullying, self-harm and fraud across text, voice, image and video, with quickstart, OpenAPI spec and 32-language support.

child-safetycontent-moderationgrooming-detectionbullying-detectionsafety-apicoppa-compliance

Their llms.txt

The beginning of the file, from our validated copy saved 2026-10-23T22:52:57.778Z. Cached copy · Source on tuteliq.ai

# Tuteliq, AI-Powered Child Safety API

Tuteliq is a child safety API for platforms (https://tuteliq.ai/child-safety-api).

> Detect grooming, bullying, self-harm, fraud, radicalisation and more: 13 harm categories, one detection endpoint each across text, voice, image, and video. 1.1-1.5s typical response. 32 languages: English stable, 31 beta. Zero content retention: submitted content is deleted immediately after inference. Supports KOSA, COPPA and EU DSA compliance.

## Documentation

- [Quickstart](https://docs.tuteliq.ai/quickstart): Make your first detection call in under 5 minutes
- [Document Analysis](https://docs.tuteliq.ai/api-reference/document): Upload PDFs for multi-endpoint safety analysis with per-page detection
- [How It Works](https://docs.tuteliq.ai/how-it-works): Detection pipeline, scoring, and response format
- [API Reference](https://docs.tuteliq.ai/api-reference/introduction): Full OpenAPI specification
- [Composability](https://tuteliq.ai/docs/composability): Safety primitives, not classifiers. Compose sibling endpoints so an agent can route interventions instead of returning a single label.
- [Grooming Detection](https://docs.tuteliq.ai/grooming-detection): Eight per-message tactics: flattery, secrecy request, isolation, boundary pushing, photo request, gift giving, meeting request, and reconnaissance. Sexual content is a content category, not a grooming tactic.
- [Vulnerability Exploitation](https://tuteliq.ai/docs/api-reference/vulnerability-exploitation): Returns cross_endpoint_modifier and vulnerability_profile so an agent can multiply a sibling endpoint's risk when a target is vulnerable.
- [Language Support](https://docs.tuteliq.ai/languages): Only English has both published precision and recall. 26 further languages have measured recall between 0.893 and 1.000 (German, Portuguese, Italian, Dutch, Polish, French, Spanish, and more); precision for those languages is not yet published. Response guides localized so moderators see operational instructions in their own language. Honest about what is stable and what is beta.
- [KOSA Readiness](https://docs.tuteliq.ai/kosa-compliance): Harm category mapping to the drafted Kids Online Safety Act. KOSA is not law: S.1748 was ordered reported by Senate Commerce on 5 August 2026 and awaits a floor vote, and the House text differs.
- [KOSA Readiness Landing](https://tuteliq.ai/kosa-compliance): How Tuteliq helps platforms prepare for KOSA while meeting obligations already in force under the EU DSA, the UK Online Safety Act and COPPA. No platform can be "KOSA compliant" today.

- [Language Support](https://docs.tuteliq.ai/languages): 32 supported languages with culture-aware analysis
- [GDPR](https://docs.tuteliq.ai/gdpr): Data retention, right to erasure, and compliance details
- [Age & Identity Verification](https://docs.tuteliq.ai/verification): Multi-layered verification, ICAO 9303 MRZ parsing, PDF417 barcodes, 128-dim face matching, liveness detection, 7-layer fraud prevent
…

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