Use Case

Content Moderation & Trust

Screening user content for harm and abuse.

14 providers 53 APIs 8 declared variants

Reviewing user-generated text, images, and video against policy — automated classification, human review queues, and the appeals and audit trail behind enforcement.

14 API providers on the APIs.io network offer content moderation & trust. The highest-rated are OpenAI, Youtube, Amazon Rekognition, G2, Amazon Fraud Detector.

Providers

Ranked by API Evangelist rating — Exemplar and Strong are expanded by default.

Exemplar 1 Complete, well-documented, and agent-ready
Strong 5 Solid coverage with minor gaps
Developing 5 Usable, with meaningful gaps to close
Thin 3 Limited public surface area

What Providers Actually Declared

This use case is a canonical term. These are the free-text strings providers wrote in their own apis.yml that map onto it.

API Policy EnforcementContent ModerationPromotion Abuse DetectionRefund and return abuse detection with claim-level adjudicationReview AggregationReview aggregationTrust and Safety ResearchZero Trust Policy Enforcement

Scroll for all 8

Work with this as data

Every use case here is available over the APIs.io API and to AI agents over MCP. Use Cases is not yet its own endpoint on the v1 API. Reach it through catalog search and the tag graph, or the MCP server.

MCP server

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https://apis.io/mcp

Tools for use cases

3 MCP tools reach this
  • apis_io_searchSTART HERE — APIs, providers and tags for one query, each with its total.
  • resolveTurn a domain, URL or GitHub org into the provider it belongs to.
  • find_cohortsEvery scored population of providers in the catalog.
All 92 tools →

Call it yourself

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Search the catalog
curl "https://apis.io/api/v1/search?q=content-moderation&limit=10"
Everything under a tag
curl "https://apis.io/api/v1/tags/content-moderation"

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