ComparisonModeration API
Policy Gateway vs OpenAI Moderation API
Classification scores vs policy enforcement.
OpenAI Moderation API returns category flags and scores for harmful content in text and images. Policy Gateway enforces policy-as-code with rewrite, redact, escalate, and refuse outcomes plus audit logging.
Feature Comparison
| Capability | OpenAI Moderation API | Policy Gateway |
|---|---|---|
| Primary function | Classify harmful content with category flags and scores. | Enforce policy-as-code on every request. |
| Inputs supported | Text + image inputs with omni-moderation-latest. | Text + images on the OpenAI-compatible chat endpoint. |
| Endpoint | /v1/moderations moderation endpoint. | /policy/chat/completions policy endpoint. |
| Output signals | Returns flagged, categories, and category_scores. | Decision metadata with reason codes for audits. |
| Actions | Classification signals for your app to enforce. | Allow / Rewrite / Redact / Escalate / Refuse. |
Choose OpenAI Moderation when
- You only need classification scores to plug into your own policy logic
- You want a lightweight, standalone moderation endpoint
- Your enforcement workflow already exists in your application
Choose Policy Gateway when
- You need inline enforcement with rewrite, redact, or escalate outcomes
- You want structured reason codes and audit logging for compliance
- You need quotas and rollout controls across projects or teams
Add enforcement without rebuilding your stack
Keep your OpenAI-compatible clients and shift enforcement into Policy Gateway for consistent decisions.
1
Swap the base URL Point your OpenAI client at the Policy Gateway endpoint.
2
Apply policy rules Define rewrite, redact, or refuse behavior as code.
3
Export audit trails Stream decision metadata to your SIEM or data lake.
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