OpenAI-Compatible
Providers using this tag (34)
Ranked by API Evangelist rating — Exemplar and Strong are expanded by default.
Exemplar 1 Complete, well-documented, and agent-ready
Developing 14 Usable, with meaningful gaps to close
Thin 18 Limited public surface area
Emerging 1 Early or largely undocumented
APIs with this tag (39)
Ranked by the provider's API Evangelist rating — the Kin Score is scored per provider, not per API, so every API of a provider shares its band. How the rating works →
Exemplar 3 Complete, well-documented, and agent-ready
Strong 2 Solid coverage with minor gaps
Developing 13 Usable, with meaningful gaps to close
Thin 15 Limited public surface area
Emerging 5 Early or largely undocumented
Companies reaching this through an API (27)
These companies publish an API, specification or operation carrying “OpenAI-Compatible” but do not classify their business under it. Listed unranked and kept out of the count above, because one tagged operation is not a statement about what a company does.
Score breakdown
Related tags
Where this tag comes from
Cohort brief
Auto-generatedThe 34 providers in the APIs.io catalog tagged OpenAI-Compatible, scored on the Kin Score. Every figure below is computed from the catalog — nothing here is written.
| Facet | This cohort | Catalog | Difference | Scored |
|---|---|---|---|---|
| Contract Quality | 44.1 | 20.3 | +23.8 | 34 |
| Developer Ergonomics | 46.1 | 23.6 | +22.5 | 34 |
| Discoverability | 75.4 | 61.3 | +14.1 | 34 |
| Access Clarity | 38.9 | 26.7 | +12.2 | 34 |
| Operational Transparency | 25 | 14.1 | +10.9 | 34 |
| Contract Governance | 7 | 6.5 | +0.5 | 34 |
A facet is averaged over the members that carry it, not over the whole cohort — the “Scored” column is that count. Averaging an absent facet as zero would score our own coverage gaps as the providers’ posture.
| Artifact | This cohort | Catalog | Difference |
|---|---|---|---|
| MCP server (any) | 12% | 10% | +2 |
| MCP server (first-party) | 12% | 13% | -1 |
| Agent Skills | 0% | 0% | 0 |
| OAuth scopes | 0% | 11% | -11 |
| Security | 100% | 96% | +4 |
| Arazzo workflows | 6% | 2% | +4 |
| Governance rules | 21% | 14% | +7 |
mcp_pct counts any mcp/ artifact including ones API Evangelist derived from the provider OpenAPI; mcp_first_party_pct counts only servers the provider publishes. Prefer the latter.
- 1 NVIDIA NIM 68.3
- 2 RightNow AI 53.1
- 3 Bifrost 50.2
- 4 0G Labs 49.1
- 5 Multiverse Computing 48.4
- 6 FriendliAI 48.2
- 7 OpenRelay 47.9
- 8 Novita AI 47.4
- 9 Standard Compute 46.2
- 10 RouterPlex 44.5
- 1 OpenRelay 40.6
- 2 FriendliAI 37.9
- 3 RouterPlex 37.2
- 4 Textcortex 37.2
- 5 Novita AI 35.8
- 6 Bifrost 34.9
- 7 ToAPIs 30.9
- 8 Kimi (Moonshot AI) 30.9
- 9 0G Labs 30.6
- 10 NVIDIA NIM 28.8
Work with this as data
Every tag here is available over the APIs.io API and to AI agents over MCP.