Inference
Inferenceinference
Providers using this tag (123)
Ranked by API Evangelist rating — Exemplar and Strong are expanded by default.
Exemplar 3 Complete, well-documented, and agent-ready
Strong 8 Solid coverage with minor gaps
Developing 43 Usable, with meaningful gaps to close
Thin 43 Limited public surface area
Emerging 14 Early or largely undocumented
Minimal 12 Almost no public developer surface
APIs with this tag (90)
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 6 Complete, well-documented, and agent-ready
Strong 16 Solid coverage with minor gaps
Developing 32 Usable, with meaningful gaps to close
Thin 30 Limited public surface area
Emerging 5 Early or largely undocumented
Minimal 1 Almost no public developer surface
Companies reaching this through an API (40)
These companies publish an API, specification or operation carrying “Inference” 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 120 providers in the APIs.io catalog tagged Inference, scored on the Kin Score. Every figure below is computed from the catalog — nothing here is written.
| Facet | This cohort | Catalog | Difference | Scored |
|---|---|---|---|---|
| Developer Ergonomics | 43.8 | 23.4 | +20.4 | 120 |
| Contract Quality | 39 | 19.8 | +19.2 | 120 |
| Operational Transparency | 24.4 | 14 | +10.4 | 120 |
| Discoverability | 69.6 | 61.2 | +8.4 | 120 |
| Access Clarity | 34.3 | 26.5 | +7.8 | 120 |
| Contract Governance | 7.8 | 6.4 | +1.4 | 120 |
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) | 17% | 10% | +7 |
| MCP server (first-party) | 21% | 13% | +8 |
| Agent Skills | 0% | 0% | 0 |
| OAuth scopes | 3% | 11% | -8 |
| Security | 98% | 97% | +1 |
| Arazzo workflows | 5% | 2% | +3 |
| Governance rules | 24% | 14% | +10 |
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 fal 67.6
- 3 Segmind 67.2
- 4 Modal 64.4
- 5 NexGen Cloud 64.3
- 6 Amazon SageMaker 63.2
- 7 Seekr 61.3
- 8 Cerebras Systems 60.4
- 9 Hyperbolic 59.4
- 10 Prime Intellect 56.5
- 1 Roboflow 54
- 2 Fastino Labs 52
- 3 NexGen Cloud 47.2
- 4 Sail 43.2
- 5 Sail Research 41.4
- 6 Dedalus Labs 40.7
- 7 OpenRelay 40.6
- 8 Superb AI 39.7
- 9 FriendliAI 37.9
- 10 RouterPlex 37.2
Work with this as data
Every tag here is available over the APIs.io API and to AI agents over MCP.