Foundation Models
Foundation ModelFoundation Models
Providers using this tag (99)
Ranked by API Evangelist rating — Exemplar and Strong are expanded by default.
Exemplar 3 Complete, well-documented, and agent-ready
Strong 3 Solid coverage with minor gaps
Developing 8 Usable, with meaningful gaps to close
Thin 10 Limited public surface area
Emerging 20 Early or largely undocumented
Minimal 55 Almost no public developer surface
APIs with this tag (13)
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 1 Complete, well-documented, and agent-ready
Strong 6 Solid coverage with minor gaps
Developing 2 Usable, with meaningful gaps to close
Thin 1 Limited public surface area
Emerging 3 Early or largely undocumented
Companies reaching this through an API (4)
These companies publish an API, specification or operation carrying “Foundation Models” 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
Where this tag sits
Related tags
Where this tag comes from
Cohort brief
Auto-generatedThe 94 providers in the APIs.io catalog tagged Foundation Models, scored on the Kin Score. Every figure below is computed from the catalog — nothing here is written.
| Facet | This cohort | Catalog | Difference | Scored |
|---|---|---|---|---|
| Discoverability | 57 | 58.1 | -1.1 | 94 |
| Operational Transparency | 12.6 | 13.7 | -1.1 | 94 |
| Developer Ergonomics | 20.6 | 23.2 | -2.6 | 94 |
| Contract Governance | 3.6 | 6.3 | -2.7 | 94 |
| Contract Quality | 13.1 | 17.6 | -4.5 | 94 |
| Access Clarity | 19.1 | 26.5 | -7.4 | 94 |
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) | 14% | 14% | 0 |
| MCP server (first-party) | 13% | 12% | +1 |
| Agent Skills | 0% | 0% | 0 |
| OAuth scopes | 4% | 11% | -7 |
| Security | 100% | 98% | +2 |
| Arazzo workflows | 3% | 2% | +1 |
| Governance rules | 11% | 14% | -3 |
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 OpenAI 84.8
- 2 Anthropic 79.4
- 3 NVIDIA NIM 68
- 4 Amazon Nova 62.1
- 5 Amazon Bedrock 55
- 6 Prime Intellect 55
- 7 Uthana 51
- 8 Nixtla 48.9
- 9 Microsoft Azure AI Foundry 45
- 10 Prior Labs 43.2
- 1 OpenAI 57.1
- 2 Prior Labs 53.8
- 3 Amazon Nova 49.5
- 4 Anthropic 46.7
- 5 Prime Intellect 33.7
- 6 xAI 32.6
- 7 Nixtla 32.4
- 8 Together AI 31.6
- 9 Strand AI 30.7
- 10 Inflection AI 28.7
Work with this as data
Every tag here is available over the APIs.io API and to AI agents over MCP.