Foundation Models
Providers using this tag (97)
Ranked by API Evangelist rating — Exemplar and Strong are expanded by default.
Exemplar 2 Complete, well-documented, and agent-ready
Strong 4 Solid coverage with minor gaps
Developing 5 Usable, with meaningful gaps to close
Thin 15 Limited public surface area
Emerging 22 Early or largely undocumented
Minimal 49 Almost no public developer surface
APIs with this tag (12)
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 5 Solid coverage with minor gaps
Developing 1 Usable, with meaningful gaps to close
Thin 2 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
Related tags
Where this tag comes from
Cohort brief
Auto-generatedThe 92 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 | 59.7 | 61.2 | -1.5 | 92 |
| Operational Transparency | 12.3 | 14 | -1.7 | 92 |
| Developer Ergonomics | 20.6 | 23.4 | -2.8 | 92 |
| Contract Governance | 3.5 | 6.4 | -2.9 | 92 |
| Contract Quality | 13.5 | 19.8 | -6.3 | 92 |
| Access Clarity | 19.1 | 26.5 | -7.4 | 92 |
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) | 10% | 10% | 0 |
| MCP server (first-party) | 13% | 13% | 0 |
| Agent Skills | 0% | 0% | 0 |
| OAuth scopes | 3% | 11% | -8 |
| Security | 100% | 97% | +3 |
| Arazzo workflows | 2% | 2% | 0 |
| 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 Anthropic 77.8
- 2 NVIDIA NIM 68.3
- 3 Amazon Nova 60.7
- 4 Recraft 58.7
- 5 Prime Intellect 56.5
- 6 Amazon Bedrock 56.2
- 7 Uthana 50.7
- 8 Hailuo AI / MiniMax 44.3
- 9 Microsoft Azure AI Foundry 44.2
- 10 Prior Labs 43.8
- 1 Amazon Nova 49.5
- 2 Anthropic 37.7
- 3 Prior Labs 37.6
- 4 xAI 34.5
- 5 Prime Intellect 33.7
- 6 Together AI 33.5
- 7 Strand AI 30.7
- 8 Inflection AI 30.6
- 9 NVIDIA NIM 28.8
- 10 Recraft 28.4
Work with this as data
Every tag here is available over the APIs.io API and to AI agents over MCP.