Generative AI
Generative AIGenerativeAigenerative aigenerative-ai
Providers using this tag (259)
Ranked by API Evangelist rating — Exemplar and Strong are expanded by default.
Strong 22 Solid coverage with minor gaps
Developing 63 Usable, with meaningful gaps to close
Thin 37 Limited public surface area
Emerging 74 Early or largely undocumented
Minimal 60 Almost no public developer surface
APIs with this tag (64)
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 13 Solid coverage with minor gaps
Developing 22 Usable, with meaningful gaps to close
Thin 13 Limited public surface area
Emerging 10 Early or largely undocumented
Companies reaching this through an API (17)
These companies publish an API, specification or operation carrying “Generative AI” 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 255 providers in the APIs.io catalog tagged Generative AI, 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 | 33 | 23.4 | +9.6 | 255 |
| Access Clarity | 35.1 | 26.5 | +8.6 | 255 |
| Operational Transparency | 18.2 | 14 | +4.2 | 255 |
| Discoverability | 64.6 | 61.2 | +3.4 | 255 |
| Contract Quality | 22.8 | 19.8 | +3 | 255 |
| Contract Governance | 6.4 | 6.4 | 0 | 255 |
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) | 23% | 10% | +13 |
| MCP server (first-party) | 28% | 13% | +15 |
| Agent Skills | 0% | 0% | 0 |
| OAuth scopes | 13% | 11% | +2 |
| Security | 98% | 97% | +1 |
| Arazzo workflows | 5% | 2% | +3 |
| Governance rules | 12% | 14% | -2 |
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 Adobe 78.5
- 2 fal 67.6
- 3 Segmind 67.2
- 4 FLORA 66
- 5 Apigee 62.1
- 6 Lacuna 62.1
- 7 Magic Hour 61.5
- 8 Prezent 61.5
- 9 Seekr 61.3
- 10 Amazon Nova 60.7
- 1 FLORA 62.4
- 2 Prezent 61.7
- 3 Bria 58.9
- 4 Lacuna 57.2
- 5 Jasper 56.7
- 6 Typeface 50
- 7 Amazon Nova 49.5
- 8 Adobe 48.8
- 9 AutoContent API 48
- 10 H2O.ai 44.4
Work with this as data
Every tag here is available over the APIs.io API and to AI agents over MCP.