Ai Ml
Providers using this tag (98)
Ranked by API Evangelist rating — Exemplar and Strong are expanded by default.
Developing 21 Usable, with meaningful gaps to close
Thin 9 Limited public surface area
Emerging 32 Early or largely undocumented
Minimal 33 Almost no public developer surface
APIs with this tag (0)
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Score breakdown
Related tags
Where this tag comes from
Cohort brief
Auto-generatedThe 97 providers in the APIs.io catalog tagged Ai Ml, scored on the Kin Score. Every figure below is computed from the catalog — nothing here is written.
| Facet | This cohort | Catalog | Difference | Scored |
|---|---|---|---|---|
| Access Clarity | 32.3 | 26.5 | +5.8 | 97 |
| Developer Ergonomics | 27.1 | 23.2 | +3.9 | 97 |
| Discoverability | 58.5 | 58.1 | +0.4 | 97 |
| Contract Governance | 5.2 | 6.3 | -1.1 | 97 |
| Operational Transparency | 12.6 | 13.7 | -1.1 | 97 |
| Contract Quality | 11.8 | 17.6 | -5.8 | 97 |
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) | 19% | 14% | +5 |
| MCP server (first-party) | 18% | 12% | +6 |
| Agent Skills | 0% | 0% | 0 |
| OAuth scopes | 9% | 11% | -2 |
| Security | 100% | 98% | +2 |
| Arazzo workflows | 4% | 2% | +2 |
| Governance rules | 2% | 14% | -12 |
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 Parallel Web Systems 62.8
- 2 Jasper 59.3
- 3 ArthurAI 58.7
- 4 tessl.io 56.5
- 5 ZenZap 54.1
- 6 Adobe Creative Cloud 53.4
- 7 Sarvam 53
- 8 Prolific 52.8
- 9 Adobe Photoshop 52.6
- 10 Scribe 51.5
- 1 Parallel Web Systems 60.2
- 2 Jasper 56.7
- 3 ArthurAI 41.5
- 4 Adobe Photoshop 39.2
- 5 ZenZap 39
- 6 tessl.io 38.2
- 7 Recurrency 37.6
- 8 Dashbot 35.2
- 9 Alpic 31.8
- 10 Inception 31.5
Coverage caveat. 94 of 97 scored members had under half their catalog-attributable points satisfied at all (catalog_earned / catalog_max < 0.5). They are INCLUDED in the mean above. A large share here means the cohort mean is partly a measurement of how far our enrichment reached, not only of how these providers publish.Generated from the catalog build of 5 October 2026, across 29093 providers, using the same computation served by the APIs.io cohort API. Briefs are published for rosters of 5 or more scored providers; below that a distribution is not meaningful.
Work with this as data
Every tag here is available over the APIs.io API and to AI agents over MCP.