AI Infrastructure
Providers using this tag (94)
Ranked by API Evangelist rating — Exemplar and Strong are expanded by default.
Exemplar 1 Complete, well-documented, and agent-ready
Developing 12 Usable, with meaningful gaps to close
Thin 10 Limited public surface area
Emerging 18 Early or largely undocumented
Minimal 46 Almost no public developer surface
APIs with this tag (2)
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 →
Strong 1 Solid coverage with minor gaps
Emerging 1 Early or largely undocumented
Companies reaching this through an API (1)
These companies publish an API, specification or operation carrying “AI Infrastructure” 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 85 providers in the APIs.io catalog tagged AI Infrastructure, 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 | 27.1 | 23.2 | +3.9 | 85 |
| Discoverability | 58.8 | 58.1 | +0.7 | 85 |
| Operational Transparency | 13.7 | 13.7 | 0 | 85 |
| Contract Governance | 5.5 | 6.3 | -0.8 | 85 |
| Access Clarity | 25 | 26.5 | -1.5 | 85 |
| Contract Quality | 12.1 | 17.6 | -5.5 | 85 |
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) | 13% | 14% | -1 |
| MCP server (first-party) | 13% | 12% | +1 |
| Agent Skills | 0% | 0% | 0 |
| OAuth scopes | 5% | 11% | -6 |
| Security | 98% | 98% | 0 |
| Arazzo workflows | 1% | 2% | -1 |
| Governance rules | 5% | 14% | -9 |
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 Spectro Cloud 66.6
- 2 Modal 64.5
- 3 Koyeb 63.5
- 4 Compresr 61
- 5 Mithril 60.4
- 6 Cerebras Systems 59.1
- 7 Crusoe 56.9
- 8 Speko 50.5
- 9 Unify 49.8
- 10 turbopuffer 48.9
- 1 Speko 60.5
- 2 Seltz 46.9
- 3 Koyeb 39.8
- 4 Compresr 35.6
- 5 Mithril 33.9
- 6 Modal 33.5
- 7 Crusoe 33.4
- 8 Fluence 30.7
- 9 Understudy Labs 28.9
- 10 Spectro Cloud 28.2
Coverage caveat. 78 of 85 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.