Physical AI
Providers using this tag (66)
Ranked by API Evangelist rating — Exemplar and Strong are expanded by default.
Strong 2 Solid coverage with minor gaps
Thin 5 Limited public surface area
Emerging 18 Early or largely undocumented
Minimal 39 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 66 providers in the APIs.io catalog tagged Physical AI, scored on the Kin Score. Every figure below is computed from the catalog — nothing here is written.
| Facet | This cohort | Catalog | Difference | Scored |
|---|---|---|---|---|
| Discoverability | 54.6 | 58.1 | -3.5 | 66 |
| Contract Governance | 1.7 | 6.3 | -4.6 | 66 |
| Developer Ergonomics | 16.6 | 23.2 | -6.6 | 66 |
| Operational Transparency | 6.9 | 13.7 | -6.8 | 66 |
| Access Clarity | 16 | 26.5 | -10.5 | 66 |
| Contract Quality | 6.1 | 17.6 | -11.5 | 66 |
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) | 9% | 14% | -5 |
| MCP server (first-party) | 8% | 12% | -4 |
| Agent Skills | 0% | 0% | 0 |
| OAuth scopes | 2% | 11% | -9 |
| Security | 100% | 98% | +2 |
| Arazzo workflows | 2% | 2% | 0 |
| 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 Foxglove Technologies 59.4
- 2 MaintainX 55.7
- 3 Cofactr 45.6
- 4 Dexterity 44.1
- 5 PassiveLogic 36.8
- 6 Ethernovia 36.3
- 7 Vention 31.4
- 8 Niantic 30.3
- 9 Standard Bots 29.7
- 10 Wandelbots 25.9
- 1 Cofactr 38.3
- 2 Ethernovia 37.2
- 3 Foxglove Technologies 35.9
- 4 PassiveLogic 35.1
- 5 MaintainX 30.8
- 6 Dexterity 26.8
- 7 BrightAI 22.1
- 8 Standard Bots 17.1
- 9 ZaiNar 16.5
- 10 Vention 8.6
Coverage caveat. 65 of 66 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.