Compute
Computecompute
Providers using this tag (83)
Ranked by API Evangelist rating — Exemplar and Strong are expanded by default.
Exemplar 2 Complete, well-documented, and agent-ready
Strong 11 Solid coverage with minor gaps
Developing 31 Usable, with meaningful gaps to close
Thin 19 Limited public surface area
Emerging 7 Early or largely undocumented
Minimal 12 Almost no public developer surface
Unrated 1 Not yet scored
APIs with this tag (58)
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 4 Complete, well-documented, and agent-ready
Strong 14 Solid coverage with minor gaps
Developing 16 Usable, with meaningful gaps to close
Thin 14 Limited public surface area
Emerging 9 Early or largely undocumented
Companies reaching this through an API (37)
These companies publish an API, specification or operation carrying “Compute” 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 79 providers in the APIs.io catalog tagged Compute, 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 | 45.7 | 23.4 | +22.3 | 79 |
| Contract Quality | 40.6 | 19.8 | +20.8 | 79 |
| Access Clarity | 42.2 | 26.5 | +15.7 | 79 |
| Operational Transparency | 24.8 | 13.9 | +10.9 | 79 |
| Discoverability | 66.7 | 61.2 | +5.5 | 79 |
| Contract Governance | 9.3 | 6.4 | +2.9 | 79 |
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% | 10% | +3 |
| MCP server (first-party) | 14% | 13% | +1 |
| Agent Skills | 0% | 0% | 0 |
| OAuth scopes | 11% | 11% | 0 |
| Security | 99% | 96% | +3 |
| Arazzo workflows | 10% | 2% | +8 |
| Governance rules | 28% | 14% | +14 |
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 Oracle Cloud Infrastructure 71.1
- 2 Microsoft Azure Functions 68.6
- 3 NexGen Cloud 64.3
- 4 Koyeb 64.2
- 5 Amazon EC2 62.8
- 6 Amazon Lambda 61.8
- 7 Paperspace 61
- 8 Amazon EC2 Auto Scaling 60.1
- 9 Hyperbolic 59.4
- 10 TensorDock 56.7
- 1 The San Francisco Compute Company 53.4
- 2 NexGen Cloud 47.2
- 3 Oracle Cloud Infrastructure 42.5
- 4 Dedalus Labs 40.7
- 5 Koyeb 39.8
- 6 Digital Ocean 36
- 7 Mithril 33.9
- 8 Cisco Intersight 33.6
- 9 Amazon EC2 Auto Scaling 32.3
- 10 Vast.ai 32.3
Work with this as data
Every tag here is available over the APIs.io API and to AI agents over MCP.