LLM
LLMLlmllm
Providers using this tag (259)
Ranked by API Evangelist rating — Exemplar and Strong are expanded by default.
Exemplar 5 Complete, well-documented, and agent-ready
Strong 19 Solid coverage with minor gaps
Developing 85 Usable, with meaningful gaps to close
Thin 91 Limited public surface area
Emerging 33 Early or largely undocumented
Minimal 26 Almost no public developer surface
APIs with this tag (125)
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 7 Complete, well-documented, and agent-ready
Strong 14 Solid coverage with minor gaps
Developing 43 Usable, with meaningful gaps to close
Thin 42 Limited public surface area
Emerging 18 Early or largely undocumented
Minimal 1 Almost no public developer surface
Companies reaching this through an API (59)
These companies publish an API, specification or operation carrying “LLM” 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.
Show all 59 companies ↓
Score breakdown
Related tags
Where this tag comes from
Cohort brief
Auto-generatedThe 254 providers in the APIs.io catalog tagged LLM, 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 | 41.9 | 23.4 | +18.5 | 254 |
| Contract Quality | 38.1 | 19.8 | +18.3 | 254 |
| Operational Transparency | 25.6 | 14 | +11.6 | 254 |
| Access Clarity | 35.7 | 26.5 | +9.2 | 254 |
| Discoverability | 68.5 | 61.2 | +7.3 | 254 |
| Contract Governance | 7.8 | 6.4 | +1.4 | 254 |
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) | 20% | 10% | +10 |
| MCP server (first-party) | 25% | 13% | +12 |
| Agent Skills | 0% | 0% | 0 |
| OAuth scopes | 6% | 11% | -5 |
| Security | 98% | 97% | +1 |
| Arazzo workflows | 4% | 2% | +2 |
| Governance rules | 24% | 14% | +10 |
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 Arcade 75.7
- 2 Vapi 73.6
- 3 Dust 73
- 4 AlphaAI 70.6
- 5 NVIDIA NIM 68.3
- 6 S&P Global 65.7
- 7 AIMLAPI 65.5
- 8 Compresr 62.8
- 9 Refuel 62
- 10 Seekr 61.3
- 1 AlphaAI 68.5
- 2 S&P Global 63.7
- 3 Exa 57.1
- 4 AIMLAPI 55.1
- 5 Fastino Labs 52
- 6 Kensho 51.1
- 7 Yutori 50
- 8 Gumloop 47.3
- 9 Eden AI 44.6
- 10 Speko 44.4
Work with this as data
Every tag here is available over the APIs.io API and to AI agents over MCP.