Training
Providers using this tag (100)
Ranked by API Evangelist rating — Exemplar and Strong are expanded by default.
Exemplar 2 Complete, well-documented, and agent-ready
Strong 6 Solid coverage with minor gaps
Developing 14 Usable, with meaningful gaps to close
Thin 17 Limited public surface area
Emerging 27 Early or largely undocumented
Minimal 34 Almost no public developer surface
APIs with this tag (43)
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 3 Complete, well-documented, and agent-ready
Strong 3 Solid coverage with minor gaps
Developing 21 Usable, with meaningful gaps to close
Thin 10 Limited public surface area
Emerging 6 Early or largely undocumented
Companies reaching this through an API (35)
These companies publish an API, specification or operation carrying “Training” 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 94 providers in the APIs.io catalog tagged Training, 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 | 34.2 | 26.5 | +7.7 | 94 |
| Operational Transparency | 15.7 | 13.7 | +2 | 94 |
| Developer Ergonomics | 23.8 | 23.2 | +0.6 | 94 |
| Contract Governance | 6.5 | 6.3 | +0.2 | 94 |
| Discoverability | 57.7 | 58.1 | -0.4 | 94 |
| Contract Quality | 17.1 | 17.6 | -0.5 | 94 |
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) | 5% | 12% | -7 |
| Agent Skills | 0% | 0% | 0 |
| OAuth scopes | 16% | 11% | +5 |
| Security | 100% | 98% | +2 |
| Arazzo workflows | 2% | 2% | 0 |
| Governance rules | 10% | 14% | -4 |
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 Showpad 68.8
- 2 Amazon SageMaker 67.3
- 3 Exec 65.2
- 4 WorkRamp 62.8
- 5 360Learning 62.6
- 6 Bigtincan 56.6
- 7 MedTrainer 55.9
- 8 Prime Intellect 55
- 9 Google Cloud AutoML 53.4
- 10 Drillster 52.4
- 1 Showpad 48.2
- 2 Goethena 44.8
- 3 MedTrainer 43.7
- 4 Ethena 40.8
- 5 Exec 40.2
- 6 Skilljar 39
- 7 Cybrary 37.3
- 8 Adobe Captivate 36.7
- 9 Prime Intellect 33.7
- 10 Drillster 33.5
Work with this as data
Every tag here is available over the APIs.io API and to AI agents over MCP.