Deep Learning
Providers using this tag (52)
Ranked by API Evangelist rating — Exemplar and Strong are expanded by default.
Strong 3 Solid coverage with minor gaps
Thin 8 Limited public surface area
Emerging 7 Early or largely undocumented
Minimal 28 Almost no public developer surface
Unrated 3 Not yet scored
APIs with this tag (8)
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 →
Thin 2 Limited public surface area
Emerging 6 Early or largely undocumented
Companies reaching this through an API (4)
These companies publish an API, specification or operation carrying “Deep Learning” 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
Where this tag sits
Related tags
Where this tag comes from
Cohort brief
Auto-generatedThe 45 providers in the APIs.io catalog tagged Deep Learning, scored on the Kin Score. Every figure below is computed from the catalog — nothing here is written.
| Facet | This cohort | Catalog | Difference | Scored |
|---|---|---|---|---|
| Contract Governance | 5.6 | 6.3 | -0.7 | 45 |
| Operational Transparency | 11.7 | 13.7 | -2 | 45 |
| Developer Ergonomics | 20.7 | 23.2 | -2.5 | 45 |
| Discoverability | 54.5 | 58.1 | -3.6 | 45 |
| Contract Quality | 13.1 | 17.6 | -4.5 | 45 |
| Access Clarity | 20 | 26.5 | -6.5 | 45 |
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) | 10% | 12% | -2 |
| Agent Skills | 0% | 0% | 0 |
| OAuth scopes | 4% | 11% | -7 |
| Security | 92% | 98% | -6 |
| Arazzo workflows | 4% | 2% | +2 |
| Governance rules | 17% | 14% | +3 |
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 Paperspace 65.1
- 2 Hugging Face Transformers 60
- 3 Amazon Rekognition 55.7
- 4 DeepL 50
- 5 RTB House 43.8
- 6 BigML 42.7
- 7 Triton Inference Server 37.6
- 8 TensorFlow 36.6
- 9 Activeloop 34.8
- 10 Kubeflow 32.9
- 1 Hugging Face Transformers 49.2
- 2 Amazon Rekognition 34
- 3 Deep Instinct 30.2
- 4 TensorFlow 26.8
- 5 RTB House 26.1
- 6 Triton Inference Server 25.5
- 7 DeepL 23
- 8 Kubeflow 22.9
- 9 Paperspace 22.8
- 10 BigML 19.8
Work with this as data
Every tag here is available over the APIs.io API and to AI agents over MCP.