Datasets
Data SetsData setsDatasetsdatasets
Providers using this tag (49)
Ranked by API Evangelist rating — Exemplar and Strong are expanded by default.
Strong 1 Solid coverage with minor gaps
Developing 18 Usable, with meaningful gaps to close
Thin 12 Limited public surface area
Emerging 7 Early or largely undocumented
Minimal 11 Almost no public developer surface
APIs with this tag (230)
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 9 Complete, well-documented, and agent-ready
Strong 32 Solid coverage with minor gaps
Developing 100 Usable, with meaningful gaps to close
Thin 78 Limited public surface area
Emerging 10 Early or largely undocumented
Minimal 1 Almost no public developer surface
Companies reaching this through an API (185)
These companies publish an API, specification or operation carrying “Datasets” 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 185 companies ↓
Score breakdown
Related tags
Where this tag comes from
Cohort brief
Auto-generatedThe 49 providers in the APIs.io catalog tagged Datasets, scored on the Kin Score. Every figure below is computed from the catalog — nothing here is written.
| Facet | This cohort | Catalog | Difference | Scored |
|---|---|---|---|---|
| Contract Quality | 29.6 | 19.8 | +9.8 | 49 |
| Operational Transparency | 20.8 | 14 | +6.8 | 49 |
| Access Clarity | 33 | 26.5 | +6.5 | 49 |
| Developer Ergonomics | 29.7 | 23.4 | +6.3 | 49 |
| Discoverability | 66.7 | 61.2 | +5.5 | 49 |
| Contract Governance | 7.1 | 6.4 | +0.7 | 49 |
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) | 12% | 10% | +2 |
| MCP server (first-party) | 14% | 13% | +1 |
| Agent Skills | 0% | 0% | 0 |
| OAuth scopes | 8% | 11% | -3 |
| Security | 100% | 97% | +3 |
| Arazzo workflows | 2% | 2% | 0 |
| Governance rules | 20% | 14% | +6 |
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 Roboflow 56
- 2 Sylvia API 54.1
- 3 Mockaroo 52.9
- 4 Oxylabs 52.7
- 5 Dimensions 51.3
- 6 Figshare 51.1
- 7 Zenodo 50.6
- 8 Braintrust 49.7
- 9 Dryad 49.5
- 10 Opendatasoft 48.4
- 1 Sylvia API 55.6
- 2 Roboflow 54
- 3 Superb AI 39.7
- 4 Dimensions 38.9
- 5 LangWatch 36.3
- 6 Braintrust 33.5
- 7 Oxylabs 33.3
- 8 Figshare 33.1
- 9 Dryad 30.6
- 10 Opendatasoft 28.7
Work with this as data
Every tag here is available over the APIs.io API and to AI agents over MCP.