Datasets
Data SetsDataset
Providers using this tag (50)
Ranked by API Evangelist rating — Exemplar and Strong are expanded by default.
Strong 1 Solid coverage with minor gaps
Developing 10 Usable, with meaningful gaps to close
Thin 20 Limited public surface area
Emerging 7 Early or largely undocumented
Minimal 12 Almost no public developer surface
APIs with this tag (284)
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 21 Complete, well-documented, and agent-ready
Strong 48 Solid coverage with minor gaps
Developing 87 Usable, with meaningful gaps to close
Thin 95 Limited public surface area
Emerging 31 Early or largely undocumented
Companies reaching this through an API (236)
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 236 companies ↓
Score breakdown
Related tags
Where this tag comes from
Cohort brief
Auto-generatedThe 50 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 | 27.4 | 17.2 | +10.2 | 50 |
| Developer Ergonomics | 29.8 | 23.2 | +6.6 | 50 |
| Discoverability | 62.8 | 57.9 | +4.9 | 50 |
| Access Clarity | 25.8 | 23.9 | +1.9 | 50 |
| Operational Transparency | 14.8 | 13 | +1.8 | 50 |
| Contract Governance | 7.6 | 6.5 | +1.1 | 50 |
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% | 13% | +7 |
| MCP server (first-party) | 18% | 12% | +6 |
| Agent Skills | 0% | 0% | 0 |
| OAuth scopes | 8% | 11% | -3 |
| Security | 100% | 98% | +2 |
| Arazzo workflows | 4% | 2% | +2 |
| Governance rules | 20% | 16% | +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 Roboflow 62.2
- 2 Sylvia API 52.2
- 3 Oxylabs 50.6
- 4 Dimensions 46.5
- 5 Superb AI 45.3
- 6 Braintrust 44.5
- 7 Dryad 43.4
- 8 Oxen 43.1
- 9 Mockaroo 42.9
- 10 TradeDataHub Public API 41.1
- 1 Sylvia API 55.3
- 2 Roboflow 52.8
- 3 Braintrust 52.4
- 4 Superb AI 43.6
- 5 Dimensions 37.6
- 6 liars.town 36.8
- 7 Vellum AI 36
- 8 Opendatasoft 33.2
- 9 Oxylabs 32.5
- 10 TradeDataHub Public API 31.8
Coverage caveat. 40 of 50 scored members had under half their catalog-attributable points satisfied at all (catalog_earned / catalog_max < 0.5). They are INCLUDED in the mean above. A large share here means the cohort mean is partly a measurement of how far our enrichment reached, not only of how these providers publish.Generated from the catalog build of 24 October 2026, across 31984 providers, using the same computation served by the APIs.io cohort API. Briefs are published for rosters of 5 or more scored providers; below that a distribution is not meaningful.
Work with this as data
Every tag here is available over the APIs.io API and to AI agents over MCP.