Data Science
Providers using this tag (85)
Ranked by API Evangelist rating — Exemplar and Strong are expanded by default.
Developing 18 Usable, with meaningful gaps to close
Thin 19 Limited public surface area
Emerging 21 Early or largely undocumented
Minimal 21 Almost no public developer surface
Unrated 2 Not yet scored
APIs with this tag (13)
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 1 Complete, well-documented, and agent-ready
Strong 2 Solid coverage with minor gaps
Developing 4 Usable, with meaningful gaps to close
Thin 3 Limited public surface area
Emerging 2 Early or largely undocumented
Minimal 1 Almost no public developer surface
Companies reaching this through an API (9)
These companies publish an API, specification or operation carrying “Data Science” 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 78 providers in the APIs.io catalog tagged Data Science, 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 | 34.2 | 23.2 | +11 | 78 |
| Operational Transparency | 17.5 | 13.7 | +3.8 | 78 |
| Contract Quality | 19.9 | 17.6 | +2.3 | 78 |
| Access Clarity | 28.2 | 26.5 | +1.7 | 78 |
| Discoverability | 59.7 | 58.1 | +1.6 | 78 |
| Contract Governance | 7.4 | 6.3 | +1.1 | 78 |
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% | 14% | +6 |
| MCP server (first-party) | 19% | 12% | +7 |
| Agent Skills | 0% | 0% | 0 |
| OAuth scopes | 15% | 11% | +4 |
| Security | 96% | 98% | -2 |
| Arazzo workflows | 1% | 2% | -1 |
| Governance rules | 18% | 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 Posit 63.3
- 2 H2O.ai 56.3
- 3 JetBrains 55
- 4 Hex 54.9
- 5 Anaconda 53.9
- 6 Dataiku 53.3
- 7 Quadrillion 52.5
- 8 Ledger Investing 50.3
- 9 Numerai 49.3
- 10 Nixtla 48.9
- 1 Prior Labs 53.8
- 2 Hex 53.3
- 3 Deepnote 44.6
- 4 H2O.ai 44.4
- 5 Anaconda 39.2
- 6 Probabl 34.5
- 7 Nixtla 32.4
- 8 Hilbert's AI 31.3
- 9 DataRobot 29.7
- 10 Alteryx 28.4
Work with this as data
Every tag here is available over the APIs.io API and to AI agents over MCP.