Data Science
Providers using this tag (84)
Ranked by API Evangelist rating — Exemplar and Strong are expanded by default.
Developing 21 Usable, with meaningful gaps to close
Thin 19 Limited public surface area
Emerging 23 Early or largely undocumented
Minimal 19 Almost no public developer surface
APIs with this tag (14)
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 3 Solid coverage with minor gaps
Developing 4 Usable, with meaningful gaps to close
Thin 3 Limited public surface area
Emerging 3 Early or largely undocumented
Companies reaching this through an API (10)
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 77 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 | 33.9 | 23.4 | +10.5 | 77 |
| Operational Transparency | 17 | 14 | +3 | 77 |
| Contract Quality | 21.1 | 19.8 | +1.3 | 77 |
| Discoverability | 61.9 | 61.2 | +0.7 | 77 |
| Contract Governance | 6.2 | 6.4 | -0.2 | 77 |
| Access Clarity | 25.6 | 26.5 | -0.9 | 77 |
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) | 16% | 10% | +6 |
| MCP server (first-party) | 18% | 13% | +5 |
| Agent Skills | 0% | 0% | 0 |
| OAuth scopes | 15% | 11% | +4 |
| Security | 96% | 97% | -1 |
| Arazzo workflows | 1% | 2% | -1 |
| Governance rules | 14% | 14% | 0 |
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 Ledger Investing 53.6
- 2 Anaconda 51.8
- 3 H2O.ai 50.9
- 4 Hex 50.9
- 5 Posit 50.3
- 6 Nixtla 49.6
- 7 Anomaly Detection 47.7
- 8 Quadrillion 47.6
- 9 Akkio 47.5
- 10 Numerai 47
- 1 H2O.ai 44.4
- 2 Anaconda 39.2
- 3 Prior Labs 37.6
- 4 Hex 37.2
- 5 Probabl 36.9
- 6 Hilbert's AI 33.5
- 7 Nixtla 32.4
- 8 Alteryx 28.4
- 9 Deepnote 28.4
- 10 Numerai 26.1
Work with this as data
Every tag here is available over the APIs.io API and to AI agents over MCP.