emerging · 0.0 capability schema

Data Science

Score 21.5 / 100 84 providers +10 via APIs 14 APIs Search apis.io →

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
Unrated 2 Not yet scored

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.

Apache Spark IBM LF AI and Data Maastricht University Oracle Oracle Platforms Python Standard Library and Popular RunBuggy Tableau University of Waikato

Score breakdown

Frequency
54.5
log-scaled weighted occurrences
Breadth
2.3
spread across providers
Quality lift
28.9
mean composite of providers using it
Cohesion
9.9
strength of nearest seed neighbor

Related tags

Notebooks 11 co-occurrences MLOps 16 co-occurrences Python 27 co-occurrences Predictive Analytics 11 co-occurrences Jupyter 6 co-occurrences Cloud Computing 8 co-occurrences Scientific Computing 6 co-occurrences Kernel 5 co-occurrences

Where this tag comes from

Provider tag84
Api tag14

Cohort brief

Auto-generated

The 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.

Providers
77
all scored
Mean Kin Score
26.9
+3.0 vs catalog 23.9
Mean Agent Readiness
11.9
-0.1 vs catalog 12
Spread
2.3–53.6
median 27.9 · σ 15
How the 77 split by band
Exemplar 0Strong 0Developing 21Thin 19Emerging 23Minimal 14
Facet averages, against the whole catalog
FacetThis cohortCatalogDifferenceScored
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.

What this cohort publishes
ArtifactThis cohortCatalogDifference
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.

Top by Kin Score
  1. 1 Ledger Investing 53.6
  2. 2 Anaconda 51.8
  3. 3 H2O.ai 50.9
  4. 4 Hex 50.9
  5. 5 Posit 50.3
  6. 6 Nixtla 49.6
  7. 7 Anomaly Detection 47.7
  8. 8 Quadrillion 47.6
  9. 9 Akkio 47.5
  10. 10 Numerai 47
Top by Agent Readiness
  1. 1 H2O.ai 44.4
  2. 2 Anaconda 39.2
  3. 3 Prior Labs 37.6
  4. 4 Hex 37.2
  5. 5 Probabl 36.9
  6. 6 Hilbert's AI 33.5
  7. 7 Nixtla 32.4
  8. 8 Alteryx 28.4
  9. 9 Deepnote 28.4
  10. 10 Numerai 26.1
All 84 members of this roster resolve to a scored provider in the catalog.Generated from the catalog build of 15 September 2026, across 27661 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.

MCP server

One button, every client — Claude, Cursor, VS Code and the rest.

https://apis.io/mcp

Tools for tags

7 MCP tools reach this
  • find_tagsBrowse and filter every tag in the catalog.
  • get_cohortThis tag as a scored cohort — every provider carrying it, with scores.
  • cohort_statsPRO — the distribution across this tag: mean, median, band split, adoption rates.
  • cohort_rankingsPRO — the leaderboard, on composite AND agent-readiness axes.
  • apis_io_searchSTART HERE — APIs, providers and tags for one query, each with its total.
  • resolveTurn a domain, URL or GitHub org into the provider it belongs to.
  • find_cohortsEvery scored population of providers in the catalog.
All 92 tools →

Call it yourself

curl for this page
This tag
curl "https://apis.io/api/v1/tags/data-science"
All tags
curl "https://apis.io/api/v1/tags?limit=25"
As a scored cohort
curl "https://apis.io/api/v1/cohorts/tag/data-science"
The distribution (Pro)
curl "https://apis.io/api/v1/cohorts/tag/data-science/stats" \
  -H "X-API-Key: $APIS_IO_KEY"

Discovery needs no key. Ratings and market analysis are Pro.

Get an API key

Free tier, no form to fill in. Signing in shares your email address with us — we store it to create your key and to recognise you if you sign in with another provider. See our Privacy Policy and Terms.

A second provider on the same verified email joins the account you already have.