Python
Pythonpython
Providers using this tag (242)
Ranked by API Evangelist rating — Exemplar and Strong are expanded by default.
Exemplar 2 Complete, well-documented, and agent-ready
Strong 10 Solid coverage with minor gaps
Developing 55 Usable, with meaningful gaps to close
Thin 73 Limited public surface area
Emerging 87 Early or largely undocumented
Minimal 15 Almost no public developer surface
APIs with this tag (211)
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 2 Complete, well-documented, and agent-ready
Strong 7 Solid coverage with minor gaps
Developing 50 Usable, with meaningful gaps to close
Thin 69 Limited public surface area
Emerging 72 Early or largely undocumented
Minimal 11 Almost no public developer surface
Score breakdown
Related tags
Where this tag comes from
Cohort brief
Auto-generatedThe 242 providers in the APIs.io catalog tagged Python, 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 | 31.9 | 17.5 | +14.4 | 242 |
| Operational Transparency | 25.7 | 11.3 | +14.4 | 242 |
| Developer Ergonomics | 29.6 | 17.9 | +11.7 | 242 |
| Discoverability | 66.9 | 60.4 | +6.5 | 242 |
| Access Clarity | 28.2 | 22.3 | +5.9 | 242 |
| Contract Governance | 10.1 | 6.4 | +3.7 | 242 |
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) | 10% | 16% | -6 |
| MCP server (first-party) | 5% | 7% | -2 |
| Agent Skills | 0% | 0% | 0 |
| OAuth scopes | 7% | 9% | -2 |
| Security | 96% | 88% | +8 |
| Arazzo workflows | 4% | 2% | +2 |
| Governance rules | 43% | 13% | +30 |
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 RudderStack 80.2
- 2 Canvas Medical 70.1
- 3 Modal 65.1
- 4 Barndoor 64.7
- 5 Refuel 64.6
- 6 Microsoft Azure Quantum 62.6
- 7 Arcade 60.8
- 8 Google Quantum AI 59.3
- 9 Moov 58.1
- 10 Tower 55.8
- 1 Hugging Face Transformers 53.9
- 2 RudderStack 52
- 3 AgiBot 43.2
- 4 Stigg 42.4
- 5 Refuel 41.8
- 6 Tower 41.6
- 7 Anaconda 41.4
- 8 Canvas Medical 36.7
- 9 PydanticAI 36.3
- 10 Hey API 34.7
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.
Call it yourself
curl for this page
curl "https://apis.io/api/v1/tags/python"
curl "https://apis.io/api/v1/tags?limit=25"
curl "https://apis.io/api/v1/cohorts/tag/python"
curl "https://apis.io/api/v1/cohorts/tag/python/stats" \
-H "X-API-Key: $APIS_IO_KEY"
Discovery needs no key. Ratings and market analysis are Pro.