Attributes
Attributesattributes
Providers using this tag (47)
Ranked by API Evangelist rating — Exemplar and Strong are expanded by default.
Exemplar 2 Complete, well-documented, and agent-ready
Developing 19 Usable, with meaningful gaps to close
Thin 15 Limited public surface area
APIs with this tag (47)
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 19 Usable, with meaningful gaps to close
Thin 15 Limited public surface area
Emerging 4 Early or largely undocumented
Score breakdown
Related tags
Where this tag comes from
Cohort brief
Auto-generatedThe 47 providers in the APIs.io catalog tagged Attributes, 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 | 54.8 | 17.5 | +37.3 | 47 |
| Developer Ergonomics | 43 | 17.9 | +25.1 | 47 |
| Operational Transparency | 30.2 | 11.3 | +18.9 | 47 |
| Access Clarity | 40.3 | 22.3 | +18 | 47 |
| Contract Governance | 18.9 | 6.4 | +12.5 | 47 |
| Discoverability | 71 | 60.4 | +10.6 | 47 |
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) | 40% | 16% | +24 |
| MCP server (first-party) | 9% | 7% | +2 |
| Agent Skills | 0% | 0% | 0 |
| OAuth scopes | 30% | 9% | +21 |
| Security | 100% | 88% | +12 |
| Arazzo workflows | 11% | 2% | +9 |
| Governance rules | 47% | 13% | +34 |
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 Optimizely 75.1
- 2 Talon.One 72.6
- 3 Swell 65.8
- 4 Factset 64.8
- 5 Avalara 63.6
- 6 MediaValet 62.9
- 7 Apigee 59.5
- 8 mParticle 57.2
- 9 Datadog 57.1
- 10 EPA — U.S. Environmental Protection Agency 53.7
- 1 Factset 52.8
- 2 mParticle 50.5
- 3 Avalara 46.9
- 4 Talon.One 45.2
- 5 Oracle 41.9
- 6 Optimizely 39.4
- 7 Datadog 38.3
- 8 Cube 36.4
- 9 Cube Planning 36.4
- 10 BigCommerce 36
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/attributes"
curl "https://apis.io/api/v1/tags?limit=25"
curl "https://apis.io/api/v1/cohorts/tag/attributes"
curl "https://apis.io/api/v1/cohorts/tag/attributes/stats" \
-H "X-API-Key: $APIS_IO_KEY"
Discovery needs no key. Ratings and market analysis are Pro.