Embeddings
Embeddingsembeddings
Providers using this tag (97)
Ranked by API Evangelist rating — Exemplar and Strong are expanded by default.
Exemplar 1 Complete, well-documented, and agent-ready
Strong 11 Solid coverage with minor gaps
Developing 43 Usable, with meaningful gaps to close
Thin 37 Limited public surface area
Emerging 5 Early or largely undocumented
APIs with this tag (95)
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 9 Solid coverage with minor gaps
Developing 34 Usable, with meaningful gaps to close
Thin 47 Limited public surface area
Emerging 4 Early or largely undocumented
Score breakdown
Related tags
Where this tag comes from
Cohort brief
Auto-generatedThe 97 providers in the APIs.io catalog tagged Embeddings, 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 | 52 | 17.5 | +34.5 | 97 |
| Developer Ergonomics | 39.8 | 17.9 | +21.9 | 97 |
| Access Clarity | 40.3 | 22.3 | +18 | 97 |
| Operational Transparency | 28.7 | 11.3 | +17.4 | 97 |
| Discoverability | 72 | 60.4 | +11.6 | 97 |
| Contract Governance | 11.1 | 6.4 | +4.7 | 97 |
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) | 29% | 16% | +13 |
| MCP server (first-party) | 8% | 7% | +1 |
| Agent Skills | 0% | 0% | 0 |
| OAuth scopes | 12% | 9% | +3 |
| Security | 100% | 88% | +12 |
| Arazzo workflows | 9% | 2% | +7 |
| 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 NVIDIA NIM 71.2
- 2 OpenAI 64.2
- 3 Vendasta 63.3
- 4 Fastly 60.8
- 5 ChatGPT 59.8
- 6 Databricks 59.1
- 7 Perplexity 56.3
- 8 Vectara 56.2
- 9 Vercel 55.9
- 10 Mixedbread 55.6
- 1 Langdock 42.6
- 2 Databricks 40.1
- 3 Telnyx 38.8
- 4 OpenAI 37.7
- 5 Hugging Face 37.6
- 6 Portkey 36
- 7 Snowflake 35.8
- 8 ChatGPT 34.7
- 9 .txt 34.5
- 10 Vendasta 34.3
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/embeddings"
curl "https://apis.io/api/v1/tags?limit=25"
curl "https://apis.io/api/v1/cohorts/tag/embeddings"
curl "https://apis.io/api/v1/cohorts/tag/embeddings/stats" \
-H "X-API-Key: $APIS_IO_KEY"
Discovery needs no key. Ratings and market analysis are Pro.