Vector Search
Vector SearchVectorSearchvector-search
Providers using this tag (45)
Ranked by API Evangelist rating — Exemplar and Strong are expanded by default.
Strong 6 Solid coverage with minor gaps
Developing 16 Usable, with meaningful gaps to close
Thin 19 Limited public surface area
Emerging 4 Early or largely undocumented
APIs with this tag (21)
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 →
Strong 6 Solid coverage with minor gaps
Developing 7 Usable, with meaningful gaps to close
Thin 7 Limited public surface area
Emerging 1 Early or largely undocumented
Score breakdown
Related tags
Where this tag comes from
Cohort brief
Auto-generatedThe 45 providers in the APIs.io catalog tagged Vector Search, 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 | 46.2 | 17.5 | +28.7 | 45 |
| Developer Ergonomics | 43.4 | 17.9 | +25.5 | 45 |
| Operational Transparency | 31.6 | 11.3 | +20.3 | 45 |
| Access Clarity | 39.3 | 22.3 | +17 | 45 |
| Discoverability | 72.5 | 60.4 | +12.1 | 45 |
| Contract Governance | 13.9 | 6.4 | +7.5 | 45 |
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) | 33% | 16% | +17 |
| MCP server (first-party) | 20% | 7% | +13 |
| Agent Skills | 0% | 0% | 0 |
| OAuth scopes | 11% | 9% | +2 |
| Security | 100% | 88% | +12 |
| Arazzo workflows | 7% | 2% | +5 |
| Governance rules | 36% | 13% | +23 |
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 PingCAP 61.4
- 2 BuiltWith 59.8
- 3 Databricks 59.1
- 4 Timescale 57.2
- 5 Azure Databricks 56.5
- 6 Vectara 56.2
- 7 Airweave 53.7
- 8 ScyllaDB 53.2
- 9 Sanity 52.8
- 10 Pixeltable 51.3
- 1 BuiltWith 45
- 2 Airweave 44
- 3 PingCAP 42.6
- 4 Databricks 40.1
- 5 Kinetica 39.4
- 6 Ondemand 35.8
- 7 OpenMetadata 32.7
- 8 Timescale 31.8
- 9 Aleph Alpha 29.9
- 10 cohere 28.3
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/vector-search"
curl "https://apis.io/api/v1/tags?limit=25"
curl "https://apis.io/api/v1/cohorts/tag/vector-search"
curl "https://apis.io/api/v1/cohorts/tag/vector-search/stats" \
-H "X-API-Key: $APIS_IO_KEY"
Discovery needs no key. Ratings and market analysis are Pro.