Sanity Embeddings Index API
The Sanity Embeddings Index API enables creating and managing vector embedding indexes for Content Lake documents, supporting semantic search and AI-powered content retrieval workflows.
Work with this as data
Every API 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 apis
7 MCP tools reach this
find_apisBrowse and filter every API in the catalog.get_api_artifactsOne API's artifacts, grouped by type.get_openapiThe primary OpenAPI for this API.find_similar_apisAPIs that look like this one.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
This API
curl "https://apis.io/api/v1/apis/sanity-embeddings-index-api"
All apis
curl "https://apis.io/api/v1/apis?limit=25"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.
API entry from apis.yml
aid: sanity:sanity-embeddings-index-api
name: Sanity Embeddings Index API
description: The Sanity Embeddings Index API enables creating and managing vector embedding indexes for
Content Lake documents, supporting semantic search and AI-powered content retrieval workflows.
humanURL: https://www.sanity.io/docs/http-reference
tags:
- Embeddings
- Vector Search
- Artificial Intelligence
- Semantic Search
tags_raw:
- Embeddings
- Vector Search
- AI
- Semantic Search
properties:
- type: Documentation
url: https://www.sanity.io/docs/http-reference