Elastic

Elastic ml trained model API

The machine learning trained models APIs enable you to perform model management operations.

Documentation GitHub OpenAPI

Operations 15

POST /_ml/trained_models/{model_id}/deployment/cache/_clear Clear trained model deployment cache #

GET /_ml/trained_models/{model_id} Get trained model configuration info #

PUT /_ml/trained_models/{model_id} Create a trained model #

DELETE /_ml/trained_models/{model_id} Delete an unreferenced trained model #

PUT /_ml/trained_models/{model_id}/model_aliases/{model_alias} Create or update a trained model alias #

DELETE /_ml/trained_models/{model_id}/model_aliases/{model_alias} Delete a trained model alias #

GET /_ml/trained_models Get trained model configuration info #

GET /_ml/trained_models/{model_id}/_stats Get trained models usage info #

GET /_ml/trained_models/_stats Get trained models usage info #

POST /_ml/trained_models/{model_id}/_infer Evaluate a trained model #

PUT /_ml/trained_models/{model_id}/definition/{part} Create part of a trained model definition #

PUT /_ml/trained_models/{model_id}/vocabulary Create a trained model vocabulary #

POST /_ml/trained_models/{model_id}/deployment/_start Start a trained model deployment #

POST /_ml/trained_models/{model_id}/deployment/_stop Stop a trained model deployment #

POST /_ml/trained_models/{model_id}/deployment/_update Update a trained model deployment #

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.

All 92 tools →

Call it yourself

curl for this page

This API

curl "https://apis.io/api/v1/apis/elastic:elastic-ml-trained-model-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.

GitHub Google LinkedIn

A second provider on the same verified email joins the account you already have.

OpenAPI Specification

openapi: 3.2.0
info:
  title: Elasticsearch ml trained model API
  description: 'Elasticsearch provides REST APIs that are used by the UI components and can be called directly to configure and access Elasticsearch features.

    ## Documentation source and versions

    This documentation is derived from the main branch of the elasticsearch-specification repository. It is provided under license Attribution-NonCommercial-NoDerivatives 4.0 International.

    This documentation contains work-in-progress information for future Elastic Stack releases.'
  license:
    name: Apache 2.0
    url: https://github.com/elastic/elasticsearch-specification/blob/main/LICENSE
  version: ''
security:
- apiKeyAuth: []
- basicAuth: []
- bearerAuth: []
tags:


# --- truncated at 32 KB (456 KB total) ---
# Full source: https://raw.githubusercontent.com/api-evangelist/elastic/refs/heads/main/openapi/elastic-ml-trained-model-api-openapi.yml