Elastic Stack

Elastic Stack (ELK Stack) ml trained model API

The ml trained model API from Elastic Stack (ELK Stack) — 12 operation(s) for ml trained model.

GitHub OpenAPI
Business capability
Artificial Intelligence Management BC-610.60

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 #

Documentation

📖
Documentation
https://www.elastic.co/docs/reference/elasticsearch
📖
APIReference
https://www.elastic.co/docs/api/doc/elasticsearch/
📖
Documentation
https://www.elastic.co/docs/reference/kibana
📖
APIReference
https://www.elastic.co/docs/api/doc/kibana/

Specifications

⚙
OpenAPI
https://raw.githubusercontent.com/api-evangelist/elk-stack/refs/heads/main/openapi/elk-stack-ml-trained-model-api-openapi.yml

Other Resources

🔗
SourceCode
https://github.com/elastic/elasticsearch-specification
🔗
SourceCode
https://github.com/elastic/kibana
🔗
ToolCrosswalk
https://raw.githubusercontent.com/api-evangelist/elk-stack/refs/heads/main/mcp/elk-stack-tool-crosswalk.yml

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/elk-stack-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

elk-stack-ml-trained-model-api-openapi.yml Raw ↑ 
openapi: 3.2.0
info:
  title: Elasticsearch Request & Response Specification ml trained…
  license:
    name: Apache 2.0
    url: https://github.com/elastic/elasticsearch-specification/blob/main/LICENSE
  version: ''
tags:


# --- truncated at 32 KB (418 KB total) ---
# Full source: https://raw.githubusercontent.com/api-evangelist/elk-stack/refs/heads/main/openapi/elk-stack-ml-trained-model-api-openapi.yml