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Get the health status and key metrics of the Elasticsearch cluster including node count, shard allocation status, and pending tasks. Optionally include node-level statistics.
List all indices in the Elasticsearch cluster with their health status, document count, and storage size. Can also retrieve detailed information about a specific index including its mappings, settings, and aliases.
Retrieve one or more documents by ID from an Elasticsearch index. Supports fetching a single document or multiple documents across indices using multi-get.
Perform multiple index, create, update, or delete operations in a single API call. Much more efficient than individual requests when processing many documents.
Create or replace a document in an Elasticsearch index. Provide JSON document content and optionally specify a document ID. If no ID is provided, Elasticsearch will auto-generate one. If an ID is provided and a document already exists with that ID, it will be replaced.
Partially update an existing document in an Elasticsearch index. Supports partial document updates (merge fields) or script-based updates for more complex modifications. Unlike indexing, this only modifies specified fields without replacing the entire document.
Create, configure, open, close, or delete an Elasticsearch index. Supports setting mappings, settings, aliases, and number of replicas/shards during creation. Can also update mappings and settings on existing indices.
Search and query documents in Elasticsearch using the full Query DSL. Supports full-text search, term-level queries, compound queries, aggregations, sorting, pagination, and source filtering. Can target a specific index or search across all indices.
Create, update, delete, execute, activate, or deactivate Watcher alerts. Watches monitor data changes by running scheduled queries and triggering actions (email, webhook, index, logging) when conditions are met.
Create, delete, or list index aliases. Aliases provide alternative names for indices or groups of indices, enabling seamless index switching and multi-index queries.
Discover relationships between terms in an Elasticsearch index. The graph explore API extracts and summarizes connections in your data, helping identify significant co-occurrences and related terms.
Execute an ES|QL query to filter, transform, and analyze data stored in Elasticsearch. ES|QL provides a pipe-based query language for powerful data exploration and manipulation.
Create, restore, delete, or retrieve snapshots and snapshot repositories for cluster backups. Snapshots allow you to back up indices and cluster state for disaster recovery.
Copy documents from one index to another, optionally applying a query filter or transformations via a script. Useful for migrating data between indices, changing mappings, or applying pipeline processing to existing data.
Execute a machine learning inference task using a configured inference endpoint. Supports text embedding, sparse embedding, reranking, completion, and chat completion tasks. Can also list or manage inference endpoints.
Manage Elasticsearch security resources including users, roles, and API keys. Create, update, delete, and list users and roles for role-based access control. Create and invalidate API keys.
Remove a document from an Elasticsearch index by its ID. Returns the result of the deletion operation.
Create, update, delete, list, or simulate ingest pipelines. Pipelines consist of processors that transform and enrich documents before they are indexed. Use simulate to test a pipeline against sample documents.