Elasticsearch

Databases

Neotask automatiserar dina Elasticsearch-operationer genom OpenClaw — hantera index, sökfrågor och kluster genom konversation.

Kör sökfrågor, aggregeringar och analyser genom konversation istället för Kibana
Hantera index, mappningar och klusterinställningar med naturligt språk
Övervaka klusterhälsa, prestanda och lagring automatiskt

Vad du kan göra

The Elasticsearch integration gives Neotask 5 search and analytics actions.

`list_indices` — enumerate all indices in your Elasticsearch cluster with document counts and health status

`get_mappings` — retrieve the field mappings and data types for a specific index

`search` — execute a full Elasticsearch query against any index with filtering, aggregation, and sorting

`esql` — run ES|QL queries for advanced analytical operations with tabular results

`get_shards` — check shard allocation and health across your cluster

Varje åtgärd körs autonomt eller kräver ditt godkännande — du bestämmer.

"List all indices in our Elasticsearch cluster — how many documents are in each?"

"Search the application logs index for error events from the last hour grouped by service"

"What are the field mappings for our customer_events index?"

"Run an ES|QL query to find the top 10 slowest API endpoints by average response time this week"

"Check shard health across our cluster — are there any unassigned shards?"

Schedule operational health checks: your agent queries cluster status, flags index issues, and delivers a daily infrastructure report

Use `esql` for business reporting queries — its tabular output format integrates cleanly with your reporting and notification tools

Pair Elasticsearch with your alerting integration so anomaly queries run continuously and trigger notifications when thresholds are crossed

Use `get_mappings` before writing complex queries — your agent maps the field structure to avoid type mismatches and query failures