ClickHouse

Data & Analytics

Neotask on OpenClaw turns ClickHouse into a conversational analytics engine — querying billions of events, exploring schemas, and surfacing insights without writing SQL manually.

• Analytics questions get answered instantly — your agent translates business questions into ClickHouse queries and returns results without a data engineer in the loop
• Schema exploration happens on demand — your agent lists tables and describes column structures so you always know what data is available before asking questions
• Operational reporting runs on schedule — your agent executes daily analytics queries and delivers formatted results to your team without anyone logging into ClickHouse

What You Can Do

The ClickHouse integration gives Neotask 4 data access actions for table exploration and query execution.

`list_clickhouse_tables` — enumerate all tables in your ClickHouse cluster with database and table names

`describe_clickhouse_table` — get the full column schema, data types, and structure for any table

`query_clickhouse` — execute any read query against your ClickHouse cluster and retrieve results

`get_clickhouse_error_log` — retrieve the ClickHouse system error log for diagnosing query and cluster issues

Every action runs autonomously or requires your approval — you decide.

Try Asking

"What tables are in our analytics ClickHouse cluster? Describe the events table schema"

"How many unique users visited our app in the last 7 days, broken down by country?"

"Show me the top 10 slowest API endpoints by p99 latency from yesterday's request log"

"What was our DAU trend for the last 30 days? Show me the daily breakdown"

"Check the ClickHouse error log — any cluster issues in the last hour?"

Pro Tips

Use `describe_clickhouse_table` before writing complex queries — your agent maps the schema so queries hit the right columns from the start

Schedule daily analytics briefings: your agent runs predefined queries every morning and delivers a business metrics summary to your Slack channel

Combine ClickHouse queries with your reporting tools in a multi-agent workflow — one agent queries data, another formats it, a third distributes the report

Use approval gates on resource-intensive queries in production clusters to prevent accidental load spikes

Works Well With

• linear - Connect ClickHouse and Linear to sync analytics data with project management. Automate issue tracking, reporting, and en...