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Connect, query, profile, and monitor data sources with an AI copilot.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "data-detective" yet — see the docs or source repo.
Connect to my PostgreSQL database and inspect the orders and payments tables for the last 7 days. Identify nulls, duplicates, and anomaly spikes, then suggest possible causes.
A data quality report listing anomaly types, affected fields, time patterns, and likely causes.
Connect to this data warehouse, analyze column types, missing rates, uniqueness ratios, and table sizes, then create a profiling report suitable for new team members.
A structured profiling report that helps the team quickly understand schemas and data characteristics.
Continuously monitor daily revenue, order count, and refund rate in the sales_summary table. If abnormal fluctuations occur, summarize the magnitude, affected dimensions, and alert me.
Metric monitoring and anomaly alerts with fluctuation summaries, impact scope, and investigation directions.
Explore CSV datasets with summaries, cleaning, correlations, and statistical tests.
Securely connect AI assistants to enterprise data sources in the cloud.
Search, inspect, trace, and read business data assets across internal platforms.
Monitor industrial process data and get anomaly analysis with actionable recommendations.
Connect AI to MySQL for natural-language SQL generation and query execution.
Inspect database schemas, index issues, table bloat, and query plans.