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Automatically investigate dbt test failures and generate clear BigQuery incident reports.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "dbt-investigator" yet — see the docs or source repo.
Investigate the dbt test `not_null_orders_customer_id` failure, trace upstream models and tables through BigQuery lineage, identify the most likely root cause, and return a concise conclusion in English.
A root-cause analysis of the failed test with impacted upstream objects and key evidence.
Based on all failed dbt tests today, summarize the BigQuery lineage impact and generate an incident report for business stakeholders including a summary, scope, likely cause, and recommended next steps.
A plain-English incident report suitable for non-technical stakeholders to read and share.
Analyze how dbt test failures related to `dim_customers` affect downstream reports, and use BigQuery lineage to list impacted datasets, models, and potentially affected business metrics.
A scoped impact list showing which reports and metrics may have data quality issues.
Query and explore BigQuery databases with natural language and schema discovery.
Query databases in natural language with automatic schema discovery and SQL generation.
Analyze AI agent traces to diagnose failures and recommend actionable improvements.
Investigate failing GitHub integration tests and suggest likely fixes
Query, analyze, and compare Google BigQuery data using natural language.
Search, inspect, and safely trigger dbt Cloud jobs through Claude.