Introduction
The Pipeline Cost Analysis Agent helps teams track and optimize data pipeline spend.
Tools & Integrations
BigQuery – SQL execution and runtime insights
dbt – Models and transformations
Airflow – DAG orchestration and pipeline lineage
DataHub / Redash – Metadata and dashboards
GitHub – Source control & pull request workflow
ACP API – Deployment mechanism for Chicory agents
Problem: Cloud data warehouse queries can be costly. Without attribution, it’s unclear which dbt models or stages drive spend.
Quick Start
Set up BigQuery billing export - Enable detailed cost data export and create the cost history table
Create the Chicory agent - Build and deploy your cost analysis agent with the provided template
Configure Airflow integration - Add the post-hook task to trigger cost analysis after pipeline runs
Run and visualize - Execute your pipeline and view cost analytics in the dashboard
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