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Google BigQuery

Query your warehouse from inside a workflow — run SQL, get rows back as JSON, hand them to an agent.

The BigQuery Reader runs your query against a dataset and returns an array of JSON objects, one per row — so the metrics you already model in the warehouse can drive analysis, narration, and downstream actions without a manual export.

Capabilities

What it does.

Run SQL

Execute a query against any dataset your service account can read.

Rows as JSON

Results come back as an array of JSON objects — one object per row, ready for downstream nodes.

Warehouse-scale data

Lean on the metrics and joins you already model in BigQuery instead of re-deriving them.

Analyze and narrate

Feed rows to a Data Analyzer and LLM to turn warehouse data into plain-English reporting.

Example

Warehouse query to narrated report.

BigQuery: read JSON Path Extractor Data Analyzer LLM: narrate Google Sheets: write

Run the query, extract the fields you care about, reason over them, and write a narrated summary to a sheet.

Setup

Connect in minutes.

01

Authorize

Connect with a service account — scoped to exactly the datasets you allow.

02

Configure

Set the query and dataset your workflows can read.

03

Automate

Use it in any agentic workflow, triggered or scheduled.

Get started

Show us the workflow.
We'll show you the 10x.

Bring the marketing workflow that eats your week. We'll build it live, with your data and your models, in 30 minutes.