Google BigQuery for your voice agent

Google BigQuery is a fully managed cloud data warehouse for fast SQL analytics on massive datasets. It's designed to help you analyze big data with ease, speed, and built-in machine learning.

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The app's Connected apps page: what agents do with each app, such as booking appointments, knowing who is calling and sending emails, and whether each one is working.The app's Connected apps page: what agents do with each app, such as booking appointments, knowing who is calling and sending emails, and whether each one is working.The app's Connected apps page: what agents do with each app, such as booking appointments, knowing who is calling and sending emails, and whether each one is working.The app's Connected apps page: what agents do with each app, such as booking appointments, knowing who is calling and sending emails, and whether each one is working.

Integration record

Status
Available
Plan
Every plan, from Starter at A$49 a month
How it connects
One click. You sign in to Google BigQuery from Connected apps and approve access. There's no API key to paste.
What it reads
33 actions, such as get BigQuery ML Model, get BigQuery Connection IAM Policy and get BigQuery Dataset Metadata.
What it changes
29 actions, such as create Capacity Commitment, create BigQuery Connection and create Analytics Hub Data Exchange.
What starts an action
The agent runs an action during a call or chat when the conversation needs it. It only runs the actions you switch on.
Custom work
You choose each action from its list of 63. Anything the list doesn't cover needs a custom API tool on Scale, or a Concierge build.
Checked
Action list checked 14 November 2026. We haven't tested each action.

Google BigQuery actions

Reads 33

  • Get BigQuery ML Model
  • Get BigQuery Connection IAM Policy
  • Get BigQuery Dataset Metadata
  • Get BigQuery Job
  • Get BigQuery Query Results
  • Get BigQuery Routine
  • Get BigQuery Routine IAM Policy
  • Get BigQuery Service Account
  • Get BigQuery Table IAM Policy
  • Get BigQuery Table Schema
  • List Analytics Hub Listings
  • List BigQuery Connections
  • List BigQuery Capacity Commitments
  • List Data Exchange Listings
  • List BigQuery Datasets
  • List BigQuery Jobs
  • List BigQuery Data Transfer Locations
  • List Connections in Location
  • List BigQuery Location Data Policies
  • List BigQuery Models
  • List Organization Data Exchanges
  • List BigQuery Projects
  • List Analytics Hub Query Templates
  • List BigQuery Reservation Assignments
9 more
  • List BigQuery Reservation Groups
  • List BigQuery Reservations
  • List BigQuery Routines
  • List BigQuery Row Access Policies
  • List BigQuery Table Data
  • List BigQuery Tables
  • Query
  • Search All BigQuery Reservation Assignments
  • Test BigQuery Routine IAM Permissions

Changes 23

  • Create Capacity Commitment
  • Create BigQuery Connection
  • Create Analytics Hub Data Exchange
  • Create Analytics Hub Listing
  • Create BigQuery Dataset
  • Create BigQuery Data Policy (v2beta1)
  • Create Analytics Hub Query Template
  • Create BigQuery Reservation
  • Create BigQuery Reservation Assignment
  • Create BigQuery Routine
  • Create BigQuery Table
  • Insert Data into BigQuery Table
  • Insert BigQuery Job
  • Insert BigQuery Job with Upload
  • Patch BigQuery Dataset
  • Patch BigQuery ML Model
  • Patch BigQuery Table
  • Set BigQuery Routine IAM Policy
  • Undelete BigQuery Dataset
  • Update BigQuery Connection
  • Update BigQuery Dataset
  • Update BigQuery Routine
  • Update BigQuery Table

Deletes 6

  • Cancel BigQuery Job
  • Delete BigQuery Dataset
  • Delete BigQuery Job Metadata
  • Delete BigQuery ML Model
  • Delete BigQuery Routine
  • Delete BigQuery Table

Google BigQuery setup

  1. Signing in to Google BigQuery

    Choose Google BigQuery in Connected apps and approve its consent screen. Your tokens stay with our connection broker and never reach the agent.

  2. Choosing the actions

    Choose which of the 63 actions the agent may use. Start with lookups and add the ones that change Google BigQuery when you're ready.

  3. Testing, then publishing

    Watch the agent use the live app in the browser tester, then publish. Voice and text agents share the connection.

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