How to connect AI Agent and Google Cloud BigQuery (REST)
Create a New Scenario to Connect AI Agent and Google Cloud BigQuery (REST)
In the workspace, click the “Create New Scenario” button.

Add the First Step
Add the first node – a trigger that will initiate the scenario when it receives the required event. Triggers can be scheduled, called by a AI Agent, triggered by another scenario, or executed manually (for testing purposes). In most cases, AI Agent or Google Cloud BigQuery (REST) will be your first step. To do this, click "Choose an app," find AI Agent or Google Cloud BigQuery (REST), and select the appropriate trigger to start the scenario.

Add the AI Agent Node
Select the AI Agent node from the app selection panel on the right.

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Configure the AI Agent
Click on the AI Agent node to configure it. You can modify the AI Agent URL and choose between DEV and PROD versions. You can also copy it for use in further automations.
Add the Google Cloud BigQuery (REST) Node
Next, click the plus (+) icon on the AI Agent node, select Google Cloud BigQuery (REST) from the list of available apps, and choose the action you need from the list of nodes within Google Cloud BigQuery (REST).

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Authenticate Google Cloud BigQuery (REST)
Now, click the Google Cloud BigQuery (REST) node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Google Cloud BigQuery (REST) settings. Authentication allows you to use Google Cloud BigQuery (REST) through Latenode.
Configure the AI Agent and Google Cloud BigQuery (REST) Nodes
Next, configure the nodes by filling in the required parameters according to your logic. Fields marked with a red asterisk (*) are mandatory.
Set Up the AI Agent and Google Cloud BigQuery (REST) Integration
Use various Latenode nodes to transform data and enhance your integration:
- Branching: Create multiple branches within the scenario to handle complex logic.
- Merging: Combine different node branches into one, passing data through it.
- Plug n Play Nodes: Use nodes that don’t require account credentials.
- Ask AI: Use the GPT-powered option to add AI capabilities to any node.
- Wait: Set waiting times, either for intervals or until specific dates.
- Sub-scenarios (Nodules): Create sub-scenarios that are encapsulated in a single node.
- Iteration: Process arrays of data when needed.
- Code: Write custom code or ask our AI assistant to do it for you.

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Save and Activate the Scenario
After configuring AI Agent, Google Cloud BigQuery (REST), and any additional nodes, don’t forget to save the scenario and click "Deploy." Activating the scenario ensures it will run automatically whenever the trigger node receives input or a condition is met. By default, all newly created scenarios are deactivated.
Test the Scenario
Run the scenario by clicking “Run once” and triggering an event to check if the AI Agent and Google Cloud BigQuery (REST) integration works as expected. Depending on your setup, data should flow between AI Agent and Google Cloud BigQuery (REST) (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.
Most powerful ways to connect AI Agent and Google Cloud BigQuery (REST)
Google Cloud BigQuery (REST) + AI Agent + Slack: Monitors BigQuery data for anomalies using an AI Agent, then alerts the team in a designated Slack channel if any are detected.
Google Cloud BigQuery (REST) + AI Agent + Google Sheets: Uses an AI Agent to summarize data retrieved from Google Cloud BigQuery, storing the summarized data in a new row in a Google Sheet.
AI Agent and Google Cloud BigQuery (REST) integration alternatives
About AI Agent
Use AI Agent in Latenode to automate content creation, data analysis, or customer support. Configure agents with prompts, then integrate them into workflows. Unlike standalone solutions, Latenode lets you connect AI to any app, scale automatically, and customize with code where needed.
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About Google Cloud BigQuery (REST)
Automate BigQuery data workflows in Latenode. Query and analyze massive datasets directly within your automation scenarios, bypassing manual SQL. Schedule queries, transform results with JavaScript, and pipe data to other apps. Scale your data processing without complex coding or expensive per-operation fees. Perfect for reporting, analytics, and data warehousing automation.
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See how Latenode works
FAQ AI Agent and Google Cloud BigQuery (REST)
How can I connect my AI Agent account to Google Cloud BigQuery (REST) using Latenode?
To connect your AI Agent account to Google Cloud BigQuery (REST) on Latenode, follow these steps:
- Sign in to your Latenode account.
- Navigate to the integrations section.
- Select AI Agent and click on "Connect".
- Authenticate your AI Agent and Google Cloud BigQuery (REST) accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I analyze AI Agent responses in BigQuery?
Yes, you can! Latenode allows seamless data transfer, letting you leverage BigQuery's analytics on AI Agent outputs. Unlock insights without complex coding, scaling your analysis efforts.
What types of tasks can I perform by integrating AI Agent with Google Cloud BigQuery (REST)?
Integrating AI Agent with Google Cloud BigQuery (REST) allows you to perform various tasks, including:
- Storing AI Agent conversation logs directly into BigQuery datasets.
- Analyzing sentiment of AI Agent responses for improved performance.
- Using AI Agent to generate SQL queries for BigQuery data exploration.
- Triggering AI workflows based on insights from BigQuery data analysis.
- Automatically updating BigQuery tables with data enriched by AI Agent.
How do I handle errors in my AI Agent Latenode workflow?
Latenode offers robust error handling. Implement try/catch blocks to manage AI Agent failures, ensuring smooth workflow execution and reliable data.
Are there any limitations to the AI Agent and Google Cloud BigQuery (REST) integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Data transfer limits depend on your Google Cloud BigQuery (REST) plan.
- AI Agent’s processing time can affect workflow execution speed.
- Complex SQL queries generated by AI Agent may require manual review.