The BigQuery integration lets your agents and workflows query and write to your Google BigQuery data warehouse using SQL. Auth type: OAuth (via Pipedream Connect)Documentation Index
Fetch the complete documentation index at: https://hyperfx.ai/docs/llms.txt
Use this file to discover all available pages before exploring further.
For how integrations work overall (permissions, authentication, troubleshooting), see the main guide: App Integrations.
Connect BigQuery
- Go to Settings → Apps in Hyper
- Select BigQuery → Connect New
- Authorize access to the Google Cloud project that contains your BigQuery datasets
Common capabilities
- Run SQL queries against any dataset and table you have access to
- Insert rows into existing tables
- Pull data into agents for analysis, reporting, and dashboards
Use in Chat
- In a chat, open the tool selector and enable BigQuery
- Ask your agent to query your warehouse and analyze the results
Use in Agents
InAgents → Settings, add BigQuery to the agent’s toolkits and select the connection. Toggle which actions require approval (e.g., “insert rows”).
Use in Flows
Add a BigQuery action node to query or insert data, and pass the results to downstream nodes (Slack alerts, Google Sheets exports, etc.).Troubleshooting
- Permission denied: ensure the Google account you authorized has access to the dataset and the
BigQuery Data Viewer/BigQuery Userroles as needed - Quota exceeded: BigQuery enforces per-project quotas — check your Google Cloud Console
Available Actions
Hyper agents can run the following actions for this integration. Each action can be individually set to Enabled, Requires Approval, or Disabled in your agent’s toolkit settings. Actions can be set to one of three control states:| State | Behavior |
|---|---|
| Enabled | Agent runs the action automatically |
| Requires Approval | Agent pauses and waits for your confirmation before proceeding |
| Disabled | Action is blocked and cannot be used |
| Action | Description |
|---|---|
| Execute Query | Execute a SQL query in Google BigQuery and return the results. Supports both standard SQL and legacy SQL syntax |
| Insert Rows | Insert rows of data into a Google BigQuery table. Supports batch inserts with error handling |