Hex
Authentication Type: API Key
Description: Run Hex notebooks programmatically with parameters and check run status.
Runs
Operations for Hex notebook runs.
Run Notebook
Starts a new Hex notebook run with optional input parameters.
Operation Type: Mutation (Write)
Parameters:
- baseUrl
string
(required): The base URL for the Hex API (e.g., https://app.hex.tech/api/v1) - projectId
string
(required): The ID of the Hex project containing the notebook to run - inputParamsJson
string
(nullable): JSON string of input parameters to pass to the notebook. Use null if no parameters needed - updatePublishedResults
boolean
(nullable): Whether to update published results after the run completes. Use null for default behavior - useCachedSqlResults
boolean
(nullable): Whether to use cached SQL results if available. Use null for default behavior
Returns:
- runId
string
: The ID of the created notebook run - status
string
: The initial status of the run - runUrl
string
(nullable): URL to view the run in Hex
Example Usage:
{
"baseUrl": "https://app.hex.tech/api/v1",
"projectId": "01234567-89ab-cdef-0123-456789abcdef",
"inputParamsJson": "{\"start_date\": \"2024-01-01\", \"end_date\": \"2024-01-31\", \"region\": \"US\"}",
"updatePublishedResults": true,
"useCachedSqlResults": false
}
Get Run Status
Checks the status of a Hex notebook run and retrieves results if completed.
Operation Type: Query (Read)
Parameters:
- baseUrl
string
(required): The base URL for the Hex API - runId
string
(required): The ID of the notebook run to check
Returns:
- runId
string
: The ID of the notebook run - status
string
: The current status of the run - result
any
(nullable): The result data if the run completed successfully - error
string
(nullable): Error message if the run failed - progress
number
(nullable): Progress percentage (0-100) if available - startTime
string
(nullable): ISO timestamp when the run started - endTime
string
(nullable): ISO timestamp when the run completed
Example Usage:
{
"baseUrl": "https://app.hex.tech/api/v1",
"runId": "run_01234567-89ab-cdef-0123-456789abcdef"
}
Common Use Cases
Automated Reporting:
- Schedule regular execution of analytical notebooks for daily, weekly, or monthly reports
- Pass dynamic date ranges and filters to generate up-to-date business intelligence
- Update published dashboards with fresh data from automated notebook runs
Data Pipeline Integration:
- Trigger notebook execution as part of larger data processing workflows
- Use cached SQL results for faster execution when underlying data hasn't changed
- Chain multiple notebook runs by checking completion status before proceeding
Parameter-Driven Analysis:
- Run the same notebook with different parameters for A/B testing scenarios
- Generate customized reports for different regions, time periods, or customer segments
- Execute exploratory analysis with varying input parameters for hypothesis testing
Monitoring and Alerting:
- Check run status programmatically to detect failed executions
- Monitor progress of long-running analytical processes
- Set up alerts based on notebook run results or completion status