Waterfall → List
AI-generatedOverview
This node interacts with the Databar.ai API to manage and run data enrichment and waterfall tasks. It supports operations such as listing available waterfalls, retrieving details of a specific waterfall, and running waterfall tasks with parameters. It is useful for automating data enrichment workflows where multiple data providers are tried in sequence until a successful result is obtained. For example, a user can list all waterfalls to choose one, get detailed info about a selected waterfall, or run a waterfall task with specific input parameters and optionally wait for the task to complete and return results.
Use Case Examples
- List all available waterfalls to see options for data enrichment workflows.
- Get detailed information about a specific waterfall by its identifier.
- Run a waterfall task by providing input parameters and selecting which data providers to use, optionally waiting for the task to complete.
Properties
| Name | Meaning |
|---|---|
| Resource | The type of resource to interact with, here it is 'Waterfall' for waterfall-related operations. |
| Operation | The specific action to perform on the selected resource. |
Output
JSON
- `` - Array of waterfall objects or task results returned from the API.
Dependencies
- Databar.ai API
Troubleshooting
- Ensure the API key credential for Databar.ai is correctly configured and has the necessary permissions.
- If the node throws errors about invalid parameters, verify that the waterfall identifier and parameters are correctly set and formatted as JSON if required.
- Timeout errors may occur if the task takes too long; adjust the poll interval and timeout settings in additional options accordingly.
Links
- Databar.ai API Documentation - Official API documentation for Databar.ai, useful for understanding available endpoints and parameters.