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Databar

Interact with Databar.ai API for data enrichment and table management

Actions6

Other → Get Account Info

AI-generated

Overview

This node integrates with the Databar.ai API to perform various data enrichment and management tasks. It supports operations such as retrieving account information, running data enrichment tasks (single or bulk), and managing waterfall tasks (list, get details, run). It is useful for automating data enrichment workflows, verifying and enriching contact or company data, and orchestrating complex data processing pipelines using waterfalls.

Use Case Examples

  1. Retrieve current user account information to verify API access and account details.
  2. Run a single data enrichment task by providing parameters either as guided fields or raw JSON, optionally waiting for task completion to get results.
  3. Execute bulk enrichment on multiple records with an array of parameter objects, with optional waiting for completion.
  4. List available waterfalls, get details of a specific waterfall, or run a waterfall task with parameters and selected data providers.

Properties

Name Meaning
Resource The category of operations to perform, such as user account info, enrichment tasks, or waterfall tasks.
Operation The specific action to perform within the selected resource, e.g., get account info, run enrichment, list waterfalls.

Output

JSON

  • * - The JSON response from the Databar.ai API corresponding to the requested operation, such as user account details, enrichment task results, or waterfall task data.

Dependencies

  • Databar.ai API
  • An API key credential for authentication

Troubleshooting

  • Ensure a valid API key credential is configured for authentication; missing or invalid credentials will cause authentication errors.
  • Provide valid IDs for enrichments and waterfalls; invalid or missing IDs will result in errors.
  • When entering parameters as JSON, ensure the JSON is well-formed; invalid JSON will cause parsing errors.
  • If waiting for task completion, network issues or long-running tasks may cause timeouts; adjust poll interval and timeout settings accordingly.
  • Errors from the API are surfaced with messages; review error details to correct input or configuration issues.

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