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Overview

This node integrates with the Tallyfy workflow automation platform to manage users and other resources. Specifically, the User - Get operation retrieves detailed information about a specific user within an organization by their User ID. This is useful for scenarios where you need to fetch user details such as profile information or status in automated workflows.

Practical examples include:

  • Fetching user details to verify permissions before assigning tasks.
  • Retrieving user information to display or log in audit trails.
  • Integrating user data into other systems or notifications.

Properties

Name Meaning
User ID The unique identifier of the user to retrieve. Required for this operation.

Output

The output is a JSON object representing the user data returned from the Tallyfy API. It typically includes fields such as user ID, name, email, role, status, and other profile-related information depending on the API response.

The node does not output binary data for this operation.

Example output structure (simplified):

{
  "id": "user-id-string",
  "email": "user@example.com",
  "first_name": "FirstName",
  "last_name": "LastName",
  "role": "standard",
  "status": "active",
  ...
}

Dependencies

  • Requires an API key credential for authenticating with the Tallyfy API.
  • Needs the organization ID configured in the credentials to construct API endpoints.
  • Uses HTTP requests to the Tallyfy REST API at the base URL https://go.tallyfy.com/api (default).

Troubleshooting

  • Invalid User ID: If the provided User ID does not exist or is malformed, the API will return an error. Verify the User ID is correct.
  • Authentication Errors: Ensure the API key credential is valid and has access to the specified organization.
  • Network Issues: Connectivity problems can cause request failures; check network access to the Tallyfy API endpoint.
  • Permission Denied: The authenticated user may lack permission to view user details; confirm appropriate roles and permissions.

If errors occur, enabling "Continue On Fail" allows the workflow to proceed while capturing error messages in the output.

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