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Interact with the Intelup API

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integration → Post Integration Integration Laboratory

AI-generated

Summary

Sends a POST request to the Intelup (Fenix) API's public integration laboratory endpoint, creating an IntegrationLaboratory record from a JSON body. The HTTP method and path come from a bundled version catalog that the source doesn't show, so the exact endpoint is not visible here.

Inputs

  • version (required) — Intelup API version to target: 3.42.3 (default), 3.41.6 or 3.41.5. It selects which operation definition is used.
  • body__postPublicIntegrationIntegrationLaboratory (required) — JSON request body. The Swagger-generated template has these fields: variavel_origem, variavel_destino, variavel_hora, regra_coleta, tipo, tipo_meta. The default values are placeholders to replace. The body must parse as valid JSON, or the node throws 'Body must be valid JSON'.

Output shape

One output item per input item, whose json is the parsed API response body.

The request runs once for each input item, with the same body parameter evaluated per item. Authentication uses the fenixApi credential's token, code and unit-code headers, sent to the credential's baseUrl. If Continue On Fail is enabled, a failed item returns {error: message} instead of stopping the workflow.

Examples

Example 1: Register a laboratory integration mapping for a data collection rule

Version 3.42.3; Body JSON with variavel_origem, variavel_destino, variavel_hora, regra_coleta, tipo and tipo_meta filled with real values.

Example 2: Create laboratory integrations in bulk from incoming items

Feed multiple items in. Set the body to an expression such as {{ JSON.stringify($json) }}, so each item posts its own record.

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