Transform

Transform nodes reshape data in-flight between steps. No external service is called — all processing runs inside the automation engine. Use Transform to prepare data before passing it to an action, or to extract a subset of fields from a complex API response.

Authentication

Auth type: None

Actions

Action	Description	Key inputs	Key outputs
Set Variable	Assign a static or interpolated value to a named key	`key`, `value`	result
Format Date	Format an ISO date string for display	`date`, `locale` (default: `de-CH`), `format` (short/long/relative)	result
Filter Array	Keep only array items where a field matches a value	`array`, `field`, `value`	result
JSON Transform	Pick specific keys from an object to produce a clean subset	`input`, `keys[]`	result

Example — format a date for a German-speaking audience

[Transform: Format Date]
    date: {{eventStartTime}}
    locale: de-CH
    format: long
→ outputs: "2. April 2026, 14:30"

Example — filter completed tasks from an array

[Transform: Filter Array]
    array: {{tasks}}
    field: status
    value: DONE
→ outputs only tasks where status === "DONE"

Last modified on April 2, 2026