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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.

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Authentication

Auth type: None

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Actions

ActionDescriptionKey inputsKey outputs
Set VariableAssign a static or interpolated value to a named keykey, valueresult
Format DateFormat an ISO date string for displaydate, locale (default: de-CH), format (short/long/relative)result
Filter ArrayKeep only array items where a field matches a valuearray, field, valueresult
JSON TransformPick specific keys from an object to produce a clean subsetinput, keys[]result

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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"

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Example — filter completed tasks from an array

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