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Data Nodes

Data nodes allow you to transform, process, and manipulate information. They are "Pure" nodes, meaning they run automatically when their data is requested.

🛠️ Transform Data (data.transform)​

The Swiss Army Knife of data processing. Use this to reshape JSON, calculate math, or format text.

Modes​

  • Identity: Pass data through unchanged.
  • Expression: Run a logic expression (e.g., value * 100).
  • Template: Create a string with variables (e.g., ID: {{value.id}}).

🔄 Map Array (data.map)​

Transforms a list of items into a new list.

Example:

  • Input: [1, 2, 3]
  • Expression: item * 2
  • Output: [2, 4, 6]

🔍 Filter Array (data.filter)​

Keeps only the items in a list that match a condition.

Example:

  • Input: [10, 5, 20, 2]
  • Condition: item > 5
  • Output: [10, 20]

📑 JSON Query (data.path_get)​

Deeply inspects a JSON object to extract specific fields.

Configuration:

  • Path: The dot-notation path to the data (e.g., user.address.city).

📝 Variable Management​

Set Variable (data.set_variable)​

Stores a value in a specific scope (flow, var, shared).

Note: This is an Impure node! It must be connected to the Flow to execute.

Get Variable (data.get_variable)​

Retrieves a stored value. It's a Pure node and pulls data on demand.

🧩 Other Data Utils​

Construct Object (data.object)​

Builds a new JSON object from individual fields.

JSON Parse/Stringify​

  • Parse: Convert a JSON string into an Object.
  • Stringify: Convert an Object into a JSON string.