Filter node

Keeps only the items that meet a condition, everything else is dropped. Runs per item; templates like {{ $json.score > 50 }} are allowed. Learn how to configure it, map inputs and outputs, run a test and resolve common errors.

7 min readUpdated September 10, 2026

What this node does

Keeps only the items that meet a condition, everything else is dropped. Runs per item; templates like {{ $json.score > 50 }} are allowed.

Use Filter as a clearly defined step in an anymize workflow.

Processes one input.
Provides one output for following steps.
Runs as a regular step in the flow.

Set up the node

01Open a workflow and add Filter from the node catalog.
02Complete the required fields and map values from previous steps.
03Run the node with a small test record and inspect its output.
04Connect the successful output and activate the workflow after an end-to-end test.

Operations and modes

Filter has one focused purpose. Its available settings appear when you select the node.

Settings

Field	Meaning	Area
Rules	Checks every entry using the imported comparisons. All values keep their data type.	Standard
Condition	Evaluated per item. Items that come back `false` are removed.	Standard

Inputs and outputs

Input	Meaning	Type
Standard	Receives the complete result from the previous step.	JSON

Output	Meaning	Type
Standard	Makes the result available to the next step as JSON.	JSON

Example and test run

Test-run example: begin with a small, recognizable record. Inspect the output and only map fields that are present there.

Test-run example

{
  "items": [
    {
      "score": 73
    },
    {
      "score": 12
    }
  ]
}

Access and security

Before activation, review which data enters this step and what its output contains.

Store keys and credentials in the protected connection manager. Never paste them into normal workflow fields, test data or descriptions.

Troubleshooting

No output: inspect the latest run and confirm that the previous node returned the expected fields.
Empty variable: open the previous step output and use a field name from the real test data.