Data Transformations

Transform, filter, and map data between automation steps with built-in functions.

Transformation Engine

NeuraFlow includes a powerful data transformation engine that lets you reshape data between steps without code. Use JSONPath expressions, built-in functions, and template syntax to extract, transform, and format data.

Template Syntax

Use double curly braces to reference data from previous steps. Dot notation navigates nested objects, and array indexing accesses list items.

{{trigger.data.user.name}}           → Access nested field
{{steps.fetch_data.output[0].id}}    → First array item
{{trigger.data.amount | currency}}   → Apply formatter
{{env.API_BASE_URL}}                 → Environment variable

Built-in Functions

uppercase / lowercase — Case conversion
trim — Remove whitespace
split(delimiter) — Split string to array
join(delimiter) — Join array to string
dateFormat(pattern) — Format dates
mathRound(decimals) — Round numbers
jsonParse / jsonStringify — JSON conversion
base64Encode / base64Decode — Encoding

For complex transformations, use the Code Step with JavaScript or Python instead of chaining multiple built-in functions.

Transformation Engine

Template Syntax

Use double curly braces to reference data from previous steps. Dot notation navigates nested objects, and array indexing accesses list items.

{{trigger.data.user.name}}           → Access nested field
{{steps.fetch_data.output[0].id}}    → First array item
{{trigger.data.amount | currency}}   → Apply formatter
{{env.API_BASE_URL}}                 → Environment variable

Built-in Functions

uppercase / lowercase — Case conversion
trim — Remove whitespace
split(delimiter) — Split string to array
join(delimiter) — Join array to string
dateFormat(pattern) — Format dates
mathRound(decimals) — Round numbers
jsonParse / jsonStringify — JSON conversion
base64Encode / base64Decode — Encoding

For complex transformations, use the Code Step with JavaScript or Python instead of chaining multiple built-in functions.