Data Nodes
Transform and extract data — set variables, parse JSON, format dates, math expressions, validate.
🔍
23 of 23 nodes
✅Checks1
Check Required Fields
1in2out▼
Validate that required data fields exist and are not empty
validate-lead-data
🔍Enrichment1
Validate Email Format
1in2out▼
Check if an email address has valid format (local validation, no API call)
validate-email-format
⚡General21
Extract Conversation Data
1in1out▼
Extract conversation details from the workflow context
Extract Customer Data
1in1out▼
Extract customer information from the workflow context
extract-customer-data
Extract Email
1in1out▼
Extract email addresses from text content
Extract Lead Data
1in1out▼
Extract lead information from the workflow context
extract-lead-data
Extract Message Data
1in1out▼
Extract message content and metadata
extract-message-data
Extract Phone Number
1in1out▼
Extract phone numbers from text content
Extract URL
1in1out▼
Extract URLs from text content
Extract Variables
1in1out▼
Extract variables from text using regex or patterns
Build JSON
1in1out▼
Create a JSON object from key-value pairs
Calculate
1in1out▼
Perform mathematical calculations
math-expression
Concatenate
1in1out▼
Join multiple strings together
Format Date
1in1out▼
Format a date/time value into various output formats
format-date
Format Text
1in1out▼
Format text (uppercase, lowercase, capitalize, etc.)
Merge Data
1in1out▼
Merge multiple data sources into a single object
merge-data
Parse JSON
1in1out▼
Parse JSON string into data object
parse-json
Set Variable
1in1out▼
Set a workflow variable with a value
set-variable
Split Text
1in1out▼
Split text by a delimiter into an array
Transform Data
1in1out▼
Transform an array or object using map, filter, reduce, sort, unique, or flatten
transform-data
Update Variable
1in1out▼
Modify an existing workflow variable
Validate Phone
1in2out▼
Check if a phone number is valid
Validate URL
1in2out▼
Check if a URL is valid and accessible