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What can you do with it?

Parse and process CSV files with dynamic column handling. Automatically adapts to any CSV structure, supports filtering, sorting, and data transformation operations.

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How to use it?

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Basic Command Structure

/csv
file: the CSV file to process
action: what to do with the data

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Parameters

  • file: CSV file from uploads or previous steps
  • action: Operation to perform (filter, sort, aggregate, transform)
  • filter criteria (optional): Column and value to filter by
  • sort column (optional): Column to sort by
  • output format (optional): How to save results (csv, json)

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Response Format

Returns processed data with metadata including row count, column names, and sample rows.

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Examples

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Basic Usage

Parse and analyze a CSV file: 
/csv
file: customers.csv
action: analyze structure and show sample data

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Advanced Usage

Filter data by column value: 
/csv
file: sales_data.csv
action: filter rows where region equals "North"
output format: json

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Specific Use Case

Sort and transform data: 
/csv
file: inventory.csv
action: sort by price descending, keep only top 100 items
output format: csv

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Notes

  • Automatically handles various CSV formats and delimiters
  • Column names are dynamically discovered, no assumptions made
  • Supports case-insensitive column matching
  • Works with files from file-inputs or artifacts
  • Built-in normalization for common column name variations