Get an overview of a CSV file including size, row/column count, detected delimiter, and a preview of the data.

Get sample records from a CSV file using various sampling strategies.

Infer the schema of a CSV file by sampling records. Returns column names, types, and nullability.

Collect aggregate statistics for fields in a CSV file. Includes min/max, mean, median, stdDev for numeric fields, and top values for categorical fields.

Search for records where a field matches a regex pattern.

Filter records using query expressions. Supports comparisons (==, !=, <, >, <=, >=), text operations (contains, startswith, endswith, matches), and compound queries (AND, OR).

Validate a CSV file for syntax errors and optionally against a schema.

Read new records appended to a CSV file since a cursor position. Use for monitoring actively-written files.

Get the current cursor position (end of file) for use with csv_tail.

Compare two CSV files and report differences.

Extract a specific field value from a CSV record. Use for retrieving large/truncated field data. Can write to file for binary data (e.g., base64 images).

List fields in a CSV that contain large values (e.g., base64 images, JSON blobs). Helps identify which fields were truncated in csv_inspect.