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Style Guide Audits — String Normalisation + Numeric Distribution
x402
Style Guide Audits — String Normalisation + Numeric Distribution is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-26).
Runs two local analytical reports on style guide audit records: string normalisation on text fields and numeric distribution analysis on checked_items or flagged_items, for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Style guide audits — String normalisation + Numeric distribution: String normalisation + Numeric distribution for supplied style guide audits records (checked_items, flagged_items). Up to 200 rows; 2 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 2 supplied-data reports for up to 200 rows.
Output
Two independent analytical reports: (1) a string normalisation report on the text fields (row_id, document_group) in the supplied rows, and (2) a numeric distribution report on the selected numeric field (checked_items or flagged_items), covering statistics such as min, max, mean, and distribution shape — all computed locally on the supplied data with no external lookups.
Example use cases
Writing team compliance audit analysis
“I have 150 rows of style guide audit results with document groups, dates, checked_items, and flagged_items. Can you normalize the string fields and give me a numeric distribution report on checked_items so I can see where compliance is clustered?”
Flagged item spread across document groups
“Run a distribution analysis on the flagged_items column across my style guide audit records — I want to understand the spread and outliers. Here are my 80 audit rows with row_id, document_group, date, checked_items, and flagged_items.”
Normalizing inconsistent group labels in audit export
“My style guide audit export has messy document_group strings — can you apply string normalisation to clean them up and also give me the numeric distribution of flagged_items across these 60 rows?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-writing-05-022?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have structured style guide audit records (with checked_items and flagged_items columns) and need both string normalisation and numeric distribution analysis in a single low-cost call, without requiring external data, live lookups, or professional editorial assessment. Ideal for batch pre-processing or QA pipelines on writing compliance data up to 200 rows.
Side effects
- More than 200 rows submitted — request will be rejected or truncated
- Missing required fields (row_id, document_group, date, checked_items, flagged_items) cause validation errors
- Invalid date format (not YYYY-MM-DD) triggers schema validation failure
- Numeric values outside allowed range (-1T to +1T) are rejected
- Null values in the selected numeric field may limit distribution report completeness
- Invalid field selector (not 'checked_items' or 'flagged_items') causes error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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