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Copyediting Throughput — String Normalisation + Date by Category Pivot
x402
Copyediting Throughput — String Normalisation + Date by Category Pivot is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-11-05).
Runs two local analytical reports on copyediting throughput data: string normalisation and a date-by-category pivot, for up to 200 rows of edited_words/editing_hours records.
Price / call$0.01
Success—
StatusUnknown
How this service works
Copyediting throughput — String normalisation + Date by category pivot: String normalisation + Date by category pivot for supplied copyediting throughput records (edited_words, editing_hours). 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
Returns two analytical reports: (1) a string-normalised view of the copyediting throughput records, and (2) a date-by-category pivot table aggregating the selected metric (edited_words or editing_hours) by document_group across dates. Both reports are computed locally from the supplied data with no external lookups.
Example use cases
Editorial team weekly throughput review
“I have weekly copyediting records for two document groups — 'manuals' and 'articles' — with dates and edited word counts for each editor session. Can you normalise the strings and pivot the edited_words by document group and date so I can see throughput trends?”
Comparing editing hours across document categories
“I've got 50 rows of copyediting session data with dates, document groups, and editing hours logged. Run the string normalisation and date-by-category pivot on the editing_hours field so I can compare how time is distributed across categories over the past month.”
Content agency project audit
“We need to audit our copyediting throughput across client projects — I have up to 150 rows with project group labels, dates, and edited word counts. Please normalise the data and give me a pivot of edited_words by project group and date.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-writing-13-035?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need two specific analytical operations — string normalisation and date-by-category pivot — applied simultaneously to copyediting throughput records (edited_words, editing_hours) for up to 200 rows, at a flat $0.01 USDC for both reports. It is a purely local computation with no external data access, making it fast, deterministic, and privacy-safe for internal editorial data.
Side effects
- More than 200 rows submitted — request exceeds row limit
- Missing required fields (row_id, document_group, date, edited_words, editing_hours) cause validation errors
- Invalid date format (not YYYY-MM-DD) triggers pattern validation failure
- field enum value not 'edited_words' or 'editing_hours' causes rejection
- Null numeric values may reduce pivot completeness
- Empty rows array rejected by minItems constraint
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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