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Copyediting Throughput — Record Quality Audit + Exact Row Deduplication + Numeric Row Ordering
x402
Copyediting Throughput — Record Quality Audit + Exact Row Deduplication + Numeric Row Ordering is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-11-02).
Audits data quality, deduplicates identical rows, and numerically orders records in a supplied copyediting throughput dataset (edited_words, editing_hours) — three analytical reports in one call.
Price / call$0.01
Success—
StatusUnknown
How this service works
Copyediting throughput — Record quality audit + Exact row deduplication + Numeric row ordering: Record quality audit + Exact row deduplication + Numeric row ordering for supplied copyediting throughput records (edited_words, editing_hours). Up to 200 rows; 3 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 3 supplied-data reports for up to 200 rows.
Output
Returns three independent analytical reports: (1) a record quality audit flagging completeness and validity issues across the rows, (2) an exact row deduplication report identifying identical records, and (3) a numerically ordered version of the rows sorted by the selected field (edited_words or editing_hours). All computed locally from supplied data with no external lookups.
Example use cases
Pre-import editing log cleanup
“Before I import my editing logs into the dashboard, can you audit these 80 copyediting records for quality issues, flag any exact duplicate rows, and sort them by edited_words? I'll send over the rows with row_id, document_group, date, edited_words, and editing_hours.”
Monthly editorial throughput review
“I've got 120 rows of monthly copyediting throughput data with edited_words and editing_hours per document group. Can you run a record quality audit, deduplicate any identical entries, and give me them back ordered numerically by editing_hours?”
Freelancer data validation before billing
“I need to validate the editing records submitted by our freelancers — about 45 rows each with a row_id, date, document_group, edited_words, and editing_hours. Please audit the data quality, remove exact duplicates, and sort the results by edited_words.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-writing-13-213?utm_source=zero.xyzWhen to prefer
Use this endpoint when you need a combined data-quality audit, deduplication pass, and numeric sort on copyediting throughput records (edited_words/editing_hours) in a single low-cost call. Ideal for editorial teams cleaning up session logs before import, freelancer billing validation, or monthly throughput reviews where no live data lookup or prediction is needed.
Side effects
- Exceeding 200 rows returns a validation error
- Missing required fields (row_id, document_group, date, edited_words, editing_hours) causes row-level errors
- Invalid date format (not YYYY-MM-DD) triggers pattern validation failure
- Numeric values outside allowed range fail schema validation
- Empty rows array rejected by minItems constraint
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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