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Publication Proofing — Numeric Distribution + Secondary-Measure Weighted Mean
x402
Publication Proofing — Numeric Distribution + Secondary-Measure Weighted Mean 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).
Computes a numeric distribution and a secondary-measure weighted mean for publication proofing records (checked_pages, flagged_pages) over up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Publication proofing — Numeric distribution + Secondary-measure weighted mean: Numeric distribution + Secondary-measure weighted mean for supplied publication proofing records (checked_pages, flagged_pages). 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 analytical reports: (1) a numeric distribution report showing statistical spread (e.g. min, max, percentiles, histogram bins) for the selected primary field across the supplied rows, and (2) a secondary-measure weighted mean where one numeric field is averaged using the other as weights — both computed locally without external lookups.
Example use cases
Editorial team proofreading volume review
“I have a batch of 8 proofing records from our editorial team across two document groups — 'manuscript' and 'galleys' — with dates in November 2025, checked_pages ranging from 5 to 80, and flagged_pages from 0 to 12. Can you compute the numeric distribution and weighted mean for checked_pages?”
QA audit of flagged page rates
“Run a distribution and secondary-measure weighted mean analysis on our QA audit data: I have 15 publication proofing rows with document group 'QA-batch-1', dates across January 2026, checked_pages between 20 and 200, and flagged_pages between 1 and 30 — use flagged_pages as the primary field.”
Cross-group comparison of proofreading coverage
“I want to compare proofreading coverage across three document groups — 'chapter-drafts', 'final-edits', and 'cover-pages' — using 12 rows of proofing data from Q3 2025. Give me the numeric distribution and weighted mean for checked_pages so I can see how evenly the work was spread.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-writing-18-082?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have tabular publication proofing data (checked_pages and flagged_pages per document group and date) and need both a numeric distribution summary and a weighted mean computed offline without any live data lookup, external API calls, or ML inference. It is well-suited for editorial QA workflows, proofreading throughput analysis, and document coverage audits on small batches (up to 200 rows).
Side effects
- Input array has 0 rows — minItems:1 violation returns validation error
- More than 200 rows supplied — maxItems:200 violation returns error
- Missing required fields (row_id, document_group, date, checked_pages, flagged_pages) — schema validation error
- Date fields not matching YYYY-MM-DD pattern — pattern validation error
- Invalid 'field' enum value (not 'checked_pages' or 'flagged_pages') — enum validation error
- All numeric values are null — may produce undefined or empty distribution
- Payment of 0.01 USDC not fulfilled — x402 payment required error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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