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Publication Proofing — Base-100 Series + Two-Measure Correlation
x402
Publication Proofing — Base-100 Series + Two-Measure Correlation is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-24).
Computes a Base-100 indexed time series and a two-measure correlation report for publication proofing data (checked_pages, flagged_pages) across up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Publication proofing — Base-100 series + Two-measure correlation: Base-100 series + Two-measure correlation 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
Returns two analytical reports: (1) a Base-100 indexed time series for the selected field (checked_pages or flagged_pages) rebased to the specified row index, and (2) a two-measure correlation analysis between checked_pages and flagged_pages across all supplied rows. Results are computed locally on the supplied data with no external lookups.
Example use cases
Flagging rate trend analysis across document groups
“I have weekly proofing records for two editorial teams over 12 weeks — can you index the checked_pages counts to week 0 as base-100 and also show me the correlation between checked_pages and flagged_pages for each entry? Here are the rows with dates, group names, and both page counts.”
Editorial quality benchmark for a new publication
“We just launched a new publication and want to benchmark our proofreading quality over the first month. Can you take our 30 daily rows of checked_pages and flagged_pages, index them to day 0 as base-100, and compute the correlation between the two measures?”
Comparing proofing efficiency across document groups
“I need to compare how group-a and group-b are performing in our proofreading pipeline. I have 50 rows with dates, checked_pages, and flagged_pages for each group — can you run a base-100 series starting from index 0 on the flagged_pages field and also correlate it with checked_pages?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-writing-18-165?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have publication proofing records with checked_pages and flagged_pages and need both a normalized baseline index series AND a two-measure correlation in a single call. It is best suited for editorial QA workflows, publishing analytics, and document group comparisons where no external data or predictions are needed — just local computation on your supplied rows at a low flat cost of $0.01 USDC for up to 200 rows.
Side effects
- Fewer than 1 row or more than 200 rows submitted — request rejected
- base_index out of range (0–199) or exceeds actual row count — error returned
- Invalid date format (not YYYY-MM-DD) — validation error
- Null values in checked_pages or flagged_pages may affect correlation calculation
- Missing required fields (row_id, document_group, date) cause schema validation failure
- field value not one of 'checked_pages' or 'flagged_pages' — enum validation error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| base_index | integer |
Tags
x402
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