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Publication Proofing — Numeric Row Ordering + Base-100 Series
x402
Publication Proofing — Numeric Row Ordering + Base-100 Series 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 numeric row ordering and a base-100 index series for up to 200 publication proofing records across two metrics (checked_pages, flagged_pages), returning two independent analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Publication proofing — Numeric row ordering + Base-100 series: Numeric row ordering + Base-100 series 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 independent analytical reports per call: (1) a numeric row ordering of the supplied proofing records sorted by the selected metric (checked_pages or flagged_pages), and (2) a base-100 index series for that metric anchored at the specified base_index row. Both reports are computed locally from the supplied data with no external lookups.
Example use cases
Ranking proofread pages by volume
“I have a week's worth of proofreading data for three document groups — can you numerically rank the rows by checked_pages and give me a base-100 series starting from index 0? Groups are 'legal-docs', 'marketing', and 'hr-policy', with daily records from 2026-11-01 to 2026-11-07.”
Flagged pages trend indexing
“Can you build a base-100 index series for flagged_pages across my 10 proofing records for document groups 'drafts' and 'finals' covering 2026-09-01 to 2026-09-10, starting from base index 0? I want to see how flagging rates changed relative to the first row.”
Multi-group proofing performance comparison
“I've got 20 publication proofing entries spread across groups 'science', 'humanities', and 'arts' for October 2026 — please rank them by checked_pages and generate a base-100 series so I can compare performance across groups. Start the index at row 0.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-writing-18-117?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 publication proofing records and need both a ranked ordering and a base-100 normalized index series for either checked_pages or flagged_pages — all computed from your own supplied data without any external data fetching, prediction, or professional assessment. It is especially suited for editorial or publishing workflows needing lightweight, reproducible analytics on proofing throughput and error rates.
Side effects
- Exceeding 200 rows returns a validation error
- Missing required fields (row_id, document_group, date, checked_pages, flagged_pages) causes rejection
- Malformed date strings not matching YYYY-MM-DD pattern fail schema validation
- base_index out of range (0–199) causes an error
- Null values for both checked_pages and flagged_pages may produce incomplete reports
- Field selector not in enum ['checked_pages','flagged_pages'] causes rejection
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| base_index | integer |
Tags
x402
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