Publication Proofing — Category Frequencies + Trailing Mean Series is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-26).
Computes category frequency counts and a trailing moving-average series for publication proofing records (checked_pages, flagged_pages) supplied by the caller — no external lookups.
Publication proofing — Category frequencies + Trailing mean series: Category frequencies + Trailing mean 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.
Returns two analytical reports: (1) a category frequency table showing how often each document_group appears in the submitted rows, and (2) a trailing mean series for the selected field (checked_pages or flagged_pages) computed with the specified window size — both derived entirely from the supplied input data, up to 200 rows.
POSThttps://market.datapackvibe.com/x402/assistant-ib26-writing-18-103?utm_source=zero.xyzChoose this endpoint when you have up to 200 publication proofing records with checked_pages and flagged_pages fields and need both a category frequency breakdown by document_group and a trailing moving-average series in one low-cost call ($0.01 USDC). Prefer it over general analytics services when you want a self-contained, offline computation with no external data lookups and deterministic results.
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| window | integer |
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