Job Listing Inventories — Daily Sum Series & Adjacent Row Changes is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-19).
Computes a daily sum time series and adjacent row-to-row changes for job listing inventory data (listing_count, duplicate_listings) across up to 200 supplied rows.
Job listing inventories — Daily sum series + Adjacent row changes: Daily sum series + Adjacent row changes for supplied job listing inventories records (listing_count, duplicate_listings). 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 daily sum series aggregating the selected numeric field (listing_count or duplicate_listings) by date across all supplied rows, and (2) an adjacent row change report showing the difference between each consecutive row for the selected field. Results are computed locally from the supplied data with no external lookups.
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-13-137?utm_source=zero.xyzChoose this endpoint when you have tabular job listing inventory data (with listing_count and/or duplicate_listings columns) and need both a daily aggregated sum series and adjacent row delta analysis in a single low-cost call. It is best suited for offline/batch analytical workflows on supplied data rather than live lookups or predictions. Ideal when you need two complementary reports (trend + change) on up to 200 rows at minimal cost.
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
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