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Job Listing Inventories — Adjacent Row Changes + Date by Category Pivot
x402
Job Listing Inventories — Adjacent Row Changes + Date by Category Pivot 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 adjacent row changes and a date-by-category pivot table for job listing inventory data (listing_count, duplicate_listings) across up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Job listing inventories — Adjacent row changes + Date by category pivot: Adjacent row changes + Date by category pivot 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.
Output
Returns two analytical reports: (1) an adjacent row changes report showing value differences between consecutive rows for the selected field, and (2) a date-by-category pivot table cross-tabulating the selected field (listing_count or duplicate_listings) by date and company_group. No external data is fetched; all computation is performed on the supplied rows.
Example use cases
Track listing count shifts across daily snapshots
“I have daily job listing snapshots for group-a and group-b from October — can you run adjacent row change analysis and a date pivot on the listing_count field so I can see how counts shifted day to day?”
Audit duplicate listings by company group over time
“I want to understand how duplicate_listings are distributed across company groups over a date range — can you run the row-change diff and date-category pivot on my duplicate_listings data for these 80 records?”
Compare inventory trends across recruitment categories
“I have 150 rows of job listing inventory data split across several company groups with dates and listing counts — please give me both the adjacent row changes and the date-by-category pivot so I can spot anomalies across categories.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-13-160?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need two specific analytical reports — adjacent row-to-row differences and a date-by-category pivot — on job listing inventory data (listing_count or duplicate_listings) supplied by the caller. It is ideal for offline, reproducible batch analysis of up to 200 records without any external data dependencies. Prefer it over general-purpose analytics tools when cost certainty ($0.01 USDC for both reports) and schema-constrained inputs are acceptable.
Side effects
- Input array exceeds 200 rows — request will be rejected or truncated
- Missing required fields (row_id, date, company_group, listing_count, duplicate_listings) cause validation errors
- Invalid date format (not YYYY-MM-DD) triggers schema validation failure
- Null numeric values may produce gaps or nulls in computed deltas
- Selecting a field not in the enum ('listing_count' or 'duplicate_listings') causes an error
- Fewer than 1 row provided causes a minItems validation failure
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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