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Job Listing Inventories — Category Frequencies + Date by Category Pivot
x402
Job Listing Inventories — Category Frequencies + 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).
Analyzes supplied job listing inventory rows to produce two local reports: category frequency distribution across company groups, and a date-by-category pivot table for listing_count or duplicate_listings.
Price / call$0.01
Success—
StatusUnknown
How this service works
Job listing inventories — Category frequencies + Date by category pivot: Category frequencies + 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
Two analytical reports: (1) category frequency counts showing how many records belong to each company_group value, and (2) a date-by-category pivot table showing the selected field (listing_count or duplicate_listings) broken down by date rows and company_group columns. Up to 200 input rows supported. No external data fetched; all computation is local.
Example use cases
Audit duplicate listings by group
“I have 150 rows of job listing inventory data with company groups and dates — can you give me a frequency breakdown of duplicate_listings by category and also pivot those duplicates by date and company group so I can spot which groups are generating the most duplicates?”
Track listing volume trends over time
“I've got job listing records across groups like 'group-a' and 'group-b' from October 2026 — can you pivot the listing_count by date and company group and also show me the overall category frequencies so I can see which groups dominate?”
Compare category sizes for inventory planning
“Can you analyze these job listing inventory rows — I need to know how often each company group appears (category frequencies) and see a pivot of listing_count by date and category to help with our inventory planning?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-13-110?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 rows of job listing inventory data with company group and date dimensions and need both a frequency count per category and a date-by-category pivot in a single low-cost call. Ideal for lightweight, offline analytical summaries without requiring a database or BI tool. Prefer this over general analytics endpoints when your data already has the required schema (row_id, company_group, date, listing_count, duplicate_listings).
Side effects
- Input array exceeds 200 rows — request will be rejected or truncated
- Missing required fields (row_id, company_group, date, listing_count, duplicate_listings) cause row-level errors
- Invalid date format (must match YYYY-MM-DD pattern) causes parse failures
- Null numeric values may be excluded from pivot aggregations
- Invalid enum value for 'field' parameter defaults or errors
- Empty rows array returns no report data
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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