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Job Listing Inventories — Secondary-Measure Weighted Mean + Date-by-Category Pivot
x402
Job Listing Inventories — Secondary-Measure Weighted Mean + 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 2026-10-15).
Computes a secondary-measure weighted mean and a date-by-category pivot table for supplied job listing inventory records (listing_count, duplicate_listings) in two independent reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Job listing inventories — Secondary-measure weighted mean + Date by category pivot: Secondary-measure weighted mean + 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 for the supplied rows (up to 200): (1) a secondary-measure weighted mean of the selected field (listing_count or duplicate_listings), weighted by the complementary measure; and (2) a date-by-category pivot table grouping values by date and company_group. Both reports are computed locally with no external lookups.
Example use cases
Weighted duplicate-adjusted listing summary
“I have 50 rows of job listing inventory across three company groups from the past month — please compute the weighted mean of listing_count using duplicate_listings as the weight, and also pivot the data by date and company group so I can see trends.”
Recruitment data QA pivot for talent team
“My talent ops team needs to review our job listing counts across company groups. Can you take these 80 rows of listing data and give me both the secondary-measure weighted mean and a date-by-category pivot for the duplicate_listings field?”
Benchmarking job board duplication rates
“I'm benchmarking how duplicate listings vary by company group over time. Can you analyze these 120 rows of job inventory records and return a weighted mean of duplicate_listings and a date-by-company-group pivot table?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-13-185?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have structured job listing inventory data (with listing_count and duplicate_listings columns, grouped by company and date) and need both a weighted mean and a date-by-category pivot in a single low-cost call. Ideal for offline/batch analytical workflows where no live data fetch or external prediction is required, and when your dataset fits within 200 rows.
Side effects
- More than 200 rows submitted — request will be rejected or truncated
- Missing required fields (row_id, company_group, date, listing_count, duplicate_listings) causing validation error
- Invalid date format (must be YYYY-MM-DD) causing parse failure
- All values null for selected measure resulting in undefined weighted mean
- Invalid enum value for 'field' parameter causing schema rejection
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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