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Job Listing Inventories — Numeric Row Ordering + Secondary-Measure Weighted Mean
x402
Job Listing Inventories — Numeric Row Ordering + Secondary-Measure Weighted Mean is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-11-02).
Computes numeric row ordering and a duplicate_listings-weighted mean for job listing inventory records (listing_count, duplicate_listings) across up to 200 rows, returning two analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Job listing inventories — Numeric row ordering + Secondary-measure weighted mean: Numeric row ordering + Secondary-measure weighted mean 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 local analytical reports: (1) numeric row ordering of the supplied records by the chosen field (listing_count or duplicate_listings), and (2) a weighted mean of the primary field using the secondary measure as weights, computed across up to 200 input rows. No external data is fetched; all computation is performed on the supplied data.
Example use cases
Ranking job listings across company groups
“I have 50 rows of job listing inventory data across multiple company groups with listing counts and duplicate listing counts per day — can you rank all rows numerically by listing_count and compute the weighted mean of listing_count using duplicate_listings as the weight?”
Identifying duplicate-weighted hiring activity
“Here's my job listing dataset with listing_count and duplicate_listings for four company groups over the past month — please give me the numeric row ordering and the duplicate-listings-weighted average of listing_count so I can see which periods had the most meaningful activity.”
Comparing recruitment inventory quality across dates
“I want to analyze my recruitment inventory records — I have about 80 rows with row IDs, company groups, dates, listing counts, and duplicate listing counts — can you order them numerically by listing_count and tell me the weighted mean for listing_count weighted by duplicate_listings?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-13-121?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both numeric row ranking and a secondary-measure weighted mean on job listing inventory data (listing_count, duplicate_listings) in a single low-cost call. Ideal for datasets up to 200 rows where all data is already available locally and no external lookup, prediction, or live data is required. Prefer over generic analytics tools when you specifically need the duplicate-listings-weighted mean pattern on recruitment inventory data.
Side effects
- More than 200 rows submitted — request rejected due to maxItems constraint
- Missing required fields (row_id, date, listing_count, duplicate_listings) — validation error
- Date field not matching YYYY-MM-DD pattern — schema validation failure
- Null values in both listing_count and duplicate_listings making weighted mean undefined
- Empty rows array — rejected due to minItems:1 constraint
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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