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Job Listing Inventories — Category Frequencies & Two-Measure Correlation
x402
Job Listing Inventories — Category Frequencies & Two-Measure Correlation 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 category frequency distributions and Pearson/two-measure correlation between listing_count and duplicate_listings for supplied job listing inventory rows (up to 200 rows, two reports per call).
Price / call$0.01
Success—
StatusUnknown
How this service works
Job listing inventories — Category frequencies + Two-measure correlation: Category frequencies + Two-measure correlation 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) a category frequency table showing how often each company_group (and other categorical fields) appears in the supplied rows, and (2) a two-measure correlation report quantifying the statistical relationship between listing_count and duplicate_listings across all supplied records. No external data is fetched; all computation is performed locally on the provided rows.
Example use cases
Duplicate listing rate by company group
“I have a dataset of job listings from multiple company groups with their listing counts and duplicate counts per day. Can you compute how frequently each company group appears and whether there's a correlation between total listings and duplicate listings across all rows?”
Job board quality audit for recruiter platform
“We're auditing our job board data for duplicate postings. Can you take these 150 rows of daily listing inventory records — each with a company_group, date, listing_count, and duplicate_listings — and give me the category frequency breakdown plus a correlation analysis between listing volume and duplicates?”
Hiring pipeline inventory analytics
“I want to understand the statistical relationship between how many jobs a company group posts and how many are duplicates. Here are our inventory records for October across group-a and group-b. Run the category frequency report and the two-measure correlation on listing_count vs duplicate_listings for me.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-13-108?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 rows of job listing inventory data and need both a categorical frequency breakdown and a two-measure correlation between listing volume and duplicate count in a single paid call. It is best for offline/batch analytical use cases where no live data lookup, external enrichment, or prediction is needed — just fast local statistical computation on supplied data.
Side effects
- More than 200 rows supplied — request rejected or truncated
- Missing required fields (row_id, company_group, date, listing_count, duplicate_listings) causing validation errors
- Malformed date strings not matching YYYY-MM-DD pattern
- All-null numeric columns preventing correlation computation
- Fewer than 2 rows making correlation statistically undefined
- Payment of 0.01 USDC not completed — x402 payment required before processing
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array |
Tags
x402
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