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Job Listing Inventories — Adjacent Row Changes + Two-Measure Correlation
x402
Job Listing Inventories — Adjacent Row Changes + 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 adjacent-row delta changes and Pearson/rank correlation between listing_count and duplicate_listings for up to 200 supplied job listing inventory records.
Price / call$0.01
Success—
StatusUnknown
How this service works
Job listing inventories — Adjacent row changes + Two-measure correlation: Adjacent row changes + 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 independent analytical reports: (1) adjacent row change values showing delta between consecutive rows for the selected measure, and (2) a two-measure correlation report quantifying the statistical relationship between listing_count and duplicate_listings across all supplied rows. Up to 200 rows per call.
Example use cases
Track daily listing volume shifts
“I have a week of job listing data by company group — can you calculate how listing_count changes from one day to the next and whether it correlates with duplicate_listings? Here are my 7 rows with dates from 2026-10-01 to 2026-10-07.”
Audit duplicate growth alongside listings
“We're seeing more duplicate job postings lately. Can you run adjacent row changes and a two-measure correlation on these 50 inventory records to see if duplicate_listings is growing in lockstep with listing_count? I'll send the rows with row_id, company_group, date, listing_count, and duplicate_listings.”
Compare listing trends across company groups
“I have 100 job listing inventory records across two company groups spanning several months — can you compute the row-to-row changes in listing_count and show me how correlated it is with duplicate_listings across those records?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-13-158?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have pre-collected job listing inventory data (listing_count and duplicate_listings) and need both a row-by-row delta analysis and a statistical correlation between the two measures in a single API call at minimal cost. It is ideal for offline batch analysis of up to 200 rows without requiring any external data lookup, prediction, or live data source.
Side effects
- More than 200 rows submitted — only up to 200 rows are supported per call
- Missing required fields (row_id, date, listing_count, or duplicate_listings) cause validation errors
- Invalid date format (must match YYYY-MM-DD pattern) causes rejection
- Null values in both measure fields may degrade correlation computation
- Single-row input makes adjacent row changes and correlation degenerate or undefined
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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