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Job Listing Inventories — Numeric Interval Filter + Two-Measure Correlation
x402
Job Listing Inventories — Numeric Interval Filter + 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 2026-10-15).
Filters job listing inventory rows by a numeric interval on a chosen field and computes a correlation between listing_count and duplicate_listings across up to 200 supplied rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Job listing inventories — Numeric interval filter + Two-measure correlation: Numeric interval filter + 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) the subset of rows where the chosen field (listing_count or duplicate_listings) falls within the specified minimum–maximum interval, and (2) a Pearson or equivalent correlation coefficient between listing_count and duplicate_listings across the supplied data, both computed locally on the submitted rows with no external lookups.
Example use cases
Duplicate rate analysis by listing volume
“Here are my job board inventory records — filter them to rows where listing_count is between 10 and 100, then compute the correlation between listing_count and duplicate_listings so I can see if high-volume companies tend to have more duplicate postings.”
Outlier company group investigation
“I want to look at only the company groups with duplicate_listings between 0 and 5 in my dataset and get the two-measure correlation with listing_count — can you run both reports on these 150 rows?”
Quality audit on job listing pipeline
“We're auditing our job listing pipeline — please filter these records to where listing_count is between 20 and 200 and then correlate listing_count with duplicate_listings across all the rows so we can quantify the duplication problem.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-13-131?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you already have job listing inventory data locally and need both a numeric range filter and a two-measure correlation in a single paid call. It is ideal for offline or batch analytical workflows on up to 200 rows of listing_count and duplicate_listings data without requiring live data lookups, external integrations, or predictive modeling.
Side effects
- Fewer than 1 row submitted — violates minItems constraint
- More than 200 rows submitted — exceeds maxItems limit
- date field not matching YYYY-MM-DD pattern — schema validation error
- minimum greater than maximum — undefined interval produces empty filter result
- All values null for one measure — correlation undefined or NaN
- field enum value not 'listing_count' or 'duplicate_listings' — validation error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| maximum | number | |
| minimum | number |
Tags
x402
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