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Job Listing Inventories — Two-Measure Correlation + Explicit Missing-Value Fill
x402
Job Listing Inventories — Two-Measure Correlation + Explicit Missing-Value Fill is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-23).
Computes Pearson/Spearman correlation between listing_count and duplicate_listings, and fills missing values in a chosen field using zero, mean, or median imputation — two independent analytical reports for up to 200 rows of job listing inventory data.
Price / call$0.01
Success—
StatusUnknown
How this service works
Job listing inventories — Two-measure correlation + Explicit missing-value fill: Two-measure correlation + Explicit missing-value fill 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) a correlation report showing the statistical relationship (e.g. Pearson/Spearman coefficient) between listing_count and duplicate_listings across the supplied rows; (2) a missing-value fill report showing imputed values for the chosen field using the selected method (zero, mean, or median). Results are computed locally on the supplied data — no external lookups performed.
Example use cases
Detect duplicate inflation across job boards
“I want to know if companies with more total job listings also tend to have more duplicates. Run a correlation report on my inventory data — here are 150 rows with row_id, company_group, date, listing_count, and duplicate_listings — and also fill any missing listing_count values using the mean.”
Clean sparse listing data before reporting
“My job listing inventory export has a bunch of null values in the duplicate_listings column. Can you fill those missing values using median imputation and also give me the correlation between listing_count and duplicate_listings? I've got about 80 rows to process.”
Compare listing volume vs. duplicates across company groups
“I'm comparing job listing quality across company groups and need to understand whether listing_count and duplicate_listings move together. Please run the two-measure correlation and fill any missing listing_count entries with zero — here are the rows grouped by company_group and dated 2025-01-01 through 2025-03-31.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-13-184?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both a correlation analysis and missing-value imputation on job listing inventory data in a single, low-cost call ($0.01 USDC for both reports). It is ideal for offline batch processing of up to 200 rows where no live data lookup, prediction, or external integration is needed. Prefer this over generic analytics tools when the data specifically involves listing_count and duplicate_listings metrics and you want structured, reproducible statistical output without setting up a local analysis pipeline.
Side effects
- Fewer than 1 row supplied — request rejected with validation error
- More than 200 rows submitted — exceeds maximum, request rejected
- Invalid date format in any row (must be YYYY-MM-DD) — validation error
- Unknown imputation method value outside zero/mean/median enum — error
- Both measure fields entirely null — correlation cannot be computed, report may return NaN or error
- Payment not included or insufficient — x402 payment required error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| method | string |
Tags
x402
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