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Job Listing Inventories — Two-Measure Correlation + Keyed Dataset Comparison
x402
Job Listing Inventories — Two-Measure Correlation + Keyed Dataset Comparison 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).
Runs two local analytical reports on job listing inventory data: a Pearson/Spearman correlation between listing_count and duplicate_listings, plus a keyed row-by-row comparison between two supplied datasets.
Price / call$0.01
Success—
StatusUnknown
How this service works
Job listing inventories — Two-measure correlation + Keyed dataset comparison: Two-measure correlation + Keyed dataset comparison 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 two-measure correlation report showing the statistical relationship between listing_count and duplicate_listings across supplied rows, including correlation coefficient and significance indicators; (2) a keyed dataset comparison report showing row-by-row differences between the primary and secondary datasets matched on row_id, company_group, and date. All computation is local with no external lookups.
Example use cases
Duplicate rate vs volume correlation check
“I've got weekly job listing counts and duplicate listing counts for about 150 rows across group-a and group-b from 2026-01-01 to 2026-03-31 — can you compute the correlation between listing_count and duplicate_listings and compare this dataset against last quarter's snapshot row by row?”
Multi-company inventory drift analysis
“We track job listings across several company groups daily. Here are two snapshots of our inventory data — can you correlate total listings with duplicates across both datasets and then do a keyed comparison to show which rows changed between the two?”
Job board quality audit across time periods
“I need to audit our job board for two periods: rows from Q1 and Q2 2026, each with listing_count and duplicate_listings per company. Please correlate the two measures and compare the Q1 and Q2 datasets record by record so I can see where duplicates spiked relative to volume.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-13-183?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have pre-collected job listing inventory data (listing_count and duplicate_listings per company group and date) and need two offline statistical reports — a correlation analysis and a keyed dataset diff — computed locally without any live data fetching, prediction, or external API calls. Best when you want both reports in a single $0.01 USDC call for up to 200 rows.
Side effects
- Input array exceeds 200 rows — request rejected
- Missing required fields (row_id, company_group, date, listing_count, duplicate_listings) — validation error
- Date field does not match YYYY-MM-DD pattern — schema validation failure
- Insufficient numeric variation in measures to compute meaningful correlation — may return null or NaN coefficient
- Mismatched row_id keys between primary and comparison datasets — unmatched rows flagged or omitted in comparison report
- Payment not included or insufficient — x402 payment required error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| other | array |
Tags
x402
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