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Job Listing Inventories — Numeric Interval Filter + Keyed Dataset Comparison
x402
Job Listing Inventories — Numeric Interval Filter + 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).
Applies a numeric interval filter and a keyed dataset comparison to two supplied job listing inventory datasets (listing_count, duplicate_listings) of up to 200 rows each, returning two analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Job listing inventories — Numeric interval filter + Keyed dataset comparison: Numeric interval filter + 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
Two analytical reports: (1) a numeric interval filter report classifying rows by which numeric band their chosen field (listing_count or duplicate_listings) falls into, and (2) a keyed dataset comparison report highlighting matches, mismatches, and missing keys between the two supplied datasets — all computed locally on up to 200 rows of supplied data.
Example use cases
Duplicate listing audit across periods
“I have two months of job listing inventory data for our company groups — run a numeric interval filter and keyed comparison on the duplicate_listings field so I can see which rows have mismatches between the two periods.”
Listing count range segmentation
“Can you filter our job listing records by numeric intervals on the listing_count field and compare them against last quarter's dataset to find which company groups have counts outside normal ranges?”
Cross-group inventory discrepancy detection
“We have two exports of job listing inventories for group-a and group-b — please run the interval filter and keyed dataset comparison on listing_count so I can identify rows where the two datasets diverge.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-13-134?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have two batches of pre-collected job listing inventory data (up to 200 rows each) and need both a numeric interval segmentation of a chosen metric AND a keyed row-by-row comparison between the two datasets in a single call. It is ideal for offline/batch analytical workflows where no live data lookup, prediction, or external action is needed, and cost efficiency ($0.01 for two reports) matters.
Side effects
- Input array exceeds 200 rows — request rejected
- Missing required fields (row_id, date, company_group, listing_count, duplicate_listings) — validation error
- Invalid date format (must match YYYY-MM-DD) — schema validation failure
- Numeric values outside allowed range (±1,000,000,000,000) — rejected
- Empty rows array (minItems:1 not met) — error
- Invalid field enum value (must be listing_count or duplicate_listings) — error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| other | array | |
| maximum | number | |
| minimum | number |
Tags
x402
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