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Job Listing Inventories — Numeric Interval Filter + Daily Sum Series
x402
Job Listing Inventories — Numeric Interval Filter + Daily Sum Series 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 computes a daily sum time series on supplied job listing inventory data (listing_count, duplicate_listings) for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Job listing inventories — Numeric interval filter + Daily sum series: Numeric interval filter + Daily sum series 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 on the supplied job listing inventory data: (1) a numeric interval filter report showing which rows have the selected field (listing_count or duplicate_listings) within the specified minimum/maximum bounds, and (2) a daily sum series report aggregating the selected field by date across all supplied rows. Up to 200 input rows supported.
Example use cases
Filtering listings by count range
“Here's my job listing inventory data for Q4 — can you filter it to rows where listing_count is between 0 and 30 and also show me the daily sum series for listing_count across all company groups?”
Detecting duplicate listing spikes
“I have job posting inventory records with duplicate_listings values. Can you run an interval filter keeping only rows where duplicate_listings is between 2 and 10, and give me the daily sum series for duplicate_listings so I can see when duplicates spike?”
Multi-group daily inventory summary
“I've got 150 rows of job listing inventory data split across three company groups with dates and listing counts — can you filter to listing_count between 15 and 100 and produce the daily sum series for listing_count so I can track totals per day?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-13-125?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have pre-collected job listing inventory data (up to 200 rows) and need both a numeric range filter and a daily sum time series computed in one call for listing_count or duplicate_listings. It is ideal for batch offline analysis of job market inventory snapshots where no live data lookup or external prediction is needed, and when cost efficiency (two reports for $0.01 USDC) is a priority.
Side effects
- Input rows array is empty or exceeds 200 items — validation error
- date fields do not match YYYY-MM-DD pattern — schema validation failure
- minimum value exceeds maximum value — may return empty filter results
- listing_count or duplicate_listings contain null values — nulls may be excluded from aggregation
- field enum value is not 'listing_count' or 'duplicate_listings' — rejected by schema
- Payment of 0.01 USDC not completed — 402 payment required response
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| maximum | number | |
| minimum | number |
Tags
x402
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