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Job Listing Inventories — Category Frequencies & Trailing Mean Series
x402
Job Listing Inventories — Category Frequencies & Trailing Mean Series is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-19).
Computes category-level frequency distributions and trailing moving-average series for job listing inventory data (listing_count, duplicate_listings) across up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Job listing inventories — Category frequencies + Trailing mean series: Category frequencies + Trailing mean 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: (1) category frequencies showing how listing_count or duplicate_listings values are distributed across company_group categories, and (2) a trailing mean series showing rolling averages of the selected field over the specified window — all computed locally on the supplied data, up to 200 rows.
Example use cases
Weekly listing trend smoothing
“I've got daily job listing counts across 4 company groups over the past 6 months — can you compute a trailing mean series with a window of 14 on listing_count so I can see smoothed weekly trends?”
Duplicate listing frequency audit
“Can you run a category frequency report on my job listing inventory data to see how often each company_group appears, using duplicate_listings as the field, across my 90 rows of records?”
Multi-group inventory comparison
“I have job listing inventory data for three company groups over Q3 — run both the category frequency breakdown and the trailing mean with window 5 on listing_count so I can compare inventory levels across groups.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-13-103?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have tabular job listing inventory data already in hand and need two fast local analytical reports — category frequency distributions and rolling mean series — without any external data lookup, prediction, or live market data. It is ideal for offline batch analytics on recruitment or HR inventory datasets up to 200 rows, and is cost-effective at $0.01 USDC for both reports in a single call.
Side effects
- Missing required fields (row_id, date, company_group) causes validation error
- Date strings not matching YYYY-MM-DD pattern are rejected
- Fewer than 1 or more than 200 rows triggers schema bounds error
- Window size less than 2 or exceeding 200 is invalid
- Null values in listing_count or duplicate_listings may affect mean computation
- Invalid field enum value (not listing_count or duplicate_listings) causes rejection
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| window | integer |
Tags
x402
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