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Job Listing Inventories — Daily Sum Series + Explicit Missing-Value Fill
x402
Job Listing Inventories — Daily Sum Series + 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 2026-10-19).
Computes daily sum time series and fills missing values 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 — Daily sum series + Explicit missing-value fill: Daily sum series + 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 analytical reports: (1) a daily sum time series for the selected field (listing_count or duplicate_listings) aggregated across the supplied rows, and (2) an explicit missing-value-filled version of the dataset using the chosen strategy (zero, mean, or median). Results cover up to 200 input rows and are computed locally without external data lookups.
Example use cases
Daily listing count aggregation by company
“I have 150 rows of daily job listing data for several company groups spanning Q3 — please compute the daily sum series for listing_count and fill any missing days using median fill so I can see clean daily totals per group.”
Duplicate listing gap-fill for reporting
“My job listing inventory dataset has some null values in duplicate_listings — can you run a daily sum aggregation and fill those missing values with zero so I can produce a clean weekly report?”
Trend analysis prep with mean imputation
“I need to prepare my job listing inventory records for a trend analysis — please aggregate listing_count into a daily sum series and fill any missing entries using mean imputation across the 80 rows I'm sending.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-13-145?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have job listing inventory data (listing_count, duplicate_listings) with missing values and need both a clean daily sum time series and gap-filled records in a single call. It is well-suited for pre-processing inventory snapshots before downstream analytics, especially when you need two bundled reports (aggregation + imputation) for a flat $0.01 USDC fee. Prefer alternatives if you need live data lookup, predictive modeling, or processing more than 200 rows.
Side effects
- Input array is empty or exceeds 200 rows — validation error returned
- Invalid date format (not YYYY-MM-DD) causes row rejection
- Unknown fill method enum value results in request error
- Required fields (row_id, date, listing_count, duplicate_listings) missing from row objects cause schema validation failure
- All values for selected field are null — mean/median fill may produce zero or undefined results
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| method | string |
Tags
x402
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