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Job Listing Inventories — Secondary-Measure Weighted Mean + Explicit Missing-Value Fill
x402
Job Listing Inventories — Secondary-Measure Weighted Mean + 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 2026-10-15).
Computes a secondary-measure weighted mean and fills missing values in job listing inventory data (listing_count, duplicate_listings) for up to 200 rows, returning 2 analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Job listing inventories — Secondary-measure weighted mean + Explicit missing-value fill: Secondary-measure weighted mean + 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 2 analytical reports per call covering: (1) secondary-measure weighted mean of the chosen field (listing_count or duplicate_listings) across supplied rows, and (2) explicit missing-value fill results using the specified method (zero, mean, or median), applied to up to 200 input rows.
Example use cases
Recruitment pipeline duplicate analysis
“I have a table of job listing records from multiple hiring companies over the past month, some entries have null duplicate_listings values — can you compute the weighted mean of duplicate_listings and fill the missing values using the mean method?”
Multi-company listing count aggregation
“Here are 150 rows of job inventory data across 5 company groups with dates from Q3 2025 — compute the weighted mean of listing_count and use zero-fill for any missing values so I can compare performance across groups.”
Job board data cleaning for reporting
“I need to clean up my job listing dataset before reporting — there are some missing listing_count entries scattered across group-a and group-b rows. Can you fill those nulls using median and give me the weighted mean as a summary stat?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-13-187?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have structured job listing inventory data (listing_count and/or duplicate_listings) that needs both weighted mean aggregation by secondary measure and explicit missing-value imputation in a single call. It is purpose-built for recruitment/job board analytics pipelines that require statistically clean summaries without relying on external data sources or live lookups. Prefer this over general-purpose analytics tools when you need deterministic, offline computation with predictable pricing ($0.01 USDC for 2 reports covering up to 200 rows).
Side effects
- More than 200 rows submitted — request rejected with row count exceeded error
- Invalid date format not matching YYYY-MM-DD pattern — validation error
- Missing required fields (row_id, company_group, date) — schema validation failure
- Field enum value not in ['listing_count','duplicate_listings'] — invalid field error
- All values for the chosen field are null — weighted mean may be undefined or returns fill-only result
- Numeric values outside allowed range (-1T to +1T) — validation error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| method | string |
Tags
x402
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