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Job Listing Inventories — Record Quality Audit + Secondary-Measure Weighted Mean
x402
Job Listing Inventories — Record Quality Audit + Secondary-Measure Weighted Mean 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).
Performs a record quality audit and secondary-measure weighted mean computation 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 — Record quality audit + Secondary-measure weighted mean: Record quality audit + Secondary-measure weighted mean 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) a record quality audit identifying issues such as nulls, out-of-range values, and data integrity problems across the supplied rows, and (2) a weighted mean computation for the selected secondary measure (listing_count or duplicate_listings), both generated using local analytical engines without external lookups.
Example use cases
Recruiting data quality audit
“I have a batch of job listing records from our ATS — can you run a record quality audit on them and flag any issues with the listing_count and duplicate_listings fields? There are about 80 rows with company_group and date columns.”
Weighted mean for listing counts
“For this set of job listing inventory data across our company groups, can you compute the weighted mean of the listing_count field? I have around 120 rows with row_id, date, company_group, listing_count, and duplicate_listings.”
Duplicate listings analysis by company group
“Can you analyze my job listing inventory data for record quality and calculate a weighted mean on duplicate_listings? I've got about 40 rows across two company groups with dates ranging from last quarter.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-13-016?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both a record quality audit and a weighted mean computation on job listing inventory data in a single call. It is ideal for offline or batch analytical workflows where no live data lookup, external enrichment, or prediction is needed — just local statistical analysis on data you already have. Best suited for datasets of up to 200 rows with company_group segmentation and date-based records.
Side effects
- More than 200 rows submitted — request will be rejected or truncated
- Missing required fields (row_id, company_group, date, listing_count, or duplicate_listings) — validation error
- Invalid date format (must match YYYY-MM-DD pattern) — schema validation failure
- Invalid field enum value (must be 'listing_count' or 'duplicate_listings') — error response
- All numeric values are null — weighted mean computation may be undefined or return an error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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