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Job Listing Inventories — Record Quality Audit + Date by Category Pivot
x402
Job Listing Inventories — Record Quality Audit + Date by Category Pivot 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).
Runs two analytical reports on supplied job listing inventory data: a record quality audit and a date-by-category pivot, using listing_count and duplicate_listings fields.
Price / call$0.01
Success—
StatusUnknown
How this service works
Job listing inventories — Record quality audit + Date by category pivot: Record quality audit + Date by category pivot 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 duplicates across the supplied rows, and (2) a date-by-category pivot table summarizing the selected numeric field (listing_count or duplicate_listings) broken down by date and company_group. Up to 200 rows processed per call.
Example use cases
Recruiting data quality check
“I've got a spreadsheet of job listing inventory records across several company groups with dates, listing counts, and duplicate counts — can you audit these rows for quality issues and also pivot the listing_count by date and company group? Here are my 80 rows.”
Duplicate listing analysis by team
“Our HR team wants to know where duplicate job listings are concentrated across our business units over the last quarter. Can you run the record quality audit and date-by-category pivot on these 150 rows of inventory data, focusing on the duplicate_listings field?”
Monthly inventory report for job board
“I manage a job board and need to validate my monthly listing inventory records for data quality problems, then see a breakdown of listing_count by date and category for our top company groups. Please run both reports on these 60 rows.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-13-017?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 rows of job listing inventory data and need both a structured data quality audit and a date-segmented categorical pivot in a single low-cost call ($0.01 USDC). Ideal for HR analytics, job board operators, or recruiting platforms doing routine data hygiene checks without needing live lookups, predictions, or external integrations.
Side effects
- More than 200 rows submitted — request will be rejected or truncated
- Missing required fields (row_id, company_group, date, listing_count, duplicate_listings) cause validation errors
- Invalid date format (not YYYY-MM-DD) causes parse failure
- field enum value not one of listing_count or duplicate_listings causes error
- All-null numeric columns may produce empty pivot output
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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