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Job Listing Inventories — Record Quality Audit + Daily Sum Series
x402
Job Listing Inventories — Record Quality Audit + Daily Sum Series is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-15).
Performs a record quality audit and daily sum series analysis on up to 200 rows of job listing inventory data (listing_count, duplicate_listings) in a single call, returning two independent analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Job listing inventories — Record quality audit + Daily sum series: Record quality audit + Daily sum 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) a record quality audit identifying issues such as missing values, out-of-range values, or anomalies across the submitted rows; and (2) a daily sum series aggregating the selected numeric field (listing_count or duplicate_listings) by date across the supplied records. Up to 200 rows per call.
Example use cases
Daily listing count rollup for recruiter dashboard
“I have 120 rows of daily job listing records across several company groups with listing_count and duplicate_listings columns — can you generate a daily sum series for listing_count and also flag any record quality issues in the dataset?”
Duplicate listing audit for data cleanup
“Our job board data has 80 rows of listing inventory records by date and company group, and I suspect there are quality problems. Run a record quality audit and a daily sum series on duplicate_listings so I can see where duplicates are spiking and where records are bad.”
Weekly QA check on job inventory pipeline
“Every week I get a batch of job listing inventory rows — about 150 rows — and I need to validate their quality and get daily totals for listing_count grouped by company. Can you run both the quality audit and the daily sum series reports on this week's batch?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-13-009?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both a data quality audit and a daily aggregate sum series on job listing inventory records in a single low-cost call. It is ideal for batch QA workflows on recruitment or job board pipeline data where you want to validate record completeness and see daily totals simultaneously. Not suitable for live lookups, predictions, or data with more than 200 rows per batch.
Side effects
- Exceeds 200-row limit — request rejected with validation error
- Missing required fields (row_id, date, company_group) — row-level validation failure
- Invalid date format (non-YYYY-MM-DD) — schema validation error
- Empty rows array — minimum 1 item required
- Numeric values outside allowed range — validation error
- Invalid field enum value — must be 'listing_count' or 'duplicate_listings'
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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