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Job Listing Inventories — Record Quality Audit + Base-100 Series
x402
Job Listing Inventories — Record Quality Audit + Base-100 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).
Runs two analytical reports on up to 200 rows of job listing inventory data: a record quality audit and a base-100 index series for listing_count or duplicate_listings.
Price / call$0.01
Success—
StatusUnknown
How this service works
Job listing inventories — Record quality audit + Base-100 series: Record quality audit + Base-100 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 analytical reports: (1) a record quality audit flagging issues such as nulls, out-of-range values, or missing required fields across the supplied rows, and (2) a base-100 index series for the selected numeric field (listing_count or duplicate_listings) anchored to the specified base row. Both reports are computed locally against the supplied data with no external lookups.
Example use cases
Job data quality audit before reporting
“I have 50 rows of job listing inventory records with listing_count and duplicate_listings by company group and date — can you run a record quality audit on them and tell me which rows have missing, null, or suspicious values?”
Base-100 index for listing volume trends
“Can you take my 30-row job listing dataset and produce a base-100 index series on the listing_count field, using row index 0 as the baseline, so I can compare listing volumes across company groups over time?”
Duplicate listing trend analysis
“I want to track how duplicate listings have changed relative to a baseline — run the base-100 index report on the duplicate_listings field across my 80-row inventory dataset, starting from row index 5.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-13-012?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 data quality audit and a base-100 index series in a single call without external API dependencies. It is ideal for offline/batch data validation and trend normalization on small-to-medium datasets. Prefer alternatives if you need live job listing data, predictions, or more than 200 rows.
Side effects
- More than 200 rows submitted — exceeds the maxItems limit
- Missing required fields (row_id, company_group, date, listing_count, or duplicate_listings) in any row
- Invalid date format (must match YYYY-MM-DD pattern)
- base_index out of range (must be 0–199 and within the actual row count)
- field value not in enum (must be 'listing_count' or 'duplicate_listings')
- Payment not provided or insufficient — requires 0.01 USDC via x402
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| base_index | integer |
Tags
x402
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