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Job Listing Inventories — Record Quality Audit + String Normalisation + Date by Category Pivot
x402
Job Listing Inventories — Record Quality Audit + String Normalisation + 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 2026-10-25).
Runs three local analytical reports on job listing inventory data: record quality audit, string normalisation, and a date-by-category pivot, for up to 200 rows at $0.01 USDC.
Price / call$0.01
Success—
StatusUnknown
How this service works
Job listing inventories — Record quality audit + String normalisation + Date by category pivot: Record quality audit + String normalisation + Date by category pivot for supplied job listing inventories records (listing_count, duplicate_listings). Up to 200 rows; 3 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 3 supplied-data reports for up to 200 rows.
Output
Returns three analytical reports derived from the supplied rows: (1) a record quality audit flagging issues such as missing values, out-of-range numbers, and malformed dates; (2) a string normalisation report standardising company_group and other string fields; and (3) a date-by-category pivot table summarising the chosen numeric field (listing_count or duplicate_listings) broken down by date and company_group. All processing is local with no external lookups.
Example use cases
Auditing recruitment data before reporting
“I have a CSV of job listing inventory records across two company groups over the past quarter — can you run a quality audit, normalise the company_group strings, and give me a date-by-category pivot for listing_count so I can spot any issues before I send the report?”
Deduplication analysis for job board operator
“We suspect our job board has inconsistent company names and duplicate listings inflating our counts — run a record quality audit and string normalisation on these 150 rows of listing_count and duplicate_listings data, grouped by company_group and date.”
Category pivot for workforce analytics dashboard
“For our workforce analytics dashboard, take these job listing inventory records and produce a date-by-category pivot on duplicate_listings so we can see how duplicates trend across company groups over time.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-13-206?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have structured job listing inventory data (up to 200 rows) and need three complementary analytical reports — quality audit, string normalisation, and date pivot — in a single low-cost call ($0.01 USDC). It is ideal when all processing should be local with no external API calls, predictions, or professional assessments, and when your data includes company_group, date, listing_count, and duplicate_listings fields.
Side effects
- Rows array empty or missing — validation error returned
- More than 200 rows submitted — request rejected with maxItems error
- Invalid date format (not YYYY-MM-DD) — pattern validation failure
- Numeric fields outside allowed range — schema validation error
- Invalid field enum value (not listing_count or duplicate_listings) — rejected
- Malformed JSON body — parse error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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