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Job Listing Inventories — String Normalisation + Date-by-Category Pivot
x402
Job Listing Inventories — 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 2026-10-15).
Normalises string fields and produces a date-by-category pivot table for supplied job listing inventory records (listing_count, duplicate_listings) across up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Job listing inventories — String normalisation + Date by category pivot: String normalisation + 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 analytical reports: (1) a string-normalised version of the supplied job listing inventory records with cleaned company_group and other string fields, and (2) a date-by-category pivot table aggregating the chosen numeric field (listing_count or duplicate_listings) grouped by company_group across dates — both computed locally with no external lookups.
Example use cases
Auditing duplicate job postings by company
“I have a week's worth of job listing inventory records across two company groups and I need to see both normalised string output and a date pivot on the duplicate_listings field — here are my 8 rows with row_id, company_group, date, listing_count, and duplicate_listings values, can you run both reports?”
Weekly listing count pivot for recruitment dashboard
“Can you take these 50 rows of job listing inventory data — each with a row_id, company_group, date, listing_count, and duplicate_listings — normalise the strings and produce a date-by-category pivot on listing_count so I can plug it into our weekly recruitment dashboard?”
Comparing listing volumes across hiring groups
“I want to compare how listing counts differ between our three company groups over the past month — I've got 120 rows of inventory data with dates from 2026-09-01 to 2026-09-30, please normalise the strings and give me the date-by-category pivot using listing_count.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-13-035?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 rows of job listing inventory data and need both string normalisation and a date-by-category pivot in a single low-cost call ($0.01 USDC). It is ideal for offline/batch analytical tasks where no live data lookup, external prediction, or professional assessment is needed — the computation runs on supplied data only.
Side effects
- Exceeding 200 rows triggers a validation error
- Missing required fields (row_id, company_group, date, listing_count, duplicate_listings) causes rejection
- Invalid date format (non YYYY-MM-DD) fails schema validation
- Numeric values outside ±1,000,000,000,000 are rejected
- Empty rows array is rejected (minItems: 1)
- Invalid field enum value (anything other than listing_count or duplicate_listings) causes an error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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