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Job Listing Inventories — String Normalisation + Equal-Width Histogram
x402
Job Listing Inventories — String Normalisation + Equal-Width Histogram is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-23).
Runs string normalisation and an equal-width histogram report on up to 200 job listing inventory records (listing_count, duplicate_listings) using local analytical engines.
Price / call$0.01
Success—
StatusUnknown
How this service works
Job listing inventories — String normalisation + Equal-width histogram: String normalisation + Equal-width histogram 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
Two analytical reports: (1) a string normalisation report for the text fields in the supplied job listing inventory rows, and (2) an equal-width histogram report for the selected numeric field (listing_count or duplicate_listings) broken into the specified number of bins, covering up to 200 rows of supplied data.
Example use cases
Distribution of job listing counts by company
“I have a dataset of job listing records across two company groups over 3 months — can you normalise the data and show me an equal-width histogram with 10 bins for the listing_count field so I can see how listings are distributed?”
Duplicate listing frequency analysis
“Run a histogram with 7 equal-width bins on the duplicate_listings field in my job inventory data — I'm uploading about 150 rows with row IDs, company group labels, dates, and counts.”
Pre-reporting data quality check for recruiter platform
“Before I build my report, can you normalise the string fields and bucket the listing_count values into 5 equal-width bins for my 80-row job listing inventory dataset? Each row has a row_id, company_group, date, listing_count, and duplicate_listings.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-13-031?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have tabular job listing inventory data (up to 200 rows) and need both string normalisation and an equal-width frequency histogram in a single call without any external lookups, live data fetching, or ML predictions. It is ideal for offline, local analytical processing of supplied data where you control the number of bins and the target numeric field.
Side effects
- More than 200 rows submitted — request rejected, reduce row count
- Invalid date format (not YYYY-MM-DD) — schema validation error
- bins value outside 1–30 range — request rejected
- Missing required fields (row_id, company_group, date, listing_count, duplicate_listings) — validation error
- Non-numeric values in listing_count or duplicate_listings — may be treated as null or cause error
- Empty rows array — request rejected
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| bins | integer | |
| rows | array | |
| field | string |
Tags
x402
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