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Job Listing Inventories — String Normalisation & Numeric Distribution
x402
Job Listing Inventories — String Normalisation & Numeric Distribution 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 string normalisation and numeric distribution analysis on up to 200 rows of job listing inventory data (listing_count, duplicate_listings), returning two independent analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Job listing inventories — String normalisation + Numeric distribution: String normalisation + Numeric distribution 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 covering text fields such as company_group, and (2) a numeric distribution report (e.g. min, max, mean, percentiles, spread) for the selected numeric field (listing_count or duplicate_listings), computed locally against the supplied rows with no external data lookups.
Example use cases
Auditing duplicate listings across recruiters
“I have 80 rows of job listing inventory data with company_group and duplicate_listings values by date — can you run string normalisation and a numeric distribution report on the duplicate_listings field so I can spot which groups have unusually high duplicates?”
Standardising listing counts for quarterly report
“Run string normalisation and numeric distribution analysis on my job listing inventory records for Q3 — I've got 200 rows with listing_count per company group and date, and I want both reports on the listing_count field.”
Spotting outliers in job board inventory
“Can you analyse this batch of 60 job listing inventory rows for me? I need string normalisation and a numeric distribution breakdown on the listing_count field to see if any company groups are way outside the normal range.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-13-022?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need fast, offline statistical analysis of job listing inventory records — specifically string normalisation of categorical fields and numeric distribution metrics for listing_count or duplicate_listings — on batches up to 200 rows, without requiring live data lookups or external integrations. Ideal for data quality checks, reporting pipelines, or pre-processing steps before deeper analytics.
Side effects
- More than 200 rows submitted — request exceeds maxItems limit
- Missing required fields (row_id, company_group, date, listing_count, or duplicate_listings) cause validation errors
- Invalid date format (must match YYYY-MM-DD pattern)
- Invalid field enum value (must be 'listing_count' or 'duplicate_listings')
- All numeric values null — distribution report may be empty or degenerate
- Empty rows array — minItems:1 violation
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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