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Job Listing Inventories — Record Quality Audit + String Normalisation + Two-Measure Correlation
x402
Job Listing Inventories — Record Quality Audit + String Normalisation + Two-Measure Correlation is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-16).
Runs three analytical reports (record quality audit, string normalisation, and two-measure correlation) on up to 200 rows of job listing inventory data containing listing_count and duplicate_listings fields.
Price / call$0.01
Success—
StatusUnknown
How this service works
Job listing inventories — Record quality audit + String normalisation + Two-measure correlation: Record quality audit + String normalisation + Two-measure correlation 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
Three independent analytical reports: (1) a record quality audit flagging completeness, validity, and consistency issues across rows; (2) a string normalisation report standardising company_group and other string fields; and (3) a two-measure correlation report quantifying the statistical relationship between listing_count and duplicate_listings. All computed locally with no external lookups.
Example use cases
Duplicate listing rate investigation
“I have a dataset of 50 job listing records across two company groups — TechCorp and RetailGroup — with dates and counts of total listings and duplicates for each day in Q3. Can you audit the record quality, normalise the company group strings, and show me the correlation between listing_count and duplicate_listings?”
Monthly job board data cleanup
“We pulled our monthly job board inventory — 120 rows with row IDs, company groups, dates, listing counts, and duplicate counts. Can you run a quality audit on the records, normalise the string fields, and correlate listing volume with duplicate frequency so we know if busier periods generate more duplication?”
Multi-company listing inventory QA
“Before we send our job listing inventory report to stakeholders, can you check these 80 rows for record quality issues, clean up any inconsistent company group strings, and measure how strongly our duplicate_listings numbers correlate with listing_count across the dataset?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-13-204?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have structured job listing inventory data (with listing counts and duplicate counts per company group and date) and need offline, privacy-safe analytical reports without any external data lookups or live predictions. Ideal for data quality pipelines, pre-reporting audits, or when you want correlation insights between listing volume and duplication rate for up to 200 rows at very low cost ($0.01 USDC for all three reports).
Side effects
- More than 200 rows submitted — request rejected due to row limit
- Missing required fields (row_id, date, listing_count, or duplicate_listings) — validation error
- Date field does not match YYYY-MM-DD pattern — schema validation failure
- All listing_count or duplicate_listings values are null — correlation report cannot be computed
- Empty rows array — minimum 1 row required
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array |
Tags
x402
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