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Job Listing Inventories — Record Quality Audit + Two-Measure Correlation
x402
Job Listing Inventories — Record Quality Audit + 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 2026-10-15).
Audits data quality and computes a two-measure correlation between listing_count and duplicate_listings for up to 200 rows of job listing inventory data.
Price / call$0.01
Success—
StatusUnknown
How this service works
Job listing inventories — Record quality audit + Two-measure correlation: Record quality audit + Two-measure correlation 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 independent analytical reports: (1) a record quality audit identifying issues such as nulls, out-of-range values, and anomalies in the supplied rows; and (2) a two-measure correlation report quantifying the statistical relationship between listing_count and duplicate_listings across the dataset. Results are computed locally with no external lookups.
Example use cases
Recruiter data quality check
“I have a spreadsheet of job listing inventory records for two company groups over the past quarter — can you audit them for data quality issues and show me if the number of duplicate listings is correlated with total listing count? Each row has a row_id, company_group, date, listing_count, and duplicate_listings.”
HR analytics pipeline validation
“Before I load these 150 job listing rows into our dashboard, can you run a record quality audit and calculate the correlation between listing_count and duplicate_listings so I can catch any bad data early?”
Competitive benchmarking data review
“We scraped job listing counts and duplicate listing counts from multiple company groups last month — can you check the record quality and tell me how strongly those two measures are correlated across all the rows?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-13-015?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both a data quality audit and a Pearson/correlation analysis on job listing inventory data in a single low-cost call. It is ideal for preprocessing pipelines that ingest scraped or manually entered job listing records and need to validate integrity before downstream use. Prefer this over general-purpose analytics tools when you specifically have listing_count and duplicate_listings fields and want a structured two-report output at minimal cost ($0.01 USDC for up to 200 rows).
Side effects
- Fewer than 1 row submitted returns a validation error
- More than 200 rows submitted exceeds the row limit and will be rejected
- Rows missing required fields (row_id, company_group, date, listing_count, duplicate_listings) will fail schema validation
- Date strings not matching YYYY-MM-DD pattern will be rejected
- Numeric values outside the allowed range (-1T to 1T) will fail
- If all listing_count or duplicate_listings values are null, correlation cannot be computed
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array |
Tags
x402
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