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Job Listing Inventories — Record Quality Audit + String Normalisation + Secondary-Measure Weighted Mean
x402
Job Listing Inventories — Record Quality Audit + String Normalisation + Secondary-Measure Weighted Mean 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 on job listing inventory data: record quality audit, string normalisation, and secondary-measure weighted mean for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Job listing inventories — Record quality audit + String normalisation + Secondary-measure weighted mean: Record quality audit + String normalisation + Secondary-measure weighted mean 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 returned in a single response: (1) a record quality audit flagging anomalies or missing values in the supplied rows, (2) string normalisation results for text fields such as company_group, and (3) a secondary-measure weighted mean computed over the selected numeric field (listing_count or duplicate_listings). All computed locally from the supplied data — no external lookups.
Example use cases
Auditing recruiter job listing data quality
“I have a CSV of job listing counts and duplicate listings across multiple company groups over the past week — can you run a quality audit and string normalisation on it so I can spot bad records before we import it into our dashboard?”
Weighted mean for duplicate listing analysis
“I need the secondary-measure weighted mean for duplicate_listings across these four company groups for October — here are the rows with listing_count and duplicate_listings values. Can you run that report?”
Cleaning job inventory export before reporting
“We pulled a job inventory export with listing_count and duplicate_listings for group-a and group-b and there are some messy string fields. Can you normalise the strings and give me a quality audit so we know what's usable before the Monday report?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-13-205?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need three combined analytical operations — quality audit, string normalisation, and weighted mean — on job listing inventory data in a single low-cost call. It is best when you have up to 200 rows of listing_count and duplicate_listings data per company group and want batch local analysis without external dependencies or live lookups.
Side effects
- More than 200 rows submitted — request exceeds row limit and will be rejected
- Missing required fields (row_id, date, company_group) cause validation errors
- Invalid date format (not YYYY-MM-DD) triggers schema validation failure
- Numeric values outside the allowed range cause rejection
- Empty rows array returns an error
- Invalid field enum value (not listing_count or duplicate_listings) causes failure
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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