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Job Listing Inventories — Record Quality Audit & String Normalisation
x402
Job Listing Inventories — Record Quality Audit & String Normalisation 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 record quality and normalises strings for up to 200 rows of job listing inventory data (listing_count, duplicate_listings), producing two independent analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Job listing inventories — Record quality audit + String normalisation: Record quality audit + String normalisation 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 independent reports: (1) a record quality audit identifying issues such as missing values, out-of-range numbers, malformed dates, and anomalous listing counts or duplicate rates; (2) a string normalisation report showing standardised or corrected versions of string fields such as company_group. Both reports cover up to 200 supplied rows and are generated locally without external lookups.
Example use cases
Pre-pipeline data quality gate
“Before I load this batch of job listing records into our data warehouse, can you run a record quality audit and string normalisation on these 150 rows? Each row has a row_id, company_group, date, listing_count, and duplicate_listings — flag anything that looks malformed or inconsistent.”
Duplicate listing rate investigation
“I've got 80 rows of job listing inventory data across several company groups and I'm seeing weirdly high duplicate_listings numbers. Can you audit the record quality and normalise the company_group strings so I can see where the duplication issues are concentrated?”
Monthly recruiter data hygiene check
“At the end of each month I want to clean up our job listing inventory snapshot. Here are 200 rows with row_id, company_group, date, listing_count, and duplicate_listings — please run both the quality audit and the string normalisation report so I can spot any bad records before archiving.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-13-001?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a fast, low-cost, offline quality audit and string normalisation pass on job listing inventory records (up to 200 rows) without requiring live lookups, predictions, or external integrations. Ideal as a pre-processing or data hygiene step before analytics pipelines, database loads, or reporting.
Side effects
- More than 200 rows submitted — request will be rejected or truncated
- Missing required fields (row_id, company_group, date, listing_count, duplicate_listings) on any row causes validation errors
- Malformed date strings not matching YYYY-MM-DD pattern rejected by schema
- Numeric values outside allowed range (-1e12 to 1e12) rejected
- Empty rows array returns an error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array |
Tags
x402
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