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Job Listing Inventories — Record Quality Audit + String Normalisation + Duplicate Key Report
x402
Job Listing Inventories — Record Quality Audit + String Normalisation + Duplicate Key Report 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 local analytical reports on job listing inventory data: a record quality audit, string normalisation, and duplicate key detection — for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Job listing inventories — Record quality audit + String normalisation + Duplicate key report: Record quality audit + String normalisation + Duplicate key report 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 identifying missing, malformed, or out-of-range values; (2) a string normalisation report showing cleaned/standardised text fields; and (3) a duplicate key report identifying rows with repeated keys across the supplied dataset. All computed locally with no external lookups.
Example use cases
Recruitment data pipeline quality check
“I've got a batch of job listing inventory records from our ATS export — can you audit them for record quality issues, normalise any inconsistent strings in the company_group field, and flag any duplicate keys across all rows?”
HR analytics data validation
“Before we load these job listing counts into our dashboard, can you run a quality audit and duplicate key report on this dataset of 120 rows covering multiple company groups and dates?”
Job board deduplication audit
“We're seeing weird numbers in our listing_count metrics — can you check this job listing inventory data for duplicated row IDs and also do a string normalisation pass on the company_group names so we can trust the groupings?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-13-192?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need offline, deterministic data quality analysis on job listing inventory records without any live lookups or external data enrichment. It's ideal for pre-ingestion pipeline validation, ETL auditing, and quick data health checks on batches of up to 200 rows. Prefer it over general-purpose data tools when you specifically need all three reports (quality audit, string normalisation, duplicate keys) bundled at low cost.
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) cause row-level errors
- Invalid date format (not YYYY-MM-DD) triggers validation failure
- Empty rows array returns an error
- Numeric values outside ±1,000,000,000,000 range rejected by schema
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array |
Tags
x402
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