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Job Listing Inventories — Record Quality Audit, String Normalisation & Numeric Interval Filter
x402
Job Listing Inventories — Record Quality Audit, String Normalisation & Numeric Interval Filter 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 supplied job listing inventory data: record quality audit, string normalisation, and numeric interval filtering for listing_count or duplicate_listings fields across up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Job listing inventories — Record quality audit + String normalisation + Numeric interval filter: Record quality audit + String normalisation + Numeric interval filter 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 missing, malformed, or out-of-range values; (2) a string normalisation report standardising company_group and other text fields; and (3) a numeric interval filter report identifying which rows have the selected numeric field (listing_count or duplicate_listings) within the specified minimum/maximum bounds. All reports are computed locally using shared analytical engines on the submitted rows.
Example use cases
Monthly job board data quality check
“I have a batch of 150 job listing inventory rows for October by company group — can you run a record quality audit, string normalisation, and filter on listing_count between 0 and 1000 to flag anything suspicious?”
Duplicate listing anomaly detection
“Can you audit and normalise these job listing records and filter on duplicate_listings between 0 and 50 so I can spot which company groups have suspiciously high duplicate counts?”
Pre-analysis data cleaning for recruitment dashboard
“Before I load this job listing dataset into my dashboard, can you run a quality audit and string normalisation on the company_group field and filter listing_count to only rows between 5 and 200?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-13-197?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 rows of job listing inventory data and need three bundled local analytical operations — quality audit, string normalisation, and numeric range filtering — without requiring any live lookups, external enrichment, or real-time predictions. It is cost-effective at $0.01 USDC for all three reports simultaneously and is best suited for pre-processing or validation steps before loading recruitment or job board data into downstream analytics.
Side effects
- Submitting more than 200 rows returns an error
- Invalid date format (not YYYY-MM-DD) causes validation failure
- Missing required fields (row_id, company_group, date, listing_count, duplicate_listings) causes rejection
- Minimum value greater than maximum value may produce empty filter results
- Non-numeric values in listing_count or duplicate_listings fields cause processing errors
- Payment of less than 0.01 USDC results in request rejection
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| maximum | number | |
| minimum | number |
Tags
x402
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