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Job Listing Inventories — Record Quality Audit, String Normalisation & Trailing Mean Series
x402
Job Listing Inventories — Record Quality Audit, String Normalisation & Trailing Mean Series 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 trailing mean series computation, for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Job listing inventories — Record quality audit + String normalisation + Trailing mean series: Record quality audit + String normalisation + Trailing mean series 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 data issues in the supplied rows, (2) a string normalisation report cleaning text fields, and (3) a trailing mean series for the selected numeric field (listing_count or duplicate_listings) computed over the specified window size — all based solely on the submitted data with no external lookups.
Example use cases
Weekly data quality check on job listings
“Audit the quality of these 50 job listing inventory records for our company groups — check for bad strings and compute a trailing mean with window 4 on listing_count so I can spot trends.”
Duplicate listings trend analysis
“Run a trailing mean series with a window of 5 on the duplicate_listings field for these 120 rows of job inventory data, and also give me the record quality and string normalisation reports.”
Pre-pipeline data cleaning for HR dashboard
“Before I load this job listing inventory data into our dashboard, can you run a record quality audit and string normalisation on these 80 rows, plus a trailing mean on listing_count with window size 3?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-13-199?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a bundled, low-cost ($0.01 USDC) set of three analytical passes — quality audit, string normalisation, and trailing mean — applied to job listing inventory data in a single call. It is ideal for small-to-medium datasets (up to 200 rows) where you want offline/local analysis without external lookups or predictions. Prefer alternatives if you need real-time data fetching, ML-based forecasting, or datasets larger than 200 rows.
Side effects
- Exceeding 200 rows returns an error or truncation
- Missing required fields (row_id, date, listing_count, duplicate_listings) causes validation failure
- Invalid date format (non YYYY-MM-DD) triggers schema rejection
- Window size outside 2–200 range is rejected
- Null-only numeric fields may produce empty trailing mean series
- Payment not included or insufficient USDC causes request rejection
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| window | integer |
Tags
x402
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