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Job Listing Inventories — Record Quality Audit + String Normalisation + Adjacent Row Changes
x402
Job Listing Inventories — Record Quality Audit + String Normalisation + Adjacent Row Changes is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-17).
Runs three local analytical reports (record quality audit, string normalisation, and adjacent row changes) on up to 200 rows of job listing inventory data containing listing_count and duplicate_listings fields.
Price / call$0.01
Success—
StatusUnknown
How this service works
Job listing inventories — Record quality audit + String normalisation + Adjacent row changes: Record quality audit + String normalisation + Adjacent row changes 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 generated from the supplied rows: (1) a record quality audit flagging missing, null, or malformed values; (2) a string normalisation report standardising text fields like company_group; and (3) an adjacent row changes report showing value differences between consecutive rows for the selected numeric field (listing_count or duplicate_listings). No external data is fetched; all analysis is local.
Example use cases
Weekly job board data quality check
“I've got a batch of job listing inventory rows for our recruitment platform — can you audit the record quality, normalise the company group strings, and flag any adjacent row changes in listing_count across up to 150 rows of data?”
Duplicate listing anomaly detection
“Run the three-report analysis on my job listing inventory records — I want to see the quality audit, string normalisation, and row-over-row changes specifically for the duplicate_listings field across these 80 rows.”
Multi-company listing inventory audit
“I need to audit job listing inventory data for several company groups — can you do the record quality check, string normalisation, and adjacent row change detection on these 200 rows, looking at listing_count as the main field?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-13-200?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 rows of job listing inventory data and need three simultaneous local analytical reports — record quality audit, string normalisation, and adjacent row changes — in a single low-cost call ($0.01 USDC). Prefer it over general-purpose data tools when the input schema matches exactly (listing_count and duplicate_listings fields with date and company_group grouping) and no live data lookup or external enrichment is required.
Side effects
- Exceeding 200 rows returns an error or truncated response
- Rows missing required fields (row_id, date, company_group) cause validation failure
- Invalid date format (not YYYY-MM-DD) may cause parsing errors
- Supplying an invalid field enum value (not listing_count or duplicate_listings) causes rejection
- Empty rows array returns an error (minItems: 1)
- Numeric values outside allowed range may be rejected
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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