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Job Listing Inventories — String Normalisation + Duplicate Key Report
x402
Job Listing Inventories — 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 2026-10-23).
Normalises strings and generates a duplicate key report for supplied job listing inventory records (listing_count, duplicate_listings) — up to 200 rows, two independent analytical reports per call.
Price / call$0.01
Success—
StatusUnknown
How this service works
Job listing inventories — String normalisation + Duplicate key report: String normalisation + Duplicate key report 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
Returns two independent analytical reports: (1) a string normalisation report covering the company_group and date fields, and (2) a duplicate key report identifying records with duplicate keys across the supplied rows — both computed locally from the submitted data, with no external lookups.
Example use cases
Recruitment data deduplication audit
“I've got a job listing inventory dataset across multiple company groups and I need to find any duplicate listing records — can you run a duplicate key report on these rows? I have data for group-a and group-b from October 2026 with listing_count and duplicate_listings values for each day.”
String normalisation for job board exports
“Can you normalise the string fields in my job listing inventory export? I have company_group names and dates that may have inconsistent formatting — here are my rows with row_id, company_group, date, listing_count, and duplicate_listings, up to about 150 records.”
Inventory quality check before reporting
“Before I send our weekly job listing inventory report to the stakeholders, can you check these 80 rows for duplicate keys and normalise any inconsistent string values? Each row has a row_id, company_group, date, listing_count, and duplicate_listings field.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-13-021?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both string normalisation and duplicate key detection on job listing inventory data in a single call, for up to 200 rows, without requiring any external data lookup or live prediction. It is ideal for pre-report data quality checks on recruitment or HR inventory datasets where you have listing_count and duplicate_listings fields per company group and date.
Side effects
- More than 200 rows submitted — exceeds maxItems limit, request rejected
- Missing required fields (row_id, company_group, date, listing_count, or duplicate_listings) — validation error
- Invalid date format (must match YYYY-MM-DD pattern) — schema validation failure
- listing_count or duplicate_listings values outside allowed numeric range — rejected
- Empty rows array (minItems: 1 not met) — validation error
- Payment not included or insufficient — x402 payment required response
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array |
Tags
x402
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