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Job Listing Inventories — Quality Audit, Deduplication & Daily Sum Series
x402
Job Listing Inventories — Quality Audit, Deduplication & Daily Sum 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 supplied job listing inventory data: record quality audit, exact row deduplication, and daily sum time series for listing_count or duplicate_listings.
Price / call$0.01
Success—
StatusUnknown
How this service works
Job listing inventories — Record quality audit + Exact row deduplication + Daily sum series: Record quality audit + Exact row deduplication + Daily sum 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
Returns three independent analytical reports: (1) a record quality audit flagging missing, null, or out-of-range values; (2) an exact row deduplication report identifying duplicate rows; and (3) a daily sum time series aggregating the selected numeric field (listing_count or duplicate_listings) by date. All computed locally on supplied data with no external lookups.
Example use cases
Auditing messy job board inventory exports
“I've got a CSV export of our job listing inventory — company groups, dates, listing counts, and duplicate listing numbers. Can you run a quality audit and exact deduplication check on these rows to find any bad records or exact duplicates before I load them into our database? Use listing_count as the primary field.”
Daily trend analysis for recruitment platform
“Can you compute a daily sum series for listing_count from these job listing inventory records across our company groups? I want to see how total listings added up each day and also get a quality audit on the data to catch any nulls or anomalies. Here are 150 rows covering the past quarter.”
Deduplication QA before executive reporting
“Before I send our weekly job listing report to the exec team, can you run exact row deduplication and a record quality audit on this dataset of about 80 rows? The fields are row_id, company_group, date, listing_count, and duplicate_listings — I need to make sure there are no duplicate entries or quality issues.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-13-215?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need offline, supply-side data quality checks on job listing inventory records — specifically when you want all three reports (quality audit + deduplication + daily sum series) in a single $0.01 call. Ideal for pre-ingestion validation pipelines, weekly QA checks before reporting, or investigating data anomalies in listing count or duplicate listing fields. Not suitable for real-time lookups, external data enrichment, or datasets exceeding 200 rows per call.
Side effects
- Exceeding 200 rows returns an error — batching required for larger datasets
- Missing required fields (row_id, date, listing_count, duplicate_listings) causes validation failure
- Malformed date strings not matching YYYY-MM-DD pattern are rejected
- Numeric values outside ±1,000,000,000,000 range rejected
- Empty rows array returns an error
- Payment of 0.01 USDC must be included via x402 protocol or call is rejected
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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