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Job Listing Inventories — Record Quality Audit + Exact Row Deduplication + Base-100 Series
x402
Job Listing Inventories — Record Quality Audit + Exact Row Deduplication + Base-100 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: a record quality audit, exact row deduplication, and a base-100 indexed time series — all locally, with no external lookups.
Price / call$0.01
Success—
StatusUnknown
How this service works
Job listing inventories — Record quality audit + Exact row deduplication + Base-100 series: Record quality audit + Exact row deduplication + Base-100 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 reports: (1) a record quality audit flagging missing, null, or malformed values across the supplied rows; (2) an exact row deduplication report identifying identical records; and (3) a base-100 indexed series for the selected numeric field (listing_count or duplicate_listings) anchored to the specified base row. All computed locally from the supplied data, no external lookups performed.
Example use cases
Quarterly job listing data cleanup
“I have a dataset of job listing counts by company group across Q4 — can you audit the record quality, find any exact duplicate rows, and build a base-100 series starting from the first row using listing_count? Here are the rows with row_id, company_group, date, listing_count, and duplicate_listings.”
Duplicate posting detection for recruitment team
“Our recruitment team suspects there are duplicate entries in our job listing inventory export. Can you run an exact row deduplication report plus a record quality audit on these rows? The dataset has company_group, date, listing_count, and duplicate_listings columns.”
Indexed trend analysis of duplicate listings
“I want to see how our duplicate_listings metric has trended relative to a baseline — can you generate a base-100 series using duplicate_listings as the field, with row index 2 as the base, and also run the quality audit and deduplication check on the same data?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-13-218?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 rows of job listing inventory data and need all three of a quality audit, deduplication check, and base-100 indexed series in a single low-cost call ($0.01 USDC). Ideal when you want purely local, deterministic analysis with no external data lookups, predictions, or live enrichment. Prefer alternatives if you need more than 200 rows, live job market data, or predictive analytics.
Side effects
- Fewer than 1 row supplied — request rejected
- More than 200 rows supplied — exceeds maximum row limit
- Invalid date format (not YYYY-MM-DD) — schema validation failure
- base_index out of range (>= number of rows supplied) — index error
- Required fields (row_id, company_group, date, listing_count, duplicate_listings) missing from row objects — validation error
- Non-numeric or out-of-range values for listing_count or duplicate_listings — schema rejection
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| base_index | integer |
Tags
x402
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