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Job Listing Inventories — Exact Row Deduplication + IQR Outlier Flags
x402
Job Listing Inventories — Exact Row Deduplication + IQR Outlier Flags is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-19).
Deduplicates exact rows and flags IQR-based outliers across listing_count and duplicate_listings fields in supplied job listing inventory records (up to 200 rows, 2 reports per call).
Price / call$0.01
Success—
StatusUnknown
How this service works
Job listing inventories — Exact row deduplication + IQR outlier flags: Exact row deduplication + IQR outlier flags 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 per call: (1) an exact row deduplication report identifying which of the submitted rows (up to 200) are duplicates, and (2) an IQR outlier flagging report identifying records whose listing_count or duplicate_listings values fall outside the interquartile range bounds. No external data is fetched; all analysis is performed on the supplied rows only.
Example use cases
Cleaning recruiter platform listing exports
“I exported job listing counts by company group for the past month and suspect there are duplicate rows and some companies with weirdly high or low listing counts — can you run exact row deduplication and IQR outlier detection on listing_count for these records?”
Auditing duplicate listings anomalies
“Here are 120 rows of job listing inventory with company_group, date, and duplicate_listings values — please deduplicate the exact rows and flag any outliers in the duplicate_listings field using IQR so I can see which entries are suspicious.”
Data quality check before pipeline ingestion
“Before I load this job listing inventory data into our pipeline, I need you to deduplicate it and identify statistical outliers in listing_count — I have about 80 rows with row_id, company_group, date, listing_count, and duplicate_listings.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-13-049?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have job listing inventory tabular data (up to 200 rows) and need both exact-row deduplication and IQR-based outlier detection in a single low-cost call ($0.01 USDC). It is ideal for offline/batch data quality checks on listing_count or duplicate_listings fields without needing any live data lookup or external enrichment. Prefer it over general-purpose data tools when working specifically with the job listing inventory schema (company_group, date, listing_count, duplicate_listings).
Side effects
- Exceeding 200 rows returns an error or truncated results
- Missing required fields (row_id, company_group, date, listing_count, duplicate_listings) cause validation failure
- Null values in the selected numeric field may reduce IQR calculation accuracy
- Invalid date format (not YYYY-MM-DD) causes schema rejection
- Empty rows array fails minItems:1 constraint
- Submitting only 1-3 rows may make IQR outlier detection statistically meaningless
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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