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Job Listing Inventories — IQR Outlier Flags + Date by Category Pivot
x402
Job Listing Inventories — IQR Outlier Flags + Date by Category Pivot 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).
Analyzes supplied job listing inventory records to produce IQR-based outlier flags and a date-by-category pivot table for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Job listing inventories — IQR outlier flags + Date by category pivot: IQR outlier flags + Date by category pivot 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 reports: (1) IQR outlier flags indicating which rows contain statistically anomalous values for the selected field (listing_count or duplicate_listings), and (2) a date-by-category pivot table aggregating the selected field across company groups and dates. Results are computed locally from supplied data only, with no external lookups.
Example use cases
Flagging unusual listing volumes by company
“I have a spreadsheet of job listing counts and duplicate listing counts by company group across the past few months — can you flag any rows that look like statistical outliers using IQR, and give me a pivot showing listing_count by date and company group?”
Data quality check before reporting
“Before I send this job listing inventory report, can you run it through IQR outlier detection on the duplicate_listings field and also produce a date-by-category pivot so I can spot any weird spikes or data entry errors across our company groups?”
Monitoring recruitment platform anomalies
“We're seeing some strange patterns in our job board inventory numbers — can you analyze these records by company group and date, flag any listing_count values that fall outside the IQR range, and pivot the data by date and group so I can see what's off?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-13-178?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have tabular job listing inventory data (up to 200 rows) and need both IQR-based statistical outlier detection and a date-by-category pivot in a single low-cost call. Prefer it over general-purpose analytics tools when the data is already structured with company_group, date, listing_count, and duplicate_listings fields and you want deterministic, reproducible statistical analysis without any live data fetching or external dependencies.
Side effects
- Fewer than 1 row supplied — minimum row count not met
- More than 200 rows submitted — exceeds maximum batch size
- Missing required fields (row_id, company_group, date, listing_count, duplicate_listings) on any row
- Date field does not match YYYY-MM-DD format — rejected by pattern validation
- Numeric fields outside allowed range (±1,000,000,000,000)
- Invalid field enum value — must be 'listing_count' or 'duplicate_listings'
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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