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Job Listing Inventories — Grouped Numeric Summary + IQR Outlier Flags
x402
Job Listing Inventories — Grouped Numeric Summary + 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).
Computes grouped numeric summary statistics and IQR-based outlier flags for job listing inventory data (listing_count, duplicate_listings) across up to 200 rows, producing two analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Job listing inventories — Grouped numeric summary + IQR outlier flags: Grouped numeric summary + 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
Two analytical reports per call: (1) a grouped numeric summary (e.g. mean, median, min, max, count) of the selected field (listing_count or duplicate_listings) broken down by company_group, and (2) IQR-based outlier flags identifying which rows contain values outside the interquartile range — all computed locally without external lookups.
Example use cases
Detect duplicate listing spikes by company
“I have daily job listing records for four company groups over the past quarter — can you summarize duplicate_listings by company_group and flag any IQR outliers so I can see which companies have suspiciously high duplication rates?”
Audit listing volume across recruitment partners
“Here's my job board inventory data with listing_count per company group and date — can you give me a grouped numeric summary and highlight any listing_count values that are statistical outliers based on IQR?”
Monitor job platform inventory anomalies
“I'm tracking listing_count across multiple company groups in my recruitment platform. Can you compute the grouped stats and IQR outlier flags for these 150 rows so I can identify which groups have abnormal inventory levels?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-13-094?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have job listing inventory records with listing_count or duplicate_listings metrics and need grouped descriptive statistics plus IQR outlier detection across company groups — all from supplied data without any external lookups or predictions. Best suited for batch analytical tasks on up to 200 rows where cost-efficiency matters ($0.01 USDC for two reports).
Side effects
- Missing required fields (row_id, company_group, date, listing_count, duplicate_listings) causes validation failure
- More than 200 rows submitted exceeds the per-call limit
- Invalid date format (must match YYYY-MM-DD pattern) causes row rejection
- Null values in numeric fields may reduce statistical accuracy
- Invalid field enum value (must be 'listing_count' or 'duplicate_listings') causes parameter error
- Empty rows array returns error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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