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Job Listing Inventories — Numeric Distribution + IQR Outlier Flags
x402
Job Listing Inventories — Numeric Distribution + 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 2026-10-15).
Computes numeric distribution statistics and IQR-based outlier flags for job listing inventory fields (listing_count or duplicate_listings) across up to 200 supplied rows, producing two independent analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Job listing inventories — Numeric distribution + IQR outlier flags: Numeric distribution + 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: (1) a numeric distribution summary (e.g. min, max, mean, median, quartiles, std dev) for the selected field across all supplied rows, and (2) IQR-based outlier flags identifying which rows fall outside the interquartile range boundaries — all computed locally on the supplied data with no external lookups.
Example use cases
Detect outlier listing counts by company
“I have 150 rows of job listing inventory records across multiple company groups — can you run numeric distribution analysis and IQR outlier detection on the listing_count field so I can see which companies have abnormally high or low counts?”
Audit duplicate listings for anomalies
“Please analyze the numeric distribution and flag any IQR outliers in the duplicate_listings field from my job board inventory dataset — I want to identify which dates or groups have suspiciously high duplication.”
Statistical summary for recruitment reporting
“Can you give me a full numeric distribution report with IQR outlier flags for the listing_count field across these job inventory records for Q4 2026? I'll paste up to 200 rows of company group data.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-13-080?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have a batch of job listing inventory records (up to 200 rows) and need both a numeric distribution summary and IQR-based outlier detection in a single call for either listing_count or duplicate_listings. Prefer it over general-purpose analytics tools when working specifically with job board or recruitment inventory data structured around company groups and dates. It is a stateless, offline computation with no external data dependencies, making it reliable and deterministic for audit and QA workflows.
Side effects
- More than 200 rows submitted — exceeds maxItems limit, request rejected
- Missing required fields (row_id, company_group, date, listing_count, duplicate_listings) — validation error
- Invalid date format (not YYYY-MM-DD pattern) — schema validation failure
- Field selector not one of 'listing_count' or 'duplicate_listings' — enum validation error
- All values null for the selected field — distribution computation may be undefined or empty
- Payment not included or insufficient — x402 payment required error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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