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Job Listing Inventories — Numeric Interval Filter + IQR Outlier Flags
x402
Job Listing Inventories — Numeric Interval Filter + 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).
Applies numeric interval filtering and IQR-based outlier detection to job listing inventory records (listing_count, duplicate_listings), producing two analytical reports for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Job listing inventories — Numeric interval filter + IQR outlier flags: Numeric interval filter + 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 independent analytical reports per call: (1) rows from the supplied dataset that fall within the specified numeric interval for the chosen field, and (2) IQR-based outlier flags identifying which rows contain statistically anomalous values in the chosen field. Both reports operate on the same supplied data locally with no external lookups.
Example use cases
Spot duplicate listing spikes by company
“I have 50 rows of job listing inventory data by company group and date. Run the IQR outlier detection on the duplicate_listings field with a minimum of 0 and maximum of 500 so I can see which companies are spiking abnormally.”
Filter listing counts within expected range
“Here are 120 rows of our daily job listing counts across groups. Filter them so I only see rows where listing_count is between 10 and 2000, and flag any IQR outliers in listing_count too — I need both reports.”
Audit recruitment data quality before reporting
“Before I publish our weekly recruitment report, run interval filtering (minimum 0, maximum 50000) and IQR outlier flagging on duplicate_listings for these 80 company inventory rows so I can catch any bad data points.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-13-130?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need fast, self-contained statistical analysis of job listing inventory data — specifically numeric range filtering combined with IQR outlier detection — without any external data lookups or live predictions. It is ideal for data quality audits, pre-report sanity checks, or flagging anomalies in listing_count or duplicate_listings across company groups, especially when you have up to 200 rows and want two distinct analytical views in a single low-cost call.
Side effects
- Supplying more than 200 rows returns an error or truncation
- Missing required fields (row_id, date, listing_count, duplicate_listings) causes validation failure
- Invalid date format (not YYYY-MM-DD) causes row rejection
- Minimum value greater than maximum value may produce empty interval results
- Null numeric values may be excluded from outlier computation
- Network or payment failure results in no reports returned
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| maximum | number | |
| minimum | number |
Tags
x402
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