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Damaged Stock IQR Outlier Flags + Secondary-Measure Weighted Mean
x402
Damaged Stock IQR Outlier Flags + Secondary-Measure Weighted Mean is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-24).
Runs IQR-based outlier detection and secondary-measure weighted mean analysis on up to 200 rows of damaged stock records (handled_units, damaged_units), returning two independent analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Damaged stock — IQR outlier flags + Secondary-measure weighted mean: IQR outlier flags + Secondary-measure weighted mean for supplied damaged stock records (handled_units, damaged_units). 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: (1) IQR outlier flags identifying which of the up to 200 submitted rows are statistical outliers based on interquartile range for the selected field, and (2) a secondary-measure weighted mean computed across the supplied damaged stock records. No external lookups or predictions are made — all analysis is performed locally on the submitted data.
Example use cases
Weekly damage audit across store groups
“I've got this week's damaged stock records for our store groups — each row has a row ID, store group, date, handled units, and damaged units. Can you flag any IQR outliers and compute the weighted mean on the damaged_units field so I can identify which groups had abnormal damage this week?”
Identify anomalous warehouse damage events
“Here are 150 rows of warehouse damage logs across several distribution centers. Run IQR outlier detection and a weighted mean analysis on handled_units so I can spot any days or locations where handling was statistically unusual.”
Quality control check on retail damage data
“Before I present these damaged stock numbers to management, can you run the IQR outlier flags and secondary-measure weighted mean on the damaged_units field for all 80 rows so I know which records are statistical anomalies I should double-check?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-retail-18-177?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 rows of damaged stock records and need both IQR-based outlier detection and a weighted mean computation in a single paid call. It is purpose-built for retail/warehouse damage data with handled_units and damaged_units fields, and delivers two bundled statistical reports cheaply ($0.01 USDC). Prefer it over generic statistics tools when your data fits the retail damaged-stock schema and you want a structured, reproducible output without setting up a local analytics pipeline.
Side effects
- Submitting more than 200 rows returns an error or truncation
- Missing required fields (row_id, date, handled_units, damaged_units) causes validation failure
- Invalid date format (not YYYY-MM-DD) rejected by schema
- Null values for both handled_units and damaged_units on a row may produce incomplete statistical results
- Payment of 0.01 USDC not completed results in 402 response and no analysis
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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