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Damaged Stock Numeric Distribution and Trailing Mean Series Analyzer
x402
Damaged Stock Numeric Distribution and Trailing Mean Series Analyzer is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-25).
Computes numeric distribution statistics and a trailing mean time series for supplied damaged stock records (handled_units and damaged_units) across up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Damaged stock — Numeric distribution + Trailing mean series: Numeric distribution + Trailing mean series 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 for the supplied dataset: (1) a numeric distribution summary of the selected field (handled_units or damaged_units), and (2) a trailing mean time series computed over the specified rolling window — both derived entirely from the submitted rows with no external data or predictions.
Example use cases
Retail chain damage rate analysis
“I have 120 rows of daily stock handling data across three store groups from the past quarter — can you calculate a numeric distribution and a rolling mean with window 14 for damaged_units so I can see how damage rates are spread and trending?”
Warehouse monthly trailing mean review
“Run a trailing mean series with a window of 7 on my handled_units data for October — I've got about 80 rows with dates, store groups, and unit counts and I want to see the smoothed trend over time.”
Damaged inventory statistical summary
“I want to understand the distribution of damaged_units across my 60-row dataset of store group records from last month — can you produce a numeric distribution report alongside a trailing mean series using a window of 4?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-retail-18-076?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have raw damaged stock records (handled_units, damaged_units) and need both a distribution overview and a smoothed rolling mean trend in a single low-cost call. Ideal for retail or warehouse analysts who want offline, self-contained statistical summaries without any external lookup, live data, or prediction — especially when working with datasets of up to 200 rows at minimal cost ($0.01 USDC for both reports).
Side effects
- Fewer than 1 row submitted — minimum row count not met
- More than 200 rows submitted — exceeds maximum row limit
- Missing required fields (row_id, store_group, date, handled_units, damaged_units) — validation error
- Date field not matching YYYY-MM-DD format — pattern validation failure
- Window size outside 2–200 range — parameter validation error
- Null values in numeric fields may affect distribution or mean calculations
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| window | integer |
Tags
x402
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