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On-time Dispatch Share – Rolling Mean Report
x402
On-time Dispatch Share – Rolling Mean Report is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-16).
Computes a rolling mean of on-time dispatch share (on-time dispatches / total dispatches) over a sliding window for up to 200 retail dispatch records.
Price / call$0.01
Success—
StatusUnknown
How this service works
On-time dispatch share - Rolling mean report: Rolling mean report for On-time dispatch share. Supplied retail figures only, up to 200 records. No platform access, live rates or order execution. One of 25 new profiles across 20 shared operations in this industry. 0.01 USDC includes one bounded rolling mean report report.
Output
Returns a rolling mean series of on-time dispatch share values (on-time dispatches ÷ total dispatches), smoothed over the specified window size, covering up to 200 input row records. Each output value represents the average dispatch punctuality rate over the rolling window.
Example use cases
Retail dispatch performance trend analysis
“I have weekly dispatch data for my retail chain — 8 weeks of total dispatches and on-time dispatches. Can you smooth it out with a rolling mean using a window of 3 so I can see the trend in our on-time dispatch share without all the week-to-week noise?”
Fulfillment SLA monitoring dashboard
“For my fulfillment SLA dashboard, I need a rolling average on-time dispatch rate over a 5-period window for these 20 data points — here are the dispatch totals and on-time counts for each period. Can you run the rolling mean report?”
Seasonal dispatch punctuality comparison
“Can you calculate the rolling mean on-time dispatch share across these 50 dispatch records from our peak season, using a window of 4? I want to see where our punctuality was consistently strong vs where it dipped.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ar-retail-dispatch-on-time-rolling?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a smoothed rolling average of on-time dispatch share specifically for retail dispatch data (up to 200 records) and want a lightweight, pay-per-call computation without needing a full analytics platform. Best suited for periodic reporting, trend smoothing, and SLA dashboards where raw period-to-period variance needs to be reduced.
Side effects
- Fewer than 2 rows provided — minimum input size not met
- Window size larger than number of rows — computation not possible
- dispatches value is zero or missing — division by zero or schema violation
- on_time_dispatches exceeds dispatches — logically inconsistent input, may produce rates above 1
- More than 200 rows submitted — maxItems exceeded, request rejected
- Non-numeric values in dispatch fields — schema validation failure
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| window | integer |
Tags
x402
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