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On-time Dispatch Share – Adjacent Period Changes
x402
On-time Dispatch Share – Adjacent Period Changes is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-14).
Computes period-over-period changes in on-time dispatch share (on-time dispatches ÷ total dispatches) for retail logistics data across up to 200 records.
Price / call$0.01
Success—
StatusUnknown
How this service works
On-time dispatch share - Adjacent period changes: Adjacent period changes 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 adjacent period changes report.
Output
A bounded report showing the computed on-time dispatch share and its change between adjacent periods for each row pair in the input, based solely on supplied retail dispatch figures (no live rates or platform access).
Example use cases
Monthly dispatch punctuality comparison
“I need to compare on-time dispatch share across three months for our retail operation — month 1 had 500 dispatches with 460 on time, month 2 had 520 dispatches with 489 on time, and month 3 had 510 dispatches with 470 on time. Can you show me the adjacent period changes?”
Weekly logistics performance review
“Can you calculate how our on-time dispatch rate shifted week over week? Last week we had 200 dispatches with 185 on time, and this week we had 215 dispatches with 190 on time.”
Retail seasonal dispatch trend analysis
“We want to track on-time dispatch share changes across four quarterly periods in our retail business — Q1: 1000 dispatches / 920 on time, Q2: 1100 / 1010, Q3: 950 / 865, Q4: 1200 / 1140. What are the adjacent period changes?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ar-retail-dispatch-on-time-period-changes?utm_source=zero.xyzWhen to prefer
Use this endpoint when you need a lightweight, pay-per-call computation of period-over-period changes in on-time dispatch share from retail dispatch data you already have. It is ideal for batch analysis of up to 200 row-pairs without needing platform access, live order data, or custom integrations.
Side effects
- Input array has fewer than 2 rows — minimum 2 rows required
- Rows exceed 200 items — request will be rejected
- dispatches value is 0 or missing — exclusiveMinimum enforces > 0
- on_time_dispatches exceeds dispatches — logically inconsistent but not schema-blocked
- Malformed JSON body — 400 error
- Payment not provided or insufficient — x402 payment required error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array |
Tags
x402
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