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On-time Dispatch Share Distribution Histogram
x402
On-time Dispatch Share Distribution Histogram is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-17).
Generates a distribution histogram of on-time dispatch share rates from supplied retail dispatch records, bucketed into configurable bins.
Price / call$0.01
Success—
StatusUnknown
How this service works
On-time dispatch share - Distribution histogram: Distribution histogram 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 distribution histogram report.
Output
A bounded distribution histogram report showing how on-time dispatch share values are distributed across the supplied retail records, segmented into the requested number of equal-width bins with frequency counts per bin. Covers up to 200 input rows and up to 30 bins.
Example use cases
Retail supplier dispatch performance audit
“I have dispatch data for 20 retail suppliers — each with total dispatches and how many were on time. Can you build a distribution histogram with 8 bins so I can see how their on-time rates are spread out?”
Warehouse fulfillment punctuality benchmarking
“We track on-time dispatch numbers across 50 warehouse locations every month. Can you run a histogram with 5 bins on last month's data so I can see which performance buckets most locations fall into?”
Logistics improvement targeting
“I want to understand where our dispatch timeliness problems are concentrated — can you create a histogram with 6 bins from these 30 store records showing total dispatches and on-time dispatches?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ar-retail-dispatch-on-time-histogram?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have raw retail dispatch records (total dispatches and on-time dispatches per record) and need to understand the statistical distribution of on-time performance rates across those records. Ideal for benchmarking, auditing supplier punctuality, or identifying clusters of underperformance. Not suitable for retrieving live dispatch data, executing orders, or accessing platform-level logistics dashboards.
Side effects
- Fewer than 2 rows supplied — minimum input requirement not met
- dispatches value of 0 or negative — violates exclusiveMinimum constraint
- on_time_dispatches exceeds dispatches value — logically inconsistent data
- bins parameter exceeds 30 or is less than 1 — out of range
- More than 200 rows submitted — exceeds maximum record limit
- Missing required fields dispatches or on_time_dispatches in any row
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| bins | integer | |
| rows | array |
Tags
x402
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