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First-Attempt Delivery Share Distribution Histogram
x402
First-Attempt Delivery 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 2026-10-19).
Computes a distribution histogram of first-attempt delivery share rates across up to 200 retail shipment records, grouped into configurable bins.
Price / call$0.01
Success—
StatusUnknown
How this service works
First-attempt delivery share - Distribution histogram: Distribution histogram for First-attempt delivery 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 grouping the first-attempt delivery share values across supplied records into the requested number of bins, showing frequency counts or proportions per bin range. Up to 200 records supported, with 1–30 configurable bins.
Example use cases
Retail delivery performance audit
“I have 15 retail locations with their attempted shipment counts and first-attempt delivery numbers for last quarter. Can you build a histogram with 10 bins so I can see how delivery success rates are distributed across all the stores?”
Carrier benchmarking across routes
“Here are 50 route records with total attempted deliveries and how many succeeded on the first try. Give me a 5-bin histogram so I can see which delivery success ranges are most common across our carrier network.”
Identifying underperforming depots
“I've got shipment data from 30 depot locations showing attempted shipments and first-attempt deliveries each. Generate a distribution histogram with 8 bins so I can spot how many depots cluster around low first-attempt success rates.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ar-retail-first-attempt-delivery-histogram?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a statistical frequency distribution of first-attempt delivery share rates across a batch of retail shipment records, particularly when you want to understand spread, clustering, or outliers in delivery performance. Prefer this over raw summary statistics when the shape of the distribution matters (e.g. bimodal vs. normally distributed performance). Best for offline analysis of supplied data rather than live tracking or order management.
Side effects
- Fewer than 2 rows supplied — minimum row count not met
- Bin count exceeds 30 or is less than 1 — validation error
- attempted_shipments value is zero or negative — exclusiveMinimum violation
- first_attempt_deliveries exceeds attempted_shipments — logically inconsistent data may produce skewed histogram
- More than 200 rows submitted — maxItems limit exceeded
- Non-numeric values in shipment fields — schema type error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| bins | integer | |
| rows | array |
Tags
x402
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