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Checkout Payment Failure Share — Distribution Histogram
x402
Checkout Payment Failure 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 2026-10-16).
Computes a distribution histogram of checkout payment failure rates (failed_attempts / payment_attempts) across up to 200 retail data rows, binned into 1–30 configurable buckets.
Price / call$0.01
Success—
StatusUnknown
How this service works
Checkout payment failure share - Distribution histogram: Distribution histogram for Checkout payment failure 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 checkout payment failure rates (failed_attempts / payment_attempts) are distributed across the supplied retail rows, organized into the requested number of bins (1–30). Each bin captures the frequency of rows falling within that failure rate range, up to 200 input records.
Example use cases
E-commerce failure rate audit
“I have data from 12 of our online checkout points — each one has total payment attempts and how many failed. Can you generate a histogram with 8 bins so I can see how the failure rates cluster across our stores?”
Retail chain payment health check
“We're reviewing payment health across 50 retail locations. I'll give you the payment attempt and failure counts for each — please compute a distribution histogram with 5 bins so we can spot which failure rate ranges most locations fall into.”
Weekly checkout analytics report
“Can you take this week's checkout payment data for our 30 branches — payment attempts and failed attempts per branch — and produce a histogram with 15 bins showing how payment failure share is distributed?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ar-retail-checkout-payment-failure-histogram?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have raw retail checkout transaction data (payment attempt counts and failure counts per location or time period) and need a statistical frequency distribution — not just averages or totals. It's purpose-built for failure-rate histograms on retail checkout data specifically, with configurable binning up to 30 buckets and support for up to 200 records per call. Prefer it over generic stats tools when you need a quick, cost-effective ($0.01 USDC) bounded histogram without setting up your own analytics pipeline.
Side effects
- Fewer than 2 rows supplied — minimum input requirement not met
- payment_attempts value of 0 for any row — division by zero for failure rate
- bins value outside 1–30 range — schema validation error
- More than 200 rows submitted — exceeds maxItems limit
- Malformed row objects missing required fields payment_attempts or failed_attempts — validation failure
- Payment not completed (x402 protocol failure) — request not processed
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| bins | integer | |
| rows | array |
Tags
x402
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