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Checkout Payment Failure Share – IQR Outlier Flags
x402
Checkout Payment Failure Share – IQR Outlier Flags 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).
Detects IQR-based statistical outliers in checkout payment failure share ratios across a batch of retail transaction records.
Price / call$0.01
Success—
StatusUnknown
How this service works
Checkout payment failure share - IQR outlier flags: IQR outlier flags 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 iqr outlier flags report.
Output
Returns IQR-based outlier flags for each submitted row, indicating whether each store or record's payment failure share (failed_attempts / payment_attempts) is a statistical outlier relative to the supplied dataset. Typically includes outlier boolean flags and may include computed IQR bounds or scores per record. Up to 200 records per call.
Example use cases
Flag anomalous store payment failure rates
“I've got data from 20 retail branches — some seem to have way higher checkout payment failure rates than others. Can you run IQR outlier detection on their failure counts and attempt counts so I can see which branches are statistical outliers?”
QA check on payment processor health
“We're reviewing payment processor performance across our checkout lanes. I have records for each lane showing total payment attempts and failed attempts — can you flag any lanes whose failure share is outside the normal IQR range?”
Weekly retail payment anomaly report
“Here's this week's checkout data for our 50 retail locations — each has a count of payment attempts and failed attempts. Run outlier detection on the failure share so I can surface the locations that need immediate investigation.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ar-retail-checkout-payment-failure-outliers?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need fast, batch IQR-based statistical outlier detection specifically on checkout payment failure rate data across retail records. It is purpose-built for retail payment analytics rather than general-purpose statistical tools, accepts up to 200 records per call, and is priced at $0.01 USDC per call making it cost-effective for routine monitoring. Prefer it over generic statistics libraries when you want a simple API call with no infrastructure setup.
Side effects
- Fewer than 2 rows submitted — minimum of 2 rows required
- payment_attempts must be greater than 0 (exclusiveMinimum enforced)
- More than 200 rows submitted — maxItems limit exceeded
- Non-numeric values in failed_attempts or payment_attempts fields
- failed_attempts exceeds payment_attempts (logically invalid ratio, though not schema-enforced)
- Network or payment authorization failure via x402 protocol
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array |
Tags
x402
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