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Checkout Payment Failure Share – Base-100 Rebase Report
x402
Checkout Payment Failure Share – Base-100 Rebase Report 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 Base-100 rebased index of checkout payment failure share from supplied retail payment attempt data (up to 200 records).
Price / call$0.01
Success—
StatusUnknown
How this service works
Checkout payment failure share - Base-100 rebase report: Base-100 rebase report 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 base-100 rebase report report.
Output
A Base-100 rebased series representing the checkout payment failure share for each supplied row, normalized relative to the specified base_index row. The output shows how failure share moves relative to the baseline (set to 100), enabling period-over-period or scenario-over-scenario comparison of checkout payment failure rates.
Example use cases
Monthly checkout failure trend rebasing
“I have 6 months of retail checkout data with payment attempts and failures per month. Can you rebase the failure share into a Base-100 index starting from month 0 so I can see how it's trending relative to our baseline?”
A/B test payment flow comparison
“We ran two checkout flows last week — can you rebase both sets of payment attempt and failure data to Base-100 using the first row as the reference point so I can compare how failure rates moved across flows?”
Quarterly retail benchmark normalization
“I've got quarterly payment attempt and failure figures from 8 retail periods. Please compute a Base-100 rebased index of our checkout failure share with quarter 2 as the base period.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ar-retail-checkout-payment-failure-index?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have raw retail checkout payment attempt and failure count data and need it normalized to a Base-100 index for trend analysis, benchmarking, or comparison — without requiring live payment gateway access, platform integration, or order execution. Ideal for offline analytics, report generation, or agent-driven data pipelines processing up to 200 periods of retail data.
Side effects
- Fewer than 2 rows supplied — minimum rows requirement not met
- base_index out of range — must be between 0 and (number of rows - 1)
- payment_attempts is zero for any row — causes division-by-zero in failure share calculation
- More than 200 rows supplied — exceeds maxItems limit
- Non-numeric or missing failed_attempts or payment_attempts values
- Payment fails or USDC balance insufficient for the $0.01 per-call fee
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| base_index | integer |
Tags
x402
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