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Bundle Attachment Share Threshold Classification
x402
Bundle Attachment Share Threshold Classification is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-14).
Classifies rows of retail bundle attachment share data against lower and upper thresholds, returning a bounded classification report for up to 200 records.
Price / call$0.01
Success—
StatusUnknown
How this service works
Bundle attachment share - Threshold classification: Threshold classification for Bundle attachment 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 threshold classification report.
Output
A bounded threshold classification report for each submitted row, indicating whether the bundle attachment share (bundle_orders / eligible_orders) falls below the lower threshold, within the range, or above the upper threshold.
Example use cases
Monthly store performance review
“I have monthly data for 12 stores — each has eligible orders and bundle orders counts — classify all of them against a lower threshold of 15 and upper threshold of 25 so I can see which stores are hitting our bundle attachment target.”
Weekly trend threshold check
“Here are 8 weeks of bundle attachment figures: eligible orders 100, 105, 98, 112, 107, 103, 99, 108 and bundle orders 22, 24, 19, 30, 27, 21, 18, 25 — classify each week against thresholds of 20 and 28.”
Region comparison classification
“I want to compare 6 regional markets for bundle attachment performance — can you classify each region's bundle orders against eligible orders with a lower bound of 10 and upper bound of 35?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ar-retail-bundle-attachment-threshold?utm_source=zero.xyzWhen to prefer
Use this endpoint when you have raw retail bundle order counts (eligible_orders and bundle_orders per period or location) and need to quickly classify each record against fixed lower and upper thresholds — ideal for performance benchmarking, tiering, or flagging outliers in batch retail analytics workflows. Not suitable if you need live rates, order execution, or more than 200 records.
Side effects
- Fewer than 2 rows submitted — minimum row count not met
- Row missing required eligible_orders or bundle_orders field — validation error
- eligible_orders set to 0 — excluded from ratio calculation or error
- Array exceeds 200 rows — payload rejected
- Lower threshold greater than upper threshold — potentially undefined classification behavior
- Non-numeric values in numeric fields — schema validation failure
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| lower | number | |
| upper | number |
Tags
x402
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