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Order-line Picking Rate – Sequential Input-Change Attribution
x402
Order-line Picking Rate – Sequential Input-Change Attribution is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-18).
Performs waterfall (sequential input-change) attribution analysis on order-line picking rate, isolating the individual contribution of each input change (picked order lines and labour hours) to the overall rate shift between two scenarios.
Price / call$0.01
Success—
StatusUnknown
How this service works
Order-line picking rate - Sequential input-change attribution: Sequential input-change attribution for Order-line picking rate. 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 sequential input-change attribution report.
Output
A bounded sequential input-change attribution report showing: the baseline order-line picking rate, the final picking rate, and a step-by-step waterfall decomposition isolating how much each input change (first picked_order_lines, then labour_hours, in sequence) contributed to the overall rate delta.
Example use cases
Warehouse productivity improvement explainer
“Our picking rate went up this week — before we had 480 order lines picked in 8 hours, now we're picking 600 lines in 8.5 hours. Run the sequential attribution waterfall so I can see whether the improvement came mostly from picking more lines or from the labour hours change.”
Labour reallocation impact assessment
“We reduced labour hours from 10 to 7.5 while picked order lines dropped from 600 to 480. Do a sequential input-change attribution on the picking rate so I can quantify how much each change contributed to the overall rate movement.”
Shift performance report for operations manager
“I need a waterfall breakdown of our order-line picking rate change: the morning shift went from 320 lines in 8 hours to 370 lines in 7.5 hours. Break down which input drove the rate change and by how much.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ar-retail-order-line-pick-rate-waterfall?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need to explain *why* an order-line picking rate changed between two periods by attributing the delta to each input in sequence — particularly useful for operations reporting, root cause analysis, and communicating productivity shifts to stakeholders. Prefer it over a simple before/after comparison when you need to understand the isolated contribution of picked order lines vs labour hours separately, not just the aggregate change.
Side effects
- labour_hours of 0 or negative will be rejected (exclusiveMinimum: 0)
- missing required fields (picked_order_lines or labour_hours in either before or after object) returns validation error
- non-numeric or out-of-range values (above 1e12) cause schema rejection
- payment failure or insufficient USDC balance blocks execution
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| after | object | |
| before | object |
Tags
x402
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