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Unit Fill Rate – Weighted Result Mean
x402
Unit Fill Rate – Weighted Result Mean is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-23).
Calculates the weighted mean of unit fill rate (fulfilled_units / ordered_units) across multiple supplied retail records.
Price / call$0.01
Success—
StatusUnknown
How this service works
Unit fill rate - Weighted result mean: Weighted result mean for Unit fill rate. Supplied retail figures only. Local calculation and scenario analysis; no live inventory, account access, platform fee lookup or order execution. One of 25 profiles or calculations across 20 shared operations in this sector. 0.01 USDC includes one bounded weighted result mean deliverable.
Output
Returns the weighted mean unit fill rate (a single numeric value representing the weighted average ratio of fulfilled units to ordered units) computed from the supplied rows and weights.
Example use cases
Supplier performance weighted summary
“I have three suppliers with different order volumes this quarter — Supplier A filled 480 of 500 units (weight it by 3 since it's our biggest), Supplier B filled 190 of 200 (weight 1), and Supplier C filled 370 of 400 (weight 2). What's the weighted average fill rate across all three?”
Monthly fill rate trend weighting
“Give me the weighted mean fill rate for our last six months: Jan 920/1000 (weight 1), Feb 860/900 (weight 2), Mar 1050/1100 (weight 3), Apr 980/1000 (weight 2), May 870/900 (weight 1), Jun 1090/1100 (weight 3).”
Retail channel fill rate comparison
“Can you compute the weighted mean fill rate for our two retail channels — online filled 4800 of 5000 ordered (weight it 3 because it's higher volume) and in-store filled 1850 of 2000 ordered (weight 1)?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-sector-retail-unit-fill-weighted-mean?utm_source=zero.xyzWhen to prefer
Use this endpoint when you have multiple retail fulfillment records with different importance levels and need a single aggregate fill rate figure that accounts for those relative weights. Prefer this over a simple mean when records represent different volumes, time periods, or business priorities that should not be treated equally.
Side effects
- Fewer than 2 rows supplied — validation error
- Weights array length does not match rows array length — mismatch error
- ordered_units value of zero or negative — schema validation failure (exclusiveMinimum:0)
- fulfilled_units exceeds plausible range — accepted but may produce fill rate above 1.0
- More than 200 rows supplied — maxItems constraint violation
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| weights | array |
Tags
x402
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