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Unit Return Rate – Benchmark Correlation
x402
Unit Return Rate – Benchmark Correlation is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-27).
Calculates the Pearson (or similar) correlation between a series of unit return rates and a supplied benchmark series for retail scenario analysis.
Price / call$0.01
Success—
StatusUnknown
How this service works
Unit return rate - Benchmark correlation: Benchmark correlation for Unit return 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 benchmark correlation deliverable.
Output
Returns a bounded benchmark correlation deliverable — a scalar correlation value (likely Pearson r) between the computed unit return rates (returned_units/sold_units) derived from the supplied rows and the provided benchmark series, enabling retail teams to understand how closely their return performance tracks a reference benchmark.
Example use cases
Retail return rate trend benchmarking
“I have four weeks of retail sales data — week 1: 200 sold, 10 returned; week 2: 220 sold, 12 returned; week 3: 180 sold, 9 returned; week 4: 210 sold, 11 returned — and a benchmark series of 8, 10, 7, 9. What's the correlation between our return rate and that benchmark?”
Seasonal return spike scenario analysis
“Run a correlation analysis on our holiday return rates against industry benchmarks. Our data is: 500 sold / 60 returned, 480 sold / 55 returned, 520 sold / 70 returned, 510 sold / 65 returned. Benchmark: 12, 11, 14, 13.”
Product line return rate vs. category benchmark
“Can you correlate our electronics product line's return rates with the category benchmark? Units: 300 sold / 15 returned, 320 sold / 18 returned, 310 sold / 14 returned. Use benchmark values 5, 6, 5 for comparison.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-sector-retail-unit-return-correlation?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a quick, local statistical correlation between a retail unit return rate time series and a supplied benchmark series — particularly for scenario analysis without needing live inventory data, account access, or order execution. It is ideal for offline benchmarking, hypothesis testing, and comparing internal return rate trends against external or synthetic reference series.
Side effects
- Fewer than 2 rows provided — minimum minItems:2 validation error
- Fewer than 2 benchmark values provided — validation error
- sold_units value of 0 triggers exclusiveMinimum violation
- Mismatched array lengths between rows and benchmarks may produce unexpected correlation results
- Extremely large values near the maximum boundary may cause precision issues
- Missing required fields (sold_units or returned_units) in any row object causes schema rejection
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| benchmarks | array |
Tags
x402
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