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Returns Handling: Exact Row Deduplication + Two-Measure Correlation
x402
Returns Handling: Exact Row Deduplication + Two-Measure Correlation is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-31).
Deduplicates exact rows and computes correlation between returned_units and processing_minutes across up to 200 returns handling records.
Price / call$0.01
Success—
StatusUnknown
How this service works
Returns handling — Exact row deduplication + Two-measure correlation: Exact row deduplication + Two-measure correlation for supplied returns handling records (returned_units, processing_minutes). Up to 200 rows; 2 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 2 supplied-data reports for up to 200 rows.
Output
Returns two analytical reports: (1) an exact row deduplication report identifying duplicate records in the input dataset, and (2) a two-measure correlation report quantifying the statistical relationship between returned_units and processing_minutes across all submitted rows.
Example use cases
Retail returns data quality audit
“I have 180 rows of returns data from my store groups — can you check for exact duplicate rows and tell me if there's any correlation between how many units were returned and how long they took to process?”
Multi-store correlation analysis
“Run a deduplication check and a two-measure correlation between returned_units and processing_minutes on this dataset of 95 returns records across our East and West store groups from Q4 2025.”
Operations efficiency investigation
“I want to know if stores that process more returns are spending proportionally more time on them — can you deduplicate my 60-row returns log and compute the correlation between returned_units and processing_minutes?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-retail-04-050?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both exact-row deduplication and a two-measure correlation analysis on returns handling data (returned_units vs processing_minutes) in a single low-cost call. Ideal for retail operations analysts who want to clean their dataset and measure KPI relationships simultaneously without building custom analytical pipelines. Best for datasets of up to 200 rows where no live data lookup or predictive modeling is needed.
Side effects
- Input exceeds 200 rows — request rejected
- Missing required fields (row_id, date, returned_units, processing_minutes) — validation error
- Date format not matching YYYY-MM-DD pattern — schema validation failure
- All rows are duplicates leaving insufficient data for correlation — edge case result
- Null values in both measure columns preventing correlation computation
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array |
Tags
x402
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