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Numeric Precision Comparisons — Two-Measure Correlation + Missing-Value Fill
x402
Numeric Precision Comparisons — Two-Measure Correlation + Missing-Value Fill is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-15).
Computes correlation between source and transformed numeric values and fills missing values using a chosen imputation method, across up to 200 rows of supplied data.
Price / call$0.01
Success—
StatusUnknown
How this service works
Numeric precision comparisons — Two-measure correlation + Explicit missing-value fill: Two-measure correlation + Explicit missing-value fill for supplied numeric precision comparisons records (source_value, transformed_value). 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) a correlation report showing the statistical relationship between source_value and transformed_value across the provided rows, and (2) a missing-value fill report showing which entries were imputed and their replacement values, using the selected method (zero, mean, or median) on the specified field.
Example use cases
ETL pipeline data quality check
“I just ran a transformation on our sales figures and want to see how closely the transformed values track the originals. Here are 150 rows with source_value and transformed_value — run a correlation report and fill any nulls in transformed_value using the mean.”
Sensor reading imputation before modeling
“I have sensor readings with some missing source_value entries. Can you fill those gaps using the median and also tell me how correlated source_value and transformed_value are across these 80 rows before I pass them to my ML model?”
Financial data reconciliation audit
“We have two numeric columns — raw ledger amounts and adjusted amounts — across 200 records. Some adjusted values are null. Please fill the missing adjusted values with zero and compute the correlation between the two columns so I can flag any reconciliation issues.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-20-184?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have a batch of up to 200 rows with paired numeric columns (source and transformed) and need both a correlation analysis and a missing-value imputation report in a single call. It is ideal for data quality checks after ETL transformations, pre-modeling data preparation, or reconciliation audits where null handling and linear relationship strength must be assessed together without external data lookups.
Side effects
- Fewer than 1 row or more than 200 rows submitted — rejected by schema
- Invalid date format (not YYYY-MM-DD) causes validation error
- source_value or transformed_value outside ±1,000,000,000,000 range causes rejection
- Invalid imputation method (not zero/mean/median) causes enum validation error
- All values in the target field are null — mean/median imputation may be undefined
- row_id missing or empty string — required field validation failure
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| method | string |
Tags
x402
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