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Schema Conformity — Two-Measure Correlation + Explicit Missing-Value Fill
x402
Schema Conformity — Two-Measure Correlation + Explicit 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 2026-10-14).
Computes Pearson correlation between valid_records and checked_records, and fills missing values using a specified strategy (zero, mean, or median) for up to 200 schema conformity rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Schema conformity — Two-measure correlation + Explicit missing-value fill: Two-measure correlation + Explicit missing-value fill for supplied schema conformity records (valid_records, checked_records). 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 Pearson correlation coefficient between valid_records and checked_records across supplied rows, and (2) a dataset with missing values in the specified field filled using the chosen strategy (zero, mean, or median). No external lookups or predictions are made; all analysis is performed locally on the supplied data.
Example use cases
Data quality audit correlation check
“I have 150 rows of schema conformity records with row IDs, dates, and dataset group labels, and I need to know how strongly valid_records correlates with checked_records. Can you run the correlation analysis and also fill any null values in valid_records using the mean strategy?”
Missing value imputation before reporting
“My schema conformity dataset has some null entries in the checked_records column — can you fill those using zero imputation and also compute the correlation between valid_records and checked_records across all my dataset groups so I have a clean report?”
Multi-group conformity trend analysis
“I'm tracking two dataset groups over the past quarter in my schema conformity logs and need two reports: fill any missing valid_records values using median, and tell me the correlation between valid_records and checked_records across all 80 rows.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-02-184?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need two simultaneous statistical operations on schema conformity data — specifically a bivariate correlation between valid_records and checked_records combined with explicit missing-value imputation — without requiring any external data sources, live lookups, or predictions. Ideal for data quality pipelines where null handling and metric correlation must be reported together for up to 200 rows at minimal cost.
Side effects
- Input array exceeds 200 rows — request rejected
- Missing required fields (row_id, date, valid_records, checked_records) in one or more rows
- Invalid date format (must match YYYY-MM-DD pattern)
- Invalid fill method enum value (must be zero, mean, or median)
- All values for the target field are null — mean/median imputation undefined
- Payment not processed — x402 payment required at $0.01 USDC
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| method | string |
Tags
x402
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