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Validation Rule Results — Two-Measure Correlation + Explicit Missing-Value Fill
x402
Validation Rule Results — 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 2026-10-11).
Computes the correlation between passed_rules and total_rules, and fills missing values using a chosen strategy (zero, mean, or median), for up to 200 supplied validation rule result rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Validation rule results — Two-measure correlation + Explicit missing-value fill: Two-measure correlation + Explicit missing-value fill for supplied validation rule results records (passed_rules, total_rules). 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 independent analytical reports: (1) a two-measure correlation result quantifying the statistical relationship between passed_rules and total_rules across supplied rows, and (2) a transformed dataset with missing values in the selected field filled using the specified strategy (zero, mean, or median). Up to 200 input rows are processed per call.
Example use cases
Data quality pipeline pre-check
“Before I run my ETL pipeline, I want to check whether passed_rules and total_rules are closely correlated in my latest batch of 150 validation records, and I need any nulls in passed_rules filled using the mean. Can you run both analyses?”
Missing value imputation for reporting
“I have a dataset of 80 validation rule results with some missing total_rules values — please fill those gaps using zero imputation and also show me the correlation between passed_rules and total_rules across all the rows.”
Multi-group rule result analytics
“I've got validation rule result rows for two dataset groups, group-a and group-b, spanning October 2026, and some entries have null passed_rules. Fill the nulls with median and tell me how correlated passed_rules and total_rules are across all groups.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-08-184?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both missing-value imputation and correlation analysis in a single call on validation rule result data (passed_rules, total_rules), without any external lookup or prediction. Ideal for data quality pipelines needing offline, deterministic, local-engine analytics on small batches (≤200 rows) at minimal cost ($0.01 USDC for both reports). Prefer alternatives if you need more than 200 rows, live data retrieval, or additional statistical operations beyond correlation and fill.
Side effects
- Input array exceeds 200 rows — request rejected
- Missing required fields (row_id, dataset_group, date, passed_rules, total_rules) — validation error
- Invalid date format not matching YYYY-MM-DD pattern — schema rejection
- Invalid enum value for method or field — schema rejection
- Fewer than the minimum 1 row supplied — rejected
- Numeric values outside allowed range (±1,000,000,000,000) — rejected
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| method | string |
Tags
x402
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