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Validation Rule Results — Secondary-Measure Weighted Mean + Explicit Missing-Value Fill
x402
Validation Rule Results — Secondary-Measure Weighted Mean + 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 2026-10-12).
Computes a secondary-measure weighted mean and fills missing values for validation rule result records (passed_rules, total_rules) across up to 200 rows in two independent analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Validation rule results — Secondary-measure weighted mean + Explicit missing-value fill: Secondary-measure weighted mean + 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 containing the secondary-measure weighted mean and explicitly filled missing values for the specified field (passed_rules or total_rules) across up to 200 input rows, segmented by dataset_group and date.
Example use cases
Data quality pipeline audit
“I have 120 rows of validation rule results from my ETL pipeline with date, dataset_group, passed_rules, and total_rules columns — some values are null. Can you compute the weighted mean of passed_rules and fill in the missing values using median, then give me two summary reports?”
Rule compliance trend by group
“My data quality team tracks passed_rules and total_rules by dataset group daily. Can you run a weighted mean analysis on total_rules across our 80 rows of validation results, using zero-fill for any missing entries, and produce both reports?”
Missing value imputation for validation metrics
“We have validation rule results for four dataset groups over the past quarter — about 150 rows — and several passed_rules values are missing. Can you fill them using mean imputation and then compute the weighted mean so I can see overall compliance?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-08-187?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have tabular validation rule result data (passed_rules, total_rules) with up to 200 rows that may contain null values, and you need both a weighted mean aggregation and explicit missing-value imputation in a single call producing two reports — without any external data lookup or live prediction.
Side effects
- More than 200 rows submitted — exceeds maxItems limit and will be rejected
- Missing required fields (row_id, dataset_group, date) causes validation error
- Invalid date format (not YYYY-MM-DD) triggers schema validation failure
- Numeric values outside ±1,000,000,000,000 range rejected
- Invalid fill method enum value causes request failure
- Empty rows array (minItems:1 violated) returns error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| method | string |
Tags
x402
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