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Validation Rule Results — Numeric Row Ordering + Explicit Missing-Value Fill
x402
Validation Rule Results — Numeric Row Ordering + 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).
Sorts validation rule result rows numerically and fills missing passed_rules or total_rules values using zero, mean, or median imputation, producing two analytical reports for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Validation rule results — Numeric row ordering + Explicit missing-value fill: Numeric row ordering + 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: one showing the rows sorted in numeric order, and one with missing values for the selected field (passed_rules or total_rules) filled using the chosen method (zero, mean, or median). Reports are generated locally with no external lookups.
Example use cases
Impute missing passed_rules in quality audit
“I've got 80 rows of data quality audit results with some missing passed_rules counts — can you fill those gaps using the mean and also sort all the rows numerically so I can see them in order? My fields are row_id, dataset_group, date, passed_rules, and total_rules.”
Prepare validation metrics for dashboard
“I need to clean up my validation rule result data before loading it into a dashboard — there are null total_rules entries across about 120 rows. Fill the nulls with zero and sort everything numerically, then give me the two reports.”
Analyze multi-group rule pass rates
“I have validation results across two dataset groups — group-a and group-b — for about 30 rows from October 2026. Some passed_rules values are missing. Can you sort the rows numerically and use median imputation to fill the gaps in passed_rules?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-08-124?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 validation rule result records with passed_rules or total_rules fields and need both numeric ordering and missing-value imputation in a single call. It is ideal for lightweight, local data cleaning of validation metrics without requiring external data sources, live lookups, or prediction models. Prefer it over general data-processing pipelines when the specific schema (row_id, dataset_group, date, passed_rules, total_rules) matches your data and you want two bundled reports at low cost.
Side effects
- More than 200 rows submitted — exceeds the maxItems limit
- Missing required fields (row_id, dataset_group, date) in one or more row objects
- Invalid date format (must match YYYY-MM-DD pattern)
- Invalid field enum value (must be passed_rules or total_rules)
- Invalid method enum value (must be zero, mean, or median)
- Payment failure or insufficient USDC balance for the $0.01 call
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| method | string |
Tags
x402
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