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Validation Rule Results — Numeric Row Ordering + Base-100 Series
x402
Validation Rule Results — Numeric Row Ordering + Base-100 Series 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 numeric row ordering and a Base-100 index series for supplied validation rule result records (passed_rules, total_rules) across up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Validation rule results — Numeric row ordering + Base-100 series: Numeric row ordering + Base-100 series 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 for the supplied rows: (1) a numeric row ordering ranking records by the selected field, and (2) a Base-100 index series anchored at the specified base row — all computed locally without external lookups or predictions, covering up to 200 input rows.
Example use cases
Data pipeline quality trend indexing
“I have daily validation results for two dataset groups over the past week — each row has a date, passed_rules, and total_rules — can you build a Base-100 index series on passed_rules starting from day 0 and rank the rows numerically so I can see quality trends?”
Comparing rule pass rates across dataset groups
“Here are 20 rows of validation rule outcomes for group-alpha and group-beta with dates and pass/fail counts — please rank them by total_rules and also generate a Base-100 series on total_rules anchored at index 0 so I can compare groups.”
Monthly compliance rule audit ranking
“I've got 50 validation records from our monthly compliance audit — each has a dataset_group, date, passed_rules, and total_rules — rank them numerically and give me a Base-100 normalized series on passed_rules starting from the first row.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-08-117?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both numeric row ranking and a Base-100 normalization index for validation rule result data (passed_rules, total_rules) in a single low-cost call. It is ideal for data quality monitoring workflows where you want to see relative ordering and indexed trends across up to 200 rows without any external data lookups. Prefer it over general analytics tools when your data is already structured as validation outcomes by dataset group and date.
Side effects
- Empty rows array returns an error (minItems: 1 required)
- More than 200 rows submitted exceeds maxItems limit
- Invalid date format (must be YYYY-MM-DD) causes schema validation failure
- base_index out of range (must be 0–199) rejected
- null values in passed_rules or total_rules may affect computation output
- Invalid field value (must be 'passed_rules' or 'total_rules') causes rejection
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| base_index | integer |
Tags
x402
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