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Validation Rule Results — String Normalisation + Daily Sum Series
x402
Validation Rule Results — String Normalisation + Daily Sum Series is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-11).
Applies string normalisation and computes a daily sum time series for up to 200 validation rule result records (passed_rules or total_rules), returning two independent analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Validation rule results — String normalisation + Daily sum series: String normalisation + Daily sum 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
Two independent analytical reports: (1) normalised string representations of the input validation rule result data, and (2) a daily sum time series for the selected numeric field (passed_rules or total_rules), aggregated by date across up to 200 supplied rows.
Example use cases
Data quality dashboard time series
“I have daily validation rule results for our ETL pipeline across two dataset groups — can you normalise the strings and produce a daily sum series for passed_rules so I can track data quality trends over time?”
Rule compliance aggregation by date
“Here are 150 rows of validation rule outcomes with dates and dataset groups; I need a daily sum of total_rules with string normalisation applied — give me both analytical reports.”
Debugging a drop in rule pass rate
“Our passed_rules numbers dropped last week — can you take these 80 rows of validation results, run the string normalisation and daily sum series on the passed_rules field, and show me what the aggregated daily totals look like?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-08-027?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have tabular validation rule result data (up to 200 rows) and need both string normalisation and daily sum time series analytics in a single call without any live data lookup, prediction, or external side effects. It is ideal for data quality monitoring pipelines, ETL audit workflows, or lightweight analytical pre-processing where two co-packaged reports justify the per-call cost.
Side effects
- Rows exceeding 200 items will be rejected with a validation error
- Missing required fields (row_id, dataset_group, date, passed_rules, total_rules) will cause row-level rejection
- Dates not matching YYYY-MM-DD pattern will fail schema validation
- Numeric values outside ±1,000,000,000,000 will be rejected
- Invalid field enum value (anything other than passed_rules or total_rules) will error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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