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Validation Rule Results — String Normalisation + Trailing Mean Series
x402
Validation Rule Results — String Normalisation + Trailing Mean 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).
Runs string normalisation and trailing mean series analytics on validation rule result records (passed_rules, total_rules) for up to 200 rows, returning 2 independent local reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Validation rule results — String normalisation + Trailing mean series: String normalisation + Trailing mean 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 2 analytical reports: (1) string normalization output for dataset_group and related text fields across the submitted rows, and (2) a trailing mean time series for the selected numeric field (passed_rules or total_rules) computed with the specified window size, covering up to 200 input rows.
Example use cases
Data Quality Trend Monitoring
“I have 60 rows of daily validation results with passed_rules and total_rules per dataset group. Can you compute the trailing mean of passed_rules over a window of 7 days and also normalize the string labels in the dataset, so I can spot quality trends?”
Smoothing Noisy Rule Counts
“My total_rules counts are pretty noisy day-to-day. Can you run a trailing mean with a window of 10 on the total_rules field across my 150 validation records, and include the string normalization report for the dataset_group names?”
Multi-Group Validation Summary
“I've got validation rule results for two dataset groups — group-a and group-b — across 30 dates. Please normalize the string fields and compute a trailing mean of passed_rules with a window of 3, so I can compare how each group is trending.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-08-028?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both string normalization and a trailing (rolling) mean time series for validation rule result data in a single call, at low cost ($0.01 for both reports). Ideal for data quality pipelines where you want to smooth noisy rule-pass metrics over time while also standardizing categorical labels, without needing external data lookups or predictions.
Side effects
- Fewer than 1 row submitted returns a validation error
- Window size larger than the number of rows may produce incomplete trailing means
- Rows missing required fields (row_id, date, passed_rules, total_rules, dataset_group) will be rejected
- Date strings not matching YYYY-MM-DD pattern will fail schema validation
- Submitting more than 200 rows exceeds the maxItems limit and will be rejected
- Null numeric values may reduce trailing mean coverage for affected rows
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| window | integer |
Tags
x402
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