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Validation Rule Results — String Normalisation + Numeric Row Ordering
x402
Validation Rule Results — String Normalisation + Numeric Row Ordering 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).
Normalises string fields and orders rows numerically for up to 200 validation rule result records (passed_rules, total_rules), returning 2 independent analytical reports per call.
Price / call$0.01
Success—
StatusUnknown
How this service works
Validation rule results — String normalisation + Numeric row ordering: String normalisation + Numeric row ordering 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 per call: (1) a string normalisation report for the supplied dataset_group and row_id fields across all submitted rows, and (2) a numeric row ordering report ranking rows by the selected field (passed_rules or total_rules). Up to 200 rows processed per request with no external lookups or live data.
Example use cases
Data quality audit across dataset groups
“I have 120 validation result rows from last month's pipeline run, each with a row_id, dataset_group, date, passed_rules, and total_rules. Can you normalise the dataset_group strings and rank everything by passed_rules so I can spot which groups are underperforming?”
Identifying top-performing rule sets
“Here are 80 validation records from our ETL checks — can you sort them numerically by total_rules and also normalise the dataset_group and row_id strings? I want both reports so I can compare rule coverage across groups.”
Pre-reporting data cleanup for compliance
“Before I hand these 200 data-quality records to the compliance team, can you clean up the string fields and order the rows by passed_rules numerically? The records have row_id, dataset_group, date, passed_rules, and total_rules columns.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-08-025?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 validation rule result records and need both string normalisation of categorical fields and numeric ordering of passed_rules or total_rules in a single low-cost call. It is ideal for lightweight data quality pipelines where no live lookups, predictions, or external integrations are required — just deterministic local analytical processing of supplied data at $0.01 USDC for two reports.
Side effects
- More than 200 rows submitted — request rejected with validation error
- Missing required fields (row_id, dataset_group, date, passed_rules, total_rules) — row-level validation error
- Numeric values outside allowed range (±1,000,000,000,000) — validation error
- Invalid date format (must be YYYY-MM-DD) — pattern mismatch error
- Empty rows array — minItems violation
- Unknown field enum value — rejected with enum constraint error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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