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Validation Rule Results — Exact Row Deduplication + Numeric Distribution
x402
Validation Rule Results — Exact Row Deduplication + Numeric Distribution 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).
Analyzes up to 200 validation rule result records by performing exact row deduplication and numeric distribution analysis on passed_rules or total_rules fields.
Price / call$0.01
Success—
StatusUnknown
How this service works
Validation rule results — Exact row deduplication + Numeric distribution: Exact row deduplication + Numeric distribution 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: (1) an exact row deduplication report identifying duplicate records across the supplied rows, and (2) a numeric distribution report for the selected field (passed_rules or total_rules), covering up to 200 input rows. All analysis is performed locally with no external lookups.
Example use cases
Deduplicating pipeline validation logs
“I have 120 validation rule result records from my ETL pipeline with row_id, dataset_group, date, passed_rules, and total_rules columns — can you deduplicate them and give me a numeric distribution of the passed_rules values?”
Auditing rule pass rates across dataset groups
“Run a deduplication check and numeric distribution analysis on my 80 validation result rows grouped by dataset_group, and analyze the total_rules field so I can see how rule counts are spread across groups.”
Spotting data quality issues in rule results
“I suspect there are duplicate rows in my validation results dataset — can you deduplicate the 200 records I have and also show me the numeric distribution of passed_rules to spot any anomalies?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-08-039?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both exact row deduplication and numeric distribution analysis on validation rule result data in a single low-cost call. It is ideal for small-to-medium datasets (up to 200 rows) where you want to identify duplicate records and understand the statistical spread of rule pass/fail counts without any external data lookups or live integrations.
Side effects
- Input exceeds 200 rows — request will be rejected
- Missing required fields (row_id, dataset_group, date, passed_rules, total_rules) cause validation errors
- Invalid date format (must match YYYY-MM-DD) triggers schema rejection
- Numeric values outside the allowed range cause input rejection
- Empty rows array (minItems: 1 not met) returns an error
- Invalid field enum value (must be passed_rules or total_rules) causes failure
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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