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Validation Rule Results — Duplicate Key Report & Category Frequencies
x402
Validation Rule Results — Duplicate Key Report & Category Frequencies is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-10).
Analyzes validation rule result records to detect duplicate row keys and compute category-level frequencies of passed/total rules per dataset group.
Price / call$0.01
Success—
StatusUnknown
How this service works
Validation rule results — Duplicate key report + Category frequencies: Duplicate key report + Category frequencies 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 a duplicate key report identifying any row_ids that appear more than once across the submitted records, along with category frequency counts showing how often each dataset_group value appears and potentially summarizing passed/total rule statistics per category.
Example use cases
Audit pipeline validation for duplicate keys
“I have a batch of 50 validation rule records from my ETL pipeline — can you check them for any duplicate row IDs and tell me how often each dataset group shows up? Here are the rows with their dates, passed_rules, and total_rules values.”
Category frequency report for data quality dashboard
“For my data quality dashboard, analyze these validation results from October and give me the frequency of each dataset_group category along with any duplicate row keys you find across the 120 records I'm sending.”
Detect key collisions in multi-source validation logs
“We're merging validation logs from two sources and I'm worried about row_id collisions — can you run a duplicate key report on these records and also show me how the groups are distributed by frequency?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-08-057?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need to simultaneously detect duplicate row identifiers and compute category-level frequency distributions from validation rule result records (passed_rules, total_rules). Ideal for data quality auditing pipelines where you want both key-collision detection and group-level aggregation in a single call for up to 200 records.
Side effects
- Empty rows array or missing required fields (row_id, dataset_group, date, passed_rules, total_rules) causes validation error
- More than 200 rows submitted exceeds maxItems limit
- Invalid date format (not YYYY-MM-DD) causes schema rejection
- Numeric values outside ±1,000,000,000,000 range rejected
- Payment failure via x402 protocol blocks request
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array |
Tags
x402
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