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Validation Rule Results — Duplicate Key Report + Adjacent Row Changes
x402
Validation Rule Results — Duplicate Key Report + Adjacent Row Changes is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-14).
Analyzes validation rule result records to detect duplicate row keys and identify adjacent row-to-row changes in passed_rules or total_rules metrics.
Price / call$0.01
Success—
StatusUnknown
How this service works
Validation rule results — Duplicate key report + Adjacent row changes: Duplicate key report + Adjacent row changes 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 in the submitted records, plus an adjacent row change breakdown showing where the selected metric (passed_rules or total_rules) changed between consecutive rows, grouped by dataset_group and ordered by date. Supports up to 200 input records per call.
Example use cases
Data pipeline duplicate key audit
“I need to check my validation rule results for duplicate row IDs — I have about 50 records across dataset groups 'finance' and 'ops' spanning the last two weeks, and I want to flag any duplicate keys and see how passed_rules changed between adjacent rows.”
Daily data quality change monitoring
“Can you analyze yesterday's validation run records and show me where total_rules changed between consecutive rows for my 'prod-etl' dataset group? I want to spot any unexpected jumps or drops.”
QA report for multi-group validation output
“I have validation rule results for three dataset groups — 'billing', 'inventory', and 'customers' — with row IDs and dates for October. Please generate a duplicate key report and show adjacent row changes for passed_rules so I can catch any data integrity issues before the monthly review.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-08-062?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need to simultaneously audit a batch of validation rule results for both duplicate row keys and adjacent row metric changes in a single call. It is specifically designed for data quality monitoring workflows where passed_rules and total_rules are the core metrics, and you need up to 200 records analyzed at once with date-ordered adjacency logic.
Side effects
- Fewer than 1 row submitted returns a validation error
- More than 200 rows submitted exceeds the maxItems limit
- Malformed date strings not matching YYYY-MM-DD pattern cause schema rejection
- Missing required fields (row_id, dataset_group, date, passed_rules, total_rules) result in request rejection
- Invalid field enum value (anything other than passed_rules or total_rules) causes an error
- Numeric values outside the allowed range (-1000000000000 to 1000000000000) are rejected
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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