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Validation Rule Results — Exact Row Deduplication + Base-100 Series
x402
Validation Rule Results — Exact Row Deduplication + Base-100 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).
Deduplicates exact duplicate rows and computes a Base-100 indexed series for validation rule result metrics (passed_rules, total_rules) across up to 200 supplied records.
Price / call$0.01
Success—
StatusUnknown
How this service works
Validation rule results — Exact row deduplication + Base-100 series: Exact row deduplication + Base-100 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 two analytical reports: (1) a deduplicated row set with exact duplicate rows removed, and (2) a Base-100 indexed series for the selected metric field (passed_rules or total_rules) anchored to the specified base_index row. Both reports are computed locally against the supplied data with no external lookups.
Example use cases
Data pipeline quality trend indexing
“I have 120 rows of daily validation rule results with passed_rules and total_rules per dataset group. Can you deduplicate any exact duplicate records and then build a Base-100 series for passed_rules anchored to the first row so I can compare trends across groups?”
Audit deduplication for compliance reporting
“Before I submit my monthly data quality report, can you scrub exact duplicates from my 80 validation rule result rows and give me the deduplicated output plus a base-100 indexed series for total_rules starting at index 0?”
Normalize multi-group validation metrics
“I'm comparing validation coverage across dataset groups A and B over the past quarter — about 150 rows total. Please deduplicate the records and generate a Base-100 series on passed_rules from the beginning of the dataset so I can see relative performance.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-08-047?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 validation rule result records and need both exact deduplication and Base-100 series normalization in a single call without any external data access. It is purpose-built for data quality/validation pipeline analytics and is more efficient than running deduplication and indexing as separate steps. Prefer it over generic analytics tools when your data already conforms to the row_id/dataset_group/date/passed_rules/total_rules schema.
Side effects
- Fewer than 1 row supplied — violates minItems constraint
- More than 200 rows supplied — violates maxItems constraint
- Invalid date format (not YYYY-MM-DD) causes schema rejection
- Missing required fields (row_id, dataset_group, date, passed_rules, total_rules) cause validation errors
- base_index out of range (must be 0–199 and within actual row count)
- Null values in passed_rules or total_rules may affect Base-100 computation
- Non-numeric values in numeric fields cause processing errors
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| base_index | integer |
Tags
x402
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