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Data Validation Results - Keyed Dataset Comparison
x402
Data Validation Results - Keyed Dataset Comparison is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-17).
Compares two keyed datasets of data validation results (checked and failed records per rule per date) and returns a descriptive analytics comparison report.
Price / call$0.01
Success—
StatusUnknown
How this service works
Data validation results - Keyed dataset comparison: Keyed dataset comparison for Data validation results. Up to 200 supplied typed records. Local descriptive analytics; no enrichment or forecast. One of 25 new profiles across 20 shared operations in this industry. 0.01 USDC includes one bounded keyed dataset comparison report.
Output
A structured comparison report of two keyed datasets of validation results, showing differences in checked_records and failed_records per row_id and rule, with descriptive analytics summarizing where and how the two datasets diverge. No external enrichment or forecasting is included.
Example use cases
Pipeline regression detection after deployment
“I ran data validation before and after deploying a pipeline change — here are the two sets of results with row IDs, rules, dates, checked counts, and failed counts. Can you compare them and tell me which rules got worse?”
Weekly data quality trend comparison
“I have this week's and last week's data validation summary records, each with row IDs, rule names, dates, checked_records, and failed_records. Compare the two datasets and show me where failure rates increased.”
Staging vs production validation audit
“Can you compare these two validation result datasets — one from staging and one from production — and highlight which row IDs and rules have different checked or failed record counts between the two environments?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ar-analytics-validation-results-compare?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a structured, keyed side-by-side comparison of two data validation result sets — especially when rows are identified by rule and date keys and you want descriptive analytics on where failure counts or checked record counts differ. Prefer this over generic diff tools when your data is typed validation records (checked/failed counts per rule), and over time-series endpoints when the goal is cross-dataset comparison rather than trend analysis.
Side effects
- Empty or mismatched row_id keys between datasets causing no comparable rows
- Rows array below minimum of 1 item returns validation error
- More than 200 rows in either dataset exceeds the maxItems limit
- Invalid date format not matching YYYY-MM-DD pattern causes rejection
- Non-numeric or out-of-range values for checked_records or failed_records
- Payment failure or insufficient USDC balance preventing API access
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| other | array |
Tags
x402
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