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Validation Rule Results — Secondary-Measure Weighted Mean + Keyed Dataset Comparison
x402
Validation Rule Results — Secondary-Measure Weighted Mean + 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 2026-10-11).
Computes a secondary-measure weighted mean and performs a keyed dataset comparison on validation rule results records (passed_rules, total_rules) for up to 200 rows across two independent reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Validation rule results — Secondary-measure weighted mean + Keyed dataset comparison: Secondary-measure weighted mean + Keyed dataset comparison 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) a secondary-measure weighted mean of the selected field (passed_rules or total_rules), weighted by the complementary measure, and (2) a keyed dataset comparison between the primary and secondary supplied datasets, both computed locally without external lookups. Results cover up to 200 rows of input data.
Example use cases
Data quality pipeline drift detection
“I have two runs of my data quality pipeline — last week and this week — each with up to 150 rows of passed_rules and total_rules by dataset_group and date. Can you run a weighted mean on passed_rules and compare the two runs side by side so I can see where rule compliance dropped?”
Validation rule pass rate benchmarking
“We have two environments, staging and production, each with about 80 rows of validation rule results. Can you compute the secondary-measure weighted mean of total_rules for each environment and do a keyed comparison to see how they differ?”
Cross-group rule compliance analysis
“I want to analyze rule compliance across group-a and group-b for October — here are 120 rows of passed_rules and total_rules. Please compute the weighted mean and also compare against our baseline dataset to flag any significant differences.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-08-186?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both a weighted mean computation and a keyed dataset comparison on validation rule results in a single call, especially for data quality monitoring workflows where passed_rules and total_rules are the core metrics. It is well-suited for batch analytical jobs on up to 200 rows where no external data lookup or live prediction is required and the $0.01 flat fee covers both reports.
Side effects
- Input array exceeds 200 rows — request will be rejected or truncated
- Missing required fields (row_id, dataset_group, date, passed_rules, total_rules) cause validation errors
- Null values in passed_rules or total_rules may affect weighted mean calculation
- Date strings not matching YYYY-MM-DD pattern will fail schema validation
- Empty rows array (minItems:1 violated) returns an error
- Mismatched row_ids between primary and comparison dataset may reduce keyed comparison coverage
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| other | array |
Tags
x402
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