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Validation Rule Results Analytics — Base-100 Series + Missing-Value Fill
x402
Validation Rule Results Analytics — Base-100 Series + Missing-Value Fill 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).
Computes a Base-100 indexed time series and fills missing values (zero/mean/median) for up to 200 rows of validation rule result data (passed_rules, total_rules), delivering two analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Validation rule results — Base-100 series + Explicit missing-value fill: Base-100 series + Explicit missing-value fill 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 Base-100 indexed time series for the selected field (passed_rules or total_rules), anchored to the specified base_index row, and (2) an explicit missing-value filled series using the chosen method (zero, mean, or median). Reports cover all supplied rows grouped by dataset_group and date.
Example use cases
Data quality trend benchmarking
“I want to benchmark how our passed_rules counts have changed over the past week relative to day one — can you generate a base-100 indexed series for the passed_rules field starting at index 0, filling any missing days with the median, for these 5 rows across dataset groups 'finance' and 'ops'?”
Missing validation data imputation
“Some of our total_rules entries are null for certain dates in October — can you fill those gaps using mean imputation and give me a base-100 series for total_rules starting at index 0 across these 200 rows of validation results?”
Multi-group compliance comparison
“We have validation results split across two dataset groups, 'schema-checks' and 'referential-integrity', recorded daily through Q4 — can you index the passed_rules metric to base 100 from the first row and fill missing values with zero, so I can compare how compliance tracks across both groups over time?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-08-169?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 rows of validation rule result records (passed_rules, total_rules) and need two specific analytical transforms: a Base-100 normalized index series anchored to a chosen row, and explicit missing-value imputation (zero, mean, or median). It runs entirely on supplied data with no external lookups, making it deterministic and suitable for offline or privacy-sensitive data quality analytics. Prefer this over general-purpose analytics tools when you specifically need indexed trend normalization combined with gap-filling for data quality metrics.
Side effects
- Fewer than 1 or more than 200 rows submitted — request rejected
- Invalid date format (not YYYY-MM-DD) — validation error
- base_index out of range (>= number of rows) — error returned
- Field or method enum value not recognized — schema validation failure
- All values null for a group — fill may produce degenerate output
- Missing required fields (row_id, dataset_group, date) — schema rejection
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| method | string | |
| base_index | integer |
Tags
x402
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