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Data Validation Results – Base-100 Index Series
x402
Data Validation Results – Base-100 Index Series is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-16).
Computes a base-100 indexed time series from up to 200 supplied data validation result records (checked vs. failed records per rule and date), returning local descriptive analytics with no enrichment or forecasting.
Price / call$0.01
Success—
StatusUnknown
How this service works
Data validation results - Base-100 series: Base-100 series 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 base-100 series report.
Output
Returns a base-100 indexed series computed from the supplied validation records for the selected field (checked_records or failed_records), along with local descriptive analytics such as relative changes over time, all scoped to the provided data with no external enrichment or forecasting.
Example use cases
QA pipeline trend report
“I have a week's worth of daily validation run results with checked and failed record counts per rule — can you normalize them into a base-100 index series on failed_records starting from the first row so I can see how failure rates trended relative to that baseline?”
Data quality benchmarking across rules
“Here are 50 validation result rows across three different data rules over the past month. Index the checked_records to base-100 starting at row index 0 so I can compare each rule's throughput trend on a common scale.”
Audit report for data ingestion review
“I need a descriptive analytics report for our data ingestion validation results from last quarter — I have up to 150 records with dates, rule names, and checked vs failed counts. Can you run a base-100 index on the failed_records field anchored to the first row?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ar-analytics-validation-results-index?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have raw data validation result records (checked and failed counts by rule and date) and need a normalized base-100 index series for trend comparison or reporting — especially when you want local descriptive analytics without external data enrichment, forecasting, or cross-dataset joins. It is ideal for lightweight, self-contained QA reporting workflows processing up to 200 records at a time.
Side effects
- Empty or missing rows array returns a validation error
- Rows exceeding 200 items are rejected (maxItems constraint)
- Invalid date format (non-YYYY-MM-DD) causes schema validation failure
- base_index out of range (0–199) returns an error
- Null values in numeric fields may affect index computation
- Missing required fields (row_id, rule, date, checked_records, failed_records) cause rejection
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| base_index | integer |
Tags
x402
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