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Data Validation Results – Adjacent Row Changes
x402
Data Validation Results – Adjacent Row Changes is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-18).
Computes adjacent row-over-row changes in checked or failed record counts for data validation results, returning local descriptive analytics for up to 200 typed records.
Price / call$0.01
Success—
StatusUnknown
How this service works
Data validation results - Adjacent row changes: Adjacent row changes 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 adjacent row changes report.
Output
Returns a bounded adjacent row changes report showing period-over-period deltas between consecutive rows for the selected field (checked_records or failed_records), including row identifiers, rule names, dates, and computed change values — purely local descriptive analytics with no external enrichment or forecasting.
Example use cases
Daily pipeline data quality monitoring
“I've got a week's worth of daily validation results for my ETL pipeline — each row has a date, rule name, checked records, and failed records. Can you run the adjacent row changes report on failed_records so I can see where failure counts spiked or dropped between consecutive days?”
Audit report on validation rule drift
“We ran our data validation suite across 30 dates and I need to show auditors how checked_records shifted between each adjacent period for rule 'null-check-primary'. Can you compute the row-over-row changes for the checked_records field across my validation results?”
Spotting anomalies in data quality trends
“Here are 80 rows of validation results from our data warehouse checks — each has a date, a rule label, and counts of checked and failed records. Run the adjacent row changes analysis on failed_records so I can spot any sudden anomalies between consecutive reporting periods.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ar-analytics-validation-results-period-change?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have sequential data validation result rows and need a lightweight, local period-over-period delta analysis on either checked or failed record counts — without requiring any external data enrichment or forecasting. It is ideal for ETL monitoring dashboards, data quality audits, or anomaly detection workflows where you want row-adjacent change summaries for up to 200 records at very low cost ($0.01 USDC per call).
Side effects
- Fewer than 1 row submitted returns a validation error
- More than 200 rows submitted exceeds the maxItems limit and is rejected
- Invalid date format (not YYYY-MM-DD) causes schema validation failure
- Missing required fields (row_id, rule, date, checked_records, failed_records) results in a 400 error
- Non-numeric values for checked_records or failed_records outside allowed range are rejected
- Invalid field enum value (not checked_records or failed_records) causes a bad request error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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