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Data Validation Results – Daily Sum Series
x402
Data Validation Results – Daily Sum Series is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-15).
Computes daily sum time-series statistics for data validation results (checked_records or failed_records) across up to 200 typed records, grouped by date and rule.
Price / call$0.01
Success—
StatusUnknown
How this service works
Data validation results - Daily sum series: Daily sum 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 daily sum series report.
Output
Returns a daily sum time-series report aggregating the selected numeric field (checked_records or failed_records) across all supplied validation records, grouped by date. Each point in the series represents the total value for that day, providing a bounded descriptive analytics view with no enrichment or forecasting.
Example use cases
Daily data quality trend report
“I've got a week's worth of validation logs — each row has a date, rule name, and counts of checked vs failed records. Can you aggregate them into a daily sum series for failed_records so I can see which days had the worst data quality?”
Checked records volume by day
“Here are 120 validation result records from our ETL pipeline, each tagged with a date and rule. Summarize the total checked_records per day so I can see our daily processing volume as a time series.”
Rule-grouped validation failure analysis
“I want to understand how many records failed our 'group-a' and 'group-b' validation rules each day last month. I have the raw records with dates and fail counts — can you compute the daily sum series for failed_records?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ar-analytics-validation-results-date-series?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have raw, typed validation result records with date stamps and need a quick local daily-sum aggregation with no external data enrichment or forecasting. It is ideal for data quality dashboards, ETL monitoring, or pipeline health checks where you already have structured validation logs and want a bounded descriptive time-series summary at low cost ($0.01 per call). Prefer alternatives if you need forecasting, anomaly detection, or enrichment with external data sources.
Side effects
- Empty or missing rows array returns an error
- Records exceeding 200 items are rejected (maxItems constraint)
- Invalid date format (not YYYY-MM-DD) causes validation failure
- Missing required fields (row_id, rule, date, checked_records, failed_records) in any row causes rejection
- Numeric values outside ±1,000,000,000,000 are rejected
- Invalid field enum value (anything other than checked_records or failed_records) returns an error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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