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Schema Conformity Analytics: Grouped Numeric Summary + Adjacent Row Changes
x402
Schema Conformity Analytics: Grouped Numeric Summary + 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 2026-10-17).
Analyzes schema conformity records (valid_records, checked_records) to produce two reports: a grouped numeric summary by dataset group and an adjacent row change analysis, for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Schema conformity — Grouped numeric summary + Adjacent row changes: Grouped numeric summary + Adjacent row changes for supplied schema conformity records (valid_records, checked_records). 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
Two independent analytical reports for up to 200 supplied rows: (1) a grouped numeric summary of the chosen field (valid_records or checked_records) broken down by dataset_group, including aggregates such as count, sum, mean, min, and max; (2) an adjacent row change report showing the delta of the chosen field between consecutive rows, enabling trend and anomaly detection.
Example use cases
Data quality dashboard grouped rollup
“I have daily schema conformity records for two dataset groups over the past month — can you group them and give me a numeric summary of valid_records by dataset group, plus show me how valid_records shifted between each consecutive row?”
Audit consecutive row changes in validation pipeline
“Here are 50 rows of our schema validation pipeline output with checked_records per day per group — I need to see both the grouped statistics and the row-to-row changes in checked_records so I can spot anomalies.”
Weekly schema health review across datasets
“I want to review schema conformity for our datasets this week — I have rows with dataset_group, date, valid_records, and checked_records. Generate a grouped numeric summary and flag how valid_records changed between adjacent rows.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-02-091?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have schema conformity records with valid_records and checked_records fields and need both a group-level numeric rollup and a sequential row change analysis in a single low-cost call. It is purpose-built for data quality and schema validation analytics workflows, requiring no external lookups or live data — ideal for offline batch reporting on up to 200 rows at $0.01 USDC for both reports simultaneously.
Side effects
- Input array empty or missing required fields (row_id, dataset_group, date, valid_records, checked_records) returns validation error
- More than 200 rows submitted exceeds maxItems limit and is rejected
- Invalid date format (not YYYY-MM-DD) fails pattern validation
- Field selector not one of 'valid_records' or 'checked_records' returns enum error
- null numeric values in valid_records or checked_records may produce null deltas in adjacent row change report
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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