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Schema Conformity Analytics: Category Frequencies + Adjacent Row Changes
x402
Schema Conformity Analytics: Category Frequencies + 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 local analytical reports: category frequency distributions by dataset_group and adjacent-row change detection, for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Schema conformity — Category frequencies + Adjacent row changes: Category frequencies + 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
Returns two analytical reports computed locally on the supplied rows: (1) a category frequency table showing how often each dataset_group value appears across the submitted rows, and (2) an adjacent row change report showing where the selected field (valid_records or checked_records) differs between consecutive rows, including the magnitude of change.
Example use cases
Data quality audit group breakdown
“Here are 150 rows of schema conformity logs with dataset_group, date, valid_records, and checked_records — give me a frequency breakdown of how often each dataset group appears and show me where valid_records changes between adjacent rows.”
Detecting validation drift over time
“I have daily schema conformity records for the past 6 months and I want to see how checked_records shifts from one row to the next and which dataset groups dominate the dataset — can you run those two reports on the checked_records field?”
Data pipeline conformity review
“We just finished a batch validation run and I have the results as 80 rows with row_id, dataset_group, date, valid_records, and checked_records — please analyze category frequencies by group and flag any adjacent row changes in valid_records.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-02-104?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 rows of schema conformity data (with valid_records and checked_records) and need two lightweight, locally computed analytical summaries — category frequencies by group and row-to-row change detection — without requiring live lookups, ML predictions, or external integrations. It is cost-effective at $0.01 USDC for both reports simultaneously.
Side effects
- Fewer than 1 row submitted — validation error
- More than 200 rows submitted — request rejected or truncated
- Missing required fields (row_id, dataset_group, date, valid_records, checked_records) — schema validation failure
- Invalid date format (must match YYYY-MM-DD) — pattern validation error
- field enum value not 'valid_records' or 'checked_records' — rejected
- Null numeric values may affect adjacent change calculations
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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