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Schema Conformity — Adjacent Row Changes + Date by Category Pivot
x402
Schema Conformity — Adjacent Row Changes + Date by Category Pivot 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).
Analyzes schema conformity data (valid_records, checked_records) producing two reports: adjacent row change analysis and a date-by-category pivot, for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Schema conformity — Adjacent row changes + Date by category pivot: Adjacent row changes + Date by category pivot 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 data: (1) an adjacent row change report showing how the selected metric (valid_records or checked_records) shifts between consecutive rows, and (2) a date-by-category pivot table cross-tabulating the metric across dates and dataset_group values. No external lookups or predictions are made.
Example use cases
Data pipeline conformity trend review
“I have daily schema validation logs for two dataset groups across October — can you run adjacent row change analysis and a date-by-category pivot on my valid_records so I can spot where conformity dips or spikes?”
Checked records sequential comparison
“Run both the adjacent row change report and the date-by-category pivot on my conformity data using the checked_records field — I want to see how my checked record counts shift between consecutive rows and how they break down by group and date.”
Multi-group data quality audit
“I'm auditing schema quality for groups 'alpha', 'beta', and 'gamma' across 150 daily records — give me the adjacent row changes and the date-by-category pivot for valid_records so I can present both views in my quality review meeting.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-02-160?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 schema conformity records with valid_records and checked_records metrics and need both an adjacent row change analysis and a date-by-category pivot in a single low-cost call ($0.01 USDC). It is ideal for data quality monitoring workflows, offline batch analysis, or audit reporting where no external data enrichment or live predictions are needed — just two analytical views on your supplied dataset.
Side effects
- Fewer than 1 row supplied — minimum 1 row required
- More than 200 rows supplied — request rejected, maxItems is 200
- Invalid date format (not YYYY-MM-DD) — schema validation failure
- Numeric values outside ±1,000,000,000,000 range — rejected by schema
- Invalid field value (must be 'valid_records' or 'checked_records') — enum validation error
- Missing required fields (row_id, dataset_group, date) — schema error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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