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Schema Conformity Analytics — Daily Sum Series & Adjacent Row Changes
x402
Schema Conformity Analytics — Daily Sum Series & 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).
Computes a daily sum time series and adjacent row-to-row change report for schema conformity metrics (valid_records, checked_records) from up to 200 supplied rows, returning two analytical reports per call.
Price / call$0.01
Success—
StatusUnknown
How this service works
Schema conformity — Daily sum series + Adjacent row changes: Daily sum series + 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 analytical reports: (1) a daily sum series aggregating the selected field (valid_records or checked_records) by date, and (2) an adjacent row change report showing the difference between each consecutive row's value — all computed locally from the supplied rows with no external lookups.
Example use cases
Daily QA pipeline conformity trending
“I've got daily schema conformity records for our ETL pipeline across two dataset groups — can you give me the daily sum series and row-over-row changes for valid_records so I can spot where validation started dropping?”
Checked records audit delta review
“Here are 80 rows of schema conformity logs with dates and checked_records counts — run the daily sum series and adjacent row change analysis on checked_records so I can see which days had the biggest jumps.”
Multi-group conformity comparison over time
“I have conformity data across four dataset groups spanning 3 months — can you compute the daily totals and consecutive row changes for valid_records so I can compare how each group trended?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-02-137?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 rows of schema conformity data with date, group, valid_records, and checked_records fields and need both a daily aggregated sum series and sequential row-change analysis in a single low-cost call. Ideal for lightweight data quality trend analysis without needing a full BI platform or live data connection.
Side effects
- Fewer than 1 row supplied — rejected by minItems validation
- More than 200 rows supplied — rejected by maxItems constraint
- Invalid date format (not YYYY-MM-DD) — schema pattern validation failure
- Missing required fields (row_id, dataset_group, date, valid_records, checked_records) — schema validation error
- Field selector not one of 'valid_records' or 'checked_records' — enum validation failure
- Null values in the selected metric field may produce null deltas or be excluded from sums
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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