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Schema Conformity Analytics — Daily Sum Series + Two-Measure Correlation
x402
Schema Conformity Analytics — Daily Sum Series + Two-Measure Correlation 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).
Computes a daily sum time series and a two-measure correlation report for schema conformity data (valid_records vs checked_records) across up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Schema conformity — Daily sum series + Two-measure correlation: Daily sum series + Two-measure correlation 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 independent analytical reports: (1) a daily sum time series aggregating the selected field (valid_records or checked_records) by date, and (2) a Pearson or equivalent correlation between valid_records and checked_records across all supplied rows. Both reports are computed locally from the supplied data with no external lookups.
Example use cases
Daily data quality audit rollup
“I have 150 rows of schema conformity logs from October — each row has a date, a dataset group, and counts for valid_records and checked_records. Can you give me a daily sum series and also tell me how correlated those two measures are?”
Cross-group conformity trend check
“We have two dataset groups, group-a and group-b, and I want to see the daily totals of checked_records over the past two weeks and whether valid_records and checked_records move together — can you run both reports at once?”
Validation pipeline health summary
“My data pipeline logs valid and checked record counts every day. Can you aggregate those into a daily sum series for valid_records and compute the correlation between valid_records and checked_records so I can see if the pipeline is performing consistently?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-02-141?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both a daily aggregation time series AND a correlation analysis on schema conformity data (valid_records, checked_records) in a single low-cost call. It is purpose-built for data quality and validation workflows where you want to understand daily trends and inter-metric relationships without setting up a local analytics stack or paying for a full BI platform.
Side effects
- Missing required fields (row_id, date, valid_records, checked_records) cause validation errors
- Date strings not matching YYYY-MM-DD pattern are rejected
- Submitting more than 200 rows exceeds the maxItems limit
- Null values in both numeric fields may reduce correlation reliability
- Empty rows array (minItems:1 violated) returns an error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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