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Schema Conformity Record Quality Audit + Daily Sum Series
x402
Schema Conformity Record Quality Audit + Daily Sum Series 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).
Runs two analytical reports on schema conformity data — a record quality audit and a daily sum time series — for up to 200 rows of valid_records and checked_records.
Price / call$0.01
Success—
StatusUnknown
How this service works
Schema conformity — Record quality audit + Daily sum series: Record quality audit + Daily sum series 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: (1) a record quality audit summarizing the distribution, anomalies, and completeness of the specified field across up to 200 rows, and (2) a daily sum time series aggregating valid_records or checked_records by date. Both reports are computed locally from the supplied data with no external lookups.
Example use cases
Daily conformity trend for ETL pipeline
“I've got 90 days of ETL conformity logs with valid_records and checked_records per day and dataset group — can you generate a daily sum series and quality audit for the valid_records field so I can see where our data pipeline is degrading?”
Monthly data quality review across teams
“Run a record quality audit and daily sum series on this month's conformity snapshot — I have around 120 rows tagged by team group with valid_records and checked_records — focus the field analysis on checked_records.”
Spot-check schema validation results
“I just got a batch of 30 schema validation results back, each with a date, dataset_group, valid_records count, and checked_records count — can you audit the record quality and show me the daily sums for valid_records?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-02-009?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 columns and need both a record quality audit and a daily sum time series in a single low-cost call ($0.01 USDC). It is ideal for offline, batch-style data quality checks where no live data lookup, external prediction, or professional assessment is needed — just local analytical computation on your supplied data.
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 numeric fields may affect aggregation completeness
- Invalid field enum value (anything other than valid_records or checked_records) causes a schema error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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