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Schema Conformity Analytics — Grouped Numeric Summary & Daily Sum Series
x402
Schema Conformity Analytics — Grouped Numeric Summary & 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).
Generates two analytical reports (grouped numeric summary and daily sum time series) for schema conformity records tracking valid_records and checked_records across dataset groups.
Price / call$0.01
Success—
StatusUnknown
How this service works
Schema conformity — Grouped numeric summary + Daily sum series: Grouped numeric summary + 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
Returns two independent analytical reports: (1) a grouped numeric summary (e.g., min, max, mean, count per dataset_group) and (2) a daily sum time series for the selected field (valid_records or checked_records), computed locally over the supplied rows (up to 200).
Example use cases
Data quality audit by dataset group
“I've got schema conformity records from last month across three dataset groups — run a grouped numeric summary and daily sum series on valid_records so I can see which groups are performing best.”
Daily trend review for checked records
“I want to see how checked_records changes day by day across my datasets for October 2026 — generate the daily sum time series and a grouped summary so I can spot any dips.”
Comparing valid vs checked record volumes
“Here are 150 rows of schema conformity data with valid_records and checked_records by group and date — give me both the grouped numeric summary and the daily sum series for checked_records so I can compare coverage over time.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-02-089?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 schema conformity records with valid_records and checked_records fields and need both a grouped summary (statistics by dataset_group) and a date-indexed daily sum series in a single call. Ideal for lightweight, offline analytical reporting without needing an external database or BI tool. Best suited when you want two complementary views — group-level aggregation and temporal trends — for data quality monitoring pipelines.
Side effects
- Missing required fields (row_id, dataset_group, 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 row limit and returns an error
- Null values in numeric fields may affect sum/summary calculations
- Empty rows array rejected (minItems: 1)
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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