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Schema Conformity Analytics — Grouped Numeric Summary & Keyed Dataset Comparison
x402
Schema Conformity Analytics — Grouped Numeric Summary & Keyed Dataset Comparison 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 independent analytical reports on schema conformity records: a grouped numeric summary by dataset_group and a keyed comparison between two datasets, covering valid_records and checked_records fields for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Schema conformity — Grouped numeric summary + Keyed dataset comparison: Grouped numeric summary + Keyed dataset comparison 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 showing aggregate statistics (e.g. count, sum, min, max, mean) for the selected field broken down by dataset_group, and (2) a keyed dataset comparison showing row-by-row differences between the primary and secondary datasets matched on row_id. No external lookups or predictions are included — results are derived entirely from the supplied data.
Example use cases
Data quality audit between pipeline runs
“We just ran our nightly data pipeline and I have the before and after schema conformity snapshots — each has about 80 rows with row_id, dataset_group, date, valid_records, and checked_records. Please compare them on checked_records and also give me a grouped numeric summary so I can see which dataset groups changed the most.”
Monthly schema conformity group summary
“I've got this month's schema conformity records — around 120 rows with row_id, dataset_group (like 'finance', 'ops', 'hr'), date, valid_records, and checked_records. Can you group them and give me a numeric summary for valid_records so I can report on conformity by department?”
Spot-check two vendor dataset snapshots
“I received two schema conformity exports from different vendors, each with about 30 rows covering row_id, dataset_group, date, valid_records, and checked_records. Run the keyed comparison and the grouped summary on valid_records so I can see where they differ and how each group is performing.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-02-098?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both a grouped numeric summary AND a side-by-side keyed comparison of schema conformity data (valid_records, checked_records) in a single call at low cost ($0.01 USDC for both reports). It is ideal for data quality monitoring, pipeline auditing, and compliance reporting workflows where you have up to 200 structured conformity records and need offline, deterministic analysis without any external data enrichment or predictions.
Side effects
- Missing required fields (row_id, dataset_group, date, valid_records, checked_records) causes validation error
- More than 200 rows submitted returns an error or truncation
- Invalid date format (not YYYY-MM-DD) causes schema rejection
- Null values in valid_records or checked_records may affect summary statistics
- Empty rows array returns an error
- Mismatched row_ids between primary and comparison datasets may result in incomplete keyed comparison
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| other | array |
Tags
x402
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