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Schema Conformity — Category Frequencies + Keyed Dataset Comparison
x402
Schema Conformity — Category Frequencies + 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 2026-10-15).
Analyzes schema conformity records (valid_records, checked_records) to produce category frequency breakdowns and a keyed comparison between two supplied datasets, up to 200 rows each.
Price / call$0.01
Success—
StatusUnknown
How this service works
Schema conformity — Category frequencies + Keyed dataset comparison: Category frequencies + 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 category frequency table breaking down valid_records and checked_records counts by dataset_group across all supplied rows, and (2) a keyed dataset comparison aligning rows from the primary and secondary datasets by row_id to surface differences in valid_records and checked_records values. No external lookups or predictions are made — all analysis uses the supplied data only.
Example use cases
Monthly schema conformity drift report
“I have this month's and last month's schema conformity logs, each up to 150 rows with columns row_id, dataset_group, date, valid_records, and checked_records. Run a category frequency breakdown and keyed comparison between the two so I can see which groups have drifted in conformity.”
Two-pipeline validation rate comparison
“We have two data pipelines — pipeline A and pipeline B — both producing schema conformity records with valid_records and checked_records per group and date. Can you compare their category frequencies and do a keyed dataset comparison across up to 200 rows each to find where they diverge?”
Pre- and post-migration data quality audit
“After our database migration I want to compare schema conformity before and after: I have two datasets of up to 100 rows each with row_id, dataset_group, date, valid_records, and checked_records. Please give me the category frequencies and a keyed row-by-row comparison of the two.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-02-111?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have two separate batches of schema conformity records (valid_records, checked_records) and need both a grouped frequency summary and a direct keyed row-level comparison in a single low-cost call. It is ideal for data quality audits, pipeline comparisons, and conformity drift analysis where all data is already available locally and no external enrichment or real-time lookup is needed. At $0.01 USDC for both reports covering up to 200 rows, it is cost-effective for routine data governance workflows.
Side effects
- Missing required fields (row_id, dataset_group, date, valid_records, checked_records) cause validation errors
- Exceeding 200 rows in either array returns an error
- Invalid date format (not YYYY-MM-DD) causes schema rejection
- Null values in valid_records or checked_records may affect aggregation results
- Empty rows array returns an error (minItems: 1)
- Mismatched row_ids between primary and comparison datasets may produce empty keyed comparison results
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| other | array |
Tags
x402
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