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Schema Conformity Analytics: Record Quality Audit + Exact Row Deduplication + Base-100 Series
x402
Schema Conformity Analytics: Record Quality Audit + Exact Row Deduplication + Base-100 Series is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-14).
Runs three local analytical reports on schema conformity data (valid_records, checked_records): a record quality audit, exact row deduplication, and a base-100 indexed series — for up to 200 rows per call.
Price / call$0.01
Success—
StatusUnknown
How this service works
Schema conformity — Record quality audit + Exact row deduplication + Base-100 series: Record quality audit + Exact row deduplication + Base-100 series for supplied schema conformity records (valid_records, checked_records). Up to 200 rows; 3 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 3 supplied-data reports for up to 200 rows.
Output
Returns three independent analytical reports: (1) a record quality audit flagging anomalies and missing values in the conformity data, (2) an exact row deduplication report identifying and listing fully duplicate rows, and (3) a base-100 indexed time series for the selected numeric field (valid_records or checked_records) relative to the chosen base row — all computed locally without external lookups.
Example use cases
Daily pipeline conformity health check
“I have a week of schema conformity logs with valid_records and checked_records for three dataset groups — run a record quality audit, deduplicate exact duplicate rows, and give me a base-100 series on valid_records starting from day 1.”
Identifying duplicate ingestion records
“My ETL pipeline may have double-ingested some rows into my conformity tracking table. Can you run the exact row deduplication report on these 50 records so I can see which ones are duplicates? The field I care about is checked_records.”
Baseline indexing for schema compliance trend
“Take my 30-day schema conformity dataset with valid_records and checked_records, and build a base-100 index series starting from row index 0 for valid_records so I can see the trend relative to the starting point.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-02-218?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 rows of schema conformity data (valid_records, checked_records) and need all three of: a quality audit, exact deduplication, and a base-100 indexed series — all in a single low-cost call ($0.01 USDC). It is ideal for offline/batch analytical use where no live data lookup, prediction, or external action is needed. Prefer alternatives if you need fuzzy deduplication, forecasting, or real-time monitoring.
Side effects
- Fewer than 1 row or more than 200 rows supplied — violates minItems/maxItems constraint
- row_id missing or empty string — required field validation error
- date field does not match YYYY-MM-DD pattern — pattern validation error
- valid_records or checked_records out of allowed numeric range — schema rejection
- base_index exceeds the number of rows supplied — index out of bounds error
- field value not one of 'valid_records' or 'checked_records' — enum validation error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| base_index | integer |
Tags
x402
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