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Schema Conformity Analytics — Record Quality Audit, Exact Row Deduplication & Trailing Mean Series
x402
Schema Conformity Analytics — Record Quality Audit, Exact Row Deduplication & Trailing Mean 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 independent analytical reports (record quality audit, exact row deduplication, and trailing mean series) on user-supplied schema conformity data (valid_records, checked_records) for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Schema conformity — Record quality audit + Exact row deduplication + Trailing mean series: Record quality audit + Exact row deduplication + Trailing mean 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 summarizing valid vs checked record counts and quality ratios per group/date, (2) an exact row deduplication report identifying and removing perfectly identical rows, and (3) a trailing mean series computing a rolling average of the selected field (valid_records or checked_records) over the specified window size — all computed locally on the supplied data without any external lookups.
Example use cases
Data pipeline validation audit
“I have a week's worth of schema conformity logs across two dataset groups — can you run a full record quality audit, deduplicate any repeated rows, and compute a trailing mean of valid_records with a window of 3? Here are the rows: group-a: 2024-03-01 valid=500 checked=550, 2024-03-02 valid=480 checked=540, group-b: 2024-03-01 valid=300 checked=310, 2024-03-02 valid=300 checked=310.”
Duplicate detection in compliance logs
“My compliance team uploaded schema conformity records and I suspect some rows were logged twice. Can you run the exact row deduplication report on these entries and also give me the record quality audit? Data: row-1 group-a 2024-05-10 valid=200 checked=220, row-2 group-a 2024-05-10 valid=200 checked=220, row-3 group-b 2024-05-11 valid=150 checked=160.”
Rolling average trend analysis
“I want to track how my checked_records metric has been trending — can you calculate the trailing mean series with a window of 4 on this schema conformity data and also run the quality audit? Rows span 2024-06-01 through 2024-06-06 for dataset group 'etl-pipeline' with checked_records values of 400, 420, 390, 410, 430, 405.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-02-216?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have tabular schema conformity data (valid/checked record counts) and need all three of: a quality audit, deduplication, and a rolling mean — in a single low-cost call. Ideal for batch data quality checks on up to 200 rows without needing live external data, predictions, or professional assessments. Not suitable if you need real-time data ingestion, machine learning predictions, or reports on fields beyond valid_records and checked_records.
Side effects
- Fewer than 1 row supplied — validation error
- More than 200 rows submitted — rejected with maxItems error
- Missing required fields (row_id, dataset_group, date, valid_records, checked_records) — schema validation failure
- Date field does not match YYYY-MM-DD pattern — rejected
- Window value outside 2–200 range — validation error
- Field value not one of 'valid_records' or 'checked_records' — enum validation error
- All rows are null for the selected field — trailing mean may return empty or null series
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| window | integer |
Tags
x402
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