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Schema Conformity Record Quality Audit + Deduplication + IQR Outlier Flags
x402
Schema Conformity Record Quality Audit + Deduplication + IQR Outlier Flags is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-18).
Runs three analytical reports on schema conformity records: a record quality audit, exact row deduplication, and IQR-based outlier flagging for valid_records or checked_records fields.
Price / call$0.01
Success—
StatusUnknown
How this service works
Schema conformity — Record quality audit + Exact row deduplication + IQR outlier flags: Record quality audit + Exact row deduplication + IQR outlier flags 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 completeness and field-level issues, (2) an exact row deduplication report identifying identical rows, and (3) IQR-based outlier flags on the selected numeric field (valid_records or checked_records). All analysis is performed locally on the supplied data with no external lookups.
Example use cases
ETL pipeline conformity audit
“I've got 150 rows of daily schema conformity records across three dataset groups — can you audit the record quality, deduplicate any exact duplicate rows, and flag IQR outliers in the valid_records column so I can clean up before my ETL run?”
Duplicate detection in validation logs
“My validation log has entries from January through March 2025 with row IDs, dataset groups, and valid/checked record counts — run the exact deduplication report on these so I can see which rows are exact copies before I import them.”
Outlier spotting in checked_records
“I suspect some of my checked_records values are statistically anomalous — can you run the IQR outlier flagging report on my conformity dataset using the checked_records field across these 80 rows?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-02-220?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need three bundled data quality reports (audit + dedup + outlier detection) on schema conformity data in a single low-cost call. Ideal for datasets up to 200 rows where you want IQR-based statistical outlier detection alongside exact duplicate removal and a quality audit, without needing external data sources or predictions. Best suited for batch pre-processing of conformity tracking data before downstream ETL or reporting pipelines.
Side effects
- Exceeds 200-row limit — request rejected
- Missing required fields (row_id, date, valid_records, checked_records) — validation error
- Invalid date format (not YYYY-MM-DD) — schema rejection
- Invalid field enum value (not valid_records or checked_records) — error
- Empty rows array — minimum 1 item required
- Numeric values outside allowed range ±1,000,000,000,000 — schema rejection
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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