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Schema Conformity — Duplicate Key Report + IQR Outlier Flags
x402
Schema Conformity — Duplicate Key Report + 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 2026-10-15).
Analyzes up to 200 schema conformity records to produce a duplicate key report and IQR-based outlier flags for valid_records or checked_records fields.
Price / call$0.01
Success—
StatusUnknown
How this service works
Schema conformity — Duplicate key report + IQR outlier flags: Duplicate key report + IQR outlier flags 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 duplicate key report identifying rows with repeated row_id values, and (2) IQR-based outlier flags indicating which rows have statistically anomalous values in the selected field (valid_records or checked_records). Both reports are computed locally without external lookups.
Example use cases
Audit daily data pipeline conformity logs
“I have 120 rows of daily schema conformity records from our ETL pipeline — each with a row_id, dataset_group, date, valid_records, and checked_records. Can you run a duplicate key report and flag any IQR outliers in valid_records so I can spot bad batches?”
Detect outliers in records validation counts
“Here are 80 rows of checked_records counts across our validation runs — can you find any duplicate row IDs and flag which rows have statistically unusual checked_records values using IQR?”
Data quality monitoring for multiple dataset groups
“I want to audit schema conformity data for three dataset groups over the past month — about 150 rows total. Run the duplicate key report and IQR outlier check on valid_records so I know which dates or groups have suspect data.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-02-065?utm_source=zero.xyzWhen to prefer
Use this endpoint when you have tabular schema conformity records and need both duplicate key detection and statistical outlier flagging in a single low-cost call. Prefer this over generic data-quality tools when your data specifically tracks valid_records and checked_records per row with date and group identifiers, and you want IQR-based (robust, non-parametric) outlier detection rather than z-score or ML-based methods. Best for batch offline analysis of up to 200 rows rather than streaming or real-time monitoring.
Side effects
- Input array exceeds 200 rows — request will be rejected or truncated
- Missing required fields (row_id, date, valid_records, checked_records) cause row-level validation errors
- Date strings not matching YYYY-MM-DD pattern are rejected
- Null values in the selected numeric field may reduce outlier detection accuracy
- All values identical — IQR of zero means no outliers flagged even if data is suspicious
- Single-row input makes IQR computation meaningless
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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