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Transformation Throughput — Duplicate Key Report + IQR Outlier Flags
x402
Transformation Throughput — 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 2026-10-28).
Analyzes supplied transformation throughput records to produce a duplicate key report and IQR-based outlier flags for processed_rows or duration_seconds fields, across up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Transformation throughput — Duplicate key report + IQR outlier flags: Duplicate key report + IQR outlier flags for supplied transformation throughput records (processed_rows, duration_seconds). 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 for the submitted rows: (1) a duplicate key report identifying any row_id values that appear more than once, and (2) an IQR outlier report flagging records where the selected numeric field (processed_rows or duration_seconds) falls outside the interquartile range bounds. No external data sources or live predictions are used.
Example use cases
Pipeline throughput anomaly detection
“I have 50 daily ETL job records with row_id, dataset_group, date, processed_rows, and duration_seconds. Can you find any duplicate row IDs and flag which records have statistically unusual processed_rows values using IQR outlier detection?”
Duration outlier audit for slow jobs
“Here are 120 transformation throughput records from our data team — please run a duplicate key check and then flag any duration_seconds values that are IQR outliers so I know which jobs took abnormally long.”
Data quality check before pipeline reporting
“Before I generate our monthly pipeline report, can you audit these 80 throughput records for duplicate keys and IQR outliers in the processed_rows field? I want to catch any bad data before it skews our metrics.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-13-065?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both duplicate key detection and IQR-based outlier flagging on transformation throughput data (processed_rows, duration_seconds) in a single call. It is purpose-built for ETL/pipeline data quality auditing without requiring external lookups or live data connections, and covers up to 200 rows per call at a fixed low cost. Prefer this over general-purpose data tools when you want co-located duplicate and outlier analysis on pipeline metrics with a predictable schema.
Side effects
- Empty or missing rows array returns validation error
- More than 200 rows submitted exceeds the per-call limit
- Invalid date format (not YYYY-MM-DD) causes schema rejection
- Missing required fields (row_id, dataset_group, date, processed_rows, duration_seconds) causes item-level failure
- Insufficient data points for IQR computation (e.g. fewer than 4 rows) may yield degenerate outlier results
- Invalid field enum value other than processed_rows or duration_seconds returns error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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