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Transformation Throughput Analytics — IQR Outlier Flags + Secondary-Measure Weighted Mean
x402
Transformation Throughput Analytics — IQR Outlier Flags + Secondary-Measure Weighted Mean 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 transformation throughput records (processed_rows, duration_seconds) to produce IQR-based outlier flags and a secondary-measure weighted mean, delivered as two independent reports for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Transformation throughput — IQR outlier flags + Secondary-measure weighted mean: IQR outlier flags + Secondary-measure weighted mean 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: (1) IQR-based outlier flags for each row indicating whether the primary measure falls outside the interquartile range, and (2) a weighted mean of the secondary measure across the supplied records. Both reports are computed locally from the submitted data with no external lookups.
Example use cases
ETL pipeline outlier audit
“I have a batch of 120 daily ETL job records with processed_rows and duration_seconds for two groups — 'ingest' and 'transform'. Flag any outliers by IQR and give me the weighted mean for processed_rows.”
Duration anomaly detection for pipeline runs
“Here are 80 transformation job records across four dataset groups — can you run IQR outlier detection on duration_seconds and compute the secondary-measure weighted mean so I can spot which runs are taking abnormally long?”
Weekly throughput summary with statistical flags
“I want to review last week's transformation throughput — I have 40 records with row_id, date, dataset_group, processed_rows, and duration_seconds. Flag the outliers and give me the weighted mean report using processed_rows as the primary measure.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-13-177?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 transformation throughput records and need both IQR-based outlier detection and a weighted mean in a single call for a flat $0.01 USDC fee. It is ideal for data engineers or analysts who want fast, local statistical summaries of ETL job performance without needing external data, predictions, or professional assessments. Prefer alternatives if you need more than 200 rows, real-time monitoring, or additional statistical methods beyond IQR and weighted mean.
Side effects
- Fewer than 1 row submitted — request rejected
- More than 200 rows submitted — exceeds max item limit
- Missing required fields (row_id, date, processed_rows, duration_seconds) — validation error
- Invalid date format (not YYYY-MM-DD) — schema validation failure
- Null values for both measures may cause degraded or undefined weighted mean output
- Invalid field enum value (not 'processed_rows' or 'duration_seconds') — rejected by schema
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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