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Transformation Throughput — Trailing Mean Series + IQR Outlier Flags
x402
Transformation Throughput — Trailing Mean Series + 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).
Computes trailing mean time series and IQR-based outlier flags for transformation throughput records (processed_rows or duration_seconds) over up to 200 rows, returning 2 analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Transformation throughput — Trailing mean series + IQR outlier flags: Trailing mean series + 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
Two analytical reports: (1) a trailing mean time series for the selected field (processed_rows or duration_seconds) computed over the specified window size, and (2) IQR-based outlier flags identifying which rows fall outside the interquartile range — both derived entirely from the supplied input rows with no external lookups.
Example use cases
ETL pipeline anomaly detection
“I have 120 daily ETL run records with processed_rows and duration_seconds. Can you run the trailing mean series with a window of 7 and flag any IQR outliers in the processed_rows field so I can spot which runs behaved abnormally?”
Batch job duration trend analysis
“Here are 90 transformation job records — please compute the trailing mean series for duration_seconds using a window of 10 and tell me which runs are flagged as outliers by the IQR method.”
Data quality check on throughput variance
“My team wants to review throughput consistency across two dataset groups over the last 60 runs. Can you analyze processed_rows with a trailing window of 5 and highlight any IQR-flagged outliers in the results?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-13-149?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both a rolling/trailing mean time series AND IQR outlier detection on ETL or data transformation throughput metrics (processed_rows or duration_seconds) in a single call. It is purpose-built for pipeline performance analytics on supplied historical records — not for live monitoring, predictions, or non-throughput datasets. Prefer it over general statistics APIs when you specifically need the IQR+trailing-mean combination on transformation job data with up to 200 rows.
Side effects
- Fewer than 1 row supplied — minimum 1 row required
- More than 200 rows supplied — maxItems limit exceeded
- Invalid date format (must be YYYY-MM-DD)
- Missing required fields (row_id, dataset_group, date, processed_rows, duration_seconds)
- Window size less than 2 or greater than 200
- Payment failure via x402 protocol — endpoint returns 402 if USDC payment not confirmed
- Null numeric values may affect trailing mean computation
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| window | integer |
Tags
x402
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