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Request Latency String Normalisation + IQR Outlier Flags
x402
Request Latency String Normalisation + 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 2026-10-24).
Normalises latency_ms or request_count strings and flags IQR-based outliers across up to 200 rows of request latency data, producing two analytical reports per call.
Price / call$0.01
Success—
StatusUnknown
How this service works
Request latency — String normalisation + IQR outlier flags: String normalisation + IQR outlier flags for supplied request latency records (latency_ms, request_count). 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 per call: (1) string-normalised versions of the selected field (latency_ms or request_count) per row, and (2) IQR-based outlier flags per row indicating which records fall outside the interquartile range. Results are scoped to the supplied rows (up to 200) with no external data fetched.
Example use cases
API performance anomaly detection
“I have 120 rows of daily request latency logs for three microservices from last quarter — can you normalise the latency_ms values and flag which rows are IQR outliers so I know which days had abnormal performance?”
Request count spike investigation
“Here are 80 rows of request_count data across two service components from the past month — please normalise the values and use IQR outlier flagging on the request_count field to highlight any traffic spikes.”
Multi-component latency data cleanup
“I've got latency records for four service groups covering 150 days and I need both string normalisation and IQR outlier flags on the latency_ms field — can you run both analytical reports on this data?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-software-03-032?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 rows of request latency or request count records and need both string normalisation and IQR-based outlier detection in a single cheap call ($0.01 USDC for two reports). Ideal for lightweight, offline statistical cleaning of performance logs without needing a full analytics platform or live data pipeline. Not suitable when you need prediction, real-time monitoring, datasets larger than 200 rows, or professional performance assessment.
Side effects
- More than 200 rows submitted — request rejected or truncated
- Missing required fields (row_id, date, component, latency_ms, request_count) — validation error
- Invalid date format (not YYYY-MM-DD) — schema validation failure
- All values null for the selected field — IQR computation undefined
- Payment not submitted or incorrect amount — x402 payment required error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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