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Endpoint Telemetry — String Normalisation + IQR Outlier Flags
x402
Endpoint Telemetry — 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 2026-11-02).
Normalises string fields and flags IQR-based outliers in endpoint telemetry records containing agent_count and reporting_agents metrics, returning two analytical reports for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Endpoint telemetry — String normalisation + IQR outlier flags: String normalisation + IQR outlier flags for supplied endpoint telemetry records (agent_count, reporting_agents). 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 covering: (1) string-normalised telemetry records and (2) IQR-based outlier flags identifying which rows have statistically anomalous values for the selected field (agent_count or reporting_agents), for up to 200 input rows.
Example use cases
Outlier detection in agent fleet telemetry
“I've got daily telemetry records for my agent fleet across two control groups — can you normalize the strings and flag any rows where agent_count is a statistical outlier using IQR analysis? I have about 50 rows covering the past two months.”
Reporting agents anomaly check
“Can you run string normalization and IQR outlier flagging on my endpoint telemetry for the reporting_agents field? I want to know which of my 120 rows are statistically anomalous.”
Control group telemetry quality audit
“I want to clean up my endpoint telemetry dataset — it has agent_count and reporting_agents columns for two control groups over a date range. Can you normalize the string fields and give me two analytical reports identifying IQR outliers in the agent_count column?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-security-15-032?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have structured endpoint telemetry data (up to 200 rows) with agent_count and reporting_agents metrics and need both string normalisation and IQR-based outlier detection in a single call without any live lookup, prediction, or external action. It is purpose-built for batch telemetry quality checks on agent fleet monitoring data at minimal cost ($0.01 USDC for two reports).
Side effects
- More than 200 rows submitted — request exceeds maxItems limit
- Missing required fields (row_id, date, control_group, agent_count, reporting_agents) cause validation errors
- Invalid date format (must be YYYY-MM-DD pattern) triggers schema rejection
- Null or non-numeric values in agent_count or reporting_agents may affect outlier computation
- Invalid field enum value (must be 'agent_count' or 'reporting_agents') causes rejection
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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