Property reference

metric_name_analysis.add_detected_constant_candidate

The metric_name_analysis.add_detected_constant_candidate property enables the detection of near-constant metrics for anomaly analysis. Admins should review this setting to ensure accurate monitoring of metrics that may require anomaly detection based on their data patterns.

Default
true
Type
boolean
Application
Global

Key questions about this property

The answers below summarize the purpose, scope, default effect, and review scenarios for this property.

What does it do? This boolean property determines whether metrics can be analyzed for near-constant behavior, impacting anomaly detection capabilities.
What area does it affect? Metric Analysis and Monitoring
What does the default mean? The default value is "true", which means this behavior is enabled by default.
When should you review it? Review this property when configuring metrics for anomaly detection or adjusting monitoring strategies.

Out of the box property record

Raw metadata from the property record.

Property name metric_name_analysis.add_detected_constant_candidate
Sys ID 9604a505834c1b10cb209530ceaad35f
Type boolean
Application Global
Default value true
Description
Updated 2026-10-18 19:14:26

Sources

Official references and nearby text excerpts where this property appears.

Context preview Snippet 1
... more metrics to be measured for anomalies, contact customer support. Requires a minimum of 30 data points in the series, as set by the corrupt_data_count_threshold configuration setting. Enabled when the metric_name_analysis.add_detected_constant_candidate system property is set to true. To overwrite the value of this property for a specific metric type, update the Detected Constant Candidate field in the Metric Types table by ...

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