Get a monitor
Get a monitor by its ID.
The response shape varies by type (data_quality, performance,
drift, custom_metric, tracing)
Authorizations
Most Arize AI endpoints require authentication. For those endpoints that require authentication, include your API key in the request header using the format
Path Parameters
The unique monitor identifier (base64) A universally unique identifier (base64-encoded opaque string).
"RW50aXR5OjEyMzQ1"
Response
Returns a single monitor object
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A monitor. The type field discriminates which variant (and therefore which type-specific fields) applies.
Unique identifier for the monitor (base64 global ID).
Human-readable name of the monitor.
Required on create. Immutable after creation.
DATA_QUALITY The project that the monitor belongs to (base64 global ID).
The UI deep link to the monitor.
Current evaluation state. Read-only.
TRIGGERED, CLEARED, NO_DATA The monitor's threshold. The type field discriminates whether the threshold is manual or dynamic, and single or a bounded range.
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Whether notifications fire on a triggered transition.
Whether the monitor is evaluated manually rather than on the automatic cadence.
The user who created the monitor (base64 global ID).
When the monitor was created.
When the monitor was last updated.
The data quality metric computed over the selected dimension.
COUNT, PERCENT_EMPTY, CARDINALITY, NEW_VALUES, MISSING_VALUES, AVG, SUM, STANDARD_DEVIATION, P50, P95, P99, P99_9, AVERAGE_STRING_LIST_LENGTH The model versions the metric is scoped to. An empty array means all model versions.
Data filters applied to the monitor's metric. Omitted when the metric is computed over all data.
Notification channels (email / integration / webhook) notified on a triggered transition. Omitted when no channels are configured.
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Returned when schedule configuration exists.
The length of the evaluation window in seconds. Omitted when unset.
The delay applied before evaluating a window, in seconds. Omitted when unset.
The last time the metric was computed. Omitted if it has never been evaluated.
The most recently computed metric value. Omitted if it has never been evaluated.
Free-form notes attached to the monitor. Omitted when unset.
The comparison dataset configuration used by drift and comparison-based data quality monitors. The type field determines whether the comparison dataset uses the model's primary baseline or a custom fixed or moving window.
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