Dynatrace · Schema
Dynatrace Metric Series
A time-series data series returned by the Dynatrace Metrics API v2 query endpoint, representing metric values for a specific set of dimensions over a time range.
AI OperationsAnalyticsAPMApplication Performance MonitoringApplication SecurityAutomationCloud MonitoringDigital Experience ManagementIntelligenceObservability
Properties
| Name | Type | Description |
|---|---|---|
| metricId | string | The metric key with applied transformations, e.g. builtin:host.cpu.usage:avg. This key identifies the metric and any selector transformations that were applied during the query. |
| data | array | Array of time series, one per unique dimension combination. Each item represents a distinct set of dimension values (e.g., a specific host or service) with its corresponding timestamps and metric valu |
JSON Schema
{
"$schema": "https://json-schema.org/draft/2020-12/schema",
"$id": "https://docs.dynatrace.com/schemas/metrics/metric-series.json",
"title": "Dynatrace Metric Series",
"description": "A time-series data series returned by the Dynatrace Metrics API v2 query endpoint, representing metric values for a specific set of dimensions over a time range.",
"type": "object",
"required": ["metricId", "data"],
"properties": {
"metricId": {
"type": "string",
"description": "The metric key with applied transformations, e.g. builtin:host.cpu.usage:avg. This key identifies the metric and any selector transformations that were applied during the query.",
"examples": [
"builtin:host.cpu.usage:avg",
"builtin:service.response.time:percentile(95)",
"custom.my.metric:sum"
]
},
"data": {
"type": "array",
"description": "Array of time series, one per unique dimension combination. Each item represents a distinct set of dimension values (e.g., a specific host or service) with its corresponding timestamps and metric values.",
"items": {
"$ref": "#/$defs/MetricSeries"
}
}
},
"$defs": {
"MetricSeries": {
"type": "object",
"title": "Metric Series",
"description": "A single time series for one unique combination of dimension values. Contains parallel arrays of timestamps and values where each index position corresponds to one data point.",
"required": ["timestamps", "values"],
"properties": {
"dimensionMap": {
"type": "object",
"description": "Key-value map of dimension names to their values for this series. For example, {\"host\": \"web-01\", \"environment\": \"production\"}. Provides named access to dimension values.",
"additionalProperties": {
"type": "string"
},
"examples": [
{"host": "web-01", "environment": "production"},
{"dt.entity.service": "SERVICE-ABCDEF1234567890"}
]
},
"dimensions": {
"type": "array",
"description": "Ordered list of dimension values matching the metric's dimension definitions. The order corresponds to the dimensionDefinitions returned in the metric descriptor. Use dimensionMap for named access.",
"items": {
"type": "string"
},
"examples": [
["web-01", "production"],
["SERVICE-ABCDEF1234567890"]
]
},
"timestamps": {
"type": "array",
"description": "Unix timestamps in milliseconds for each data point in the series. Each timestamp marks the start of the aggregation window for the corresponding value. Aligns one-to-one with the values array.",
"items": {
"type": "integer",
"description": "Unix timestamp in milliseconds",
"minimum": 0
},
"examples": [
[1609459200000, 1609462800000, 1609466400000]
]
},
"values": {
"type": "array",
"description": "Metric values corresponding to each timestamp. A null value indicates no data was available or recorded for that time slot (a gap in the time series). The array length always matches the timestamps array length.",
"items": {
"type": ["number", "null"],
"description": "The metric value for this time slot. Null indicates no data for the corresponding timestamp."
},
"examples": [
[45.2, 67.8, null, 51.3],
[250.0, 310.5, 289.0]
]
}
}
}
}
}