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get_error_metrics_time_series

Analyze time-series error metrics for your applications with granularity. Input start and end times, specify metrics, and apply filters to identify trends in error instances over time.

Instructions

Get time-series metrics for errors

Input Schema

Name	Required	Description
`aggregation`	Yes
`applicationIdentifier`	Yes
`end`	Yes
`filter`	No	Case-sensitive filter in the format 'errorGroupIdentifier = abc123' or 'errorGroupIdentifier IN (abc123, def456)'
`granularity`	Yes	Time granularity in format like '1h', '30m', '1d'
`metrics`	Yes
`start`	Yes

Input Schema (JSON Schema)

{
  "$schema": "http://json-schema.org/draft-07/schema#",
  "additionalProperties": false,
  "properties": {
    "aggregation": {
      "const": "count",
      "type": "string"
    },
    "applicationIdentifier": {
      "type": "string"
    },
    "end": {
      "format": "date-time",
      "type": "string"
    },
    "filter": {
      "description": "Case-sensitive filter in the format 'errorGroupIdentifier = abc123' or 'errorGroupIdentifier IN (abc123, def456)'",
      "type": "string"
    },
    "granularity": {
      "description": "Time granularity in format like '1h', '30m', '1d'",
      "pattern": "^\\d+[mhd]$",
      "type": "string"
    },
    "metrics": {
      "items": {
        "const": "errorInstances",
        "type": "string"
      },
      "type": "array"
    },
    "start": {
      "format": "date-time",
      "type": "string"
    }
  },
  "required": [
    "applicationIdentifier",
    "start",
    "end",
    "granularity",
    "aggregation",
    "metrics"
  ],
  "type": "object"
}

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