Activity

ℹ️

Private preview

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Overview

Who used Monte Carlo, when and how much (visits, page views, distinct pages, API calls) per day, week or month and per user, as the in-product Activity dashboard shows it.

What it answers

• How many users the account has and how many were active or inactive in a period.
• Visits, page views and API calls per day, week or month.
• The most active users.

🚧

Not covered here

• Activity per team (there is no user to team mapping).
• Monitors created (Coverage metrics).
• Alert status changes per user (Data quality metrics).

Try asking

Who were the most active users in the last 30 days?

The query your agent runs:

• Metrics: user_page_view_count, user_api_call_count
• Grouped by: user__user_email
• Filter: metric_time__day on or after 30 days ago
• Sorted by: user_page_view_count, highest first

{
  "metrics": ["user_page_view_count", "user_api_call_count"],
  "group_by": ["user__user_email"],
  "filters": [
    {
      "field": "metric_time__day",
      "op": "gte",
      "values": ["<30 days ago>"]
    }
  ],
  "order_by": [
    {"field": "user_page_view_count", "descending": true}
  ]
}

Metrics

Every metric here groups by User, and time.

Good to know

Grouping and filtering for all metrics, including why the numbers per domain, data product or tag do not add up to the account's: Before you group or filter.

• Default window: The last 30 days.
• History: 13 full calendar months back from the current month; nothing older is kept.
• Time grain: Group by metric_time at day, week or month. user_visit_count and user_app_view_count are distinct counts: ask them at the grain you need instead of adding up daily values.
• Per user: Group by user__user_email; per-user rows are for Account Owners only (the API enforces it).
• Users: User_count is the live people of the account, active or not; active_user_count those of them with activity in the selected period, inactive_user_count those without (without a period, never active in the history window), so active + inactive = user_count. user_visit_count is the Activity dashboard's visits and also counts users deleted since and agent service users.

Examples

How many users do we have, and how many were active and inactive in the last 30 days?

• Metrics: user_count, active_user_count, inactive_user_count
• Filter: metric_time__day on or after 30 days ago

{
  "metrics": [
    "user_count",
    "active_user_count",
    "inactive_user_count"
  ],
  "filters": [
    {
      "field": "metric_time__day",
      "op": "gte",
      "values": ["<30 days ago>"]
    }
  ]
}

How many users visited Monte Carlo and how many page views did they make per week over the last 3 months?

• Metrics: user_visit_count, user_page_view_count, user_app_view_count
• Grouped by: metric_time__week
• Filter: metric_time__day on or after the start of the week 3 months ago

{
  "metrics": [
    "user_visit_count",
    "user_page_view_count",
    "user_app_view_count"
  ],
  "group_by": ["metric_time__week"],
  "filters": [
    {
      "field": "metric_time__day",
      "op": "gte",
      "values": ["<start of the week 3 months ago>"]
    }
  ]
}

See also

• Dimensions these metrics group by: User
• All metrics: Metrics; all dimensions: Dimensions; overview and guides: Composable dashboards; product words: Glossary