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What can you do with it?

The Amplitude API allows you to analyze user behavior and track analytics data. You can monitor real-time active users, calculate revenue lifetime values, perform event segmentation analysis, create funnel conversion reports, and track individual user activity to gain comprehensive insights into your application’s usage patterns.

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How to use it?

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Basic Command Structure

/your-amplitude-connection [action] [required-parameters] [optional-parameters]

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Parameters

Required:
  • action - The action to perform (get, analyze, track)
  • entity - The entity type (realtime, revenue, events, funnels, user)
  • start - Start date in YYYYMMDD format
  • end - End date in YYYYMMDD format
Optional:
  • interval - Time interval (5 minutes, daily, weekly, monthly)
  • metric - Metric type (ARPU, ARPPU, Total Revenue, Paying Users)
  • segment - Segment definitions
  • group_by - Property to group by
  • user_id - User identifier for user activity
  • limit - Number of results to return
  • offset - Pagination offset

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Tools

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Get Real-time Active Users

Monitor active user numbers with 5-minute granularity for the last two days. Parameters:
  • interval (optional) - Interval in minutes (default: 5)
Example: 
/your-amplitude-connection
action: get
entity: realtime
interval: 5
Response: 
{
  "data": {
    "xValues": ["15:00", "15:05", "15:10", "15:15"],
    "seriesLabels": ["Today", "Yesterday"],
    "series": [
      [123, 144, 101, 156],
      [139, 111, 180, 142]
    ]
  }
}

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Get Revenue Lifetime Value

Calculate the lifetime value of new users with detailed revenue metrics. Parameters:
  • start (required) - First date in YYYYMMDD format
  • end (required) - Last date in YYYYMMDD format
  • metric (optional) - Metric type: 0=ARPU, 1=ARPPU, 2=Total Revenue, 3=Paying Users (default: 0)
  • interval (optional) - Interval: 1=daily, 7=weekly, 30=monthly (default: 1)
  • segment (optional) - Segment definitions (JSON array)
  • group_by (optional) - Property to group by
Example: 
/your-amplitude-connection
action: get
entity: revenue
start: 20221001
end: 20221031
metric: 0
interval: 7
Response: 
{
  "data": {
    "seriesLabels": [""],
    "series": [
      {
        "dates": ["2022-10-04", "2022-10-03", "2022-10-02", "2022-10-01"],
        "values": {
          "2022-10-01": {
            "r1d": 9.99,
            "r2d": 19.98,
            "r30d": 299.70,
            "r90d": 742.52,
            "count": 110,
            "paid": 37,
            "total_amount": 781.39
          }
        }
      }
    ]
  }
}

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Get Event Segmentation

Analyze segmentation data for specific events with filtering and grouping. Parameters:
  • event (required) - Event definition (JSON object)
  • start (required) - Start date in YYYYMMDD format
  • end (required) - End date in YYYYMMDD format
  • metric (optional) - Metric type for analysis
  • interval (optional) - Interval (1, 7, or 30)
  • segment (optional) - Segment definitions
  • group_by (optional) - Group by properties
Example: 
/your-amplitude-connection
action: get
entity: events
event: {
  "event_type": "CompletedProfile",
  "filters": [
    {
      "subprop_type": "event",
      "subprop_key": "EmailVerified",
      "subprop_op": "is",
      "subprop_value": ["true"]
    }
  ],
  "group_by": [
    {
      "type": "user",
      "value": "country"
    }
  ]
}
start: 20221001
end: 20221031
Response: 
{
  "data": {
    "seriesLabels": ["US", "UK", "Canada"],
    "series": [
      {
        "dates": ["2022-10-01", "2022-10-02", "2022-10-03"],
        "values": [245, 189, 156]
      },
      {
        "dates": ["2022-10-01", "2022-10-02", "2022-10-03"],
        "values": [134, 142, 138]
      },
      {
        "dates": ["2022-10-01", "2022-10-02", "2022-10-03"],
        "values": [87, 94, 91]
      }
    ]
  }
}

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Get Funnel Analysis

Analyze funnel conversion data across multiple events. Parameters:
  • events (required) - Array of event definitions (JSON)
  • start (required) - Start date in YYYYMMDD format
  • end (required) - End date in YYYYMMDD format
  • conversion_window (optional) - Conversion window in days
  • conversion_type (optional) - Conversion window type
  • segment (optional) - Segment definitions
  • group_by (optional) - Group by properties
Example: 
/your-amplitude-connection
action: get
entity: funnels
events: [
  {
    "event_type": "PageView",
    "filters": [
      {
        "subprop_type": "event",
        "subprop_key": "page_name",
        "subprop_op": "is",
        "subprop_value": ["signup"]
      }
    ]
  },
  {
    "event_type": "CompletedProfile"
  },
  {
    "event_type": "FirstPurchase"
  }
]
start: 20221001
end: 20221031
conversion_window: 7
Response: 
{
  "data": {
    "seriesLabels": ["All Users"],
    "series": [
      {
        "dates": ["2022-10-01", "2022-10-02", "2022-10-03"],
        "values": [
          {
            "step1": 1000,
            "step2": 450,
            "step3": 127
          },
          {
            "step1": 1125,
            "step2": 485,
            "step3": 142
          },
          {
            "step1": 1050,
            "step2": 465,
            "step3": 135
          }
        ]
      }
    ]
  }
}

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Get User Activity

Retrieve activity data for a specific user including all events and properties. Parameters:
  • user (required) - User identifier
  • offset (optional) - Pagination offset
  • limit (optional) - Number of results (max 1000)
Example: 
/your-amplitude-connection
action: get
entity: user_activity
user: user_12345
offset: 0
limit: 100
Response: 
{
  "data": {
    "events": [
      {
        "event_time": "2022-10-15T14:30:00Z",
        "event_type": "PageView",
        "user_id": "user_12345",
        "device_id": "device_67890",
        "session_id": "session_abc123",
        "event_properties": {
          "page_name": "homepage",
          "referrer": "google.com"
        },
        "user_properties": {
          "country": "US",
          "premium_user": true
        }
      },
      {
        "event_time": "2022-10-15T14:32:15Z",
        "event_type": "ButtonClick",
        "user_id": "user_12345",
        "device_id": "device_67890",
        "session_id": "session_abc123",
        "event_properties": {
          "button_name": "signup",
          "page_name": "homepage"
        }
      }
    ]
  }
}

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Notes

Rate limits include 5 concurrent requests and 360 queries per hour for user endpoints. Cost-based model calculates as (days) × (conditions) × (query type cost). Concurrent limit is 1000 cost within 5 minutes. Hourly limit is 108,000 cost per hour. Time zone matches your Amplitude project settings. URL encode special characters in event names and properties. Built-in properties include version, country, city, region, language, platform, os, device. Custom user properties use gp:property_name format. Special event types include _active, _all, revenue_amount. Uses PinkConnect proxy connection. Authentication requires base64-encoded API key and secret key. Event filters support various operators like is, contains, greater than.