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Step-by-Step Setup when creating an AVERAGE-based metered feature:
  1. Navigate to Features
    • Go to Product Catalog → Features
    • Click “Add Feature”
  2. Basic Information
    • Name: “Response Time” (or descriptive name)
    • Type: Select “Metered”
  3. Event Configuration
    • Event Name: api.response (must match your event data)
    • Aggregation Function: Average
    • Aggregation Field: response_time_ms (the property to average)
  4. Usage Settings
    • Usage Reset: Periodic (for monthly averages) or Cumulative
    • Unit Name: ms (milliseconds)
  5. Save Feature

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Calculation Example

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Event Data

[
  {
    "event_id": "evt_001",
    "event_name": "api.response",
    "external_customer_id": "customer_123",
    "timestamp": "2024-01-15T10:00:00Z",
    "properties": {
      "response_time_ms": 10
    }
  },
  {
    "event_id": "evt_002", 
    "event_name": "api.response",
    "external_customer_id": "customer_123",
    "timestamp": "2024-01-15T10:05:00Z",
    "properties": {
      "response_time_ms": 20
    }
  },
  {
    "event_id": "evt_003",
    "event_name": "api.response",
    "external_customer_id": "customer_123", 
    "timestamp": "2024-01-15T10:10:00Z",
    "properties": {
      "response_time_ms": 30
    }
  },
  {
    "event_id": "evt_004",
    "event_name": "api.response",
    "external_customer_id": "customer_123", 
    "timestamp": "2024-01-15T10:15:00Z",
    "properties": {
      "response_time_ms": 40
    }
  },
  {
    "event_id": "evt_005",
    "event_name": "api.response",
    "external_customer_id": "customer_123", 
    "timestamp": "2024-01-15T10:20:00Z",
    "properties": {
      "response_time_ms": -1
    }
  },
  {
    "event_id": "evt_006",
    "event_name": "api.response",
    "external_customer_id": "customer_123", 
    "timestamp": "2024-01-15T10:25:00Z",
    "properties": {
      "response_time_ms": 0
    }
  }
]

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Calculation Process

  1. Event Matching: All events with event_name = "api.response"
  2. Deduplication: Remove duplicate event IDs using anyLast() (each event has unique ID in this case)
    • evt_001 → 10 ms
    • evt_002 → 20 ms
    • evt_003 → 30 ms
    • evt_004 → 40 ms
    • evt_005 → -1 ms
    • evt_006 → 0 ms
  3. Average Calculation: (10 + 20 + 30 + 40 + (-1) + 0) / 6 = 99 / 6 = 16.5 ms
Result: 16.5 ms

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Use Cases

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Response Time Monitoring

Perfect for: API response times, page load times, query performance 
{
  "event_name": "api.response",
  "external_customer_id": "acme_corp",
  "properties": {
    "response_time_ms": 185
  }
}

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Performance Metrics

Perfect for: Processing duration, execution time, latency measurements 
{
  "event_name": "job.processing",
  "external_customer_id": "user_456",
  "properties": {
    "duration_seconds": 45.2
  }
}

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Business Analytics

Perfect for: Order values, session lengths, transaction amounts 
{
  "event_name": "order.placed",
  "external_customer_id": "merchant_789",
  "properties": {
    "order_value": 125.50
  }
}

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System Monitoring

Perfect for: CPU usage, memory consumption, bandwidth utilization 
{
  "event_name": "system.metrics",
  "external_customer_id": "customer_101",
  "properties": {
    "cpu_percent": 65.8
  }
}

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File Size Analysis

Perfect for: Average file sizes, document lengths, data volumes 
{
  "event_name": "file.processed",
  "external_customer_id": "data_user",
  "properties": {
    "file_size_mb": 12.7
  }
}

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When to Use AVERAGE

✅ Use AVERAGE when:
  • Need mean values over time periods
  • Tracking performance or quality metrics
  • Measuring typical behavior or usage patterns
  • Billing based on average consumption levels

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Next Steps

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