Custom Analytics Integration

This guide shows you how to integrate Superline Agent Detection with any analytics platform of your choice, beyond the specific integrations we’ve covered for Google Analytics and Mixpanel.

Universal Integration Approach

Regardless of which analytics platform you’re using, the core integration pattern remains similar: detect AI agents and include this information in your analytics data. Here’s a universal approach that works with any platform.

Initialize Agent Detection

First, initialize Superline Agent Detection early in your application:

import AgentDetector from '@superline-ai/agent-detection';

// Initialize with automatic data collection
AgentDetector.init({
  debug: false,
  autoStart: true
});

Create Detection Function

Create a function that performs detection and returns the result:

async function detectAgent() {
  try {
    // Allow sufficient time for data collection before calling
    // Assuming 'detector' instance is accessible here
    const result = await AgentDetector.finalizeDetection();
    return {
      isAgent: result.isAgent,
      confidence: result.confidence
    };
  } catch (error) {
    console.error('Agent detection error:', error);
    return null;
  }
}

Integrate with Your Analytics

Call the detection function at the appropriate time and add the result to your analytics platform:

// Wait for sufficient data collection
setTimeout(async () => {
  const agentData = await detectAgent();
  
  if (agentData) {
    // Send to your analytics platform
    // This is a generic example - adapt it to your specific platform
    analytics.identify({
      isAgent: agentData.isAgent,
      agentConfidence: agentData.confidence
    });
    
    // Set as global property for future events
    analytics.setGlobalProperty('isAgent', agentData.isAgent);
  }
}, 5000); // 5 seconds delay

Platform-Specific Examples

Here are integration examples for several popular analytics platforms:

Segment

import Analytics from 'analytics';
import segmentPlugin from '@analytics/segment';
import AgentDetector from '@superline-ai/agent-detection';
// Assuming providers are imported/created:
// const metadataProvider = new BrowserMetadataProvider();
// const eventsProvider = new BrowserEventProvider();

// Initialize analytics with Segment
const analytics = Analytics({
  app: 'your-app-name',
  plugins: [
    segmentPlugin({
      writeKey: 'YOUR_SEGMENT_WRITE_KEY'
    })
  ]
});

// Initialize agent detection
AgentDetector.init({ autoStart: true });

// After sufficient data collection
setTimeout(async () => {
  const result = await AgentDetector.finalizeDetection();
  
  // Identify with agent information
  analytics.identify({
    isAgent: result.isAgent,
    agentConfidence: result.confidence
  });
  
  // Track detection event
  analytics.track('Agent Detection Complete', {
    isAgent: result.isAgent,
    agentConfidence: result.confidence
  });
}, 5000);

Amplitude

import * as amplitude from '@amplitude/analytics-browser';
import AgentDetector from '@superline-ai/agent-detection';
// Assuming providers are imported/created:
// const metadataProvider = new BrowserMetadataProvider();
// const eventsProvider = new BrowserEventProvider();

// Initialize Amplitude
amplitude.init('YOUR_AMPLITUDE_API_KEY');

// Initialize agent detection
AgentDetector.init({ autoStart: true });

// After sufficient data collection
setTimeout(async () => {
  const result = await AgentDetector.finalizeDetection();
  
  // Set user properties
  amplitude.setUserProperties({
    isAgent: result.isAgent,
    agentConfidence: result.confidence
  });
  
  // Track detection event
  amplitude.track('Agent Detection Complete', {
    isAgent: result.isAgent,
    agentConfidence: result.confidence
  });
}, 5000);

Plausible

import AgentDetector from '@superline-ai/agent-detection';
// Assuming providers are imported/created:
// const metadataProvider = new BrowserMetadataProvider();
// const eventsProvider = new BrowserEventProvider();

// Initialize agent detection
AgentDetector.init({ autoStart: true });

// Custom Plausible event function
function plausibleEvent(eventName, props = {}) {
  if (window.plausible) {
    window.plausible(eventName, { props });
  }
}

// After sufficient data collection
setTimeout(async () => {
  const result = await AgentDetector.finalizeDetection();
  
  // Track agent detection event
  plausibleEvent('Agent Detection', {
    isAgent: result.isAgent,
    agentConfidence: result.confidence
  });
  
  // Enhance future event tracking
  const originalPlausible = window.plausible;
  window.plausible = function(eventName, options = {}) {
    // Add agent data to all events
    if (!options.props) options.props = {};
    options.props.isAgent = result.isAgent;
    
    // Call original function
    originalPlausible(eventName, options);
  };
}, 5000);

Adobe Analytics

import AgentDetector from '@superline-ai/agent-detection';
// Assuming providers are imported/created:
// const metadataProvider = new BrowserMetadataProvider();
// const eventsProvider = new BrowserEventProvider();

// Initialize agent detection
AgentDetector.init({ autoStart: true });

// After sufficient data collection
setTimeout(async () => {
  const result = await AgentDetector.finalizeDetection();
  
  // Set custom variables in Adobe Analytics
  if (window.s) {
    // Set eVar for agent detection
    window.s.eVar1 = result.isAgent ? "AI Agent" : "Human";
    window.s.eVar2 = result.confidence.toString();
    
    // Track event
    window.s.events = "event1";
    window.s.prop1 = "Agent Detection";
    
    // Send data to Adobe Analytics
    window.s.t();
  }
}, 5000);

Custom Backend API

import AgentDetector from '@superline-ai/agent-detection';
// Assuming providers are imported/created:
// const metadataProvider = new BrowserMetadataProvider();
// const eventsProvider = new BrowserEventProvider();

// Initialize agent detection
AgentDetector.init({ autoStart: true });

// Function to send data to your custom analytics backend
async function trackToCustomBackend(eventName, data) {
  try {
    const response = await fetch('https://your-analytics-api.com/events', {
      method: 'POST',
      headers: {
        'Content-Type': 'application/json',
        'Authorization': 'Bearer YOUR_API_KEY'
      },
      body: JSON.stringify({
        event: eventName,
        timestamp: new Date().toISOString(),
        sessionId: getSessionId(),
        data
      })
    });
    
    return response.ok;
  } catch (error) {
    console.error('Analytics tracking error:', error);
    return false;
  }
}

// Helper function to get/create session ID
function getSessionId() {
  let sessionId = localStorage.getItem('analytics_session_id');
  if (!sessionId) {
    sessionId = 'session_' + Date.now() + '_' + Math.random().toString(36).substr(2, 9);
    localStorage.setItem('analytics_session_id', sessionId);
  }
  return sessionId;
}

// After sufficient data collection
setTimeout(async () => {
  const result = await AgentDetector.finalizeDetection();
  
  // Track to your custom backend
  trackToCustomBackend('agent_detection', {
    isAgent: result.isAgent,
    agentConfidence: result.confidence,
    userAgent: navigator.userAgent,
    url: window.location.href
  });
  
  // Store result for future events
  localStorage.setItem('agent_detection_result', JSON.stringify({
    isAgent: result.isAgent,
    confidence: result.confidence
  }));
}, 5000);

Creating a Universal Analytics Wrapper

For larger applications that need a consistent analytics interface across multiple pages/components, consider creating a universal analytics wrapper that incorporates agent detection:

// analytics.js
import AgentDetector from '@superline-ai/agent-detection';
// Assuming providers are imported/created:
// const metadataProvider = new BrowserMetadataProvider();
// const eventsProvider = new BrowserEventProvider();

class Analytics {
  constructor(options = {}) {
    this.providers = options.providers || [];
    this.detectionComplete = false;
    this.agentData = null;
    this.eventQueue = [];
    this.detector = null; // Hold detector instance
    
    // Initialize agent detection
    // Assuming providers are available
    this.detector = new AgentDetector(metadataProvider, eventsProvider);
    this.AgentDetector.init({ autoStart: true });
    
    // Set up detection
    setTimeout(this.detectAgent.bind(this), options.detectionDelay || 5000);
  }
  
  async detectAgent() {
    try {
      const result = await this.AgentDetector.finalizeDetection();
      this.agentData = {
        isAgent: result.isAgent,
        confidence: result.confidence
      };
      
      // Track detection event
      this.track('AgentDetectionComplete', this.agentData);
      
      // Process queued events
      this.detectionComplete = true;
      this.processQueue();
      
      return this.agentData;
    } catch (error) {
      console.error('Agent detection error:', error);
      this.detectionComplete = true;
      this.processQueue();
      return null;
    }
  }
  
  processQueue() {
    while (this.eventQueue.length > 0) {
      const { eventName, properties } = this.eventQueue.shift();
      this.trackToProviders(eventName, properties);
    }
  }
  
  track(eventName, properties = {}) {
    // Add agent data if available
    if (this.agentData) {
      properties = {
        ...properties,
        isAgent: this.agentData.isAgent,
        agentConfidence: this.agentData.confidence
      };
      
      // Track immediately
      this.trackToProviders(eventName, properties);
    } else if (this.detectionComplete) {
      // Detection tried but failed, track anyway
      this.trackToProviders(eventName, properties);
    } else {
      // Queue the event for later
      this.eventQueue.push({ eventName, properties });
    }
  }
  
  trackToProviders(eventName, properties) {
    // Send to all configured providers
    this.providers.forEach(provider => {
      try {
        provider.track(eventName, properties);
      } catch (error) {
        console.error(`Error tracking to provider ${provider.name}:`, error);
      }
    });
  }
  
  // Add a new analytics provider
  addProvider(provider) {
    this.providers.push(provider);
  }
}

// Example provider implementations
export const GoogleAnalyticsProvider = {
  name: 'Google Analytics',
  track: (eventName, properties) => {
    if (window.gtag) {
      window.gtag('event', eventName, properties);
    }
  }
};

export const MixpanelProvider = {
  name: 'Mixpanel',
  track: (eventName, properties) => {
    if (window.mixpanel) {
      window.mixpanel.track(eventName, properties);
    }
  }
};

export default Analytics;

Usage of this wrapper:

import Analytics, { GoogleAnalyticsProvider, MixpanelProvider } from './analytics';

// Initialize with your preferred providers
const analytics = new Analytics({
  providers: [
    GoogleAnalyticsProvider,
    MixpanelProvider,
    // Add your custom providers
    {
      name: 'Custom Backend',
      track: (eventName, properties) => {
        // Your custom implementation
        fetch('https://your-api.com/track', {
          method: 'POST',
          body: JSON.stringify({ eventName, properties })
        });
      }
    }
  ],
  detectionDelay: 5000 // 5 seconds
});

// Track events as usual
analytics.track('PageView', { page: '/home' });
analytics.track('ButtonClick', { buttonId: 'signup-button' });

// Agent data will be automatically added once detection is complete

Best Practices for Any Platform

Regardless of which analytics platform you’re using, follow these best practices:

Consistent Property Names

Use consistent property names across all events (e.g., always use isAgent rather than mixing is_agent, isBot, etc.)

Include Confidence

Always include the confidence for nuanced analysis.

Delay Detection

Wait 3-5 seconds before performing detection to allow sufficient data collection

Graceful Fallbacks

Handle detection failures gracefully to ensure analytics continue to work even if detection fails

Advanced Topics

Real-time Dashboards

For real-time monitoring of human vs. AI traffic:

Send detection results to a real-time data processing system like Firebase, Supabase, or a custom WebSocket server
Build a dashboard that shows current traffic breakdowns
Set up alerts for unusual patterns in agent traffic

// Example with Firebase
import { initializeApp } from 'firebase/app';
import { getDatabase, ref, set } from 'firebase/database';
import AgentDetector from '@superline-ai/agent-detection';

// AgentDetector.init(...);

// Initialize Firebase
const firebaseApp = initializeApp({
  // your firebase config
});

const db = getDatabase(firebaseApp);

// After detection
const result = await AgentDetector.finalizeDetection();

// Update real-time dashboard data
set(ref(db, 'traffic/' + Date.now()), {
  timestamp: new Date().toISOString(),
  isAgent: result.isAgent,
  confidence: result.confidence,
  page: window.location.pathname,
  referrer: document.referrer
});

Session Stitching

For multi-page applications, ensure consistent agent detection across pages:

// At the start of each page load
import AgentDetector from '@superline-ai/agent-detection';
// Assuming providers are imported/created:
// const metadataProvider = new BrowserMetadataProvider();
// const eventsProvider = new BrowserEventProvider();
let detector = null; // Hold detector instance

function initializeDetection() {
  // Check if we have a previous detection result
  const savedResult = localStorage.getItem('agent_detection_result');
  
  if (savedResult) {
    // Use the existing result for immediate classification
    const parsed = JSON.parse(savedResult);
    console.log('Using cached detection result:', parsed);
    
    // Still perform detection in the background to improve accuracy
    if (!detector) {
       const metadataProvider = new BrowserMetadataProvider(); // Example
       const eventsProvider = new BrowserEventProvider(); // Example
       detector = new AgentDetector(metadataProvider, eventsProvider);
    }
    AgentDetector.init({ autoStart: true });
    
    setTimeout(async () => {
      // Update the stored result with fresh detection
      const result = await AgentDetector.finalizeDetection();
      localStorage.setItem('agent_detection_result', JSON.stringify({
        isAgent: result.isAgent,
        confidence: result.confidence,
        lastUpdated: new Date().toISOString()
      }));
    }, 5000);
    
    return parsed;
  } else {
    // No existing result, perform new detection
    if (!detector) {
       const metadataProvider = new BrowserMetadataProvider(); // Example
       const eventsProvider = new BrowserEventProvider(); // Example
       detector = new AgentDetector(metadataProvider, eventsProvider);
    }
    AgentDetector.init({ autoStart: true });
    
    // Return a promise that resolves when detection is complete
    return new Promise((resolve) => {
      setTimeout(async () => {
        const result = await AgentDetector.finalizeDetection();
        
        // Store for future page loads
        localStorage.setItem('agent_detection_result', JSON.stringify({
          isAgent: result.isAgent,
          confidence: result.confidence,
          lastUpdated: new Date().toISOString()
        }));
        
        resolve(result);
      }, 5000);
    });
  }
}

A/B Testing Integration

Ensure A/B tests consider agent status:

// Example with Google Optimize or similar
// Assuming detector instance is available
async function initializeExperiments() {
  // Get agent detection result first
  const result = await AgentDetector.finalizeDetection();
  
  // Only include real users in experiments
  if (!result.isAgent) {
    // Initialize your A/B testing tool
    initializeOptimize();
    
    // Activate experiments
    activateExperiments();
  } else {
    // For agents, show the default experience
    console.log('Agent detected, showing default experience');
  }
}

Next Steps

Now that you’ve learned how to integrate Superline Agent Detection with any analytics platform, consider exploring our other guides:

Google Analytics Integration

Detailed steps for Google Analytics integration

Mixpanel Integration

Detailed steps for Mixpanel integration

Custom Extractors

Learn how to create custom feature extractors

React Integration

Integrate Superline Agent Detection with React applications

Analytics Integration

​Custom Analytics Integration

​Universal Integration Approach

​Platform-Specific Examples

​Creating a Universal Analytics Wrapper

​Best Practices for Any Platform