Usage Tracking

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Usage Metrics Overview

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Key Metrics Tracked

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Request Metrics

• Total Requests: Number of API calls made
• Successful Requests: Requests completed without errors
• Failed Requests: Requests that returned errors
• Blocked Requests: Requests stopped by security policies

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Token Consumption

• Input Tokens: Tokens in your prompts and messages
• Output Tokens: Tokens in AI model responses
• Total Tokens: Combined input and output token usage

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Cost Tracking

• Total Costs: Complete spending across all providers
• Cost per Model: Spending breakdown by AI model
• Cost per Provider: Spending split between OpenAI, Anthropic, etc.
• Daily/Monthly Trends: Cost patterns over time

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Performance Metrics

• Average Latency: Mean response time for requests
• P95/P99 Latency: High-percentile response times
• Throughput: Requests per second/minute/hour
• Error Rates: Percentage of failed requests

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Dashboard Analytics

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Real-Time Usage Dashboard

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Main Dashboard View

• Current Usage: Real-time request and token consumption
• Cost Tracking: Today’s spending and monthly projections
• Performance Overview: Latency and error rate summaries
• Security Events: Blocked requests and threat detection

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Detailed Analytics

• Usage Trends: Historical consumption patterns
• Model Comparison: Performance across different AI models
• Geographic Distribution: Usage by region/location
• User Segmentation: Consumption by API key or user

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Usage Breakdown

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By Time Period

{
  "daily_usage": {
    "requests": 1250,
    "tokens": {
      "input": 45000,
      "output": 32000,
      "total": 77000
    },
    "cost": 1.85,
    "avg_latency": 420
  },
  "monthly_usage": {
    "requests": 38500,
    "tokens": {
      "input": 1350000,
      "output": 980000,
      "total": 2330000
    },
    "cost": 56.20,
    "avg_latency": 398
  }
}

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By Model

{
  "model_usage": {
    "gpt-5-nano": {
      "requests": 850,
      "tokens": 52000,
      "cost": 1.25,
      "avg_latency": 480
    },
    "gpt-3.5-turbo": {
      "requests": 400,
      "tokens": 25000,
      "cost": 0.35,
      "avg_latency": 320
    },
    "claude-haiku-4-5": {
      "requests": 200,
      "tokens": 18000,
      "cost": 0.45,
      "avg_latency": 390
    }
  }
}

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API Usage Tracking

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Current Availability ✅

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Developer API - Usage Stats

import requests
import os
from datetime import datetime

api_key = os.environ.get("PROMPTGUARD_API_KEY")
base_url = "https://api.promptguard.co/api/v1"

headers = {
    "X-API-Key": api_key
}

# Get current usage statistics
def get_usage_stats():
    response = requests.get(
        f"{base_url}/usage/stats",
        headers=headers
    )

    if response.status_code == 200:
        stats = response.json()
        print(f"Requests this month: {stats.get('requests_this_month', 0)}")
        print(f"Monthly limit: {stats.get('monthly_limit', 0)}")
        print(f"Requests remaining: {stats.get('requests_remaining', 0)}")
        print(f"Usage percentage: {stats.get('usage_percentage', 0):.1f}%")

        # Check if over limit
        if stats.get('requests_remaining', 0) < 0:
            print("⚠️  Warning: You've exceeded your monthly limit!")

        return stats
    elif response.status_code == 401:
        print("Error: Invalid API key")
    else:
        print(f"Error: HTTP {response.status_code}")
    return None

# Example usage
if __name__ == "__main__":
    stats = get_usage_stats()
    if stats:
        usage_pct = stats.get('usage_percentage', 0)
        if usage_pct > 90:
            print("\n⚠️  Consider upgrading your plan or enabling on-demand usage.")

{
  "requests_this_month": 1250,
  "monthly_limit": 1000,
  "requests_remaining": -250,
  "usage_percentage": 125.0,
  "billing_period": {
    "start_date": "2024-01-01T00:00:00Z",
    "end_date": "2024-02-01T00:00:00Z",
    "days_remaining": 16
  }
}

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Cost Management

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Current Dashboard Features ✅

1. Navigate: app.promptguard.co → Settings → Usage
2. View Usage: See current month’s usage and remaining quota
3. Spending: Configure on-demand usage and spending limits (Settings → Spending)
4. Billing: Access billing information and subscription details (Settings → Billing & Invoices)

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Cost Optimization Tips

• Model Selection: Use GPT-3.5-turbo for simple tasks when GPT-4 isn’t necessary
• Prompt Engineering: Shorter, more efficient prompts reduce token costs
• Caching: Reuse responses for similar queries (coming soon)
• Monitoring: Track usage patterns to identify optimization opportunities

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Rate Limiting and Quotas

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Current Limits

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Monitoring Quotas

1. Navigate: app.promptguard.co → Settings → Usage
2. Check Usage: See requests used vs. monthly limit
3. Enable On-Demand: If on Pro or Scale, enable on-demand usage to exceed limits
4. Upgrade: Upgrade your plan if you need higher base limits

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Historical Data

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Data Retention

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Troubleshooting Usage Tracking

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Next Steps