Complete Features
Everything you need to control your AI API costs
Real-Time Dashboard
Track your AI API costs in real-time with beautiful charts. See exactly how much each request costs as it happens.
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Live Updates
Costs are calculated instantly after each API request
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Interactive Charts
Visualize your spending with dynamic graphs and KPIs
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Advanced Filters
Filter by provider, model, project, time period
Live Cost Monitoring
Live$12.45
-15%1,234
+8%Smart Budget Alerts
Never go over budget again. Set custom thresholds and receive instant notifications.
Email Alerts
Instant notifications to your inbox
SMS Alerts
Critical alerts via SMS
Slack Integration
Alerts in your Slack channels
Custom Webhooks
Integrate with your tools
Budget Alert Configuration
You've reached 90% of your monthly budget
Deep Analytics
Understand your API usage patterns and identify optimization opportunities.
Cost Breakdown by Provider
See which providers cost you the most
Usage Trends Over Time
Identify patterns and forecast costs
Model Comparison
Compare costs across different AI models
Historical Data
Access up to 365 days of historical data
Cost Analytics Dashboard
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Model Optimization
Automatically suggests cheaper models for similar tasks
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Caching Opportunities
Identifies duplicate requests that could be cached
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Error Pattern Detection
Spots costly retry patterns and suggests fixes
Optimization Recommendations
Save €360/month
60% of your GPT-4o requests could use GPT-4o-mini instead
Save €120/month
15% of requests are duplicates. Enable caching to reduce costs.
Reduce Error Rate
15% of requests fail with 429 errors. Implement exponential backoff.
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CSV Export
Perfect for Excel and spreadsheets
JSON Export
For custom integrations and APIs
Scheduled Reports
Automatic monthly reports via email
API Access
REST API for custom exports
Export Data
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App.feature_proxy_description
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Zero Trust Architecture
Your API keys are encrypted and never exposed
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Low Latency
Less than 50ms added latency on average
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Language Agnostic
Works with Python, Node.js, PHP, Ruby, and more
Simple Integration
# Before
import openai
openai.api_base = "https://api.openai.com/v1"
openai.api_key = "sk-..."
# After - Just one line change!
import openai
openai.api_base = "https://api.cost-monitor.com/proxy/openai"
openai.api_key = "your_project_token"
# That's it! No other changes needed
response = openai.ChatCompletion.create(
model="gpt-4o",
messages=[{"role": "user", "content": "Hello!"}]
)
print(response)
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