Optimize your Anthropic costs
Monitor and optimize your Claude API usage with detailed cost analytics, conversation tracking, and intelligent recommendations to reduce AI spending.
Claude API Tracking
Monitor Claude API calls, token usage, and conversation costs
Cost Analytics
Detailed cost breakdown by model version, conversation length, and application
Usage Optimization
Smart recommendations to optimize Claude usage and reduce costs
Simple integration
Connect Anthropic Account
Securely connect your Anthropic account using API key authentication
Enable Usage Tracking
Configure Claude API monitoring and cost tracking
Set Budget Alerts
Configure alerts for usage thresholds and budget limits
Review Recommendations
Get optimization recommendations to reduce Claude costs
Claude Monitoring
Conversation tracking
Monitor multi-turn conversations and context usage
Model routing
Intelligent routing between Opus, Sonnet, and Haiku
Cost forecasting
Predict monthly costs based on usage patterns
Claude Models We Optimize
Claude 3 Opus
70-85%Optimize expensive Opus calls by using Sonnet for less complex tasks
Claude 3 Sonnet
50-70%Balance performance and cost with intelligent routing to Haiku
Claude 3 Haiku
30-50%Maximize efficiency for simple tasks and reduce unnecessary overhead
Claude Instant
40-60%Optimize legacy model usage and migrate to newer, more efficient versions
Context Windows
25-45%Optimize conversation context and reduce token usage
Batch Processing
35-55%Implement batching strategies for multiple requests
SDK Integration
Monitor your Claude usage with our SDK wrapper:
# Python SDK Integration
from deepcost import AnthropicWrapper
import anthropic
# Wrap your Anthropic client
client = AnthropicWrapper(
anthropic_api_key="your_anthropic_key",
deepcost_api_key="your_deepcost_key"
)
# All API calls are automatically tracked
response = client.messages.create(
model="claude-3-sonnet-20240229",
max_tokens=1000,
messages=[{"role": "user", "content": "Hello Claude!"}]
)Cost Tracking Dashboard
View detailed Claude cost analytics in your DeepCost dashboard: