Choose how you want to connect
One-time analysis
Real-time tracking
Sample data
New: SDK integration now available for automatic real-time tracking!
Generate your unique Substacker API key. Keep it secret!
Save this key now! You won't be able to see it again.
pip install substacker-sdknpm install @substacker/sdkWrap your OpenAI client with our tracker. That's it!
from openai import OpenAI
from substacker import track_openai
# Wrap your OpenAI client
openai = track_openai(
OpenAI(),
api_key="YOUR_API_KEY",
team="engineering" # Your team name
)
# Use OpenAI normally - tracking happens automatically
response = openai.chat.completions.create(
model="gpt-4",
messages=[{"role": "user", "content": "Hello!"}]
)Your application is now tracking AI costs in real-time.
Deploy your application with the SDK integration. Costs will be tracked automatically on every API call.
Visit your dashboard to see team costs, model usage, and anomaly alerts as they happen.
Configure budget thresholds and get notified when teams exceed their allocated spend.
Your API key is active. Make your first tracked API call and watch the data flow in.
Your CSV must include these columns:
model - e.g., gpt-4, gpt-3.5-turbo, claude-3-opus, gemini-pro
prompt_tokens - number of input tokens
completion_tokens - number of output tokens
team - OPTIONAL - we auto-generate if missing
or click to browse
CSV or JSON format • Max 50MB
Your data is processed locally and securely. We never store your raw data.
Processing your OpenAI usage...
Your AI costs broken down by team. Finally, you know where the money goes.
| Team | Monthly Cost | % of Total |
|---|
Upload data will appear here
You just saw your team breakdown. Now make decisions based on data.
What you can do now:
✓ Share results with your VP Eng
✓ Set team budgets based on data
✓ Plan optimization efforts
Coming Soon (Phase 2):
⏳ Real-time monitoring
⏳ Automated alerts
⏳ Budget enforcement
You'll be first in line when we launch. No spam, just results.