Introduction to MarginDash
MarginDash is a powerful tool designed for SaaS teams that use AI APIs. It tracks AI API costs per call and ties them to Stripe revenue, allowing you to measure margins by customer, feature, and model in real time. By installing a lightweight SDK, you can log model names and token counts while Stripe invoices sync automatically. Provider rates are updated daily across 100+ models, ensuring your cost data is always current.
With features like dashboards, budgets, and alerts, MarginDash helps you control spending and run what-if simulations to find cheaper models ranked by quality per dollar. This enables you to optimize your AI usage and improve profitability. Whether you're looking to reprice, optimize, or have hard conversations with customers, MarginDash provides the data you need to make informed decisions.
Takeaways
- Tracks AI API costs per call and ties them to Stripe revenue
- Measures margins by customer, feature, and model in real time
- Lightweight SDK for logging model names and token counts
- Automatic Stripe invoice sync and daily provider rate updates
- Dashboards, budgets, and alerts for spending control
- What-if simulations to find cheaper models ranked by quality per dollar
- Real-time visibility into customer profitability
- Privacy-first tracking with no sensitive data sent outside servers
How MarginDash Works
MarginDash works by connecting your AI API costs to your Stripe revenue. Once installed, it logs model names and token counts after each AI call. These details are then tied to customer revenue from Stripe, allowing you to calculate margins per customer, feature, and model.
The platform provides real-time dashboards to monitor revenue, cost, and margin. You can set budgets and receive alerts when they are nearing their limits. Additionally, MarginDash allows you to simulate the cost of alternative models, helping you identify more cost-effective options without changing your code.
Core Benefits and Applications
- Real-time margin tracking: Understand which customers, features, and models are profitable.
- Cost optimization: Use what-if simulations to find cheaper models that maintain quality.
- Automated reporting: Syncs with Stripe for automatic revenue tracking.
- Privacy-focused: Only model names and token counts are sent, ensuring no sensitive data leaves your servers.
- Easy integration: Install via npm, pip, or REST API and start tracking in minutes.
Features Overview
| Feature | Description |
|---|---|
| Dashboard | Real-time revenue, cost, and margin metrics |
| Budgets | Set and track budget limits with alerts |
| Cost Simulator | Simulate alternative models and their cost impact |
| Customers | View margin data per customer |
| Event Types | Track costs by specific AI event types (e.g., summarize, translate) |
| Pricing Updates | Daily provider rate updates across 100+ models |
| SDK Integration | Lightweight SDK for logging AI usage |
| Revenue Sync | Automatic sync with Stripe or custom billing systems |
| Privacy | No prompts or completions leave your servers |
Getting Started
To start using MarginDash:
- Add the package:
npm install margindash(also available as pip install margindash) - Log usage after each AI call by sending the model name and token count
- See margins in real time as revenue and costs are automatically tracked
