Universal AI Billing Dashboard to track your n8n workflow costs

Built with n8n
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Hey n8n community :wave:

Companies are hemorrhaging money on inefficient AI usage without even realizing it.

After watching countless teams, and myself, struggle to manage ballooning AI costs across multiple platforms (juggling between billing portals, losing track of spending, getting surprised by bills), I decided to build.

After ~1 week, I launched (first launch) an MVP for AIBillingDashboard.com.

What I built:

  • A unified dashboard that tracks spending across all major AI providers (OpenAI, Claude, Gemini, Tavily, Pinecone, n8n, HuggingFace, etc).
  • Cost comparison tools that show which models give best value for specific use cases
  • Usage analytics that identify cost-saving opportunities across your AI stack
  • Billing cycle tracking and payment alerts to avoid surprise charges

I’m essentially replacing the chaotic spreadsheets and custom scripts that I and teams use to track AI spending with something more simple / straightforward.

Additionally, I built this because while AI adoption is skyrocketing, cost management tools haven’t really kept pace, is extremely siloed, and/or create new points of failure such as having usage/analytical requests sent out first to track usage before sending out the prompt for completion.

Would love feedback from the community and/or any AI power users out there!

Anyone else building tools for the AI ecosystem? What cost management challenges are you facing?

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Thats a useful app. Two quick questions.

  • is there a free trial for the app?
  • can it distinguish cost between multiple api keys like with openai?
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Thanks! To answer your questions:

  1. Yes! Also, for annual plans the first four months are free :slight_smile:
  2. The AI Billing Dashboard doesn’t currently distinguish costs between multiple API keys for the same provider (like OpenAI), but it does offer robust overall spend tracking through two methods: First, you can track your overall usage by uploading usage data directly on the platform/application management page (this gives you visibility into total spending across all your AI services including OpenAI, Claude, Gemini, and others). Second, we’re considering developing a public API endpoint after initial feedback that will allow for automated usage data uploads. When released, you’ll be able to send your usage data programmatically (or via a n8n workflow) using an API key, making it easier to keep your dashboard updated with the latest spending information. While the dashboard currently focuses on unified tracking across different AI platforms rather than distinguishing between multiple API keys within the same platform, it still provides valuable insights by giving you complete transparency across your entire AI stack! Hope I answered your questions :slight_smile: let me know if you need to know anything else!
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