Hi Product Hunt! 👋 I'm Shaofeng, the maker of Arbiter Margin.

I built Arbiter Margin because I believe AI companies need a better way to understand the economics behind their products.

With traditional SaaS, pricing and delivery costs can be relatively predictable. But AI agents are different. A single customer request can trigger multiple model calls, tool executions, retries, reasoning steps, and other infrastructure costs.

Revenue may look healthy while the actual cost of serving certain customers or workflows remains difficult to understand.

That's the problem I'm working to solve with Arbiter Margin.

Our goal is to help AI-agent companies connect customer revenue with delivery costs and understand profitability across customers, workflows, and individual tasks.

With Arbiter Margin, you can:

Understand customer-level profitability.
Analyze workflow and task-level costs.
Identify potential margin leakage.
Make more informed pricing decisions.

We're at an early stage, and I'd genuinely appreciate your feedback.

I'd especially love to hear from AI founders, CTOs, and finance leaders:

How do you currently measure the cost of serving each AI customer?
Can you identify which workflows or customers are actually profitable?
What would make a product like Arbiter Margin valuable enough for your team to use?

Thank you for checking us out. I'm looking forward to learning from this community!