I am Raj, founder of Valmi.

We were building AI agents and quickly hit a pricing problem.

Tokens, API calls, and seats made no sense for agents. One agent run might be cheap and useless; another might be expensive and replace hours of human work. Billing on usage felt disconnected from real value.

What customers actually asked was: “Did it finish the task?” “Did it resolve the ticket?”

That pushed us toward outcome-based billing - charge only when the agent delivers something meaningful.

But existing billing systems don’t handle this well:

outcomes aren’t first-class concepts costs vary per run (LLMs, tools, retries) it’s hard to see margins per agent or customer

So we built Valmi:

1. outcomes as billable units 2. cost + margin tracked per agent run 3. outcome, usage, or hybrid pricing 4. open-source SDKs, self-hostable stack

Outcome billing also builds trust: customers pay for results, not experiments.

Available on GitHub (https://github.com/valmi-io/value).

I also wrote my hypothesis here: https://www.valmi.io/blog/an-imperative-for-ai-agents-outcom...

Would love your feedback! Also hosted at https://value.valmi.io

-Raj