| Hi HN, 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 |
What do you think are the challenges with AI Agents pricing? How you are currently pricing your AI Agents work?
Would be great to know what HN community thinks.