Control LLM spend before it spirals. Real-time tracking and budget alerts for teams running autonomous agents.
You launch an AI agent on Monday. By Friday, your OpenAI bill is 3x higher than expected. You didn't know which agent was eating compute. You had no alerts. You had no budget controls.
Traditional monitoring dashboards show CPU and memory. They don't track API calls by agent, model version, or endpoint. You're flying blind on the cost side.
AI Agent Cost Monitor breaks down your LLM spend by agent, by model, by endpoint. See which agents are calling GPT-4, which are using cheaper alternatives, and which are thrashing on retries.
Set a budget. Get alerted when you're 80% through it. No surprises. No overspend.
See exactly which of your 10 agents is spending money. Drill down to model and endpoint level.
We notify you at 80% of your daily/monthly budget. You decide: pause the run, optimize, or approve higher spend.
Compare agents by cost-per-output. Find the efficiency winners and the expensive experiments.
Failed API calls that retry waste money. We show you which agents have high-retry rates and why.
Running GPT-4 where GPT-3.5 would work? We flag it and estimate the savings if you switch.
Threshold hit? Get a Slack message, HTTP POST, or email. Never miss a spike.
Add one environment variable to your agent code. Route LLM calls through our proxy. We log every call, compute the cost, and update your dashboard in real time.
export COST_MONITOR_KEY=sk_... export COST_MONITOR_ENDPOINT=api.costmonitor.dev # Your agent code picks this up automatically agent.cost_monitor_enabled = True
Up to $500/month in tracked spend
Perfect for side projects and experiments
/month
Unlimited tracked spend + webhooks + team access
Email us at hello@costmonitor.dev or open an issue on GitHub.
Register interest
This is not a purchase and there is no card field. It puts your address, this product, and whatever you write below in front of a person, and you get a written answer about what finishing it, or handing it over for you to run yourself, would actually take.