AI cost enforcement infrastructure
One line of code. Every model. No shock bills.
Connects to the providers your stack already uses
The problem
Your agents hit three providers. You get one invoice. OpenAI's dashboard shows totals, not which agent, workflow, or loop ran 400 times at 3am.
OpenAI's spend limits only cover OpenAI. Set a $50 cap and your Anthropic fallback runs uncapped. Gemini too. Each provider is its own billing island.
An agent loop starts at 3am. By the time you wake up it has run 400 times. The only thing faster than a runaway agent is the bill it generates.
Every provider gives you a total. Not a breakdown. Five agents are spending, but which one? Two hours later you're still guessing.
Dashboards are the autopsy. They tell you what happened after the bill lands. You needed the seatbelt. Not the crash report.
↑ which workflow caused this? unknown.
How it works
Zelyx sits in the call path between your application and every AI provider. It sees every request, enforces every budget, and kills every runaway loop before the bill.
Point your SDK at Zelyx with your Zelyx key and proxy base URL. No SDK swap. No config file. Two lines.
Set daily caps on company, team, project, model, or per-person keys. Tag traffic with headers. Budgets enforce in the call path — before the provider is billed.
Every call is checked in real time. When a daily cap is hit, Zelyx returns HTTP 402 before the provider is called. Alerts fire at 80% — not after the invoice.
The verdict engine
Zelyx checks every API call against your budget topology before it reaches the provider. Forward or kill. The decision happens in the call path, not after the invoice.
Get in touch
Reach out and we'll get back to you with a plan that fits your team's needs.
Contact us →From the community
“An agent looped overnight — about $800 by morning from hundreds of GPT-4o calls. I thought I'd stopped it, but the bill kept climbing until I opened the dashboard.”
Developer story · runaway agent loops
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