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Connect your agents, apps and servers to Stav once. You get 100+ models from 23 Inference Providers at the providers’ own prices. The Smart Router picks a model that fits each request, so simple work doesn’t run on your most expensive model, and it switches to another provider if one fails. Every response shows which company ran it and in which country.
from openai import OpenAI client = OpenAI( base_url="https://api.stav.ai/v1", api_key="sk_stav_live_…", ) client.chat.completions.create( model="auto", # Stav picks messages=[{"role": "user", "content": "Hello"}], )
Sign one contract and get one bill. Every model from every provider sits behind one API.
Pay with prepaid credits from one wallet. See what you spend per model, router and API key. You don’t need an account with each AI company.
Try a new model by changing its name. No new sign-up, no new key, no new procurement round.
Stav accepts Chat Completions, Anthropic Messages and OpenAI Responses requests. Claude Code and Codex connect with one setting.
An error or a rate limit sends it to the next provider on the list. You don’t write the retry code.
Most requests don’t need your most expensive model. Stav helps you send each one to a model that is good enough, and shows you what it cost.
Send a model name and you get that model. Send auto and the Smart Router picks one that fits the request and your budget.
Every model page lists each provider’s price per token. Filter the catalogue by price and pick the cheapest one that does the job.
Daily and monthly limits per workspace, key and router. A soft limit warns you; a hard limit stops requests.
Catalogue prices on 15 October 2026, cheapest serving provider for each model. For simple work like triage, the small model is good enough. Hard tasks still need the bigger one.
Model prices are the providers’ own catalogue prices, open for anyone to read on each model’s page. A small platform fee is added when you buy credits.
Buy credits and use them when you need them.
Add as many people and apps as you like.
Read every price on the model’s page before you send a request.
“We built Jottacloud as a privacy-first alternative to the tech giants. Stav is that conviction applied to AI, where the stakes are higher. A model has to read what you send it, so encryption can’t protect your content. What protects you is control: you choose which providers and countries may process your data. Stav is an independent gateway. We don’t make models, we don’t train on your data, and we keep you from being locked in to one vendor.”
Create a workspace, get an API key and connect your agents, apps or servers to api.stav.ai. Add a card, and we add free credits to your wallet.
Set rules for the whole workspace, for a single API key or for a single router. Stav checks every request against them before it leaves, and refuses it with an error naming the rule when no provider meets them. It never falls back to a provider that breaks your rules.
Limit processing to the EU or EEA, require no retention and no training, and set a minimum sovereignty level.
Give each person or app its own key, block providers you don’t want, and choose which routers each key may call.
Every request is logged with the model that answered, the company that ran it, the country it ran in, and whether that company retains or trains on your data. You can filter the log, open any request and export it as CSV. We don’t store prompts or answers unless you turn capture on.
Stav’s MCP server gives Claude Code, Codex and any other MCP client the tools to find models, set up routers, read request logs and fix problems. Your agent does it in the same session where it writes your code, so you never leave the terminal.
Your agent changes the code and the gateway together. No switching between editor and dashboard.
An agent works inside the same workspace, key and router limits as a person. It can’t go outside them.
Ask why a request went where it did, and the agent reads the answer from the request log: the pick, the runners-up and what the rules kept out.
Run open models on European providers, or use frontier models including GPT, Claude and Gemini. We grade each provider on who owns it, where it runs and how it handles data. Filter by price, country or sovereignty level.