Epismo OS
Freemium
Teams using multiple AI tools on the same tasks
When your app foots the inference bill, variable API costs become a budget leak you can't cap — infer0 shifts that cost to each user by routing their own provider keys through a single OAuth layer your codebase never has to rewrite.
infer0 sits between your app and the AI provider: users connect their OpenAI, Anthropic, or Google keys, authorize your app via OAuth, and infer0 forwards requests while translating between API formats so your existing SDK calls work unchanged. Your app never touches a key. Spend limits live on the user side, enforced per-provider and per-authorization, revocable in one click. The architecture is passive middleware — no agent logic, no workflow builder — which means it integrates cleanly but covers only the routing and auth layer. If infer0 goes down, your app's requests fail; the docs are explicit: handle that gracefully.
Bottom line: A clean fit for an early-stage app where users bringing their own keys is a feature, not a workaround — but if you need guaranteed uptime SLAs or providers beyond OpenAI, Anthropic, and Google, you will be routing around infer0 before long.
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Freemium
Teams using multiple AI tools on the same tasks
Paid
E-commerce and retail businesses
Most apps that call AI APIs own the billing relationship — and the cost risk. infer0 inverts that: developers register an OAuth app, drop in the standard OpenAI or Anthropic SDK endpoint they already use, and infer0 handles the rest. When a user authenticates, they connect their own provider key, choose which provider the app may use, set a daily spend ceiling, and pass an access token. infer0 looks up their key, checks the spend limit, forwards the request to their chosen provider, and translates the response back into the format the SDK expects. The developer’s codebase sees one consistent API surface regardless of which provider the user picked.
The privacy architecture is the sharpest differentiator. Provider keys are encrypted with AES-256-GCM, encryption keys are stored separately from the database, and the vendor states staff cannot read them. Prompt and completion content is never logged or written to disk — only metadata for rate limiting is retained. For developers building apps where users reasonably don’t want their credentials or conversations held by a third party, this is the architecture that removes the argument.
The tool fits a narrow but real niche: early-stage apps, developer tools, or B2B products where ‘bring your own key’ is a natural part of the value proposition and the developer wants to avoid building an OAuth-plus-key-vault system from scratch. It breaks down at the edges of that niche — provider support is limited to three at launch, there is no self-hosted option, and the service is in beta with no published uptime guarantees. If infer0 is unavailable, all routed requests fail; the docs describe this as a graceful-handling responsibility for the developer, not a platform guarantee.
Integration follows the OAuth 2.0 flow: register an app in Developer Settings to get a client ID and secret, add the OAuth redirect to your app, then call the infer0 endpoint using the Chat Completions, Messages, or Responses format already in your codebase. The vendor states format translation between providers happens automatically, so switching a user from OpenAI to Anthropic requires no code change on the developer side.
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