Infer0
Pricing
- Model
- Free
- Free Tier
- All features available while infer0 is free during early development
Summary
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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Pros
Sign in to edit- Users pay their own inference bills directly, so your app's hosting cost is the only cost you carry — no inference spend, no billing system to build.
- Keys are encrypted with AES-256-GCM and never exposed to your application code, which means you skip building a secrets vault and your app passes a security review without storing credentials.
- Support for OpenAI, Anthropic, and Google formats through a single endpoint, so swapping providers for a user is a dashboard change, not a code deployment.
- Per-authorization spend limits and one-click revocation live on the user side, which means you avoid building usage controls into your app and users retain the ability to cut access instantly.
- Prompt and completion content is never logged, so you can tell users their conversations don't transit a third-party store — a claim most hosted middleware cannot make.
Cons
Sign in to edit- Provider support is limited to OpenAI, Anthropic, and Google at launch. A team whose users need Mistral, Cohere, or a self-hosted model hits a hard wall immediately and has to build their own routing layer.
- There is no self-hosted deployment option. Teams in regulated industries or with data-residency requirements cannot run infer0 inside their own infrastructure — they either accept the SaaS dependency or move to a custom solution.
- When infer0 is unavailable, every app request to a provider fails. The docs place the graceful-failure burden on the developer, but there is no published SLA or redundancy guarantee to underwrite that handling — beta-stage reliability is the stated position.
- The OAuth flow adds a setup step for end users: connect a key, authorize an app, optionally configure spend limits. For consumer apps where friction before the first AI response is a conversion risk, that onboarding gate pushes teams toward a model where the developer holds provider keys instead, which removes infer0's core value.
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About
- Platforms
- Web
- API Available
- Yes
- Self-Hosted
- No
- Last Updated
- 2026-06-18T08:02:44.326Z
Best For
Who it's for
- Developers avoiding variable inference costs
- Apps needing user-controlled AI provider choice
- Privacy-focused key management without storing user credentials
- Early-stage projects seeking simple OAuth-based AI routing
What it does well
- Building AI apps where users supply their own API keys
- Allowing seamless switching between AI providers without code changes
- Enforcing per-app spend limits and instant revocation
- Developing multi-provider AI features with a single integration
Integrations
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Frequently Asked Questions
- Is Infer0 free?
- Yes — Infer0 is fully free to use. There is no paid tier.
- Is Infer0 open source?
- No — Infer0 is a closed-source tool. Source code is not publicly available.
- Does Infer0 have an API?
- Yes. Infer0 exposes a developer API. See the official documentation at https://infer0.com for details.
- What platforms does Infer0 support?
- Infer0 is available on: Web.
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Curated lists that include this category
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.