Contribute model capacity
Connect a device and explicitly share eligible inference capacity for validated work.
Requires an account, a released CLI, and a compatible loopback model runtime.
Read the contribution guideReciprocal inference network
Connect models you already run. When eligible spare capacity completes validated work, you earn Credit to use other Model Builds on the Network.
You share bounded inference capacity — never model weights, API keys, or machine access.
Choose an outcome
OpenToken supports three paths. Check the current availability and trust boundary before signing in.
Connect a device and explicitly share eligible inference capacity for validated work.
Requires an account, a released CLI, and a compatible loopback model runtime.
Read the contribution guideUse Credit to call available Model Builds through the hosted API.
Requires an API key, available Model Builds, and released Credit policy.
Read the API guideReach your own models across paired devices through an end-to-end encrypted path.
Requires two same-account CLI devices and an explicitly paired Private Endpoint.
Read the Private Access guideThe exchange loop
OpenToken turns eligible spare inference capacity into useful access without transferring your models or credentials.
Explicitly enable Network Sharing on a connected device. Private Access remains separate.
Eligible capacity earns Credit only when validated inference work is delivered.
Spend Credit on other available Model Builds through the hosted model API.
One network, two trust modes
Shared Inference and Private Access are separate products. They do not silently fall back into one another.
Exchange eligible capacity with other authenticated users through Credit-metered APIs.
Reach your own models across paired devices through an end-to-end encrypted path.
Clear trust boundaries
OpenToken states the privacy boundary before you choose a path. Network Sharing is designed for workloads appropriate for contributor-operated infrastructure.
Requests run on a selected contributor device. OpenToken and that contributor can observe application content as required to serve it. Ordinary contributor hardware does not provide cryptographically enforced confidentiality.
Use Private Access for your own paired devices. Native request and response content stays encrypted across the relay and never falls back to the paid Network.
Built for model clients
The hosted surface is designed for controlled native passthrough while OpenToken owns authentication, routing, policy, and accounting.
https://api.opentoken.sh/v1Endpoint availability and compatibility are published per released API.
FAQ
No. OpenToken shares bounded inference capacity, not model weights, local API keys, or raw machine access.
No. Credit is a closed-loop usage balance for consuming available inference on the OpenToken Network.
No. It is disabled by default and must be enabled explicitly for each device. Eligibility is not guaranteed.
The selected contributor processes plaintext content. Sensitive workloads should use Private Access on devices you control.
No. Same-account Private Access is free, end-to-end encrypted, and never falls back to paid inference.
Connect your first device
Sign in to connect OpenToken, then decide exactly which devices may share capacity.