● APPLICATION SCENARIOS
One network. Many ways to put it to work.
From a first API request to a sovereignty-sensitive production route, Token2Token matches each workload with the right kind of compute.
01⌘
Developers shipping AI features
Call live text, image, or audio models without maintaining a separate integration for every provider.
TOKEN2TOKEN PATHOpenAI client → Token2Token API → best live endpoint
CREDITGold or Indigo on eligible community routes
Read the quickstart →02▧
GPU owners with idle capacity
Connect Ollama or another supported local engine, publish pricing, and serve verified community generations.
TOKEN2TOKEN PATHLocal GPU → provider client → community requests
CREDITEarn 95% of completed generation value as Indigo
Provide compute →03◎
Research teams and startups
Use earned Indigo across available community models and keep experimentation moving without a subscription.
TOKEN2TOKEN PATHIndigo balance → community model → generated tokens
CREDITIndigo for community inference
Browse live models →04◇
Taiwan-resident and protected workloads
Constrain routing by location and provider tier when contractual privacy and data residency matter.
TOKEN2TOKEN PATHPolicy filter → Taiwan Official → verified response
CREDITGold required for Official endpoints
Compare endpoints →INDIGO LOOP
Compute for compute—without turning credit into a tradable asset.
Indigo is closed-loop service credit. It represents verified work contributed to the community and can be spent on eligible community inference.
GPUprovide
→INDIGOearn
→OLLAMAuse
→TOKENSbuild
!
ROUTE WITH INTENTChoose trust before you choose price.
Community capacity is flexible and economical, but it is not confidential by default. Use Official or attested routes for sensitive data.
Review privacy controls →ONE API · EVERY AVAILABLE GPU
Put the next generation on the right GPU.
Start with the compatible API and choose the route that fits your workload.