API/SDK v0.5 Model - A Base Layer For all Agents
Last updated
Last updated
REI acts as a base layer infrastructure platform, providing foundational API services that enable AI agents to interact and operate. It serves as "infrastructure's infrastructure," offering an alternative to traditional AI APIs as we run our own models and architecture.
The Core Architecture APIs are the highest value proposition because they define how systems fundamentally think and process information - something that can't be replicated by just adding more tools. While frameworks and apps can be replicated or competed with, the core cognitive architecture is what determines the ceiling of what's possible for everything built on top of it.
Model Components
Base Layer Infrastructure: Core Architecture and Cognitive Engine
API Alternative: Alternative infrastructure layer to existing AI APIs like OpenAI, Anthropic and a multitude of other providers
Dual/Rebate Centric Model: Both REI and ETH is needed for credits However users are still free to pay ETH only, the use of both ETH and REI is encouraged through price discounts.
Multiple Access Points: SDK and web interface for different integration needs
Open Builder Ecosystem: Enables various participants to build and contribute
Builders create tools and applications on REI, expanding the platform's capabilities. This attracts additional developers, strengthening the core infrastructure and enabling better development tools. The improved platform naturally appeals to other builders, thus continuing the cycle.
Builder activity drives token utility and value appreciation, generating resources for platform development. These resources enable improvements that attract more builders and expand use cases, creating sustainable economic growth.
As more applications launch on REI, user adoption grows. The expanding user base increases network value, attracting more builders to develop on the platform. New applications bring more users, strengthening the network further.
Disclaimer: Our business models are subject to change and improvement, and are not final.