Fetch.ai (FET) Token Utility and Technology Stack

Fetch.ai’s utility token FET was designed to find, create, deploy and train digital twins and is an essential part of smart contracts and oracles on the platform.

The FET utility token from Fetch.ai is used to find, create, deploy, and train digital twins, which are a key component of smart contracts and oracles on the platform.

With FET, users can build and deploy their own digital twins on the network. Developers can gain access to machine-learning-based utilities to train autonomous digital twins and deploy collective intelligence on the network by paying with FET tokens.

Staking FET tokens also enables validation nodes, facilitating network validation and reputation.

The technology stack of Fetch.ai comprises four distinct elements:

The Digital Twin Framework provides modular components that aid teams in building marketplaces, skills, and intelligence for digital twins to connect with.

The Open Economic Framework provides search and discovery functions to digital twins.

The Digital Twin Metropolis is a collection of smart contracts that run on a WebAssembly (WASM) virtual machine to maintain an immutable record of agreements between digital twins.

The Fetch.ai Blockchain combines multi-party cryptography and game theory to provide secure, censorship-resistant consensus and rapid chain-syncing to support digital twin applications.

Among the platform's core components are the learner, where each participant is the learner in the experiment, representing a unique private dataset and machine learning system; the global market, which is the output of a collective learning experiment, where the machine learning model is trained collectively by the learners themselves; the Fetch.ai Blockchain, which supports smart contracts that enable coordination and governance in a secure and auditable manner; and the decentralized data layer based on IPFS, which facilitates the sharing of machine learning weights between all the learners involved.