Tokenization Models
Last updated
Last updated
Tokenization models are frameworks that defines how text-based tokens are structured. Xyxyx introduces two foundational tokenization models, which adhere to different intended use cases.
A model for tokenizing short text records
A model for tokenizing long text records
Xyxyx's tokenization models are founded upon the concept of text-based tokens.
Text-based tokens are text records generated in the form of tokens. These tokens have an embedded visual output (similar to NFTs), making text records effortlessly accessible and retrievable.
Text-based tokens are generated, rendered, and stored entirely on-chain, ensuring the highest level of data integrity and provenance, i.e., immutability and permanence.
Each text-based token is represented by a Base64-encoded SVG output, which is embedded in the token’s metadata and stored entirely on blockchain rails. As a result, Xyxyx offers a fully blockchain-based solution for text data storage, eliminating the need for off-chain hosting services like IPFS.
Composability is a key feature of text-based tokens.
On one hand, the data of text-based tokens is cryptographically stored on the EVM, while on the other, it can also be managed as SVG files. This duality allows text-based tokens to serve as both immutable, permanent blockchain records and highly composable data files.
Text-based tokens support the use of text from all of the world's digitized writing systems, whether it’s Japanese, Arabic, Russian, Korean, or Chinese.