# Native Tokenization Tokenization is a cornerstone feature of Keeta Network, offering a flexible and efficient way to represent value. In the Keeta ecosystem, tokens are not smart contract-based assets but are rather native to the network itself. Tokens can be created for a wide range of applications, from representing digital currencies to creating digital versions of real-world assets. Unlike traditional blockchain platforms such as Ethereum, where tokens are typically created and managed through smart contracts, Keeta tokens exist as first-class citizens on the network. This fundamental difference in token architecture offers several advantages in terms of efficiency and flexibility. **Streamlined Operations and Cost Efficiency** The implementation of native tokenization eliminates the need for smart contract interactions for basic token operations. This design choice significantly reduces transaction complexity and associated costs. In contrast to Ethereum's tokenization model, where tokens are represented by smart contracts, Keeta's approach allows for more streamlined and cost-effective token operations. **Versatility and Ease of Use** Keeta's token system is designed for versatility and ease of use. Any approved network participant can create tokens, representing a wide range of assets. The system supports both fungible and non-fungible tokens, catering to diverse tokenization needs. Additionally, Keeta incorporates a dynamic rules engine that allows token creators to attach specific conditions or behaviors to their tokens, with these rules being automatically enforced by the network. --- # Agent Instructions: Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://docs.keeta.com/features/native-tokenization.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.