> For the complete documentation index, see [llms.txt](https://synesis.gitbook.io/synesisone/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://synesis.gitbook.io/synesisone/ecosystem/5.7-kanon.md). # 5.7 Kanon Kanon is a collectable NFT representing an ontology primitive or a keyword. Collectively, the sum of all the ontology primitives will be equal to the total value of the Synesis Metaverse. The objectives of minting a Kanon are threefold: * generate revenue from the initial minting events and on-going trading of Kanon * incentivize the Kanon holders to join as one or more of the three types of ontology miners in the ontology mining process so that we can collect more ontologies * gamify the community interactions among the stakeholders of Synesis One and increase their earning potential and retention. Each Kanon will contain one unique keyword with an algorithmically generated art representing the semantic of the keyword embedded. --- # Agent Instructions This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com. ## 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, and the optional `goal` query parameter: ``` GET https://synesis.gitbook.io/synesisone/ecosystem/5.7-kanon.md?ask=&goal= ``` `ask` is the immediate question: it should be specific, self-contained, and written in natural language. `goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal. 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.