> For the complete documentation index, see [llms.txt](https://docs.crossroadsmyth.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.crossroadsmyth.com/mechanics/random-number-generator-rng.md). # Random Number Generator (RNG) Crossroads: Myth leverages a pseudo-random number generator (RNG) for injecting randomness into its game mechanics, drawing on the [Tezos Randomizer](https://github.com/asbjornenge/tezos-randomizer) developed by [Asbjornenge](https://github.com/asbjornenge). Our enhanced version creates a random range of entropy, combining storage entropy with passed entropy to generate numbers within the specific range needed. Although the system is technically deterministic, it becomes exceedingly challenging for even the most technologically proficient user or baker to predict or manipulate the result of the randomizer contract for a transaction within a particular block. The advantage of this implementation is a scalable, cost-effective, fair, and reliable random number generator that doesn't compromise security or place undue financial burden on the team or players. --- # 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://docs.crossroadsmyth.com/mechanics/random-number-generator-rng.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.