# SIRE ## Documentation - [About SIRE](https://docs.sire.bot/get-started/about-sire.md) - [Why SIRE Exists](https://docs.sire.bot/get-started/why-sire-exists.md) - [Mission & Purpose](https://docs.sire.bot/get-started/mission-and-purpose.md) - [Core Contributors](https://docs.sire.bot/get-started/introduction.md): Meet the Core Contributors behind the first agentic sports betting DAO - [Overview](https://docs.sire.bot/how-it-works/editor.md): Explore SIRE's revolutionary approach to sports betting intelligence - [Architecture](https://docs.sire.bot/how-it-works/editor-1.md): Understand the technical infrastructure behind SIRE - [Roadmap](https://docs.sire.bot/how-it-works/editor-2.md): Key milestones and DeFAI integration plans - [Overview](https://docs.sire.bot/tokenomics/overview.md) - [Token Utility & Distribution](https://docs.sire.bot/tokenomics/token-utility-and-distribution.md) - [Dual Wager Mechanism](https://docs.sire.bot/tokenomics/dual-wager-mechanism.md): DKING features two distinct approaches to sports betting intelligence - [Human Wager](https://docs.sire.bot/tokenomics/human-wager.md): How the human wager works - [αVault](https://docs.sire.bot/products/avault.md): How SIRE's AlphaVault works - [αLink](https://docs.sire.bot/products/alink.md): High-level overview of the SIRE AlphaLink - [Automated Betting](https://docs.sire.bot/products/automated-betting.md): Through our Agentic Wager Pool, participants can access these institutional-grade strategies - [Staking](https://docs.sire.bot/products/staking.md): Learn how staking works and its benefits - [SIRE Intelligence: Data Science Report](https://docs.sire.bot/research-and-development/sire-intelligence-data-science-report.md): How In-House Modelling, LLMs and a community of Machine Learning Engineers Are Powering a New Era of Sustainable +EV Betting - [The Multi-Source Prediction Engine](https://docs.sire.bot/research-and-development/the-multi-source-prediction-engine.md) --- # 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 This site has an agentic ask interface you may use to query the documentation dynamically by asking a question. Perform an HTTP GET request on the following URL with the `ask` and `goal` query parameters: ``` GET https://docs.sire.bot/index.md?ask=&goal= ``` `ask` is the immediate question: it should be specific, self-contained, and written in natural language. `goal` is what the user is ultimately trying to achieve, the reason they need the answer. Sharing it helps GitBook give you a better, more relevant answer. A goal is most helpful when it describes the outcome the user wants rather than restating the question. For example, with `ask=how do I create an API token`, a goal like `automate deployments from our CI pipeline` lets GitBook tailor the answer to that use case. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.