> For the complete documentation index, see [llms.txt](https://probix.gitbook.io/probix/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://probix.gitbook.io/probix/abstract.md). # Abstract The world is entering an era where information moves faster than human understanding. Every event is influenced by thousands of dynamic variables: * Real-time data * Human behavior * Market movements * Strategic decisions * Social sentiment * Environmental changes Traditional prediction systems rely heavily on historical data, expert opinions, and static models, making it difficult to process complex real-time information. Probix introduces an AI-powered event intelligence network designed to transform fragmented information into structured probability intelligence. By combining artificial intelligence, real-time data modeling, dynamic probability engines, and Web3 infrastructure, Probix creates a new intelligence layer for prediction markets. Probix does not attempt to predict certainty. Instead, Probix continuously analyzes uncertainty, models probabilities, and transforms complex events into measurable intelligence. --- # 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://probix.gitbook.io/probix/abstract.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.