> For the complete documentation index, see [llms.txt](https://handbook.spend.market/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://handbook.spend.market/welcome-to-spend-market/overview.md). # Overview Every prediction market answers a question. The difference is how the answer gets decided. Most markets settle on an oracle reading the news: a headline, a filing, an analyst's model, somebody's published statement. Spend Market settles on the thing itself: what people actually bought. A market about Starbucks resolves on Starbucks transactions. A market about whether DoorDash orders are shrinking resolves on DoorDash orders. No interpretation, no proxy, no waiting for a press release to characterize an economic event that already happened. > **The truth is the transaction.** [Spend Market](https://spend.market/markets) is a prediction market that resolves on verified U.S. consumer transaction data. You take a position on what American consumers will do, and real purchase data decides whether you were right. Not headlines. Not quarterly reports. What happened at the register. > **The receipt is the oracle.** *** *Spend Market is operated by* [*American Spend, Inc*](https://www.americanspend.com/)*.* --- # 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://handbook.spend.market/welcome-to-spend-market/overview.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.