> For the complete documentation index, see [llms.txt](https://gata.gitbook.io/gata-public-gitbook/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://gata.gitbook.io/gata-public-gitbook/validations/data-and-user-growth.md). # 📈Data & User Growth We have successfully scaled the following data viaa Gata's GPT-to-Earn product. All figures are accurate as of December 31, 2024. * Every \~10 seconds, a ChatGPT user shares their data with us! see real-time on-chain Activity [here](https://greenfieldscan.com/objects?keyword=gpt)

* We have scaled over 5.3M real-user ChatGPT data, representing the largest publicly available human-AI interaction dataset outside of OpenAI. This dataset is highly valuable because (1) it captures real-world use cases and provide deep insights into how AI can better understand and respond to human needs, intentions, and complexities, and (2) ChatGPT is widely recognized as the best AI service.

* We have scaled over 106k real-user o1 reasoning data, representing the largest publicly available AI reasoning dataset outside of OpenAI. Reasoning AI, often referred to as test-time scaling, represents a new paradigm for enhancing AI capabilities. It has become a primary focus for nearly all leading AI research labs. OpenAI's o1 and o3 reasoning data enable imitation and distillation learning, facilitating the development of other advanced reasoning AI systems.

* We have more than 12k real ChatGPT users who have shared data with us.

* We have more than 600 daily active data contributors. --- # 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://gata.gitbook.io/gata-public-gitbook/validations/data-and-user-growth.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.