> For the complete documentation index, see [llms.txt](https://finetao-1.gitbook.io/finetao/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://finetao-1.gitbook.io/finetao/the-anomaly-model.md). # the anomaly model We chose to build our AI model around "Arrash", the 8th subnet of Bittensor. Arrash is a prediction subnet that gathers on-chain data for prediction and analysis purposes. The role of FineTAO is to screen data from the "Arrash" subnet and predict malicious contracts that have recently been deployed and verified on the Ethereum mainnet, in order to put a "score" on each, to anticipate bad action. While this has already been done, on fixed and distinct parameters, existing data and models are centralized and don't communicate with each other, which often makes them unreliable. Our AI model makes each on-chain dataset from the subnet communicate to enhance the efficiency of each parameter and make them interact with each other. While this has already been done, on fixed and distinct parameters, existing data and models are centralized and don't communicate with each other, which often makes them unreliable. FineTAO's artificial intelligence model is totally decentralized, and records every on-chain dataset since the inception of Ethereum, whereas existing bots are coded according to the creator's perception. This makes a considerable difference, and will make FineTAO the number 1 leader in on-chain anomaly detection. --- # 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://finetao-1.gitbook.io/finetao/the-anomaly-model.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.