> For the complete documentation index, see [llms.txt](https://moondog-1.gitbook.io/moondog/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://moondog-1.gitbook.io/moondog/moondog-agent.md). # MOONDOG AGENT Wasn’t the whole purpose of getting into crypto so that you could improve your life and have more time? But instead, what happened? You ended up completely overwhelmed with information overload. That’s why we built this tool, for maximum profits with minimal time. Our goal is to be lazy investors, with tools to make us smarter, faster, wealthier. > ***Chart analysis, technical indicators, support and resistance, contract safety, market cap, white papers, venture capitalist backing, team biographies, who’s buying, where they’re buying, when they’re buying, how much they’re buying, liquidity pools, buy and sell taxes, X followers, marketing, news…we’re just scratching the surface of what you need to be on top of to be successful in this game.*** ChadFi and MoonDog will be equipped with many agents, each with a single focus of expertise. The first iteration of MoonDog will be equipped with Analyst Agents, as this is an area where there is tremendous need and added value, but hasn’t been done well by other companies to date. Each agent will be able to perform a specific task, then share output on a web page or via a social channel. The agents will be able to respond to user requests and comments as appropriate. MoonDog is actually a combination of many different agents, but speaks for them all. {% hint style="info" %} *Why should you follow the MoonDog Agent Twitter/X account? So you can be in lockstep with market sentiment and be aware of significant levels that can affect your trading decisions. Make your money work for you, not the other way around!* {% endhint %} #### TECHNICAL ANALYSIS (TA) AGENT The TA Agent generates charts for a given token. While this agent doesn’t discover tokens, it will do a deep dive on them. The basic mechanics behind this agent are: * Supply a Contract Address to the TA Agent * TA Agent will analyze the data and look for various setups (RSI, Stochastic, etc) * Generate a chart that is branded as MoonDog * Output a chart image and text analysis of the chart #### SOCIAL SCORE AGENT The Social Score Agent defines which important people are following the token’s social accounts, and analyzes what they are saying about the project. It will look at the X account’s followers and do a deep dive on them. The basic mechanics are: * Lookup the account on TweetScout * For the top 20 followers (social indicator), perform a search to see what the key followers have said about the project * Report this back to the user in the form of text or images #### TWITTER FEED AGENT The Twitter Feed Agent digs into the current state of the project’s X account, including how many followers they have, what kind of engagement they get on their posts, and the overall sentiment of people talking about the project. The basic mechanics are: * Obtain the follower count * Read the latest \~20 X posts from the project to get engagement metrics * Read the latest \~50 X posts in which others have mentioned the project * Analyze the results and report intelligence back to the user in the form of text or images #### SMART MONEY AGENT The Smart Money Agent provides information regarding verified Smart Money wallets that are buying this token. The basic mechanics are: * Perform a lookup of the token on smart wallet sources * Report the findings back to the user in the form of text or images #### WEBSITE AGENT The Website Agent is used to discover what the project is about, and whether or not the website is well designed. It is a lesser signal but does add some value to the research. The basic mechanics are: * Scrape the website * Take a photo of the website * Provide a summary of the website content and visual design #### WHITEPAPER AGENT The Whitepaper Agent provides information about the project, tokenomics, team, and roadmap, giving an overall view of whether or not it is a worthy project to invest in. In general, this agent will save the person time from reading the Whitepaper, but ultimately it will simply find out if it is an interesting project with a team that has a track record to handle their mission and goals. The basic mechanics are: * Analyze the Whitepaper * Provide a comprehensive analysis on it ## All that's left for you to do is pull the trigger. The main question now is...what will you do with all this free time? --- # 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://moondog-1.gitbook.io/moondog/moondog-agent.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.