# Data Sources While it’s important to stay on top of the news, follow key twitter and reddit accounts and learn as much as you can by consuming books, articles, videos and podcasts, if you really want to get ahead you need to **do your own diligence**. One of the great things about the crypto space is that virtually all the data you need is publicly available on-chain and accessible 24/7. You can see how many users a project has, how much they are transacting, what the top wallets are doing, who’s trying to squeeze projects through MEV, etc… This allows you to monitor the space in real-time, perform your own analysis and develop your own insights. While the ideal way to do this will always be directly through the block explorers of each project, that’s not always practical and - as such - many investors and researchers use data aggregation tools. In the following section, I provide a list of the most popular tools categorized by: * **General Market Information**: Sites that provide high-level market information such as prices, volume, marketcap, etc… * **Industry Information**: Sites that provide detailed industry analysis, such as NFT sales, TVL locked in DeFi, virtual land sales, etc… * **On-Chain**: Sites that provide detailed on-chain analytics ranging from # of addresses, address growth, transaction volume, fees, MEV tracking, etc… * **Block Explorers**: Block explorers for popular Layer 1s * **Social**: Provide tools for sentiment analysis such as Reddit subscribers, social dominance, etc… * **Technical**: Provide information on developer activity, security vulnerabilities, decentalization, etc… * **Tokenomics**: Sources that relevant information on upcoming ICOs, token unlocking schedules, wallet tracking, etc… I’ve also provided a section with some of the tools I personally find the most helpful. Keep reading to learn more… :point\_right: --- # Agent Instructions: 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: ``` GET https://www.digitalnations.xyz/resources/data-sources.md?ask= ``` The question should be specific, self-contained, and written in natural language. 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.