# Dexplore The blockchain is a database for tons of contractual and transactional data. Contemporary explorers sieve through these data to provide information requested by blockchain enthusiasts. But this process is usually tedious. As a fix, we built DEXPLORE. An advanced blockchain explorer that enables anyone to get information from blockchain networks using simple queries Dexplore is an AI search engine for Web3. It is powered by a robust machine learning model and delivers precise and accurate onchain analytics. Dexplore is not trained on on-chain data alone; it has access to off-chain data and is equipped with deepsearch functionalities. Dexplore provides tailored data-driven insights for Qualitative Investment Analysis. Dexplore is not only built to provide data, it is also designed to compute inferences that improve the quality of the UX for investors. Dexplore is capable of generating accurate and precise inferences using a self-learning protocol. Dexplore is a Large Language Model (LLM) built on millions of onchain and off-chain data, and a self-intelligence protocol. It is designed to understand prompts and generate answers to simple and advanced queries. Dexplore’s advanced architecture includes an array of AI agents and a Generative Pre-trained Transformer (GPT). The dynamic structure self-adjusts to handle queries and compute accurate and precise results. Dexplore is currently in Beta. Kindly report errors and malfunctions to representatives in any of our outlets. --- # 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://docs.dexcheck.ai/defai/defai-applications/dexplore.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.