# Block Explorer A [**Block Explorer**](https://bdagscan.com/) is a web-based application that enables users to navigate through the BlockDAG blockchain. It offers a transparent view into the network's operations, allowing users to search, track, and analyze transactions, addresses, and blocks. #### **Key Features:** * **Real-Time Data Visualization:** Access up-to-date information on the latest blocks and transactions, providing insights into network activity.​ * **Transaction Details:** Examine comprehensive information about individual transactions, including sender and receiver addresses, transaction amounts, gas fees, and confirmation statuses.​ * **Block Information:** Explore detailed data on specific blocks, such as block hashes, timestamps, transaction counts, gas usage, and base fees.​ * **Smart Contract Interaction:** Access and verify deployed smart contracts, enhancing trust and enabling users to interact directly with contract functions.​ * **Node visualiser:** this page gives you a summary of nodes deployed on the blockDAG network. * **NFT:** This module lets you have a look at the top NFTs transferred and minted, along with their detail page. This module supports the transfer of images, videos, and GIFs as NFTs. * **Graphs & Stats:** This module gives you graphs of the network, such as gas fee paid, total transactions, total contracts, total verified contracts, and much more. The [BlockDAG Explorer](https://bdagscan.com/) provides a comprehensive dashboard displaying metrics like total blocks, total transactions, and the current BlockDAG price. Users can delve into the latest blocks and transactions, gaining valuable insights into the network's status. --- # 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.blockdagnetwork.io/blockdag-tools/block-explorer.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.