LitePaper - WEB3GO DATA INTELLIGENCE NETWORK
  • Vision
  • Introduction
    • What is data intelligence?
    • Why do we call it a network?
    • Why do we need blockchain?
  • What problem do we address?
    • Challenge 1: Difficulties in accessing and understanding blockchain data
    • Challenge 2: Difficulties in verifying the authenticity of data
    • Challenge 3: Difficulties in rewarding data contributors
    • Solution for the Next Generation of Blockchain Data Products
  • Web3Go Data Intelligence Network
    • Basic Elements
    • Components
    • Participants
    • Workflow
    • Use Cases
    • $Tokenomics
  • Roadmap
    • Roadmap
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  1. Web3Go Data Intelligence Network

Use Cases

For a better understanding, the following use cases explain the usage scenarios of Web3Go DIN:

  1. Creating Reports: A community user (consumer) of PancakeSwap (Pancake is the largest DEX on the BNB Chain) wants to write a comprehensive report based on on-chain and off-chain data, including TVL, number of users, trading activity, and off-chain data (community, media) since PancakeSwap was launched. The user inputs: "I need a report for PancakeSwap based on the on-chain and off-chain data since it was launched." A detailed report based on on-chain and off-chain data is generated. Additionally, if the user finds any errors in the report, they can provide feedback to the system, and after confirmation, the system will reward the user with tokens.

  2. Generating Graphs: An author of a research report (consumer) needs a chart that includes a line graph of the number of users and transactions on the Ethereum mainnet over the past 72 hours. The user inputs: "Create a line chart for the number of active users and transactions for the past 72 hours on Ethereum's mainnet." A chart containing the requested information is generated. The user needs to pay a certain amount of tokens to the system to complete the query.

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Last updated 2 years ago