UATU - Query on-chain data in natural language
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  • Problems UATU is solving
  • White Paper
    • Abstract
    • Introduction
      • Background and motivation
      • Objectives of UATU
      • Scope and limitations
    • UATU Architecture
      • Blockchain Nodes & Knowledge Database
      • UATU Services and Service-Specific Databases
      • UATU API Cluster
      • Natural Language Processing (NLP) module
      • UATU Query Language (UATU QL)
      • Data extraction and presentation
  • UATU Services
    • On-chain data services
      • Implementation details and data sources
    • Integration with third-party APIs (where applicable)
  • User Interface, API, and NPM Library
    • Playground for direct user queries
    • API for developers and organisations
    • UATU libraries
      • Installation and usage
      • Library features and functions
    • Security and access control mechanisms
  • Use Cases and Applications
    • End-user scenarios
    • Developer and organisation scenarios
  • Evaluation and Performance Metrics
  • Future Work and Enhancements
  • Conclusion
  • Appendix
    • UATU QL Syntax and Examples
    • Detailed Service Descriptions
    • API Documentation and Usage Examples
    • UATU Library Documentation and Usage Examples
  • Tokenomics
    • Distribution
    • Token Sale Rounds
    • User Metrics & Trade Data
    • Burning
    • Milestones
  • FAQs
    • AI Model & NLP
    • UATU QL
    • UATU Library
    • UATU APIs
    • UATU Services
      • Wallet
      • Ticker
  • Links & Social
    • Uatu Playground
    • UATU Dev Dashboard
    • Twitter
    • Telegram Community
    • LinkedIn
    • Discord
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Problems UATU is solving

UATU aims to address several key challenges in the blockchain ecosystem by providing an intuitive and user-friendly interface for querying on-chain data across multiple blockchains.

  • Limited accessibility and usability:

    • Blockchain data is often difficult to access and understand for non-technical users. UATU simplifies this process by allowing users to submit natural language queries, making it easier for a broader audience to explore and analyse blockchain data.

  • Fragmented data sources and APIs:

    • With numerous blockchains and associated APIs, developers often have to work with multiple data sources and query languages to retrieve relevant information. UATU consolidates data from various blockchains into a single platform, reducing the complexity and time spent on data integration and management.

  • Inefficient query resolution:

    • Traditional query languages require a certain level of expertise and can be time-consuming to construct and execute. By leveraging natural language processing techniques, UATU efficiently resolves natural language queries into its custom query language (UATU QL), streamlining the process of extracting on-chain data.

  • Inconsistent data formats and structures:

    • Different blockchains may store data in various formats and structures, making it challenging to harmonize and compare data. UATU standardises the presentation of data, offering users a consistent and coherent view of the information.

  • Limited support for cross-chain analysis:

    • As the blockchain ecosystem grows, there is an increasing need to compare and analyse data across multiple blockchains. UATU enables users to query data from multiple blockchains in a single query, facilitating cross-chain analysis and insights.

  • Difficulty in integrating blockchain data into web applications:

    • Developers often face challenges when trying to incorporate blockchain data into their web applications and services. UATU's NPM library simplifies this process by providing an easy-to-use package that integrates seamlessly with web applications, allowing developers to access and display blockchain data with minimal effort.

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Last updated 2 years ago

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