UATU - Query on-chain data in natural language
PlaygroundNPM PackageAPI Dashboard
  • 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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  1. White Paper
  2. Introduction

Background and motivation

The proliferation of blockchain platforms has resulted in a fragmented landscape, with each platform having its own data structures, formats, and query languages. This fragmentation presents several challenges for users and developers seeking to access and analyse on-chain data:

  • Limited accessibility and usability: The technical expertise required to interact with various blockchain query languages and APIs creates a barrier for non-technical users who want to access information, hindering the broader adoption of blockchain technology.

  • Fragmented data sources: Developers often face the daunting task of integrating data from multiple blockchains and APIs into their applications and services, which can be time-consuming, complex, and prone to errors.

These challenges underscore the need for a unified platform that simplifies the process of querying on-chain data across multiple blockchains, allowing both end-users and developers to easily access and analyse the information they need.

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Last updated 2 years ago

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