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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  1. UATU Services

On-chain data services

Description of On-chain Services

UATU's on-chain data services are designed to provide users with comprehensive access to information stored on various blockchains. This includes data such as transaction details, smart contract interactions, token transfers, and more. By offering a suite of on-chain data services, UATU aims to empower users to access and analyze blockchain data in a seamless and efficient manner.

The on-chain services include, but are not limited to:

  • Transaction data: Access and analyze transaction details, including metadata, input and output addresses, and transaction values.

  • Smart contract data: Access and analyze smart contract interactions, including contract code, state changes, and transaction history.

  • Token transfers: Analyze token transfers between addresses, including the details of the tokens involved and the transfer amounts.

  • Blockchain protocol-level data: Access and analyze data related to the underlying blockchain protocols, such as consensus mechanisms, governance changes, and protocol upgrades.

  • Oracles: Analyze the data provided by on-chain oracles, assess the accuracy and reliability of their inputs.

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Last updated 2 years ago

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