Singularity Finance
  • Singularity Finance
  • Introduction
  • Background
    • Merger
  • Market Opportunity
    • Tokenise, Monetise and Decentralise the AI Economy
      • Hardware Layer
      • Platforms
      • Foundation Models and Knowledge Graphs
      • Model Hubs
      • Applications
      • Services
      • Data: Monetising Data Contributions
  • SFI Value Proposition
    • Dedicated Layer-2 for AI Economy
    • Core Pillars of the SFI L2
      • AI-Centric dApp
        • Singularity Rep Points
      • Tokenisation Framework
      • Identity Solutions
      • SFI Vaults
        • Architecture
        • Profit Framework
        • Operational Flow
        • Use Cases for SFI Vaults
        • Features
          • Strategies
          • Vault Management Dashboard
          • Risk Engine
          • Execution Engine
          • Fee Infrastructure
          • Governance
          • Router
          • Oracles
          • Zapper Framework
          • Keepers
      • Auxiliary Features
        • AI-Driven Market Making and Liquidity Provisioning
        • Prediction Markets
        • On/Off Ramps
    • Tokenised Data Centres
  • SFI L2
    • Introduction
    • L2 Architecture
      • Operational Model: Optimistic Rollups
      • Data
      • Sequencer
    • Core Features
      • Bridges
      • Indexers
      • Oracles
      • Relays
      • Verifiable Random Function (VRF)
      • Account Abstraction
      • Automation and Offchain Data Integration
  • LAunch
    • Testnet
      • Setup Guide
      • How to Participate in the SFI Testnet
      • FAQs
    • Mainnet
  • Tokenomics and Utility
    • Token Merge & Allocations
      • Allocation & Distribution
    • Token Utility
    • SFI Nodes
      • Details
    • Roadmap
    • Leadership Team
    • Conclusion
    • Appendix
  • Legal
    • SFI Token Terms & Conditions
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  1. SFI L2
  2. Core Features

Automation and Offchain Data Integration

Singularity Finance integrates reliable automation capabilities and offchain data feeds, transforming static contracts into dynamic systems that adapt in real-time. Automation occurs through event-driven workflows, where specific conditions—such as a price threshold or time interval—trigger predefined actions on the blockchain. For instance, a decentralised trading platform could execute trades automatically when AI-powered algorithms detect market trends. Such workflows eliminate the need for constant user intervention, enhancing efficiency and intelligence in decentralised systems.

Together, automation and offchain data and oracle integration create an environment where dApps become not only smarter but also more connected to the real world, driving meaningful adoption.

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Last updated 5 months ago