Agentify Whitepaper
  • Welcome
  • Getting Started
    • Overview
    • Market Opportunity
    • Problem Statement
    • Solution
  • Agentify Platform Architecture
    • User Interface Layer
    • AI Engine
    • Agent Orchestration Layer
    • Blockchain Interaction Module
    • Smart Contracts
  • CORE AGENTS
    • Swap Agent
    • Lending & Borrowing Agent
    • Staking Agent
    • Bridge Agent
    • Smart Trading Agent
  • Agentify Developer Framework
    • Overview
    • SDK and APIs
    • Agent Definition Schema
    • AI Playground (Sandbox)
    • Security & Compliance Layer
    • Deployment Options
  • Agentify Marketplace
    • Overview
    • Agent Discovery
    • Quality Assurance
    • Monetization Models
  • Agentify Workflow
    • User Workflow
    • Developer Workflow
  • Use Cases
    • Retail Crypto Users
    • Active Traders
    • DAOs and Treasury Managers
    • Builders & Developers
    • GameFi & Metaverse
    • NFT Collectors & Artists
  • Revenue Model
    • Transaction Fees
    • Premium Subscriptions
    • Marketplace Commissions
    • Enterprise Licensing & White-Label Integrations
  • Agentify Roadmap
    • Phase 1: Core Platform Launch
    • Phase 2: Developer Framework
    • Phase 3: Agentify Marketplace
    • Phase 4: Monetization & Economic Layer
    • Beyond – Future Vision Milestones
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  1. Agentify Developer Framework

AI Playground (Sandbox)

Developers can test their agents in a safe environment before real-world deployment.

What the sandbox provides:

  • Run simulations using testnets like:

    • Ethereum Goerli

    • Polygon Mumbai

  • See how the agent:

    • Parses a prompt

    • Chooses actions

    • Executes smart contract logic

  • Debug view: Shows step-by-step decision-making, gas estimations, and testnet responses.

Think of it as a "flight simulator" for Web3 AI agents.

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Last updated 8 days ago