Terms of the iAgent Protocol (AGNT) Sale:
- IDO Type: Refundable (3 days refund period)
- Total Raise: $450,000
- FDV: $35,000,000
- Listing: 18th of March 2025
- Token price: $0,035
- Token Unlocks: 40% on TGE, 2 month vesting
- Ticker: AGNT
- Blockhain Network: BASE
- SHO tokens network: BASE
- Token Supply: 1,000,000,000
- Initial Market Cap: $2,429,000
- Initial Circulating Supply: 69,400,000
- Hard Cap: TBD
- Mainnet Token Contract: TBD
What is iAgent Protocol (AGNT)?
Create, Own and Monetize your AI agents for Gaming
iAgent's Visual Learning Model empowers gamers to train their own AI agents from gameplay footage, powered by decentralized compute thereby creating a new digital asset class on the blockchain.
Leading Innovation with iAgent
There is no greater power than gamers shaping the world they play in. Yet for decades, game creation and in-game experiences have been controlled exclusively by game publishers. iAgent Protocol is creating an exciting future for gaming—where players are no longer just participants but creators of a new digital asset class, owning and monetizing their gameplay skills through AI agents.
At the core of the iAgent ecosystem is the visual learning model (VLM) and creation of AI agents — virtual players trained directly from human gameplay footage. These AI agents become digital assets that players can own, trade, and deploy across games and virtual worlds. At the growing edge of this ecosystem is a new generation of web3 games, players, and developers who see the potential to personalize and expand gaming experiences using AI innovation. Everything in iAgent is community-driven and decentralized.
Agent protocol proposes a comprehensive solution that combines AI, Blockchain, and Gaming into a single, decentralized platform. The protocol's DePIN infrastructure makes it possible to power AI agents with consumer grade GPUs, making it possible for gamers to monetize underutilized GPU capabilities. Through the Visual Learning Model, AI agents can replicate player behavior, skill, and strategy, transforming gaming from a static experience to an interactive, evolving ecosystem.
The $AGNT token powers the iAgent Protocol, rewarding users for contributing visual data, running protocol nodes, GPU contributions and engaging with AI agents. With $AGNT tokens, players, developers, and game studios can collaborate, creating value and driving AI innovation. In the iAgent ecosystem, everyone has a role to play: iAgent empowers gamers to create and monetize AI agents from their gameplay, while developers and game studios integrate VLM and AI agents to enhance NPCs, bots, and player experiences.
Node operators validate AI agent quality and gamers can contribute GPU power to secure the network and earn tokens and create a decentralized ecosystem that benefits all participants. The future of gaming is interactive, decentralized, and AI-driven. With the iAgent Protocol, players are no longer at the mercy of traditional game publishers—they shape their own gaming experiences, create new revenue streams, and own their in-game identities through AI agents.
What makes iAgent Protocol (AGNT) unique?
The iAgent Protocol establishes a trustless, decentralized framework for AI model validation, execution, and training data integrity. By leveraging verification nodes, cross-DePIN compute integration, and on-chain AI tracking, the protocol ensures AI models remain verifiable, scalable, and securely deployed across Web3 ecosystems.
Key Pillars of the iAgent Protocol
1. Decentralized AI Verification Network
Unlike traditional AI compute solutions, the iAgent Protocol prioritizes verification-first AI execution to ensure trust, security, and decentralization.
- Verification Nodes – Ensuring AI Model Integrity
- 5000+ distributed verification nodes validate AI models before execution.
- AI agents must pass consensus-based verification to ensure correctness.
- Cross-Chain Proof of AI Training
- AI training metadata is hashed and stored on-chain for transparency.
- Ensures AI agents have verifiable training history and ownership.
2. Cross-DePIN Compute Integration
The protocol does not rely on a single compute network but instead orchestrates AI workloads across multiple DePIN providers for scalable training and execution
- DePIN-Agnostic AI Training
- AI models can access GPU and compute power from multiple decentralized networks.
- Reduces cost and optimizes resource allocation across Web3 AI workloads.
- AI Model Deployment Across DePIN Networks
- AI models can be executed across various blockchain and DePIN ecosystems.
- Supports multi-network AI integration with decentralized gaming, research, and enterprise applications.
3. Trustless AI Model Execution & Fair Validation
Ensuring trustless, decentralized execution of AI models through protocol-enforced verification and validation.
- Decentralized Task Distribution
- Verification nodes determine which AI tasks meet quality standards before deployment.
- AI models flagged as low-quality must be re-trained or improved before execution.
- Automated AI Model Validation
- Ensures trained AI models perform as intended before they are used.
- Protects against biased models, incomplete training, or adversarial AI attacks.
- Tokenized Incentives for Verification Nodes
- Verification nodes earn $AGNT rewards for validating AI models.
- Increases network security and incentive alignment for honest participation.
4. AI Training Data Hashing & Tracking – A New Paradigm for AI Ownership
One of iAgent’s key innovations is on-chain training data hashing and tracking, ensuring AI models maintain data provenance and authenticity.
- Immutable Training Data Records
- Every dataset used in AI model training is hashed and stored on-chain.
- Enables auditability of AI model lineage and prevents unauthorized modifications.
- Tracking AI Model Evolution
- Ensures every AI model’s training journey is publicly verifiable.
- Facilitates fair licensing, royalties, and ownership transparency.
- Prevention of Data Tampering
- Protects AI models from malicious re-training or data poisoning attacks.
- Ensures AI remains reliable, unbiased, and ethically sourced.
What is iAgent Protocol (AGNT) roadmap?
Sep 2024: Node infrastructure (4000+ Live Nodes)
iAgent Node infrastructure for AI training validation and data validation
Feb 2025: AGNT XP (440,000+ users)
- SocialFI Agentic experience dashboard with AI gameplay, visual data collection and rewards. Community and AGNT XP+ coming in FEB.
Feb 2025: Visual data collection windows application
- Alpha version of game data collection app launching with Off The Grid, Citizen Conflict.
Mar 2025: AGNT token generation event
Mar 2025: AGNT Base Bridge launch
Mar 2025: CEX listings
April 2025: NEW ERC-AI agent token standard proposal (EIP)
- ERC- introduces a new digital asset standard designed for AI agent assets, enabling seamless execution, validation, and tracking across decentralized AI-powered networks. This standard ensures privacy, transparency, and traceability of AI datasets and training processes while integrating on-chain verification mechanisms to validate ownership and introduces time-locked security measures for AI agent deployment and upgrades to ensure safety of users.
- Lead by iAgent Protocol, contributors from Layer Zero, Sequence, Mon Protocol and AetherCloud
April 2025: AI agent Marketplace launch
- AI agent Marketplace (Features: AI agents deployments, Trading, Renting and more)
June 2025: AI agent game integration showcase and training infra launch
- AI agent with VLM to create NPCs for partners such as Off The Grid, Citizen Conflict
- Beta testing with partner games and a community feedback loop.
June 2025: Visual data monetization infra Q3 2025: Testnet Launch
- iAgent Protocol testnet Deployment on BASE L2
- Offering SDKs and APIs to developers and studios for direct game integration and Dapp developments for games across 200 chains with Layer Zero
Q4 2025: Mainnet Launch
- iAgent Protocol full integration for large-scale user adoption.
iAgent Protocol (AGNT) revenue streams
Pre-revenue
- Protocol transactions, data monetization and game integration
- Token Utilities:
- Platform use cases: Train, Rent, Deploy – AI agents
- Subscription: access to special features such as Esport player/team agents
- B2B: Game integration, Access to iAgent’s SDKs, APIs, Large visual data purchase
What is iAgent Protocol (AGNT) marketing strategy?
- AGNTxp Dashboard: 470K+ users 150K+ DAU (since Jan.28)
- TG Users: 180K+ users joined (since Jan.27)
- Geographic Demography: Our platform has successfully onboarded 470,000 users, demonstrating strong engagement. We have a global presence across 160 countries, with our top five user bases in the USA, Vietnam, India, Bangladesh, and Indonesia, over 70,000 users from the US.
- KOL Collaborations: Zeneca, dingalingts, graildoteth, KCMontero, SanjayWeb3, graildoteth, shanicucic96, Joshyysmartt - investors, ambassadors and more: Ambassador and KOL network
- We work with 600+ communities, 500+ KOLs, 50 official ambassadors
- 50+ AI communities, 2000+ smart investors, 13k ugc submissions, 53k agent pfp
What technologies iAgent Protocol (AGNT) created and used?
VLM is novel concept that built by iAgent team, There is no direct competitor on the market that can train their own AI agent from visual data using DEPIN infrastructure, while also creating those AI agents as digital assets on-chain backed by NEW ERC token standard Lead by iAgent Protocol, contributors from Layer Zero, Sequence, Mon Protocol and AetherCloud Read more.
Who is iAgent Protocol (AGNT) team?
Who are the partners of iAgent Protocol (AGNT)?
What are iAgent Protocol (AGNT) token metrics?
