Grant Chain Docs
  • Executive Summary
  • core concepts
    • Problem Statement
  • The GrantChain Solution
  • Technical Architecture
  • Tokenomics
  • AI Model Marketplace
  • Autonomous AI Agents
  • Governance Framework
  • Roadmap
    • Conclusion
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The GrantChain Solution

A deep dive into the five foundational innovations that make GrantChain a truly AI-native blockchain.

GrantChain isn’t patching AI onto blockchain. It’s redesigning the Layer 2 stack from the ground up to support AI-first logic, execution, and economics.

Here’s how it works:

🤖 1. AI-Enhanced Smart Contracts (AISC)

GrantChain introduces a new smart contract primitive — the AI-enhanced smart contract, or AISC.

These contracts integrate embedded inference calls, allowing smart contracts to:

  • Query AI models mid-execution

  • Make decisions based on model responses

  • React to unstructured data like language or prediction

  • Adapt logic over time through upgraded models

Imagine a contract that doesn't just respond — it reasons.

🛠 2. On-Chain AI Model Marketplace

The protocol features a fully decentralized AI marketplace where:

  • Developers upload trained models (LLMs, classifiers, predictors)

  • Smart contracts consume these models via on-chain APIs

  • AI providers earn $GRANT per execution

  • All execution can be verified using zkML (Zero-Knowledge Machine Learning)

This is the first on-chain AI economy — open, programmable, and native to the protocol.

🧬 3. Autonomous AI Agents

GrantChain supports a native agent framework with an SDK to deploy on-chain agents that:

  • Trade assets

  • Interact with protocols

  • Coordinate with other agents

  • Upgrade their behavior using new models from the marketplace

  • Operate with full autonomy based on defined objectives

Agents are first-class citizens of the chain.

📡 4. Zero-Trust AI Oracles

GrantChain introduces AI-powered oracles that:

  • Aggregate external data (news, prices, sentiment)

  • Run model-based analysis natively

  • Deliver results with zkML-backed verifiability

These oracles offer far more than static price feeds — they provide predictive intelligence.

🧠 5. zkML Compute Layer

Underneath it all is the AI execution engine: A WASM-based runtime optimized for model inference with native zkML proof generation.

This means every AI call can be trustlessly verified on-chain — no opaque APIs or unverifiable results.

Together, these 5 pillars turn GrantChain into a new kind of infrastructure:

One where AI is programmable, agents are autonomous, and logic evolves in real time.

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Last updated 4 days ago