GraphAIPrice

(GAI)

GraphAI is a decentralized AI data layer built on the Base network. It addresses the difficulty AI models face when interpreting complex, real-time on-chain data. By utilizing GraphRAG (Graph Retrieval-Augmented Generation) technology, GraphAI indexes blockchain data and creates structured "knowledge graphs." This enables AI agents to understand the deep relationships between data points rather than just viewing raw transaction lists, allowing them to make intelligent, data-driven decisions for users and decentralized protocols.

The ecosystem is built on three foundational products: GraphEngine, GraphRWA, and GraphFi. GraphEngine focuses on high-performance data indexing and knowledge graph creation. GraphRWA is a specialized framework designed for the management and tracking of tokenized Real-World Assets, such as real estate or carbon credits. GraphFi provides AI-driven intelligence specifically for Decentralized Finance applications. Together, these tools allow developers to build advanced AI agents that interact seamlessly with both on-chain and off-chain data.

The $GAI token serves as the native utility asset for the GraphAI platform. It is primarily used for payments to cover data queries and the creation of sub-indexes. Additionally, users can participate in staking through GraphPools to help secure the network and earn rewards. The token also functions as an incentive mechanism, rewarding developers and data providers who contribute to the growth and accuracy of the decentralized knowledge graph.

$GAI is available for trading on major cryptocurrency exchanges, including LBank. Since the token is native to the Base network, users can manage it using wallets like MetaMask or Phantom by adding the Base network and importing the official contract address. While some wallets may initially show an "unverified" warning, this is a standard procedural step for newer tokens until they are manually whitelisted by the wallet provider.

GraphAI utilizes the Model Context Protocol (MCP) to standardize how AI models receive structured blockchain data, which significantly reduces development and integration time. By combining this with GraphRAG technology, the platform provides AI models with a "map" of data relationships. This approach is designed to increase AI model accuracy compared to standard prompt-based methods, as the AI gains a deeper relational understanding of the blockchain environment rather than processing isolated data points.

GraphAI bridges the gap between physical assets and decentralized intelligence through its GraphRWA product. It tracks tokenized commodities, real estate, and other tangible assets to provide high-fidelity data for AI analysis. This allows institutional AI agents to monitor and manage physical assets with precision. By linking blockchain data to real-world outcomes, GraphAI enables a new generation of AI-driven financial services that can operate across both traditional and decentralized markets.