Tenderize.​me Aims to Streamline Liquid Staking

**The Graph Token API Beta** now allows users to access blockchain token data through simple natural language queries. **Key Features:** - Natural language processing for token data queries - Integration with popular AI tools like Cursor, Claude, and Cline - Support for Solana token transfers and balances - Full NFT and token coverage on Avalanche - OHLC price data from Uniswap V4 - Enterprise-grade infrastructure **Use Cases:** - Analytics enhancement - AI agent training - Portfolio tracking - Dashboard development - Wallet UI integration The API uses **Model Context Protocol (MCP)** to connect with LLMs and AI assistants, making blockchain data more accessible to developers and analysts. [Get started with Claude](https://thegraph.com/docs/en/ai-suite/token-api-mcp/claude/) | [Cline setup](https://thegraph.com/docs/en/ai-suite/token-api-mcp/cline/) | [Cursor integration](https://thegraph.com/docs/en/ai-suite/token-api-mcp/cursor/)

**The Graph Builders Basecamp** offers a practical learning path for Web2 developers transitioning to web3. Key features: - Short, hands-on missions designed specifically for Web2 developers - Focus on **faster, more composable** web3 workflows - Space-themed NFT rewards as proof of progress - Gamified approach to learning blockchain development fundamentals The platform teaches core web3 concepts through real-world building exercises rather than theoretical lessons. Developers complete missions to gain practical experience with smart contracts and blockchain indexing. **Perfect for developers** ready to explore web3 without overwhelming complexity.

**The Graph is positioning itself as critical infrastructure for AI agents** operating in the web3 ecosystem. The protocol provides: - **Structured blockchain data** with reduced latency - **Lower infrastructure overhead** for developers - **Real-time access** to web3 data across multiple blockchains This follows a successful case study with CreatorBid, which integrated The Graph's Subgraphs to eliminate infrastructure costs and enable real-time data access for their AI agent platform. **Key value proposition**: AI agents require fast, accurate blockchain data to function effectively. The Graph's decentralized indexing protocol offers developers a plug-and-play solution rather than building custom data infrastructure. The timing aligns with growing interest in AI agents within crypto, as projects seek reliable data sources for training and operating intelligent systems on blockchain networks.

The Graph's decentralized knowledge graph system is positioning itself as a crucial infrastructure for AI development. Here's why it matters: - **Open Data Access**: The Graph provides transparent and permissionless data access, essential for AI advancement - **Decentralized Knowledge**: Information remains composable and accessible, unlike traditional closed systems - **Future Impact**: New AI models are expected to develop using The Graph's growing knowledge graph infrastructure The protocol's approach challenges current AI data paradigms by ensuring open access and transparency, potentially reshaping how AI systems evolve and access information.

The Graph Foundation has announced winners of the ETHGlobal Cannes hackathon, awarding $10,000 in total prizes across three categories: - **GRC-20-ts Library Category** ($1000): Cosmiq won for their AI platform building web3 apps from prompts - **Hypergraph Framework Category**: • 1st Place ($3000): Hypermaps - LLM mind-mapping tool • 2nd Place ($2000): Livus - health data ownership platform - **Graph Token API/Subgraphs Category**: • 1st Place ($2500): CCTUP - cross-chain transaction management • 2nd Place ($1500): circules_subgraph - trust-based token flow visualizer All winning projects demonstrated innovative uses of The Graph's technology for data indexing and knowledge management.