In this post:
- The platform is designed to simplify blockchain integration and automation, making it easier for developers to create and manage decentralized operations.
- The firm optimizes key features such as the GraphLinq IDE, GraphLinq protocol, and Template Wizard to harness blockchain automation’s power effectively.
- GraphLinq addresses the internet’s concern with deepfakes, bots, and AI behavior that is indistinguishable from that of humans and offers solutions for proof of humanity.
The GraphLinq ecosystem comprises the GraphLinq Protocol (GLQ) and the GraphLinq Chain. The GraphLinq Protocol is an automated, no-code blockchain process management solution designed to make it easy for users to deploy and manage various types of automation without the need for coding skills.
GLQ is GraphLinq Protocol’s native token which is used for transaction fees, governance, staking, and incentivizing network participants. The platform’s token follows a deflationary model where tokens used as fees are burned, reducing the total supply over time and potentially increasing the token’s value.
The protocol utilizes GLQ to run graphs on its mainnet or testnet, executing various processes over the blockchain to automate tasks and trigger events. The token offers governance rights that allow users to decide on future network advancements and vote on new block additions and pricing for the ecosystem’s execution. The protocol ensures that both technical and non-technical users can harness the power of blockchain automation effectively.
The firm optimizes its key features for automation
GraphLinq Chain revealed on X that the GraphLinq Template Wizard App is a user-friendly interface that allows users to access pre-made automation templates and deploy them with just a few clicks. The platform also highlighted that the templates make customisation easy for users by updating variables and deploying the automation directly from the app. The Template Wizard caters to various needs like trading bots, data aggregation, and notification systems. The company believes this feature makes it easy for beginners to start with automation without a steep learning curve.
The GraphLinq Integrated Development Environment (IDE) is a tool that allows users to generate automation via a simple drag-and-drop interface. The protocol’s IDE gives users a visual representation of the automation process, making it easy to connect different nodes together to create complex automation.
GraphLinq announced on December 4 its new GraphLinq Intent AI LLM with a few case studies. The platform disclosed that the AI could create tokens on blockchains like Solana, Polygon, MultiversX, Avalanche, Ethereum, and BNB Chain. Furthermore, the firm added that its AI can also automate trades on any DEX available in its IDE, such as Uniswap, QuickSwap, and PancakeSwap. On the other hand, GraphLinq also highlighted that it can automate trades on CEXs available on its IDE.
The protocol also maintains that its Intent AI LLM can create NFTs on any supported blockchain. The company’s AI also aims to help users set up smart contract execution, tracking, and analytical tools.
The GraphLinq Engine is vital to the Graphlinq Protocol because it executes automation and ensures that they are executed accurately and securely. The engine operates on the GraphLinq Chain and is in charge of executing the nodes in a user’s automation. The automation feature supports over 140 types of blocks, including those for messaging services like X and Telegram and exchanges.
The GraphLinq Chain is a Proof-of-Authority (PoA) Layer 1 blockchain that supports the GraphLinq Protocol. The chain provides a secure and scalable platform for running automation by leveraging Proof-of-Stake (PoS) consensus mechanism. The GraphLinq Chain is EVM-compatible which allows it to support Ethereum–based smart contracts and applications.
The GraphLinq Marketplace also offers a platform for users to buy, sell, and trade GLQ templates and other types of automation. The platform allows users to have access to several automation templates which they can connect with other users to offer or request specific types of automation.
GraphLinq utilizes its use cases for blockchain automation
The platform allows automated trading using trading bots that execute trades based on predefined rules. The firm will allow you to set conditions like price thresholds and volume triggers. The platform’s automation can help users capitalize on market opportunities 24/7 without manual intervention. For example, the firm lets you create a bot to buy Bitcoin when its price drops below a certain level and sell when it rises above a target price.
The company also affirms that users can collect and analyze data from multiple sources to make informed decisions. Users can utilize GraphLinq to aggregate data from social media, news sites, and market feeds. For example, users can set up a graph to fetch and analyze X mentions of a particular cryptocurrency to gauge market sentiment and make better investment decisions.
Users can also use GraphLinq to manage DeFi protocols like market makers, lending platforms, and yield farming strategies. The platform allows users to automate tasks such as interest calculation, liquidity provision and reward distribution. The firm believes that it ensures efficient and error-free operation of DeFi protocols. What’s more, users can automate the process of moving funds between different yield farming platforms to maximize returns.
GraphLinq also allows users to automate the minting, transferring, and managing non-fungible tokens (NFTs) and in-game assets. By creating automated workflows for asset management, users can enhance their gaming experience.
The platform also allows smart contract automation for tasks like token transfers, staking, and governance voting. Users can automate these processes to reduce manual effort and minimize errors.
On December 11 on X, the platform announced that Chinese and Arabic have been added to their site. The firm hopes to cater to anybody exploring the site from Shanghai, Riyadh, or Abu Dhabi.
GraphLinq also disclosed on its official site its concerns about new regulations as cryptocurrency continues to gain mainstream adoption. The platform highlighted some key concerns, including the impacts of regulatory changes on crypto, potential risks for investors in 2025, and practical steps to mitigate regulatory risks.
GraphLinq also revealed its integration with OpenAI blocks. The integration will enable users to create AI agents capable of analyzing and responding to real-time data without needing coding skills.
The firm also hopes to address the challenge of AI bots disrupting spaces like crypto gaming. GraphLink argued that advancements in AI technology are making it increasingly difficult to differentiate fake accounts from real ones. The platform admitted that several blockchain-based projects aim to address the problem of proving humanity. For example, companies like Holonym use private keys based on biometric or personal data to identify real humans. Civic also utilized a “simple video feed” for verification to add a layer of singularity to confirm identity. Lastly, Worldcoin optimizes its iris-scanning technology to create unique identifiers to provide proof of personhood.
