Quick Reads

Zcash uses zk-SNARKs (Zero-Knowledge Succinct Non-Interactive Arguments of Knowledge) to enable private transactions, allowing them to be verified without revealing the sender, receiver, or transaction amount. This approach replaces data disclosure with mathematical proofs, ensuring transaction validity while keeping critical information hidden. At its core, zk-SNARKs make it possible to prove that a condition is true without exposing any underlying data. In Zcash, this mechanism is used to verify fund origins, enforce balance constraints, and prevent double spending, allowing private transactions to operate securely on a public blockchain.

On April 9, 2026, Gate opened its Pre-IPOs reservation access. Users can explore participation details and complete the application process through a streamlined interface, offering a more accessible and structured experience.

Privacy coins provide data protection for blockchains by hiding the sender, receiver, and transaction amount. Their use cases go far beyond anonymous payments, extending into commercial transactions, asset security management, and identity privacy protection. Zcash, which uses zero-knowledge proofs, introduces an “optional privacy” model that allows users to choose between transparent and private transactions, making it adaptable to a wide range of real-world needs.

NFT storage does not involve placing full files directly on the blockchain. Instead, smart contracts record ownership, while metadata and media files are stored either on-chain or in off-chain systems. Most NFTs use a hybrid “on-chain + off-chain” model, where the blockchain records token IDs and ownership, and media files are stored in decentralized networks such as IPFS and Arweave or on centralized servers. The security of NFT storage depends on a combination of data structure design, storage location, and access methods, such as cold storage or hot wallets.

An NFT transfer refers to the process of sending a non-fungible token from one wallet address to another through a blockchain network. At its core, this is a change in ownership recorded within a smart contract. The process typically involves selecting the NFT, entering the recipient’s address, confirming the transaction, and paying network fees. The cost of transferring an NFT depends on blockchain gas fees, while security relies on address verification, private key management, and platform reliability. As cross-chain technology and user experience continue to improve, NFT transfers are becoming more efficient and accessible.

7x7=49 (49) is a Meme coin issued on the Solana network. Its core is not technical functionality, but the viral spread and community consensus built around the simple expression “7×7=49.” As Meme culture has evolved within the crypto industry, tokens like this gain perceived value through social media diffusion, user participation, and emotional resonance. Unlike traditional utility tokens, 7x7=49 relies more on economic attention and community-driven dynamics. Its spread typically begins with a simple symbol, which, through repetition and reinterpretation, gradually evolves into a crypto asset recognized by the market. This process reflects the underlying logic of Meme coins, where culture itself becomes value.

Keeta operates around three core pillars: transaction execution, compliance validation, and integration with external systems. A typical transaction in Keeta goes through stages such as signature construction, rule validation, network propagation, consensus ordering, and state execution. Through anchors, it can also interact with fiat systems, identity systems, and other blockchains. This design allows Keeta to maintain high performance while directly connecting on-chain activity with traditional financial systems.

Unitas (UNITAS) is a decentralized yield-bearing stablecoin protocol that deploys user assets into on-chain liquidity pools and hedging structures using a Delta Neutral strategy. This approach enables the generation of yield while maintaining price stability. Its core assets include USDu, the base stablecoin, and sUSDu, a yield-accruing asset that represents earned returns. Unlike traditional stablecoins that rely on reserves or overcollateralization, Unitas generates yield through active strategy management, transforming stablecoins from passive stores of value into productive on-chain assets.

Unitas operates through a structured process that involves the minting of USDu, deploying assets into liquidity pools (such as JLP), hedging risks, and distributing returns. When users deposit assets, they receive USDu, and these assets are allocated to market-neutral strategies designed to capture trading fee and funding rate returns. The resulting returns are then distributed to users in the form of sUSDu. This mechanism allows the stablecoin to deliver yield while maintaining relative price stability.

UNITAS (UP) is the native token of the Unitas protocol, primarily used for incentive distribution, ecosystem coordination, and potential governance functions. Its tokenomic model drives the adoption and growth of the stablecoin USDu by distributing tokens to users, liquidity providers, and ecosystem participants. Unlike traditional stablecoins, UNITAS does not directly participate in price pegging. Instead, it acts as an incentive layer that connects yield generation mechanisms with protocol expansion, forming a value cycle of “usage, incentives, and growth.”

As artificial intelligence technology continues to advance rapidly, trading models in financial markets are steadily evolving toward greater automation and intelligence. AI now goes beyond market data analysis, taking an active role in both strategy development and trade execution. To keep pace with this trend, Gate has introduced Gate for AI. By integrating trade, data, and on-chain capabilities, Gate for AI delivers a trading environment purpose-built for AI, empowering AI to directly engage with the digital assets marketplace and drive greater trading efficiency.

As artificial intelligence technology increasingly integrates with the financial marketplace, trading models are evolving from human-led to AI-driven approaches. This article examines the core architecture and key modules of Gate for AI, detailing how AI enables both marketplace analysis and direct trade execution. It also discusses the implications of this innovative trading model for the Web3 ecosystem.

Gate for AI is an advanced AI Agent trading infrastructure introduced by Gate, combining five core capabilities: CEX, DEX, wallet signature, market intelligence, and on-chain data. Utilizing a dual-layer framework of MCP and Skills, AI can seamlessly manage the full cycle from market analysis to trade execution. This establishes a solid foundation for next-generation AI-native Web3 trading models.

Gate AI has completed a significant feature upgrade, adding and enhancing 20 functions across 12 key business scenarios—including contract trading, spot trading, market analysis, and asset management. Users can now place orders, perform market analysis, and manage accounts using natural language, delivering a more intuitive, unified AI trading experience.

Gate AI has officially launched its web portal, adding a range of intelligent assistant features such as the user center, marketing campaigns, asset management, and personalized recommendations. These updates accelerate the platform’s shift to an AI-driven intelligent service layer, further elevating the user experience.