Blockchain

The Graph and Chainlink are both Web3 infrastructure protocols, but they play different roles. The Graph focuses on blockchain data indexing and querying, providing efficient data access services for DeFi, NFT, and DAO applications. Chainlink, by contrast, provides decentralized oracle services that transmit off-chain data into smart contracts. In simple terms, The Graph is responsible for “reading on-chain data,” while Chainlink is responsible for “bringing in off-chain data.” Together, they form an important part of Web3 data infrastructure, and the value logic of their tokens, GRT and LINK, depends respectively on demand for data queries and demand for oracle calls.

The Graph defines indexing rules through Subgraphs, uses Indexers to carry out data indexing tasks, and provides efficient data query services through GraphQL. It helps developers quickly access on-chain data and significantly reduces the cost of data processing for Web3 applications. The Graph’s operating mechanism makes it important infrastructure for applications such as DeFi, NFTs, and DAOs, while also serving as a key source of value for the GRT token.

The Graph (GRT) is a decentralized blockchain data indexing protocol designed to help developers access and query on-chain data more efficiently. Through technologies such as Subgraphs, Indexers, and GraphQL, it provides foundational data services for Web3 applications including DeFi, NFTs, and DAOs. GRT is the native token of The Graph network and is used for paying query fees, staking rewards, and network governance.

This article leverages marketplace data logic, platform strategy shifts, and regulatory trends to examine the genuine growth path of NFTs in the post-speculation era—transitioning from avatar trade toward verifiable digital equity, content distribution, and on-chain commercial infrastructure. It also outlines three practical future development scenarios and participation strategies.

Arbitrum has frozen around $72 million in hacker assets, igniting debate over the boundaries between decentralization and governance. This article examines the reconstruction of DeFi trust structures through the lens of the Kelp DAO attack, cross-chain risks, on-chain governance mechanisms, and marketplace reactions.

Blockchain.com has introduced Perpetual Futures Trading to its Non-Custodial Wallet, enabling users to use Bitcoin directly as collateral for leveraged trading. This article explores the mechanism behind this feature and examines its implications for trading models.

The Diem (DIEM) tokenomics model is a supply, incentive, and value distribution system built around on-chain AI compute resources. By linking staked assets (VVV) with demand for compute usage, it turns “compute as an asset” into a tokenized model. Unlike general-purpose tokens, DIEM’s core value does not come solely from trading or governance. It is directly tied to the production and use of AI compute resources.

With the introduction of wXRP, XRP holders now have direct access to the Solana ecosystem, enabling them to engage with DeFi applications without needing to sell their assets. This article will analyze how wXRP operates and its broader implications.

Kalshi, a leading US prediction market platform, is reportedly preparing to introduce crypto Perpetual Futures, marking a possible shift of its business focus from event prediction to financial Derivative trading. This article explores the fundamentals of Perpetual Futures and examines the broader market implications of this move.

Food delivery platform DoorDash is set to implement a stablecoin payment system, utilizing blockchain technology to improve settlement efficiency and lower costs. This article examines the partnership model and its potential implications for the payments industry.

Diem (DIEM) is a blockchain-based asset designed to tokenize AI computing resources, representing sustainable API compute capacity through on-chain tokens. As artificial intelligence converges with blockchain infrastructure, Diem is increasingly used in on-chain AI systems, AI agents, and decentralized applications as a foundational layer for compute supply. At its core, it transforms what was once rented, on-demand compute into a holdable and tradable digital asset.

Quant (QNT) is an infrastructure-focused digital asset designed to enable multi-blockchain interoperability and enterprise blockchain connectivity. Through the Overledger network, it allows data and assets to move between different blockchains. As the number of blockchain networks continues to grow and demand for cross-chain communication increases, Quant is widely used in multi-chain application development, financial institution system integration, and enterprise blockchain connectivity.

Quant (QNT) is designed to connect multiple blockchains with traditional financial systems. Through the Overledger network, it enables communication and data exchange across chains. As the multi-chain ecosystem continues to expand, data silos between blockchains have become increasingly apparent. Quant addresses this by offering a unified interface that links various blockchains and enterprise systems, making cross-chain applications and digital asset transfers possible.

0G and Bittensor both belong to the decentralized AI sector, but they serve fundamentally different roles. Bittensor is a decentralized AI model network that connects machine learning models through incentive mechanisms, while 0G is an AI-focused infrastructure layer that provides execution, storage, data availability, and compute. In simple terms, Bittensor powers AI model collaboration, while 0G provides the environment where AI applications run.

0G is a decentralized AI-focused Layer 1 infrastructure that uses a modular four-layer architecture, Chain, Storage, Data Availability (DA), and Compute, to support on-chain AI and AI agents. This design is optimized for AI workloads, enabling efficient computation, scalable data storage, and verifiable results within a decentralized network, ultimately improving performance and trust in AI applications.