Blockchain

0x Protocol is an open protocol that provides infrastructure for decentralized trading. It allows developers to access on-chain asset trading capabilities through standardized smart contracts and APIs. By combining off-chain order broadcasting with on-chain settlement, 0x reduces transaction costs while preserving the security of decentralized settlement, providing reusable liquidity support for wallets, DEX aggregators, and DeFi applications.

Stellar and Ripple are both blockchain networks designed for cross-border payments. However, Stellar prioritizes open payments and financial inclusion, whereas Ripple focuses on institutional settlement and bank-level payment infrastructure.

XLM is the native token of the Stellar network. It is mainly used for paying transaction fees, maintaining minimum account balances, preventing network abuse, and acting as a bridge for asset conversions.

Stellar is a blockchain network dedicated to cross-border payments, designed to facilitate low-cost and rapid global fund transfers using a decentralized ledger.

BTT (BitTorrent Token) is a utility token used to incentivize decentralized data transmission and resource sharing. Its core role is to introduce an economic mechanism into the BitTorrent network, improving bandwidth allocation and resource utilization. By turning what was originally voluntary P2P resource exchange into a price based market activity, BTT makes bandwidth and storage tradable digital resources, helping the entire network evolve toward a more efficient market driven structure.

The BitTorrent network structure is a data distribution system based on a peer to peer (P2P) model. Its core function is to enable decentralized file transfer through direct data exchange between nodes. Unlike traditional architectures that depend on central servers, BitTorrent distributes data delivery capacity across every participating node, allowing the network to operate without centralized control.

BitTorrent (BTT) is a decentralized file distribution protocol built on a peer to peer (P2P) network, designed for efficient data transfer and sharing among users. By splitting files into multiple pieces and distributing them across different nodes, BitTorrent enables content delivery without relying on a central server. As blockchain technology has developed, BitTorrent has introduced the BTT token to incentivize network participants to provide bandwidth and storage resources.

0G is a decentralized AI Layer 1 infrastructure network that also functions as an AI operating system, purpose-built for AI agents and on-chain AI applications. It combines an execution layer, data availability (DA), decentralized storage, and compute capabilities to deliver a high-performance, low-cost, and verifiable environment for AI workloads. Compared to traditional blockchains, 0G is modularly optimized for AI use cases, making it better suited for large-scale inference and on-chain intelligent applications.

The Cardano development team has introduced multiple funding and technical proposals for 2026, centering on the Leios scalability upgrade. The objective is to dramatically improve trade processing capacity and streamline the developer experience.

KAITO is an InfoFi infrastructure platform that seamlessly combines AI-driven information processing with Web3 incentive and governance mechanisms. Its primary goal is to convert unstructured data scattered across social media, community forums, and on-chain activities in the crypto marketplace into decision signals that are searchable, comparable, and verifiable. By leveraging token and governance mechanisms, KAITO ensures that information value is returned to ecosystem participants.

KAITO ($KAITO) is the native token of the Kaito AI-powered InfoFi network, functioning as the network currency, coordinating attention, and enabling community governance. Drawing on official documentation and public sources, this article provides a systematic overview of the token's primary use cases, initial allocation and community incentive structure, staking and voting participation methods, market pricing, and drivers of long-term narratives. It also offers an objective discussion of potential risks—including token unlocking, regulatory factors, and changes in the product roadmap—to help readers understand how the token mechanism is intertwined with the platform’s growth.

Prediction market platform Kalshi has introduced a commodity trade section and integrated the Pyth price oracle for data support. This article outlines how it works and its potential impact on the marketplace.

KAITO (Kaito) is an AI-powered Web3 information and InfoFi (Information Finance) infrastructure platform designed to integrate diverse data sources from the crypto landscape, including social media, governance forums, and on-chain events. By transforming fragmented intelligence and attention flows into structured, searchable, sortable, and incentivized signals, KAITO leverages natural language processing, enhanced retrieval, and influence modeling technologies to extract and organize insights such as "who is discussing what and how narrative heat migrates" from massive volumes of unstructured text. This serves research analysis, institutional intelligence, and ecosystem participation scenarios. The token mechanism is seamlessly connected to attention incentives, creator monetization, and capital marketplace tools, forming a system narrative where the intelligence layer and value distribution layer are closely integrated.

Compound enables crypto asset lending through decentralized liquidity pools. Users can deposit digital assets into the protocol to earn interest, or borrow other assets by providing collateral. The entire lending process is executed automatically by smart contracts, including asset deposits, cToken minting, borrowing limit calculation, interest rate adjustment, and liquidation management, without relying on traditional financial intermediaries.

Compound’s interest rate model is an algorithmic mechanism based on the Utilization Rate of funds. It is used to dynamically adjust borrowing rates and deposit rates. When a larger share of assets in a liquidity pool is borrowed, the borrowing rate rises, and the deposit rate changes accordingly. This encourages more capital to enter the market and helps maintain liquidity balance. As one of the core mechanisms of the Compound lending protocol, the interest rate model determines both borrowing costs and capital returns.