Blockchain

The tokenomics of Conflux (CFX) is an incentive and resource allocation system designed around the operation of a high-performance blockchain. Through Gas fees, storage bonding, and node reward mechanisms, it supports the long-term operation of the entire network.

Conflux (CFX) is a public blockchain designed with high performance as a core goal. Its key innovation is that it breaks through the limits of traditional blockchains, where a single chain processes blocks sequentially. Unlike classic blockchains such as Bitcoin and Ethereum, Conflux uses a Tree-Graph structure to support the parallel generation of multiple blocks, improving system throughput and efficiency from the underlying architecture.

Conflux (CFX) is a high-performance public blockchain that uses a PoW mechanism. Its core innovation lies in using a Tree-Graph structure to process blocks and transactions in parallel, breaking through the performance bottleneck of the traditional blockchain model, where a single chain processes activity sequentially.

Tagger’s (TAG) tokenomics is, at its core, an economic system built around “data production and the circulation of data value.” Unlike traditional Web2 data platforms, Tagger brings data annotation, data trading, and data validation into a unified on-chain incentive system, turning data from a resource into an economic asset that can be priced and traded.

Tagger (TAG) is a blockchain-based decentralized data annotation network that uses crowdsourcing mechanisms, AI-assisted tools, and on-chain validation systems to produce and circulate high-quality data. As artificial intelligence drives explosive growth in demand for data, Tagger is being widely used in scenarios such as AI training data generation, data annotation, and data trading.

Tagger (TAG) is a Web3 infrastructure designed to build a decentralized AI data annotation and data trading network. By combining blockchain with crowdsourcing mechanisms, it integrates data collection, annotation, validation, and circulation into a unified process. As artificial intelligence drives explosive growth in demand for high-quality data, Tagger is being widely used in scenarios such as AI training data, data crowdsourcing, and data marketplaces.

AITECH Cloud Network’s revenue model mainly comes from AI compute leasing, Agent Forge service calls, enterprise infrastructure access, and the payment and settlement system built around the ACN token.

The ACN token is mainly used to pay for GPU compute power, AI services, Agent tasks, staking incentives, and ecosystem settlement within AITECH Cloud Network, while its deflationary mechanism affects token supply.

AITECH Cloud Network (ACN) is an AI compute network that combines high performance computing with blockchain. At its core, it uses a tokenized mechanism to connect compute resources with demand for AI services.

Aptos is a Layer 1 public blockchain developed by core members of Meta’s former Diem project, inheriting three years of technical work from Diem as well as the Move programming language. Its evolution centers on solving blockchain’s scalability challenge through Block-STM parallel execution, the separation of ledger history and state, and an innovative on chain configuration upgrade mechanism that enables smooth scaling without hard forks. From Diem’s permissioned chain concept to Aptos’ decentralized public blockchain, this journey marks a major leap in blockchain infrastructure from monolithic architecture to a high performance, highly upgradeable modular design.

Aptos and Sui are leading Layer 1 public blockchains developed using the Move programming language. While both projects trace their origins to Meta’s Diem initiative, they differ fundamentally in their underlying architectures. Aptos utilizes a traditional account-based model and leverages the Block-STM engine for optimistic parallel execution. In contrast, Sui introduces an innovative object-centric data model, enabling confirmation of non-shared objects without requiring consensus. Their primary distinctions are reflected in trade processing logic, the level of Move language customization, and storage resource management strategies—together advancing blockchain technology toward Internet-scale scalability.

Move is a secure smart contract language designed specifically for digital asset management. It was originally developed by Meta’s Diem team. Through its core concept of the Resource, Move ensures that on chain assets are unique, cannot be copied, and cannot be discarded arbitrarily. This prevents common security vulnerabilities such as reentrancy attacks and unlimited minting at the architectural level. By introducing linear logic and the built in Move Prover verification tool, the Move programming language provides financial grade security for high performance public chains such as Aptos and Sui.

Aptos is a Layer 1 proof of stake, PoS, blockchain built on the Move programming language. It is designed to achieve extremely high transaction throughput, security, and upgradeability through a parallel execution engine and modular design. As a technical continuation of Meta’s, formerly Facebook’s, Diem project, Aptos introduced the Block-STM mechanism, allowing the network to process large scale concurrent transactions without sacrificing decentralization. Today, Aptos is widely used across decentralized finance, DeFi, social applications, NFT ecosystems, and various forms of high performance Web3 infrastructure.

The use cases of House Party Protocol mainly center on verifiable AI, off chain computing, AI Agent execution, data verification, user identity, and intelligent asset analysis.

The HPP token is the core utility asset of the House Party Protocol network. It is mainly used for transaction fees, AI service access, node incentives, governance participation, and network security maintenance.