TIA新高点燃DA层叙事,DA赛道还有哪些潜力项目?

Odaily星球日报Published on 2024-01-16Last updated on 2024-01-16

Abstract

坎昆升级预期下,模块化区块链概念被市场一致认为是2024年投资主旋律之一。

原文作者:Nancy,PANews

近期,随着 Celestia 价格持续走高,数据可用性(DA)层成为热门加密叙事。特别是以太坊坎昆即将升级预期下,模块化区块链概念备受关注,也被市场一致认为是 2024 年投资主旋律之一。本文 PANews 盘点了 7 个 DA 赛道的潜力项目,它们采取了不同类型的数据处理解决方案,在可拓展性、去中心化和安全性等方面各具优势。

Celestia(TIA)

Celestia 是第一个专注于数据可用性的模块化区块链项目,旨在通过提供可插拔的共识网络来简化区块链部署,让任何人都可以最小成本快速部署去中心化的区块链。Celestia 共完成了两轮融资,包括 Binance Labs 领投的 150 万美元种子轮融资,以及 Polychain 和 Bain Capital 领投的 5500 万美元 A/B 轮融资。

TIA 是 Celestia 的原生代币,用于 Gas 费用、节点质押和治理等用途,因 2023 年 9 月开启的创世空投备受关注。近期,包括模块化区块链项目 Dymension、layer 2 项目 Hypr Network 和 Cosmos 生态可扩展性协议 Saga 等均已有不少项目开始面向 Celestia 进行空投。Mintscan 数据显示,截至 1 月 16 日,Celestia 的总交易笔数超 984.9 万笔,质押原生 TIA 代币的 APR 达 16.07% 。

CoinGecko 数据显示,截至 1 月 16 日,TIA 的代币价格约为 18.85 美元,过去 30 天涨幅达 47.7% ,流通市值超 29.6 亿美元。

EigenDA(尚未发币)

EigenDA 是再质押协议 EigenLayer 开发的数据可用性中间件产品,旨在降低以太坊 Layer 2 Rollup 数据存储成本。EigenDA 也是首个在 EigenLayer 上启动的主动验证服务(AVS),再质押者将可将质押权委托给为 EigenDA 执行验证任务的节点运营商从而换取服务支付,且 Rollup 能够将数据发布到 EigenDA 以获得更低的交易成本以及更高的交易吞吐量和安全性。EigenLayer 也曾完成两轮融资,分别是 Polychain Capital 和 Ethereal Ventures 领投的 1450 万美元种子轮融资,以及 Blockchain Capital 领投的 5000 万美元 A 轮融资。

虽然 EigenLayer 尚未确认是否会发行代币,但市场对其空投预期非常高。而根据 EigenLayer 的早期规划,其将分为三个阶段启动。目前,EigenLayer 已启动 EigenLayer 和 EigenDA 第二阶段测试网并预计将于 2024 年上半年上线主网,第三阶段则将于 2024 年进入测试网和主网。

Avail(尚未发币)

Avail 是 Polygon Labs 于 2020 年年底启动的数据可用性层的模块化区块链解决方案,于去年 3 月分拆成独立实体,旨在通过采用轻客户端、数据可用性采样、纠删码和 KZG 承诺和纠删码等技术来实现更大的可扩展性并解决数据可用性信任问题。此前,Polygon 联合创始人 Anurag Arjun 和研究负责人 Prabal Banerjee 均在离职后加入了 Avail。

2023 年 11 月,Avail 宣布启动 Clash of Nodes 激励测试网,并预计将于 2024 年初推出主网。

NEAR DA(NEAR)

EAR DA 是 NEAR 基金会于 2023 年 11 月宣布推出的 DA 层解決方案,旨在帮助以太坊 rollup 构建者简化其网络并降低成本,在 NEAR DA 的数据发布成本比在以太坊上低 8000 倍,首批用户包括 StarkNet 的 Madara、Caldera、Fluent、Vistara、Dymension RollApps 和 Movement Labs。

CoinGecko 数据显示,截至 1 月 16 日,NEAR 的代币价格约为 3.24 美元,过去 30 天涨幅约 35.5% ,流通市值超 32.94 亿美元。

StarkEx(STRK,未上线)

StarkEx 是 StarkWare 团队研发的以太坊 Layer 2 扩容解决方案,且也提供多种数据可用性模式:Rollup、Validium 和 Volition。其中,Validium 作为 StarkEx 的链下 DA 方案,数据的安全性由数据可用委员会(DAC)来维护。

zkPorter(尚未发币)

zkPorter 是以太坊扩容方案 zkSync 推出的针对去中心化优化的链下数据可用性解决方案,通过结合 zkRollup 和分片思想的混合方法来处理数据可用性。zkPorter 引入了可选的验证器机制,由 zkSync 代币持有者质押代币后来验证和签署区块。虽然 zkPorter 的产品进展在很长时间里一直未向外界披露,但从 zkSync 上的 Layer 3 应用链 GRVT 计划在今年Q1上线主网,且该项目是在 zkPorter 上存储数据来看,zkPorter 被外界猜测或将在此之前启动。

Covalent EWM(CQT)

区块链数据查询服务平台 Covalent 可以标准化来自多个区块链的数据,其统一 API 允许开发者在支持的网络中重复使用查询,解决了区块链数据难以获取的问题。2023 年 11 月,Covalent 推出了长期资料可用性层服务 Ethereum Wayback Machine (EWM,以太坊回溯机),以永久保存被以太坊丢弃的 Layer 2 状态数据。截至 2023 年 12 月,Covalent 共支持 210 多条区块链,计划在 2024 年底时支持 1000 多条区块链。

而据不久前 Messari 发布 Covalent 数据可用性报告指出,Covalent 拥有数十亿条数据,是目前最适合为需要通用、广泛适用数据的应用提供服务。

CoinGecko 数据显示,截至 1 月 16 日,CQT 的代币价格约为 0.23 美元,过去 30 天涨幅约 9.9% ,流通市值超 1.47 亿美元。

Related Reads

NVIDIA CPU Advances, China's RISC-V Responds: Semiconductor Deep Dive - Part Four

NVIDIA is set to launch its new Vera AI data center CPU in China as early as August, with high pricing. While this move offers a new option, it highlights China's continued dependence on foreign-controlled Arm architecture. In response, the Chinese semiconductor industry is increasingly turning to RISC-V as a strategic alternative for achieving high-performance computing autonomy. The article explores the concept of the "impossible triangle" in CPU development—balancing prosperity, control, and autonomy—and posits that RISC-V's open-source, modular nature offers a unique path to achieving all three. While RISC-V is already dominant in embedded systems, the focus is now shifting to data centers and AI workloads. China has become a global hotspot for RISC-V development, driven by AI-driven compute demand, supply chain concerns from export controls, cost benefits of open-source, and strong policy support. Multiple Chinese companies have reportedly crossed the key performance threshold of 15 SPECint per GHz, a benchmark for entering the high-performance CPU club. Progress extends beyond single-core benchmarks. Companies are developing complete computing subsystems, including commercial-grade coherent network-on-chip (NoC) technology and server processors with up to 40 cores that strictly adhere to the RVA23 standard to ensure software compatibility. Real-world applications are emerging in areas like video transcoding and edge AI. However, significant challenges remain. The RISC-V ecosystem faces fragmentation, immature toolchains and verification processes, and gaps in single-core performance and energy efficiency compared to mature x86 and Arm architectures. The formidable software moat, epitomized by NVIDIA's CUDA, is a long-term hurdle. In conclusion, while RISC-V cannot immediately replace offerings like NVIDIA's Vera, it represents a viable long-term path for China to develop a self-sufficient, high-performance CPU ecosystem. The journey is acknowledged to be long and arduous, requiring sustained effort to overcome technical and ecosystem challenges.

marsbit3h ago

NVIDIA CPU Advances, China's RISC-V Responds: Semiconductor Deep Dive - Part Four

marsbit3h ago

My Coding Betting Dashboard is Profiting, but Polymarket is Truly Not a Good Place for 'Arbitrage'

The author built a custom monitoring dashboard for Polymarket, a prediction market platform, and tested it with $1,600, achieving over 30% returns. However, the core argument is that Polymarket is not a good venue for traditional arbitrage. The dashboard has two main sections: a "Portfolio Dashboard" for tracking active positions with key metrics like total capital, P&L, and a risk-control module using a tier system (T1, T2, T3), and an "Opportunity Watchlist" for monitoring markets. The article details a critical structural trap in binary markets: a bet with a high perceived probability of success still carries a 100% loss risk if wrong. The author's T1/T2/T3 system is designed to manage this by limiting position sizes based on conviction and time horizon, emphasizing that high confidence should not equal high concentration. A key insight is the danger of "pseudo-diversification"—betting on different markets driven by the same underlying variable. The author concludes that Polymarket offers few true low-risk, arbitrage opportunities. It is instead a high-risk environment where wins can create a false sense of mastery, leading to large losses. The platform is better viewed as a training ground for honing judgment through disciplined, framework-driven betting rather than a reliable income source. The tools help transform intuition into structured, rule-based decisions to mitigate the risk of catastrophic errors.

marsbit6h ago

My Coding Betting Dashboard is Profiting, but Polymarket is Truly Not a Good Place for 'Arbitrage'

marsbit6h ago

WeChat AI Card Hands-On Guide: Has the AI Shopping Era Arrived?

**"WeChat AI Card" Practical Test Guide: Has the Era of AI Shopping Arrived?** WeChat has officially launched the "AI Exclusive Card," a feature integrated into its Workbuddy AI assistant. This card is designed to handle payments for AI-initiated purchases. Our hands-on test reveals it's not yet a tool for fully autonomous AI shopping, but rather a controlled payment layer for AI agents. The AI Card functions as an isolated sub-wallet within WeChat Pay. Users must bind the card and transfer funds into it from their main wallet. Crucially, every transaction requires explicit user confirmation via smartphone scan; AI cannot spend autonomously. Currently accessible through the Workbuddy agent, the card targets specific digital consumption scenarios: purchasing paid content (reports, data), calling paid APIs/tools, and subscribing to services. Its design prioritizes security and control by separating funds and mandating approval for each payment. We tested a real-world scenario: ordering bubble tea via Workbuddy using a "Meituan Life Assistant" skill. The process encountered multiple hurdles: high "skill" usage costs (exceeding daily free credits), and most importantly, while a payment was successfully initiated, the AI purchased an incorrect product (a mismatched group-buy coupon instead of the desired drink). This highlights the current limitation: the **AI Card only solves the payment step**. The broader challenge lies in the **AI agent's execution chain**—accurately understanding intent, navigating third-party platforms, selecting the right product, and ensuring proper fulfillment. The payment succeeded, but the purchase failed to meet the user's need. In conclusion, the WeChat AI Exclusive Card is a cautious, early-step experiment in AI commerce. It provides a secure, user-controlled payment method for agent interactions but is not yet capable of reliable, end-to-end complex purchases. For now, it's best used for low-value, low-risk digital services with careful user verification at each step. The vision of AI handling complete shopping tasks remains a work in progress.

marsbit9h ago

WeChat AI Card Hands-On Guide: Has the AI Shopping Era Arrived?

marsbit9h ago

Trading

Spot
Futures
活动图片