从200万月活到归零:Zapper死于DeFi的「成熟」

marsbitPublished on 2026-07-10Last updated on 2026-07-10

Abstract

2026年7月8日,曾为DeFi明星项目的Zapper宣布将于8月3日全面关停。该项目巅峰时期月活用户超200万,累计处理交易额超130亿美元,并获1650万美元融资。 Zapper诞生于2020年,其前身DeFiZap在黑客松获胜。借助“DeFi Summer”的浪潮和用户对统一资产仪表盘的需求,Zapper凭借“Zap”一键操作等核心功能迅速增长。 然而,其商业模式面临根本挑战:主要收入来自竞争激烈、费率空间被压缩的DEX聚合交易,同时维护多链数据索引的成本高昂。更重要的是,DeFi生态演变导致资金向头部协议集中,用户对复杂操作工具的需求减弱,Zapper的核心护城河因此失效。 Zapper曾尝试转型,如推出积分NFT、链上社交应用Chainchat及计划发行代币,但均未成功。其战略重心始终放在高成本的2C工具上,而非能产生可持续收入的业务,未能及时适应市场变化。 相比之下,竞品如DeBank通过收缩业务线和拥有Rabby Wallet等创收产品得以维持。Zapper的失败为行业敲响警钟:在快速变化的市场中,过度沉浸于区块链原教旨主义而忽视实际商业环境和用户需求转变是致命的,工具类产品必须持续探索可行的收入模式并灵活调整战略。

原文作者:Eric,Foresight News

2026 年 7 月 8 日,Zapper 联合创始人 Seb Audet 在 X 上发了一条简短的公告:这个平台将在 8 月 3 日全面关停,官网、移动应用、API 服务全部下线。

去年 11 月,DappRadar 关停的消息引得无数币圈老人唏嘘。如今,一个曾经拥有 200 万月活用户、累计处理超 130 亿美元交易、融资总额达 1650 万美元的明星项目,也走到了山穷水尽的一步。

2019 年,Zapper 的前身 DeFiZap 在 Kyber 主办的 DeFi 黑客松上获胜。当时的 DeFi 还处在幼年期,整个赛道的 TVL 仅有约 6.67 亿美元。2020 年 5 月,DeFiZap 与 DeFiSnap 合并,Zapper 正式诞生。用 Seb 的话说,当时的他正在探索 DeFi,Zapper 的诞生最初只是自己想要开发一个简单的投资组合追踪器,从未想过它会扩大到如此规模。

2020 年 6 月,Compound 推出 COMP 代币,开启了那场改变行业格局的「DeFi Summer」。三个月内,DeFi 的 TVL 从约 7 亿美元飙升至 130 亿美元以上,散户蜂拥而入 yield farming。在那个资金散落在各个协议的时代, 用一个统一的仪表盘来查看仓位的需求应运而生,连接钱包后就能实时监控跨协议的持仓、LP 和收益的 Zapper 顺理成章地在圈内传开。

DeFi 的红利让 Zapper 迅速起量。2020 年初,它完成了 150 万美元的种子轮融资,Framework Ventures、ParaFi Capital 等机构入局。2021 年 5 月,正值市场最狂热的时候,Zapper 完成了 1500 万美元的 A 轮融资,Framework Ventures 继续领投,Mark Cuban、Ashton Kutcher 旗下的 Sound Ventures、Coinbase Ventures 等知名投资方纷纷跟投。

巅峰时期,Zapper 覆盖 14 条链、450 多个 DeFi 协议、7000 多种代币,月活用户突破 200 万,累计交易额超过 130 亿美元。其「Zap」功能允许用户通过单笔交易完成复杂的多步骤 DeFi 操作,一度是产品最核心的差异化卖点。

但问题在于,流量并没有转化为可持续的收入。Zapper 的盈利模式主要依靠 DEX 聚合交易中抽取少量手续费,而聚合器赛道的竞争极其惨烈,费率空间被不断压缩。与此同时,维护一个覆盖多链、数百个协议的数据索引和实时更新系统,需要持续投入大量工程资源和基础设施成本。

另一方面,DeFi 虽然仍然在发展,但方向却不是多样化,而是资金与流量向头部协议聚集。在经历了 2022 年短暂的低谷后,DeFi 在最近几年仍在大步向前迈进,但由于缺少诱人的收益率与空投预期,用户数量并没有上升。Zapper 的功能更偏向 2C,使用的人变少了,DeFi 不需要复杂的操作了,DEX 聚合器竞争又过于激烈。在那个时间点,Zapper 最强的护城河背后的需求明显减弱了

Zapper 并非没有意识到纯工具产品的天花板。它先后进行了多轮转型尝试,但无一成功。2021 年 9 月,Zapper 推出了基于链上交互行为的积分体系,用户通过签到、跨链、交易等行为积累积分并兑换 NFT,超过 10 万个地址参与了铸造。根据 OpenSea 数据,该 NFT 系列累计交易量超过 1200 ETH,按当时价格约价值 500 万美元。但随着时间推移,该 NFT 系列价格最终完全归零,积分体系也未再延续。

2023 年 10 月,Zapper 推出了链上社交应用 Chainchat,用户需要购买频道「股份」才能加入群聊。随后推出的 V2 版本将产品重新定位为「Web3 探索工具」,试图将活动范围从 DeFi 扩展至 NFT、DAO 和链上账户。2024 年 6 月,Zapper 又宣布推出 Zapper Protocol,计划发行 ZAP 代币,目标是构建一个开放协议来激励用户解读和诠释链上信息。

然而这些尝试最终都未能扭转命运。ZAP 代币从未正式发行,协议计划随着市场走熊而被搁置,Chainchat 也悄无声息地淡出了用户视野

很多在 2019 年、2020 年诞生的工具类产品纷纷在近两年迎来了终章。这些产品「各有各的死法」,DappRadar 就是被时代抛弃的典型,当所有资源都在向头部协议靠拢,没有百花齐放的环境,任你收录的项目再全面也没有用。

Zapper 虽然也受到了赛道变化的影响,但更多是自身转型的战略失误。

投资组合追踪器并不是一个门槛很高的产品,但其背后的数据成本却是一项硬性支出。在没有办法对这个服务本身进行收费的基础上,必须有一个与之强相关的能产生收益的产品。DEX 聚合器以及可以一键进行多步操作的「Zap」功能本身就是存在硬性需求的选择,但 Zapper 似乎并没有把重点放在能产生收益的产品,而是把更多精力放在了成本部门

用投资组合追踪功能为能产生收益的功能进行引流在早期能说得通,但随着用户资金逐步集中在少数协议,以及包括 DeBank 在内竞品的增加,Zapper 并未及时转变思路。从之后的尝试能明显看出,Zapper 并没有跳脱出 2C 的思路,始终在用区块链思维做 C 端产品的「死胡同」里打转

这些 2C 的产品听起来叙事很宏大,但都没有瞄准已有的痛点,而是想凭空创造需求。能在错误的方向上坚持数年,也从侧面体现出当年 DeFi 的红利有多大。从 Seb 在告别信写到的「评估了多种方案,并对其中一些方案进行了充分的尝试,最终意识到有序结束运营才是最佳选择」能看出,即使是引以为傲的投资组合追踪,在当下的市场中也无人接手,哪怕是将这部分转向 Nansen 或者 Arkham 的方向,最终也或许能落个被收购的中性结局。

刚刚提到的 DeBank,在资产追踪这一块也做了收缩,砍掉了对一些低活跃度链的支持。但 DeBank 有 Rabby Wallet 这样的拳头产品,加上两倍于 Zapper 的融资额,手中的筹码比 Zapper 更多,收入也更加稳定。如果你去翻看 X 上对 Rabby Wallet 的评价,会发现在 EVM 兼容链领域,很多人会认为 Rabby Wallet 的体验和功能性好于 MetaMask。

在笔者看来,Zapper 的离场并非完全因为「无脑」,更多的是对区块链原教旨主义的过分笃信。在商业的博弈中,过分沉浸在自己的世界中而不顾市场客观环境的转变是致命的,Zapper 为仍然活在市场中的工具类产品敲响了警钟:DappRadar 因自身赛道限制无法拓宽收入渠道,但如果有转型的机会,就不要抱着功劳簿不放。

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Related Questions

QZapper关停的主要原因是什么?

AZapper关停的主要原因包括:核心2C业务(如投资组合追踪和‘Zap’功能)的需求随DeFi市场成熟而减弱;盈利模式单一且不可持续,主要依赖竞争激烈的DEX聚合交易手续费;高额的数据索引和维护成本;以及多次战略转型尝试(如积分体系、Chainchat、Zapper Protocol)均未成功,未能跳出2C思维创造可持续收入。

QZapper在巅峰时期有哪些关键数据?

A在巅峰时期,Zapper覆盖14条区块链、450多个DeFi协议和7000多种代币;月活跃用户突破200万;累计处理的交易额超过130亿美元;并完成了总计1650万美元的融资(150万美元种子轮和1500万美元A轮融资)。

QZapper的‘Zap’功能是什么?它为何曾是核心卖点?

AZapper的‘Zap’功能允许用户通过单笔交易即可完成复杂的多步骤DeFi操作(如提供流动性)。在DeFi Summer期间,资金分散在各个协议中,用户对简化操作的需求强烈,因此该功能成为Zapper差异化的核心卖点,大大降低了DeFi的使用门槛。

Q文章中提到Zapper的转型尝试有哪些?为什么它们都失败了?

AZapper的转型尝试包括:1. 2021年推出基于链上行为的积分和NFT体系,但热度未能持续;2. 2023年推出链上社交应用Chainchat,后定位为‘Web3探索工具’,但未能吸引用户;3. 2024年计划推出Zapper Protocol和ZAP代币,但随市场转熊被搁置。失败原因在于这些尝试均未瞄准市场真实痛点,而是试图用区块链原教旨主义思维凭空创造C端需求,脱离了DeFi市场资金向头部协议聚集、用户操作简化的客观趋势。

Q与Zapper相比,为什么DeBank在相似的市场环境中能更好地生存?

ADeBank能更好生存的关键在于:1. 拥有Rabby Wallet这样的拳头产品,在EVM兼容链领域用户体验和功能性受到好评,创造了更稳定的收入来源;2. 融资额是Zapper的两倍,资金更充裕;3. 采取了更务实的收缩策略,例如砍掉对低活跃度链的支持以控制成本,而非盲目扩展叙事。这使其在面对市场变化时更具韧性和调整能力。

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What is $S$

What is AGENT S

Agent S: The Future of Autonomous Interaction in Web3 Introduction In the ever-evolving landscape of Web3 and cryptocurrency, innovations are constantly redefining how individuals interact with digital platforms. One such pioneering project, Agent S, promises to revolutionise human-computer interaction through its open agentic framework. By paving the way for autonomous interactions, Agent S aims to simplify complex tasks, offering transformative applications in artificial intelligence (AI). This detailed exploration will delve into the project's intricacies, its unique features, and the implications for the cryptocurrency domain. What is Agent S? Agent S stands as a groundbreaking open agentic framework, specifically designed to tackle three fundamental challenges in the automation of computer tasks: Acquiring Domain-Specific Knowledge: The framework intelligently learns from various external knowledge sources and internal experiences. This dual approach empowers it to build a rich repository of domain-specific knowledge, enhancing its performance in task execution. Planning Over Long Task Horizons: Agent S employs experience-augmented hierarchical planning, a strategic approach that facilitates efficient breakdown and execution of intricate tasks. This feature significantly enhances its ability to manage multiple subtasks efficiently and effectively. Handling Dynamic, Non-Uniform Interfaces: The project introduces the Agent-Computer Interface (ACI), an innovative solution that enhances the interaction between agents and users. Utilizing Multimodal Large Language Models (MLLMs), Agent S can navigate and manipulate diverse graphical user interfaces seamlessly. Through these pioneering features, Agent S provides a robust framework that addresses the complexities involved in automating human interaction with machines, setting the stage for myriad applications in AI and beyond. Who is the Creator of Agent S? While the concept of Agent S is fundamentally innovative, specific information about its creator remains elusive. The creator is currently unknown, which highlights either the nascent stage of the project or the strategic choice to keep founding members under wraps. Regardless of anonymity, the focus remains on the framework's capabilities and potential. Who are the Investors of Agent S? As Agent S is relatively new in the cryptographic ecosystem, detailed information regarding its investors and financial backers is not explicitly documented. The lack of publicly available insights into the investment foundations or organisations supporting the project raises questions about its funding structure and development roadmap. Understanding the backing is crucial for gauging the project's sustainability and potential market impact. How Does Agent S Work? At the core of Agent S lies cutting-edge technology that enables it to function effectively in diverse settings. Its operational model is built around several key features: Human-like Computer Interaction: The framework offers advanced AI planning, striving to make interactions with computers more intuitive. By mimicking human behaviour in tasks execution, it promises to elevate user experiences. Narrative Memory: Employed to leverage high-level experiences, Agent S utilises narrative memory to keep track of task histories, thereby enhancing its decision-making processes. Episodic Memory: This feature provides users with step-by-step guidance, allowing the framework to offer contextual support as tasks unfold. Support for OpenACI: With the ability to run locally, Agent S allows users to maintain control over their interactions and workflows, aligning with the decentralised ethos of Web3. Easy Integration with External APIs: Its versatility and compatibility with various AI platforms ensure that Agent S can fit seamlessly into existing technological ecosystems, making it an appealing choice for developers and organisations. These functionalities collectively contribute to Agent S's unique position within the crypto space, as it automates complex, multi-step tasks with minimal human intervention. As the project evolves, its potential applications in Web3 could redefine how digital interactions unfold. Timeline of Agent S The development and milestones of Agent S can be encapsulated in a timeline that highlights its significant events: September 27, 2024: The concept of Agent S was launched in a comprehensive research paper titled “An Open Agentic Framework that Uses Computers Like a Human,” showcasing the groundwork for the project. October 10, 2024: The research paper was made publicly available on arXiv, offering an in-depth exploration of the framework and its performance evaluation based on the OSWorld benchmark. October 12, 2024: A video presentation was released, providing a visual insight into the capabilities and features of Agent S, further engaging potential users and investors. These markers in the timeline not only illustrate the progress of Agent S but also indicate its commitment to transparency and community engagement. Key Points About Agent S As the Agent S framework continues to evolve, several key attributes stand out, underscoring its innovative nature and potential: Innovative Framework: Designed to provide an intuitive use of computers akin to human interaction, Agent S brings a novel approach to task automation. Autonomous Interaction: The ability to interact autonomously with computers through GUI signifies a leap towards more intelligent and efficient computing solutions. Complex Task Automation: With its robust methodology, it can automate complex, multi-step tasks, making processes faster and less error-prone. Continuous Improvement: The learning mechanisms enable Agent S to improve from past experiences, continually enhancing its performance and efficacy. Versatility: Its adaptability across different operating environments like OSWorld and WindowsAgentArena ensures that it can serve a broad range of applications. As Agent S positions itself in the Web3 and crypto landscape, its potential to enhance interaction capabilities and automate processes signifies a significant advancement in AI technologies. Through its innovative framework, Agent S exemplifies the future of digital interactions, promising a more seamless and efficient experience for users across various industries. Conclusion Agent S represents a bold leap forward in the marriage of AI and Web3, with the capacity to redefine how we interact with technology. While still in its early stages, the possibilities for its application are vast and compelling. Through its comprehensive framework addressing critical challenges, Agent S aims to bring autonomous interactions to the forefront of the digital experience. As we move deeper into the realms of cryptocurrency and decentralisation, projects like Agent S will undoubtedly play a crucial role in shaping the future of technology and human-computer collaboration.

780 Total ViewsPublished 2025.01.14Updated 2025.01.14

What is AGENT S

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