跨链桥主动求变，LI.FI用意图架构成为TradFi机构流动性中枢

marsbitPublished on 2026-06-03Last updated on 2026-06-03

原创|Odaily星球日报(@OdailyChina)

作者|Wenser(@wenser 2010 )

当 TradFi 成为加密行业的必选项,没有项目能置身事外。只不过,有的人选择从资产种类入手,而有的项目则盯上了资产背后的各类公司和机构。

上个月,跨链桥协议 LI.FI 官方高调宣布推出基于意图的执行架构 LI.FI Intents。该产品将作为提供稳定币支付、RWA 和合规链上流动性的底层执行层,面向金融科技公司、新银行、钱包及受监管的金融机构提供服务。

在稳定币支付、RWA 资产和合规资产逐步与链上生态合流的当下,Li.Fi 不再甘心只做一个“流动性传输协议”,而是主动寻求在新资产、新客户、新操作系统等层面寻求突破和角色升级。

当行业流动性紧缩时,跨链桥协议主动求变

据 DefiLlama 数据,近 30 天跨链桥聚合交易量约为 19.2 亿美元,近一周交易量下降约 1.81%。自去年 10 月交易量达到 29.74 亿美元的高点以来,跨链桥月交易量呈缓慢下跌态势,5 月交易量下降至约 19 亿美元,相较高点数据跌幅接近 34%。

另外一边,加密大盘整体处于震荡下行态势,BTC 现货交易量较去年高点已下跌达 81%;场内流动性由此进一步紧缩。

面对这一情况,身为跨链桥协议的 Li.Fi 并未如同大多数加密项目那样坐以待毙,而是积极探索新业务,寻求新的应用场景和服务对象以确保自身长期发展。

去年 12 月,LI.FI 宣布完成 2900 万美元融资,由 Multicoin 和 CoinFund 领投,该轮融资也将其融资总额抬升至 5200 万美元。彼时,该项目称,计划利用这笔最新资金将旗下业务拓展到不同的交易领域,包括永续期货、收益机会、预测市场和借贷市场。

充足的资金给了 Li.Fi 足够的信心,在保证业务基本盘的同时去探索和构建新产品。

今年 4 月,LI.FI 宣布推出新产品 LI.FI Earn,面向有数字资产战略的企业提供链上收益功能,支持通过单一集成接入逾 20 个金库协议的策略,并内置跨 60 余条链的跨链执行能力。

5 月,意图执行架构 LI.FI Intents 发布,标志着 Li.Fi 正式切入企业服务端,并将稳定币支付、RWA 资产及合规流动性的底层操作能力赋予一众 B 端客户。

在 TradFi 资产与加密资产合流的当下,从操作执行层去降低用户的使用门槛、提高流动性运转效率、打通代币化资产兑换渠道,这就是 Li.Fi 升级迭代的新方向。相较于局限于加密市场的跨链协议,面向全球金融科技公司、新银行、钱包及受监管的金融机构提供金融服务,无疑是天花板更高的现金牛业务。

从使用体验而言,Li.Fi Intents 相当于为用户提供了一个更为简便的执行方案,拿来即用。据悉,其主要通过求解器网络提供做市商级的执行,支持在无需用户管理 Gas 代币或处理复杂区块链底层步骤的情况下,实现 USDC 与 USDT 等稳定币之间的精确输出跨链兑换。同时,该架构支持应用通过统一接口集成多个代币化资产发行方。

从使用门槛来看,目前 LI.FI Intents 已在 Jumper 和 Rabby 等应用及钱包上线;且借助 LI.FI Intents,企业用户无需与任何钱包进行交互,这将大大降低企业在转账支付、资产转移等方面的理解门槛,并减少了诸多繁琐的操作步骤。

从合规来说, LI.FI Intents 所构建的网络由验证过的合法实体组成,企业能够在交易处理系统处理订单之前逐一审核并批准对应订单,精确选择自己信赖的交易处理系统,以此确保订单在合规审批体系内流转。所有与该系统进行交互的钱包都会接受美国 OFAC(美国财政部海外资产控制办公室)的审查,可以说是打上了最后一道“合规保险”。

从生态而言, LI.FI Intents 覆盖了主流的区块链网络,包括 EVM 生态、Solana 网络及波场 Tron 网络,在生态易用性与广泛覆盖方面做到了一定适配,避免发生高度依赖单一区块链网络产生的潜在安全风险或单点瘫痪问题。

结语:意图执行背后的高效自动化服务

如果说美股代币化、RWA 资产解决了资产种类更新和传统金融进入门槛的问题,那么 Li.Fi Intents 瞄准的,就是如何将稳定币支付、RWA 资产、合规链上流动性以更好、更快的方式引入企业用户的生态系统内,提高其运营效率与资金利用率。

更重要的是,Li.Fi Intens 系统是服务于意图执行的,如同智能驾驶中的目的地导航一样,企业用户只需设定目标,中间的执行步骤全部外包交由系统处理即可。

在资产种类极度丰富的今天,高效操作的价值将被进一步放大,而 Li.Fi 已经迈出了最关键的那一步。

Related Questions

QWhat is LI.FI Intents and what core services does it aim to provide?

ALI.FI Intents is an intent-based execution architecture recently launched by the cross-chain bridge protocol LI.FI. It aims to serve as an underlying execution layer providing stablecoin payments, RWA (Real World Assets) and compliant on-chain liquidity. Its primary target clients are fintech companies, neobanks, wallets, and regulated financial institutions.

QWhy has LI.FI decided to expand its business focus and what new areas is it exploring?

ALI.FI is expanding its business due to a decline in cross-chain bridge transaction volumes and a contraction in overall crypto market liquidity. Its exploration into new areas is supported by its recent $29 million funding round. The company is moving beyond being a 'liquidity transport protocol' to explore new assets, clients, and operating systems, including areas like perpetual futures, yield opportunities, prediction markets, and lending markets.

QHow does LI.FI Intents improve the user experience and lower barriers to entry for enterprises?

ALI.FI Intents provides a simplified, 'plug-and-play' execution solution. It enables precise cross-chain swaps for assets like USDC and USDT without requiring users to manage gas tokens or handle complex blockchain steps. Furthermore, it allows enterprise integration with multiple tokenized asset issuers through a unified API. Crucially, enterprise users can interact with the system without directly interfacing with a wallet, significantly lowering the technical and operational barriers for corporate adoption.

QWhat measures does LI.FI Intents implement to ensure compliance for its institutional users?

ALI.FI Intents incorporates several compliance measures. Its network consists of verified, legitimate entities. Enterprises can review and approve each order individually before it is processed by a transaction processing system (TPS), allowing them to choose which TPS they trust. Additionally, all wallets interacting with the system are screened for compliance with the US Office of Foreign Assets Control (OFAC) sanctions list, adding a significant layer of regulatory safety.

QHow is the 'intent-based' architecture of LI.FI Intents analogous to a familiar technology, and what benefit does this provide?

AThe article compares the LI.FI Intents system to destination navigation in autonomous driving. In this model, an enterprise user only needs to set a financial goal or 'intent' (e.g., execute a specific cross-chain payment). The entire complex execution process—finding the best route, managing gas, interacting with different blockchains—is then handled automatically by the system. This provides the core benefit of operational efficiency and frees users from managing intricate technical details.

Related Reads

As Consensus Accelerates, What Are Young Investors Betting On?

Title: As Consensus Forms Faster, What Are Young Investors Betting On? In the rapid evolution of tech investment, a new generation of young investors is navigating a landscape where AI, robotics, commercial aerospace, and quantum computing are advancing simultaneously. Traditional investment logic based on financial models is giving way to a need for deep technical understanding and the ability to act before industry consensus forms. An analysis of trends from the "WAIC FUTURE TECH" list of young investment leaders reveals key shifts in focus. The first major trend is the movement of AI from the digital screen into the physical world. Investment is shifting from large language models and chatbots towards embodied AI, robotics, AI hardware, and edge computing. While demonstrations generate excitement, the real challenge lies in achieving scalable, reliable, and cost-effective delivery in complex real-world environments like factories and logistics. Success depends not just on algorithms but on the integration of sensors, actuators, and control systems. Second, the competitive focus for large models is moving beyond raw capability toward building an "intelligence flywheel." The goal is to create self-reinforcing systems where user interaction generates data, improving the model, which in turn enhances the user experience and attracts more engagement. Companies that successfully embed AI into workflows to create these closed-loop systems can build lasting value that isn't easily erased by the next model upgrade. Third, facing a potential bottleneck in high-quality human-generated data, investors are looking at new underlying technologies. Reinforcement learning and self-play, as demonstrated by AlphaGo Zero, offer paths for AI to generate its own experience. Scientific foundation models, which aim to build general AI capabilities for fields like life sciences and materials discovery, represent a non-consensus direction that could unlock new frontiers of knowledge and data. Finally, in deep-tech areas like quantum computing, commercial aerospace, and space-based infrastructure, patient capital is essential. These fields have long, uncertain development and validation cycles involving complex engineering, supply chains, and regulations. Investment here requires a long-term view, focusing on foundational team capabilities and the eventual emergence of market demand, even if commercial returns are distant. Collectively, these trends illustrate how young investors are adapting to a new era. They are learning to make earlier, technically-informed judgments, balance hype with real-world viability, and provide the patient capital needed to build the deep-tech foundations of the future.

marsbit17m ago

As Consensus Accelerates, What Are Young Investors Betting On?

marsbit17m ago

Unlocking $100 Million in Liquidity? Pump.fun's New Policy Tests the 5-Minute Pump Technique

Foresight News, July 21 – Pump.fun has launched its new "BOOST" mode as the standard launch mechanism for new tokens. The core of BOOST is to address the issue of "dead liquidity." Historically, when a token migrates from its bonding curve to a liquidity pool, roughly 20% of its liquidity becomes permanently locked and unusable, a problem the platform estimates costs over $100 million annually. The new mechanism redirects this 20% of funds, which would have been locked, to instead be used for a 5-minute Time-Weighted Average Price (TWAP) buyback of the token immediately after migration. The purchased tokens are then permanently burned. For example, this means reserving 17.6 SOL for SOL pairs or about $2516 for USDC pairs at migration. This creates a short-term buying pressure and reduces the token's supply. The goal is to improve the immediate post-launch performance of memecoins, potentially increasing trader retention and transaction volume on the platform. However, critics warn this could lower the bar for token launches, encouraging low-quality projects, and that the brief 5-minute buy pressure might lead to sharper price crashes once it ends if followed by large sell-offs.

Foresight News26m ago

Unlocking $100 Million in Liquidity? Pump.fun's New Policy Tests the 5-Minute Pump Technique

Foresight News26m ago

What Signals Can Be Read from the Trading Data of India's Largest Asset Manager SBI's IPO?

India's largest asset manager, SBI Funds Management, successfully listed on July 21 with a nearly $10 billion IPO, attracting approximately 42 times subscription. However, the first-day closing price rose only about 6.3%, falling short of the 16% premium anticipated in the grey market. This signals robust demand for core Indian financial assets but also disciplined pricing, indicating the IPO market is selectively open for strong brands with clear growth narratives. The low reported underwriting fees, which led some global banks to reduce participation, highlight a shift in pricing power towards powerful issuers like SBI. Its strong brand, banking parent, and stable cash flows reduced reliance on traditional investment banking sales channels, with local brokers playing a larger role. This fee dynamic may not be replicable for weaker issuers. SBI's performance is seen as a key test for India's IPO pipeline, including potential future large listings like Reliance Jio and NSE. Its success with tempered gains sets a new price anchor: high-quality assets can launch, but excessive valuation premiums are constrained. The true measure of a sustained market reopening will be whether subsequent major offerings can proceed smoothly at reasonable valuations.

marsbit45m ago

What Signals Can Be Read from the Trading Data of India's Largest Asset Manager SBI's IPO?

marsbit45m ago

Can Japan Buy Growth with AI? Will the Bond Market Believe It?

Japan's cabinet has introduced the 2026 Basic Policy on Economic and Fiscal Management and Reform, shifting its primary fiscal target. The new framework moves away from the traditional annual primary balance goal and instead prioritizes a stable reduction of the debt-to-GDP ratio. This change is tied to a strategy of increased "responsible proactive fiscal" spending, aiming to boost long-term growth through investments in strategic sectors like AI, semiconductors, energy, and robotics. The government estimates total public and private investment in 62 key technologies could exceed 370 trillion yen by 2040. The market reaction has been mixed and cautious. While equity markets may respond to policy signals, bond markets are focused on fiscal credibility. Concerns center on whether the weakening of the clear primary balance anchor could lead to looser fiscal discipline. If investors doubt that these strategic investments will generate sufficient productivity gains, tax revenue, and nominal growth to outpace rising interest costs, they may demand higher yields on Japanese Government Bonds (JGBs). Recent volatility in the yen and JGB yields, with the 10-year yield briefly reaching 2.9%, reflects this skepticism. The success of this new framework hinges on two factors: whether Japan can achieve a nominal growth rate consistently higher than its long-term interest rates, and whether future budgets demonstrate disciplined control over bond issuance. The government's narrative is that strategic investment is essential to break Japan's cycle of low growth, aging, and labor shortages. However, the bond market will continuously assess the credibility of this plan, pricing the risk that it may represent fiscal expansion rather than a viable growth strategy.

marsbit54m ago

Can Japan Buy Growth with AI? Will the Bond Market Believe It?

marsbit54m ago

Misjudged A-Shares: Resilience, Expectations, and Confidence

China's A-share market recently faced selling pressure, especially in tech sectors, initially triggered by a global tech sell-off that began in South Korea. However, the article argues this is a case of "mistaken injury" and highlights the market's underlying resilience. This resilience stems from three main pillars: **1) Tech Sector Fundamentals:** Unlike Korea's market dominated by a few memory chip stocks, China's tech sector is diversified across computing, communications, electronics, and semiconductors, supported by dual narratives of global AI supply chains and domestic substitution. Core areas like optical modules and fiber optics continue to show strong earnings growth. **2) "National Team" Support:** State-backed institutions and large corporations have made significant market purchases and announced buybacks, providing liquidity and signaling confidence. This is seen as a stabilizing policy signal, often associated with market bottoms. **3) Broader Market Pillars:** Other major sectors are showing endogenous recovery momentum. Consumer stocks benefit from stabilizing CPI and signs of sector recovery (e.g., liquor price hikes). Cyclical sectors like aluminum have high earnings, potential price increases due to tight supply, and low valuations. The financial sector offers stable dividends and low valuations. The conclusion is that the sell-off was driven by external contagion, not a collapse in fundamentals. With strong policy support and recovering momentum across key sectors, the A-share market possesses the toughness to regain stability.

marsbit1h ago

Misjudged A-Shares: Resilience, Expectations, and Confidence

marsbit1h ago

Trading

Spot
活动图片