LinkLayerAI Litepaper#
Overview#
LinkLayerAI is a data assetization DataFi Protocol driven by various types of Agents and Agent SaaS. Different types of Agents provide intelligent services to meet diverse needs, while Agent SaaS offers standardized services to support multi-chain Web3 projects. These Agents and Agent SaaS will achieve Web data assetization through DeFi, while promoting data intelligence and value interoperability within the Web ecosystem.
To enhance the usability of the LLA protocol, LinkLayerAI incorporates a multi-dimensional product ecosystem, covering a wide range of business scenarios, including a Web data aggregation DApp, a Telegram Miniapp, an Agent SaaS platform, intelligent data Agents, Token contract Agents, and more. Based on the concepts of “Data as an Asset” and “Post to Earn,” these products enable multi-faceted data aggregation and the construction of user behavior data graphs. Ultimately, they allow data sets to be assetized on-chain in Web3 through Agent-driven mechanisms.
LinkLayerAI adopts an innovative digital rights and governance token economic system to balance the interests of various roles within the ecosystem at different stages. This model maximizes ecosystem activation and ensures sustainable development.This litepaper will elaborate on multiple aspects, including Agent SaaS, data aggregation, on-chain assetization, Tokens, intelligent data Agents, the Agent + DeFi business model, LinkLayerAI products, and economics.
Data Productivity in Web3 — Agent#
In Web3, the value of data lies not only in its generation but also in how it is effectively extracted and utilized. AI Agents, through intelligent data processing, can perform in-depth analysis of both on-chain and off-chain data, helping users make more precise investment decisions, identify potential arbitrage opportunities, and optimize asset management processes. They automate traditional data analysis, reducing operational complexity and enhancing efficiency, while providing users with real-time, actionable market insights. With these Agents, Web3 users can not only easily access and leverage data but also drive the development of the entire decentralized financial system through more efficient decision-making processes.
Using LLMs, Agents can fully leverage real-time on-chain data from Web3 infrastructure, maximizing their capabilities. This enables more accurate analysis and smarter decision-making, driving productivity and efficiency within the ecosystem and maximizes the overall efficiency and impact of Agents, turning them into powerful tools for Web3’s growth and innovation.
Based on the above logic, LinkLayerAI constructs a comprehensive protocol solution by combining Agent SaaS, Token Agent, and Smart Data Agent with smart contracts and DeFi.
AaaS of LinkLayerAI#
The LinkLayerAI Agent SaaS (AaaS) platform offers a comprehensive, AI-powered solution designed to help Web3 projects, investment institutions, KOLs, miners, and other ecosystem builders create customized intelligent agents. These agents are tailored to serve both external users and internal business processes, streamlining data workflows and enhancing interactions. By integrating essential project data such as whitepapers, technical documentation, economic models, and real-time on-chain data, the platform enables these agents to provide precise, context-aware responses and personalized experiences.
The platform supports multi-chain configurations, allowing builders to adapt agent functionalities and data sources to different blockchain requirements, making it ideal for cross-chain projects. Additionally, it seamlessly integrates with social platforms like Telegram, Discord, Slack, and WhatsApp, enabling projects to engage with users across multiple channels. The agents specialize in vertical functions, offering industry-specific knowledge and real-time support to drive efficient, project-related interactions. Through this streamlined, AI-powered solution, Web3 builders can easily create agents to improve customer engagement, internal workflows, education, support, and marketing, ultimately contributing to the sustainable growth of the decentralized ecosystem.
The detailed content can be found through the document link below.
https://www.linklayer.ai/docs/newnavigation/Agent as a Service/Agent SaaS-AaaS.html
Web3 Contract Agent#
LinkLayerAI’s Token Contract Agent is an AI-driven tool designed for real-time on-chain token data analysis. Using intelligent workflows and large language model (LLM) technology, the Token Contract Agent continuously tracks key token metrics such as liquidity and trading volume, helping users identify market opportunities and make quick decisions. Users can customize trigger conditions to automatically receive alerts for key events, enhancing decision-making efficiency.
In addition, the Token Contract Agent provides intelligent recommendations based on the analysis of “smart money” wallet addresses. Users can input specific wallet addresses to obtain related token dynamics and investment suggestions, helping to make more precise investment decisions. Whether for market monitoring or token governance, the Token Contract Agent provides intelligent support for Web3 token services.
The detailed content can be found through the document link below.
https://www.linklayer.ai/docs/newnavigation/Agent as a Service/Web3 Contract Agent.html
Next, the current state of Web data will be explored, analyzing the challenges and opportunities it faces in a decentralized environment. Following this, existing on-chain assetization solutions will be introduced, examining how Web data can be effectively transformed into tradable digital assets. Finally, the focus will shift to Smart Data Agent, detailing how it operates in this context by providing an innovative technical framework and practical use cases to help users realize the assetization and maximize the value of Web data.
Data Ecosystem Issues in the Web World#
Since the birth of the first webpage in 1991, the internet has evolved from Web 1.0 to Web 2.0, which introduced two-way communication and mobile internet. Web 3.0 focuses on user data ownership and cross-platform sharing, driving technologies like cryptocurrency and network security. However, data faces significant challenges in the current landscape:
1. Excessive Data Production and Redundancy#
The rapid expansion of the internet has led to an overwhelming amount of data generation, with users and organizations worldwide creating vast quantities of content daily. This explosive growth has resulted in data redundancy, as the same information is often stored multiple times across platforms without efficient organization or deduplication. This not only wastes storage resources but also adds unnecessary noise, making it harder for users to extract valuable insights from the data. The redundancy complicates data processing and reduces the overall usability and accuracy of the information available.
2. Weak Value Connection Due to Data Silos#
Data silos are a significant issue in the Web world, where data is isolated within different platforms and systems, hindering effective interoperability and sharing. Large internet companies often restrict access to their data, creating isolated pockets of information. Even when APIs are available, inconsistent data formats and lack of standardization complicate integration efforts. This fragmentation makes it difficult for enterprises, researchers, and developers to gain a comprehensive view of data, limiting their ability to derive value from cross-platform data and impeding data-driven decision-making and innovation.
3. Monopoly on Data Ownership and Rights#
Currently, data ownership is largely concentrated in the hands of a few major companies that control vast amounts of user data. While users enjoy free services, they unknowingly give up control over their personal information. This concentration of power over data raises concerns about user privacy, as well as security risks and ethical issues related to data misuse. The monopoly stifles market competition, making it difficult for smaller businesses and innovators to enter the market, and ultimately, it limits the diversity and health of the data ecosystem. Such control also undermines users’ ability to access or benefit from their own data.
By addressing these issues, we can unlock the full potential of data, fostering a more equitable and efficient data ecosystem.
Solutions for Data Aggregation and Assetization#
LinkLayerAI’s philosophy posits that each dimension containing data can be considered a “Layer.” When these data layers are linked, they generate unexpected value effects. By making these value-driven, modular data intelligent and easily callable through AI, the entire Web ecosystem will undergo a catalytic transformation, creating a positive feedback loop. Therefore, we propose and gradually implement the following ideas:
Multi-dimensional Aggregation of Web Data#
LinkLayerAI will use the LinkLayerID as a central identifier to establish a unique user identity in Web2, which will ultimately correspond to an on-chain ASBT in Web3, ensuring the consistency of data and asset rights.
The various products of LinkLayer will focus on aggregating multi-dimensional Web data, including:
Web1’s Early Social Products: Email
Web2’s Public Domain: Twitter, Reddit, TikTok, etc.
Web2’s Private Domain: Telegram, Discord, WhatsApp, etc.
Web3: Wallets, ENS, etc.
User Behavior Data Graphs: Including modular data on invitation relationships and invitees
By linking these multi-dimensional data sources, LinkLayerAI aims to create a comprehensive and cohesive data ecosystem, enhancing the value and utility of aggregated data while ensuring consistency and integrity in asset rights across different Web eras.
By linking data across the three dimensions of Web1, Web2 (public and private domains), and Web3, LinkLayerAI will elevate the value of personal data to its maximum potential. This integration will bridge Web2 public and private domain data with Web1 and Web3 data, enhancing both the horizontal and vertical dimensions of a single user’s identity data, making it more credible and multi-dimensional.
Smart Data Agent#
The Intelligent Data Agent addresses data analysis challenges in the Web3 ecosystem by aggregating user data across Web1, Web2, and Web3 (such as social media and crypto wallets) to provide intelligent user profiling. It streamlines data access, eliminating the complexity of traditional API calls, enabling projects to directly obtain precise user insights.
Furthermore, the Intelligent Data Agent drives data assetization, where projects pay with governance tokens to access user data, while users are rewarded based on their behavioral data contributions, creating an AI-driven data economy.
Core Functions
Multidimensional Data Aggregation : Integrates social interactions and on-chain transactions to build a 360° user profile.
Smart User Profiling : Analyzes behaviors, asset distribution, and interests to optimize product and marketing strategies.
AI Data Prediction : Identifies patterns and trends to predict user investment preferences and market movements.
Efficient Data Access : Provides intuitive, real-time data interaction, bypassing the complexity of traditional APIs.
Application Value
The Intelligent Data Agent enables Web3 projects to accurately analyze user behavior, optimize operations, and deliver more personalized experiences, while driving data value sharing and fostering a more equitable Web3 data ecosystem.
Agent+Defi Business Model#
Web3 represents a shift from centralized data control in Web2 to a decentralized ecosystem, where data is considered a valuable asset. However, while Web3 offers data sovereignty, its application remains limited mainly to decentralized finance (DeFi), focusing on financial activities rather than broader data usage. This limitation has led to liquidity concentration and volatility, which DeFi seeks to address by eliminating intermediaries and promoting decentralized financial systems.
Agents, powered by AI, are key to unlocking the full potential of Web3. These intelligent systems automate data processing, enhancing the efficiency of both on-chain and off-chain data. By analyzing blockchain transactions, liquidity flows, and smart contract interactions, Agents provide users with real-time insights, optimizing decision-making and driving productivity.
The convergence of Agents and DeFi creates a new, data-driven economic model. Agents enhance DeFi by automating processes such as asset trading, lending, and liquidity management, making these activities more efficient and accessible. Furthermore, Agents facilitate data assetization, where users can monetize their on-chain data through staking, trading, and authorization. This combination leads to smarter financial decisions, enhanced liquidity, and incentivized participation, all within a decentralized Web3 ecosystem.
User Agent DeFi Integration Builder Agent DeFi Integration
LinkLayerAI leverages this synergy, offering an Agent-powered platform that integrates with multiple blockchains to deliver intelligent automation, data insights, and tokenized incentives. By enabling seamless cross-chain operations and real-time data analysis, LinkLayerAI is reshaping Web3, making it more productive, accessible, and sustainable for users and projects alike.
Assetization of Web Data#
Once user data achieves multi-dimensional aggregation, it will ultimately lead to the user triggering the minting of an on-chain ASBT (Agent-Soulbound Token). This involves binding modular data with the ASBT, and the modular data will be written into the LLA protocol, which will offer multiple ways to be called, such as through APIs and Agents. Callers will pay token fees to access protocol data authorized by users, and the called users will receive 80% of the token dividends. This process facilitates the assetization of personal Web data in Web3.
By implementing this system, LinkLayerAI aims to enhance the value and utility of aggregated data while ensuring consistency and integrity in asset rights across different Web eras. This comprehensive approach will create a robust and valuable data ecosystem for users.
This process greatly enhances the usability and assetization of user data, while providing demand-side participants with more cost-effective and varied usage scenarios. It fosters the sustainable development of the entire ecosystem’s supply and demand relationship. Tokens will serve as a measure of the credible rights and interests of each participant within the ecosystem.
LinkLayerAI Product Features and Functions#
Agent SaaS Platform: This is an AI-powered Agent SaaS platform that enables Web3 projects to create intelligent agents for real-time user interaction, on-chain data integration, and community engagement, enhancing transparency, education, and marketing.
Token Contract Agent: It is an AI-powered Web3 intelligence tool that provides real-time on-chain data analysis, automated insights, and smart investment recommendations, helping users navigate token markets with precision and efficiency.
LinkLayerAI Dapp: Provides users with the ability to bind and aggregate multi-dimensional Web data, generating behavior data graphs based on Twitter around the Post to Earn mechanism.
LinkLayerAI Miniapp: An application featuring a variety of functions including robot blind boxes, an invitation mechanism, encrypted news, flash sale tasks, DAPP data bundling, and more. It will also serve as a crucial bridge between Telegram and the Dapp.
LinkLayerAI Bot: An intelligent Telegram-based bot that integrates push services, data query services, AI creation, and will continuously open multiple AI combination services.
By leveraging these products and features, LinkLayerAI aims to create a comprehensive ecosystem that enhances the value and usability of multi-dimensional Web data, fostering a dynamic and sustainable data-driven environment.
Token Economics#
LinkLayerAI Roles#
In the economic framework of the LinkLayerAI project, clearly defining ecosystem roles is crucial. Each role’s unique contributions are directly linked to their respective rights, which are reflected in the value of Tokens. This structure ensures a positive correlation between individual input and rewards, incentivizing active participation and fostering sustainable development and liquidity within the ecosystem.
◾Web User： By binding data and performing tasks through LinkLayerAI’s DAPP and Miniapp, users earn rights tokens, which ultimately correspond to the governance token LLA.
◾Agent User： By subscribing to LinkLayerAI’s Web3 Agent services via contracts, users receive corresponding rights certificates (LLAx), which ultimately correspond to the governance token LLA.
◾AaaS Customer： By subscribing to LinkLayerAI’s AaaS services via contracts, customers obtain corresponding rights certificates (LLAx), which ultimately correspond to the governance token LLA.
◾Protocol Staker： By staking the governance token LLA, participants receive a certain proportion of LLA inflation rewards.
◾Data Holder： By allowing the demand side to use Agents to call smart data, data holders receive 80% of the LLA Tokens paid.
◾Early Investors： By investing in LinkLayerAI, early investors gain early liquidity of LLA.
Introduction to LinkLayerAI’s Token#
To drive the development of LinkLayerAI’s diversified Agents and on-chain data tokenization, three different types of Tokens are used to stimulate the entire ecosystem:
✅ Governance Token LLA (to be issued on Binance Smart Chain), primarily used to measure the decentralized financial rights of different ecosystem roles.
LLA will be the governance token of the entire LinkLayerAI ecosystem. It will be used to build a distribution mechanism around the Agent + DeFi + data tokenization ecosystem. The total supply is confirmed to be 1 billion tokens, and further details will be announced before the TGE.
✅ Agent Rewards LLAx (to be issued on Binance Smart Chain),mainly used to measure the on-chain rights and interests of Agent Usecase users.
LLAx is the native incentive token of the LinkLayerAI Agent ecosystem, issued on BSC to measure and reward the on-chain rights of Agent Usecase users. Holding LLAx unlocks premium services, priority processing, and enhanced AI interactions. Users can earn rewards by contributing data, using AI services, and engaging in the ecosystem, driving a smarter Web3 experience.
✅ Data Token XL (issued on a Gas-free EVM chain), mainly used to measure on-chain rights related to users’ web data.
XL is the data token of LinkLayerAI. 6200000000 XL can be earned by users through linking different Web accounts, with the amount gradually decreasing as the number of linked users increases. XL is also a crucial part of the LinkLayerAI ecosystem,roles related to tokenizing all web data include owners, providers, and demanders, among others. XL is used to quantify their value in the ecosystem.
✅ Equity Token L (issued on a Gas-free EVM chain), mainly used to measure on-chain rights related to users’ tasks and referral behaviors.
L is the equity token of LinkLayerAI. Users earn L through mining activities such as completing tasks and inviting others. As an on-chain digital asset, L serves as a proof of users’ actions within the LinkLayerAI ecosystem and, upon listing, will act as a trusted token for redeeming benefits.
LLAx, XL and L will eventually be converted into LLA through contracts, with LLA being issued on Binance Smart Chain.
For a detailed introduction, please visit the following link： Economics Introduction
LinkLayerAI Roadmap#
The team will develop a roadmap for the project on an annual basis to promote long-term sustainable growth and adapt to market changes, aiming to make LinkLayerAI the world’s largest AI data monetization platform. Here is the roadmap for 2024 and 2025
2024
Q1: Proposal of the Entire Project Architecture and Theoretical Feasibility Validation In the first quarter, we will outline the entire project architecture and validate its feasibility from a theoretical perspective.
Q2: Technical Development of Relevant Products and Targeted Stress Testing During the second quarter, we will focus on technical development of related products and conduct targeted stress tests.
Q3: Launch of LinkLayerAI’s Multi-Product Lines, Entering Data Collection Phase Q3 will see the launch of LinkLayerAI’s multi-product lines and entry into the data collection phase.
Q4: Aggregation of Multi-dimensional Web Data, Feasibility Development of Data + Agent Q4 will be dedicated to aggregating multi-dimensional web data and developing the feasibility of data + agent integration.
2025
Q1： Launch the Agent SaaS platform and Token Contract Agent, integrating multi-chain ecosystems such as EVM chain and SOL.
Q2： Fully implement the first version of the Intelligent Data Agent.
Conclusion#
LinkLayerAI aims to become the largest network data assetization platform by leveraging Agents and AaaS (Agent-as-a-Service) to drive diversified DataFi Protocols, establishing a multi-dimensional data supply-demand relationship between users and projects. This model not only enhances the flexibility and composability of DataFi Protocols but also maximizes the benefits and interoperability of all participants. It aggregates and monetizes fragmented web data while balancing weak value points within the ecosystem. This foundation is crucial for expanding the user base, fostering a positive cycle, and ultimately driving large-scale migration from Web2 to Web3.
Web2 holds valuable user behavior data, whereas Web3 primarily relies on blockchain-based transactional data, creating a significant gap. LinkLayerAI bridges this data value gap by integrating intelligent Agents and AaaS with DeFi smart contracts, enabling seamless data assetization and value circulation across Web2 and Web3.
Version History:#
📅June 2024 : Version 1.0.0, introduction of the project’s basic framework and logic.
📆February 2025 : Version 1.0.1, added introduction of Agent SaaS and Web3 Contract Agent.
📆March2025 : Version 1.0.1,added the logic of Agent and AaaS driving DataFi Protocols.