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BaaSid's token is designed as an Ethereum-based ERC-20 utility token and is used for ecosystem participation, rewards, and governance participation.
Main functions:
Token ecosystem: Inducing purchase of BAAS tokens and business activation by companies or third parties to use voting services of governance (partner companies, platforms, or Dapps that receive BaaSid technology)
Governance: Operating with a Proof of Participation reward model to induce continuous user participation and activation of the token ecosystem
Reward method: When users participate in data generation such as surveys and voting, they receive direct rewards in BAAS tokens or exchange BAAS tokens for system points of the corresponding platform or Dapp according to activities within the platform or Dapp
Utility: Point exchange within Agendabook, access to paid services, DAO voting rights, etc.
Research platform service


The existing internet has evolved into a structure that collects and stores individual users' authentication information in a centralized manner, controlling service access and transactions through this. While this structure has advantages in terms of convenience and efficiency, it also has limitations of information concentration such as data leaks, manipulation, and censorship.
BaaSid is a blockchain-based data verification and reward service platform designed to overcome these limitations of existing structures while maintaining the convenience and UX that users are familiar with. Beyond simply providing technology, it aims to integrate the entire process of data creation, distribution, verification, and rewards into a single participatory Web 3 ecosystem.
Breaking away from centralized authentication systems BaaSid enables trust-based authentication without third-party authentication agencies or central servers. It bridges blockchain and non-blockchain systems, aiming for a complete decentralized network composed of participants.
Prevention of data forgery and verifiability BaaSid prevents forgery of original data by directly storing data on the blockchain or at least recording hash values. In particular, it provides a technical foundation that enables verification without revealing the original through a Merkle Tree-based structure.
Participant-centered reward structure Users are not merely data providers but are positioned as contributors and beneficiaries of the data ecosystem. They receive BAAS tokens as rewards through activities such as surveys, voting, and providing opinions, which can be used as points or utilities within the service.
Particularly in research-based services that process voting data, BaaSid demonstrates its true value. It fundamentally blocks the possibility of respondent data being manipulated or forged, and by providing rewards corresponding to their contributions to participants, it creates a transparent and reliable data-based decision-making environment. This goes beyond technical completeness to play an important role in ensuring the viability and reliability of actual businesses.
BaaSid goes beyond existing BaaS (Blockchain as a Service) to present a new form of service centered on verifiable and rewardable data structures.
Data forgery prevention + Personal privacy protection
Decentralized verification + User-centered rewards
Utilization and transparency of verified data centered on AI
Inducing user participation through DAO-based governance
Through all these elements, BaaSid is evolving into a next-generation Web 3 data infrastructure equipped with the three elements of trust, verification, and participation, rather than a simple blockchain platform.
User sovereignty and privacy protection Data sovereignty is one of the most important philosophies that BaaSid pursues. Only users who own the original data can prove the authenticity of that information and control whether to disclose it themselves.



Agendabook is a representative real-use service of the BaaSid project, a next-generation survey and voting platform that combines user experience (UX) based on blockchain technology, DX (Digital Transformation), and AX (AI Transformation). To solve the reliability and transparency problems of existing data collection services, this platform introduces blockchain-based data verification technology and provides substantial rewards to participants, thereby building a more reliable data ecosystem.
Utilizing BaaSid's blockchain infrastructure, all voting and survey data participated by users (panels) are safely managed. Response data submitted by users is processed through the following procedures:
Response data → Hash processing → Merkle Tree structure generation
Store Merkle Root hash value in Ethereum smart contract
Through this, anyone can verify that the data has not been forged
Thanks to this structure, all survey data is transparently recorded and preserved on the blockchain. Users (panels) receive points for such participation, and these points are exchanged for ERC-20 based BAAS tokens to be used as practical reward means.
Public decentralized blockchain : Ethereum Network
Research platform [Commercialization Service]
BaaSid currently operates a Merkle Tree-based data proof and reward system on Ethereum, and BAAS tokens are issued with the ERC-20 standard. However, the high fee structure and transaction processing speed of the Ethereum mainnet have limitations in terms of usability, and act as a fundamental limitation to the expansion of the participation-based ecosystem pursued by BaaSid.
Accordingly, BaaSid is planning Layer 2 expansion and will accelerate commercialization through faster transaction processing.
BaaSid is a platform for blockchain-based data forgery prevention and reliability verification. The overall structure of the service is designed and operated around three core components: BaaSid token, BaaSid backend, and Agendabook app.
These components each perform unique roles and are interconnected, ensuring that data collected from users can be safely stored and verified. Additionally, by integrating reward mechanisms and user interfaces, it improves user experience and contributes to increasing platform participation and trust. Through this structural design, BaaSid goes beyond simply applying blockchain technology to enable practical service operation and the construction of a scalable business ecosystem.
Advances in AI mean more data. However, in existing Layer 1 blockchains, as more transactions occur, the network becomes more congested and fees increase. Additionally, there are limits to the scalability of various services. To improve these problems, it is necessary to apply Layer 2, and the advantages are as follows.
· • Cost reduction and speed improvement: It is a rollup-based layer 2 solution that bundles transactions and submits only the results, providing lower gas fees and faster transaction speeds compared to the Ethereum mainnet.
· • Development flexibility: Designed to build independent and customizable chains, allowing flexible configuration of gas tokens, DA layer, VM settings, etc. In particular, Stylus allows you to write smart contracts in general-purpose languages such as C, C++, and Rust, providing a familiar environment for traditional developers.
This flow shows that it is one of the strategic options in the process of expanding Web3 infrastructure. BaaSid also recognizes the need and value of such expansion, and Layer 2-based expansion can serve as the next step for BaaSid in terms of technology, governance, and user experience.
BaaSid is preparing for expansion through the following methods:
• Optimization of Merkle Tree verification structure
- Extension method: Reorganize Root and Proof based on Layer 2
- Create lightweight contracts optimized for L2: Improve cost-effectiveness of user or panel data verification by minimizing Proof verification operations
- When using Stylus-based contracts, execution speed and gas cost can be optimized by implementing Merkle verification logic in C++ or Rust.
• Maintains ERC-20 format and secures bridge possibility
BaaSid's Layer 2 expansion is more than a simple technological transition, it is a reorganization of the infrastructure for scalability and sustainability of the entire ecosystem. This means an evolution into a Web3-like data platform that provides a fast and inexpensive experience for users, a flexible architecture for developers, and real value through rewards and governance for participants.
User-friendly UX: Intuitive, Web 2-style design, mobile optimization
Reward-centered platform: Participants receive point (→BAAS token) rewards for voting data participation
MiniApp expandability: External brands or institutions can link Mini Dapps to Agendabook (data-based service expansion)
Privacy-centered design: Does not store user personal information, uses only data hashes
These three elements work together to complete a Web 3 data ecosystem of trust-based data collection → integrity verification → participation-based rewards.
BaaSid commercialization service









Unlock date
2
Founder / Co-Founder
10%
Lock up (May 2026)
3
Team & Advisor
10%
Lock up (May 2026)
Total
100%
80% of BAAS Token are in circulation in the market.
0x5d929AA919E489505CcAAd8A199619c6DCA0c2de
1
Circulating supply
80%
BaaSid's backend system is designed with an off-chain structure based on Merkle Tree to effectively verify the authenticity of data. Initially operated through BaaSid's own mainnet, it has now been migrated to an Ethereum base to increase token utilization and strengthen connectivity with external ecosystems. Furthermore, it is planned to be upgraded to a lightweight on-chain verification method based on Layer 2 such as Arbitrum in the future for more expanded accessibility and processing efficiency. Through this, we aim to build a blockchain data verification infrastructure that satisfies reliability, scalability, and cost efficiency.
Merkle Tree generation: Hash data (responses, votes, etc.) created by users or companies to create a tree structure
Root hash storage: Record only the generated Merkle Root on the blockchain
Verification request processing: Verify whether specific data is included through Merkle Proof provided by users
Data forgery prevention: Able to detect forgery without directly storing original data
off-chain storage pattern
Cryptographic proof in Merckle tree
Existing AI, especially LLM (Large Language Model), has the following problems:
Generation of false information (Hallucination)
Use of outdated information
Analysis based on data with unclear sources
To solve this, Agendabook introduces a RAG (Retrieval-Augmented Generation) structure. This method works as follows:
Agendabook collects panel survey response data in real-time
Records this data on the blockchain to create a "verifiable trusted dataset"
AI uses this blockchain-based real-time data as the basis (source) for analysis
As a result, fact-based reliable insights can be derived
This structure preemptively verifies and guarantees data reliability based on blockchain in AI's analysis environment, simultaneously improving reliability, precision, and currency. Additionally, since all data sources are disclosed, it can secure transparency in data analysis, maximizing the advantages of blockchain.
Data forgery/falsification verification method
Verification by On-Chain (Etherscan)
"BaaSid" is a name derived from the concept of BaaS (Blockchain as a Service), which refers to the method of modularizing and utilizing blockchain infrastructure to build various internet-based services, from web and mobile applications to data security services and cryptocurrency exchanges.
In typical internet services, various forms of personal information are stored and processed across user devices (smartphones, web browsers), third-party authentication agencies (social login providers, digital signature agencies), and centralized database servers (cloud DB, corporate servers, etc.). For example, when a user accesses an online shopping mall, email, address, payment methods, browser information, and login history are stored on the platform's servers, and during the payment stage, additional authentication is conducted through linkage with card companies or simple payment (PG) companies. When logging into SNS, identity is verified through APIs of external social authentication agencies such as Facebook and Google, where authentication tokens and access history are stored on servers. Additionally, in financial apps, user identity is continuously verified through a dual authentication system based on biometric authentication, mobile phone verification, and digital certificates.
Through these systems, users' major activities such as login, identity verification, content access, product purchase, remittance, and payment are carried out in real-time without interruption, maintaining a centralized service structure that prioritizes user experience (UX).
However, this structure creates the problem of information centralization. As individual platforms store user data on their own servers or third-party agencies, personal information is concentrated in a small number of companies and institutions. This centralized structure causes the following problems:
Security threats: Large-scale personal information leaks can occur if a single point is hacked.
Privacy violations: Collected data may be used or shared externally without user consent.
Data monopoly: Companies treat data as an asset and control it, but users find it difficult to have control over their own information.
Lack of transparency: There are limited ways for users to directly verify or validate how their data is being used.
To solve these problems while providing the convenient user experience (UX) of existing web services, a blockchain-based BaaS structure like BaaSid is needed.
Furthermore, the forgery, verification, and information disclosure of all data required for authentication align most closely with the value of blockchain. In particular, the issues of trust, source, and evidence regarding information and data generated by the proliferating AI can cause serious social problems. Accordingly, BaaSid aims to strengthen security for various data in line with these contemporary trends, develop solutions suitable for real life and business to provide to service companies, and through this, build the BAAS token ecosystem.
Notice https://t.me/baasidnotice
Telegram QnA https://t.me/Bigbaas100
Kakao1
kakao2
X
Medium
Address : 6th floor, Yokohama Creed Building, 123-1 Yamashita-cho, Naka-ku, Yokohama, Kanagawa Prefecture, JAPAN
BaaSid's fundamental goal of expanding to Layer 2 is to maximize the utility of BAAS tokens. This is a strategy that goes beyond a simple technical transition to drive user engagement, expand the token economy, and ensure that tokens have real utility in a variety of on-chain activities. To achieve this, we are expanding in the following directions:
· On-chain data verification: Beyond the existing off-chain-on-chain mixed structure, we design voting/research results to be verified on-chain in real time through a lightweight smart contract. This ensures transparency and integrity of the system, while BAAS tokens are used as a means of verification fee or participation reward during the verification process.
· Building a DApp ecosystem: We open APIs, SDKs, and token wallet linkage interfaces so that internal or external partners in various commercialization businesses can develop and operate independent DApps. These applications utilize BAAS tokens to perform functions such as data collection, voting, participation rewards, and digital asset management, ultimately creating a structure that increases the demand for BAAS tokens.

AT&T(ChengDu) Technical manager
Taiwan Mobile Company senior Director of project department
ChongHong Cable TV company VP / chief engineer
CEO of Agendabook
Chairman of KBIPA international cooperation committee
Director of SDX foundation
CEO of Korea Network Technology
Director of NHN Bugs
CEO of PRO / CEO of Cryptolab
In charge of Network design at NTT
HITACHI Nuclear Power, MITSUBISHI Nuclear Power, TOSHIBA Nuclear Power Plant Design
Development of 3D-CAD System for Tokyo Gas application drawing
· DAO-based operation: Rather than a DAO-based decision-making participation structure, we adopt a structure designed around rewards for users’ actual activities (e.g., responding to surveys, participating in voting, data verification, etc.). This structure provides incentives to users, improves the reliability and quality of data, and activates the actual circulation of BAAS tokens.
· Securing and monetizing data for AI learning: By providing structured voting data collected based on blockchain to LLM learning, users who actually contributed will be directly rewarded with BAAS tokens. This model can be monetized through partnerships with AI and data companies, and BAAS tokens will be actively used as a medium of exchange in such data transactions.




















