1. Project Overview
Codatta is a decentralized data infrastructure protocol focused on building the AI Knowledge Layer. The project's core vision is 'Knowledge, Data Assets, Endless AI Royalties,' committed to providing high-quality knowledge data assets for AI development through blockchain technology and allowing data contributors to receive continuous copyright income.
Core Innovations:
CAA System (Crypto Account Annotation): Provides annotation services for over 500 million cryptocurrency accounts
Copyright Fee Model: Allows knowledge builders and AI builders to share the success benefits
Decentralized Data Network: A collaborative network composed of human contributors and professional AI agents
The project is positioned as a data infrastructure for the AI era, building the largest structured knowledge database in the Web3 field through a community-driven approach to provide high-quality specialized data in the cryptocurrency field for AI model training.
2. Token Distribution
Basic Token Information:
Token Symbol: $XNY
Blockchain: BNB Chain
Total Supply: 10 billion XNY
Token Price: $0.0005 (Pre-TGE price)
Disclosed Allocation Plan:
Binance Wallet Presale: 200 million XNY (2% of total supply)
Booster Campaign: 600 million XNY (6% of total supply, distributed over 12 weeks)
Early Supporter Rewards: Specifically reserved for early contributors (number not disclosed)
Distribution Characteristics:
Adopts a progressive distribution model to avoid large token concentration releases
Gradually distributes through various community activities to ensure healthy ecological development
Copyright Fee Distribution Mechanism: Revenues generated from data usage are distributed according to contribution
Lock-up Mechanism: Presale tokens cannot be traded before TGE
3. Fund Use
Investment Background:
Major Investors: OKX Ventures (confirmed)
Financing Scale: Binance Wallet presale target of $100,000
Expected Fund Use:
Technical Research and Development (45-50%):
Continuous optimization and large-scale expansion of the CAA system
Construction of AI knowledge layer infrastructure
Cross-chain compatibility and data interoperability
Data quality verification algorithm optimization
Ecosystem Building (30-35%):
Community incentives and rewards for data annotators
Expansion and integration of partner ecosystems
Developer tools and SDK construction
Data contributor training system
Market Promotion (10-15%):
Brand building and community operation
Industry collaboration and influence expansion
User education and market expansion
Operating Costs (5-10%):
Team expansion and talent recruitment
Legal compliance and security audits
Infrastructure maintenance costs
4. Team Information
Core Team Members:
Yi Zhang (@drtwo101) - Founder and CEO
Senior expert in AI and blockchain fields
In-depth research and insights into AGI development
Active in technical communities, frequently sharing cutting-edge technical views
Sky - Co-founder and Chief Engineer
Main designer of the CAA system architecture
Rich experience in cryptocurrency data analysis and large-scale data processing
Jessie - Marketing Manager
Responsible for community building and partnership maintenance
Actively participate in industry activities and ecological cooperation
Team Characteristics:
Possesses a deep technical background in both AI and blockchain
Deep understanding and professional experience in the cryptocurrency data field
Strong execution ability, established a wide industry cooperation network in a short period
Values community building, frequently interacts with users
5. Economic Model
Core Design Concept: Build a sustainable copyright fee economic model based on 'data as an asset'
Value Creation Mechanism:
Data Annotation Rewards: Users earn XNY token rewards by participating in CAA annotations
Quality Verification Incentives: Data validators receive additional rewards for reviewing annotation quality
AI Usage Payment: AI developers must pay XNY tokens to use Codatta data
Copyright Fee Distribution Model:
Continuous Revenue Sharing: Long-term distribution of revenues generated from data usage according to contributions
No upfront costs: Data contributors do not need to pay fees in advance, lowering the participation threshold
Risk-sharing and revenue-sharing: Interests of AI builders and knowledge builders are tied together
Token Utility Function:
Governance Rights: XNY holders participate in voting on important decisions of the protocol
Staking Rewards: Staking XNY increases the platform's reputation score, unlocking more tasks and rewards
Fee Payment: Serves as a payment medium for transactions and services within the platform
Reputation Staking: Staking tokens increases account credibility, obtaining priority and discounts
6. Compliance and Legal Risks
Data Compliance Risks:
Privacy Protection Compliance: Must comply with global data protection regulations such as GDPR and CCPA
Data Sovereignty Issues: Cross-border data transfer faces regulatory restrictions from different countries
Anonymization Processing: Ensure the secure handling and storage of users' private data
Token Regulatory Risks:
Securities Nature Determination: The legal status of XNY in different jurisdictions needs clarification
Anti-Money Laundering Compliance: A comprehensive KYC/AML mechanism and monitoring system need to be established
Tax Treatment: Tax declaration and cross-border tax issues related to copyright fee income
Proactive Risk Mitigation Measures:
High-Quality Investment Background: OKX Ventures investment reflects a certain compliance foundation
Mainstream Platform Recognition: The Binance Wallet presale indicates the project has passed rigorous scrutiny
Technical Solutions: Emphasis on data anonymization and privacy protection technology applications
Decentralized Governance: Reduces centralized regulatory risks through DAO governance model
7. Competitive Analysis
Comparison of Major Competitors:
Ocean Protocol:
Strengths: Pioneer in decentralized data markets, relatively mature ecosystem, complete technical solutions
Weaknesses: Strong generality but insufficient specialization in the cryptocurrency field, lack of AI native design
The Graph:
Strengths: Absolute leader in blockchain data indexing, high technological maturity
Weaknesses: Mainly provides basic data queries, lacks advanced annotation functions needed for AI training
Numerai:
Strengths: Successful cases and validation in traditional financial data AI applications
Weaknesses: Focus on traditional financial markets, severely lacking coverage of Web3 native data
Codatta's Competitive Advantage:
Vertical Specialization: Focus on cryptocurrency account analysis, significantly leading in expertise in this field
Scaled Annotation: 500 million account annotation scale is a leading level in the industry
AI Native Design: Optimized design for AI model training and inference from the initial project phase
Innovative Incentive Model: The copyright fee distribution mechanism is innovative in the industry
Strong Ecological Cooperation: Established partnerships with EigenLayer, Binance, and multiple DeFi projects
Competitive Disadvantages:
Project Development Stage Relatively Early: Compared to mature competitors, the user base and data scale still need to accumulate
Technical Implementation Challenges: Large-scale data processing and quality control face technical and engineering challenges
Market Education Costs: The copyright fee model needs time for the market to understand and accept its value
8. Risk Warning
Technical Implementation Risks:
Scalability Challenges: Annotating 500 million accounts places extremely high demands on system performance and storage
Data Quality Control: How to ensure data accuracy and consistency under a crowdsourced annotation model
AI Adaptability: Whether the annotated data format truly meets the training needs of various AI models
Security Risks: Cybersecurity threats faced by large-scale data storage and processing
Market and Business Risks:
Uncertainty in AI technology development: Rapid iterations of AI technology may change data demand
Risk of intensified competition: More well-funded projects entering the AI + Web3 data track
Market Acceptance: The commercial viability and market acceptance of the copyright fee model need validation
Cryptocurrency Market Volatility: Project development is highly correlated with overall cryptocurrency market performance
Operational and Governance Risks:
Decentralized Governance Challenges: The efficiency and quality of decision-making in community governance are difficult to guarantee
Key Personnel Dependency: Over-reliance on core team members and key partners
Fund Management Risks: Effective allocation and utilization efficiency of project funds
Regulatory Policy Changes: Uncertainties in AI and data-related regulatory policies
Token Economic Risks:
Inflation Pressure: Large-scale token releases through various activities may create price pressure
Utility Validation: Whether the actual use cases of the token are sufficient to support long-term value
Incentive Sustainability: Economic viability and sustainability of the long-term copyright fee distribution model
9. Personal Views
Project Core Highlights:
Precise Track Selection: AI + Web3 data infrastructure is a key growth track in the next 3-5 years
Technical Solution Innovation: CAA system and copyright fee model have significant differentiated advantages in the industry
Excellent Team Execution: Established a wide range of partnerships in a short period, demonstrating strong execution ability
High-Quality Capital Background: OKX Ventures investment + Binance Wallet debut, strong resource integration capability
Community Building in Place: 147,000 Twitter followers, high community interaction activity
Key Indicators of Focus:
Technical Milestones: Focus on the actual performance of the CAA system and the quality of data annotations
Business Model Validation: The actual operational effect and user acceptance of the copyright fee distribution mechanism
Ecosystem Development Speed: Growth in the number of partners and the expansion of data usage scenarios
Token Value Capture: The actual usage frequency and value support capability of the XNY token
Maintaining Competitive Position: How to maintain technological and ecological advantages in the face of subsequent competitors
Investment Strategy Recommendation:
Risk Rating: Medium to high risk (early-stage project, dual uncertainty in technology and business model)
Positioning Advice:
Aggressive Investors: 10-15% of risk investment portfolio
Conservative Investors: 1-3% of risk investment portfolio
Conservative Investors: Wait-and-see or small position trial (1-3%)
Investment Timing:
Short Term: Binance Wallet presale and Booster Campaign provide good early participation opportunities
Medium Term: Focus on market performance and technical progress milestones after TGE
Long Term: Consider increasing allocation after business model validation
Holding Strategy:
Recommendation to hold for the medium to long term (12-24 months), allowing ample time for the project's technical implementation and business validation
Build positions in batches, adjusting positions at important technical milestones and partnership progress
Set stop-loss points to control single-project risk exposure
Comprehensive Score: 8.0/10
Technical Innovativeness: 8.5/10 (CAA system and copyright fee model are innovative)
Team Strength: 8.0/10 (Excellent technical background, strong execution ability)
Market Prospects: 8.5/10 (AI + Web3 data track has broad prospects)
Competitive Position: 7.5/10 (Has certain advantages but faces fierce competition)
Risk Control: 7.5/10 (Strong compliance awareness but still high technical risk)
10. Summary
Codatta is positioned to build the knowledge layer infrastructure of the AI era, providing unique data solutions for the rapidly developing AI industry through the innovative CAA system and copyright fee economic model. The project excels in technical innovation, team strength, and capital support, especially establishing a clear first-mover advantage in the vertical field of cryptocurrency data annotation.
Strengths Summary: The project has chosen the right development direction, with a differentiated competitive advantage in the technical solution, an excellent team background and strong execution ability, and has received recognition from high-quality capital and platforms. The innovativeness of the copyright fee distribution model provides new ideas for the industry and is expected to build a sustainable data economic ecosystem.
Risk Summary: As an early-stage project, it faces uncertainties in technical implementation, business model validation, and market competition. The technical challenges of large-scale data processing and the market acceptance of the copyright fee model need time for validation. Project success requires breakthroughs in multiple dimensions, such as technological innovation, ecosystem building, and user growth.
Final Recommendation: Codatta is suitable for investors with strong risk tolerance who are optimistic about the AI + Web3 track to allocate moderate positions. The project has the potential to become an important part of AI data infrastructure, but close attention must be paid to technical progress and business model validation. It is recommended to adopt a phased investment strategy, gradually adjusting investment positions as important milestones are achieved.
Disclaimer: This analysis report is based on publicly available information and is for investment reference only, not constituting specific investment advice. Cryptocurrency investment carries high risks, potentially leading to total loss of principal. Investors should make cautious decisions based on their own risk tolerance and investment objectives and are advised to consult professional investment advisors.