RootData announces the combination of OpenClaw, and these games are going crazy
Author:ChainThink
Just this afternoon, the encrypted data platform RootData announced that the core data would be sealed as Skill and that it would go to the official skills market of OpenClaw, ClawHub, an open-source AI assistant, for free call by various AI agents. Both practitioners and encrypted players can do a lot of things with these Skylls, and then look at what changes will come
One, RootData, what's open
1. Core data capacity
According to ClawHubPageThe data released by RootData include:
Project database
- Basic information on thousands of encrypted projects (teams, financing, token economics)
- Project classification labels (DeFi, NFT, Layer 2, AI, etc.)
- Project status tracking (developing, online, closed)
Financing data
- REAL-TIME FINANCING ROUNDS (SEED WHEELS, ROUND A, STRATEGIC INVESTMENTS, ETC.)
- List of investment institutions and amounts invested
- Changes in financing timelines and valuations
Currency data
- Currency price, market value, volume of transactions
- Schedule for the distribution of tokens and the reconciliation of locks
- Exchange information
Social media data
- Twitter attention, interaction
- Size of Discord/Telegram community
- Community Activity Indicators
Market sentiment
- Project heat ranking
- Changes in user interest
- An analysis
2. Technical realization: Skill seal
RootData sealed these data as OpenClaw's "Skill", a standardized AI tool interface. The developer does not need to connect directly to RootData ' s API, but simply to call Skill through OpenClaw。
Skill's advantage:
- Standardized interface: harmonized call approach to reduce integration costs
- Automatic update: data are synchronized in real time without manual maintenance
- Free call: completely free for AI Agent developers
- Cross-platform compatibility: supporting various AI frameworks (Langchain, AutoGPT, etc.)
What can this do
Scenario 1: Smart investment assistant
Traditional approach:
Investors need to manually search for project information, financing data, token economics on multiple platforms and then sort them out as input reports。
Al Agent way:
User: "Analyse the recently funded Layer 2 project for me."
AI Agent:
1. Call RootData Skill for the last 30 days of Layer 2 project
2. Withdrawal of funds, investment institutions, project progress
3. Comparing token economics and community dynamics of projects
4. Generate research papers that identify risk and opportunity points
Value:
- MANUALLY SEARCH FOR 2-3 HOURS
- Cover more comprehensive data dimensions
- Real-time updates, not missing updates
Scenario 2: Project automation
Traditional approach:
VC NEEDS TO DO EVERYTHING POSSIBLE BEFORE INVESTING, INCLUDING TEAM BACKGROUND, FINANCING HISTORY, COMPETITION ANALYSIS, COMMUNITY SIZE, ETC., FOR SEVERAL WEEKS。
Al Agent way:
VC: "MOVE PROJECT XYZ."
AI Agent:
1. Call RootData for basic project information
Linked In and GitHub, members of the analysing team
3. Comparison of financing and progress of competing races
4. Assessing community activity and user growth
5. Generate due diligence reports with red flags and bright spots
Value:
- A few weeks, hours
- Cover more dimensions (social media, data on links, etc.)
- Reduce artificial bias and improve the quality of decision-making
Scenario 3: real-time market monitoring
Traditional approach:
Dealers need to keep an eye on multiple platforms, manually tracking project dynamics, financing messages, currency unlocking, etc。
Al Agent way:
Trader: "Monitoring the financing of all Layer 2 projects and unlocking the tokens."
AI Agent:
1. Real-time monitoring of RootData financing data
2. Automatically forward notifications when new financing is found
3. Tracking the time frame for the unlocking of coins and early warning
4. Analysis of the impact of financing on token prices
Value:
- 24/7 automatic surveillance, without missing any information
- Early warning of risk events (e.g. large unlocking)
- Savings in human costs
Scenario 4: Automation of content creation
Traditional approach:
Encrypted media require manually collecting project information, financing data and then writing press releases or analytical articles。
Al Agent way:
Editor: "Book a summary of the financing project this week."
AI Agent:
1. Call RootData for all financing projects this week
2. DRAWING ON TOP BY FINANCING AMOUNT
3. Analysis of financing trends (which tracks are the hottest)
4. Production of 1,500 words of summary articles
Value:
- 10 times more efficient content production
- More accurate data
- Release editorial time for depth analysis
Scenario 5: Community Operations Assistant
Traditional approach:
Projecters need to track the dynamics of competition, community growth, user feedback, etc。
Al Agent way:
Projector: "The growth of our community against the competition."
AI Agent:
1. Call RootData for competition Twitter, Discord data
2. Comparison of fan growth and interaction
3. Analysis of the operational strategy of the competition (activity, air drop, etc.)
4. Generate competition analysis reports and provide operational recommendations
Value:
- Real-time knowledge of competition dynamics
- Data-driven operational decisions
- Increasing the efficiency of community growth
III. Challenges and prospects
Challenge 1: Data quality
AI Agent ' s output quality is highly dependent on data quality. RootData needs to continuously optimize data collection and cleansing processes to ensure data accuracy and timeliness。
CHALLENGE 2: API ABUSE
Free access may lead to abuse of API (e.g. reptiles, malicious calls). RootData needs to design reasonable containment and monitoring mechanisms。
Challenge 3: Competitive pressures
Once the data is open, other platforms may follow suit, RootData needs continuous innovation to remain competitive。
Outlook: AI Agent ecological outbreak
RootData's opening is just the beginning. In the future, we may see:
- More open data platforms
- AI Agent market boom: tens of thousands of AI applications based on open data construction
- Data standardization: industry develops harmonized data interface standards
Conclusion: Data openness is a trend
The RootData open data platform is not just a technological innovation, but a strategic transformation. In the AI Age, the value of data is not "possession," but "connection."。
Through OpenClaw and ClawHub, RootData has positioned itself as a secure AI ecological infrastructure, not just a data platform. This openness is perhaps the best expression of the spirit of Web3。
FOR DEVELOPERS, THIS IS AN EXCELLENT OPPORTUNITY: FREE ACCESS TO HIGH-QUALITY DATA AND RAPID CONSTRUCTION OF AI APPLICATIONS. FOR USERS, THIS MEANS THAT A MORE INTELLIGENT AND EFFICIENT WAY OF OBTAINING ENCRYPTED INFORMATION IS COMING。
FOR INDUSTRY, THIS IS ANOTHER POUND OF ENCRYPTION AND DEEP INTEGRATION WITH AI。
The age of open data has arrived。
