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AI Agent: Dev Challenge
This is a submission for the Agent.ai Challenge: Full-Stack Agent (See Details) What I Built My agent is a Blockchain researcher, responsible for evaluating projects and returning useful information for all. Initially it returns only simple data on each Crypto project, but I want to improve it so that it can return the risk-related crypto assets and selected network useful on-chains information. In the future I plan to add the following information: Financial Information: Current price in different currencies (USD, BTC, etc.) Price changes (1h, 24h, 7d, 30d, 1y) 24h trading volume Market capitalization Current token circulation Maximum supply Total supply All-time low All-time high Liquidity in main trading pairs Technical Information: Base blockchain Token type (ERC-20, BEP-20, etc.) Consensus mechanism Main smart contracts Security (completed audits) Technologies used Scalability Interoperability Project Information: Launch date Team behind the project Founders Main partners Development roadmap Use cases Whitepaper Tokenomics (token distribution) Governance model Recent updates Market Data: Main exchanges where it's traded Most popular trading pairs Market dominance Cryptocurrency ranking Market sentiment Basic technical analysis Correlation with other assets Social and Community Aspects: Community size Social media presence GitHub activity Update frequency Communication quality Upcoming events User/enterprise adoption Demo You can test my first test version on this link. Agent.ai Experience I had some difficulty absorbing all the information I needed to create my own agent, but the whole process was very fun and rewarding. I hope to be able to evolve a lot more with my AI agents. Project author: @dibastos
This is a submission for the Agent.ai Challenge: Full-Stack Agent (See Details)
What I Built
My agent is a Blockchain researcher, responsible for evaluating projects and returning useful information for all. Initially it returns only simple data on each Crypto project, but I want to improve it so that it can return the risk-related crypto assets and selected network useful on-chains information. In the future I plan to add the following information:
Financial Information:
- Current price in different currencies (USD, BTC, etc.)
- Price changes (1h, 24h, 7d, 30d, 1y)
- 24h trading volume
- Market capitalization
- Current token circulation
- Maximum supply
- Total supply
- All-time low
- All-time high
- Liquidity in main trading pairs
Technical Information:
- Base blockchain
- Token type (ERC-20, BEP-20, etc.)
- Consensus mechanism
- Main smart contracts
- Security (completed audits)
- Technologies used
- Scalability
- Interoperability
Project Information:
- Launch date
- Team behind the project
- Founders
- Main partners
- Development roadmap
- Use cases
- Whitepaper
- Tokenomics (token distribution)
- Governance model
- Recent updates
Market Data:
- Main exchanges where it's traded
- Most popular trading pairs
- Market dominance
- Cryptocurrency ranking
- Market sentiment
- Basic technical analysis
- Correlation with other assets
Social and Community Aspects:
- Community size
- Social media presence
- GitHub activity
- Update frequency
- Communication quality
- Upcoming events
- User/enterprise adoption
Demo
You can test my first test version on this link.
Agent.ai Experience
I had some difficulty absorbing all the information I needed to create my own agent, but the whole process was very fun and rewarding. I hope to be able to evolve a lot more with my AI agents.
Project author: @dibastos
