Use an LLM
Access AI-optimized Octav API documentation via llms.txt for ChatGPT, Claude, and other LLMs
Quick Start Examples
Ready-to-use AI prompts for building common crypto applications with Octav
Why Build with AI + Octav?
Rather than just code completion, AI helps you architect, implement, and optimize blockchain applications that leverage Octav’s comprehensive portfolio and transaction data.What You Can Build
Portfolio Trackers
Multi-chain portfolio dashboards
- Real-time balance tracking
- DeFi position monitoring
- Net worth calculations
- Historical performance
Analytics Platforms
Advanced blockchain analytics
- Transaction categorization
- Protocol usage patterns
- Chain distribution analysis
- Yield tracking
AI Agents
Autonomous monitoring systems
- Portfolio alerts
- Balance notifications
- Transaction monitoring
- Automated reporting
Tax & Accounting
Financial tracking tools
- Transaction history export
- Fee tracking
- Income/expense categorization
- Multi-wallet aggregation
Octav AI Integrations
llms.txt Format
Access structured, AI-friendly Octav API documentation:- Complete API endpoint reference
- Authentication and pricing details
- Supported chains and protocols
- Transaction types and categorization
- Code examples in multiple languages
- Data models and response structures
Integration Methods
- Direct LLM Access
- Development IDEs
- AI Agents
ChatGPT, Claude, PerplexitySimply reference the llms.txt URL in your conversation:The LLM will fetch and parse the documentation automatically.
What Octav Provides for AI Development
Comprehensive Blockchain Data
Portfolio Data
Portfolio Data
Real-time holdings across 65+ chains
- Multi-chain aggregation
- DeFi protocol positions
- Token balances and values
- NFT holdings
- Net worth calculations
Transaction History
Transaction History
Complete transaction records with smart categorization
- Automatic transaction typing (swaps, transfers, DeFi actions)
- Fee tracking
- Search and filtering
- Date range queries
- Multi-chain support
Historical Data
Historical Data
Time-series portfolio snapshots
- Daily portfolio values
- Performance tracking
- Historical comparisons
- Date-based queries
DeFi Positions
DeFi Positions
Protocol-level position tracking
- Lending positions
- Liquidity pools
- Staking positions
- Yield farming
- Vault positions
Getting Started with AI Development
Get API Access
- Sign up at data.octav.fi
- Generate an API key
- Purchase credits (see Pricing)
Choose Your AI Tool
Pick the tool that fits your workflow:
- ChatGPT/Claude: Quick prototyping and exploration
- Cursor: Full IDE integration for serious development
- GitHub Copilot: Code completion while you type
- Custom Agents: Autonomous monitoring systems
Start Building
Use our Quick Start Guide for ready-to-use prompts:
Example: Building with AI
Here’s a realistic example of building a portfolio tracker with AI assistance:Best Practices for AI + Octav
Provide Context
Provide Context
Give AI the full picture:Better context = better code generation
Reference Actual Data
Reference Actual Data
Use real API responses:Real data helps AI understand the structure
Iterate Incrementally
Iterate Incrementally
Build in stages:
- Basic feature: “Fetch and display portfolio”
- Add details: “Show protocol breakdown”
- Add polish: “Add loading states and error handling”
- Optimize: “Add caching and performance improvements”
Validate AI Output
Validate AI Output
Always review generated code:
- Check API endpoint URLs
- Verify parameter names
- Test error handling
- Validate data types
- Review security (API key handling)
Common Use Cases
- Portfolio Dashboard
- Transaction Explorer
- DeFi Tracker
- Tax Export Tool
What to Read Next
Quick Start Guide
Jump right in with ready-to-use prompts for common applications
LLMs Integration
Learn how to integrate with AI tools like ChatGPT and Claude
Building AI Agents
Create autonomous monitoring systems with Octav data
Best Practices
Master effective prompting for better results