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Use AI as your development partner to build crypto portfolio trackers, analytics dashboards, and blockchain data applications through conversation and iteration.

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

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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.

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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

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Octav AI Integrations

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llms.txt Format

Access structured, AI-friendly Octav API documentation: 
https://api-docs.octav.fi/llms.txt
Point your AI agent or LLM to this URL to automatically understand the Octav API structure and capabilities
What’s Included:
  • 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

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Integration Methods

  • Direct LLM Access
  • Development IDEs
  • AI Agents
ChatGPT, Claude, PerplexitySimply reference the llms.txt URL in your conversation:
"Using the Octav API documentation at https://api-docs.octav.fi/llms.txt,
help me build a portfolio tracker for Ethereum and Base"
The LLM will fetch and parse the documentation automatically.

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What Octav Provides for AI Development

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Comprehensive Blockchain Data

Real-time holdings across 65+ chains
  • Multi-chain aggregation
  • DeFi protocol positions
  • Token balances and values
  • NFT holdings
  • Net worth calculations
Perfect for: Portfolio dashboards, wealth tracking, multi-wallet aggregation
Complete transaction records with smart categorization
  • Automatic transaction typing (swaps, transfers, DeFi actions)
  • Fee tracking
  • Search and filtering
  • Date range queries
  • Multi-chain support
Perfect for: Tax tools, spending analysis, transaction explorers
Time-series portfolio snapshots
  • Daily portfolio values
  • Performance tracking
  • Historical comparisons
  • Date-based queries
Perfect for: Performance analytics, trend analysis, reporting
Protocol-level position tracking
  • Lending positions
  • Liquidity pools
  • Staking positions
  • Yield farming
  • Vault positions
Perfect for: DeFi dashboards, yield tracking, risk analysis

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Getting Started with AI Development

Get API Access

  1. Sign up at data.octav.fi
  2. Generate an API key
  3. 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:
"Using Octav API, create a Next.js portfolio tracker that shows:
- Real-time balance across Ethereum, Base, and Arbitrum
- DeFi positions from Aave and Uniswap
- Transaction history with filtering
- Historical performance chart"

Deploy & Monitor

AI can help with deployment too:
  • Environment variable setup
  • Build optimization
  • Error handling
  • Production monitoring

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Example: Building with AI

Here’s a realistic example of building a portfolio tracker with AI assistance: 
"I want to build a crypto portfolio tracker using the Octav API.

Requirements:
- Support multiple wallets
- Show balances across Ethereum, Base, and Arbitrum
- Display DeFi positions (lending, liquidity pools)
- Show transaction history with search
- Calculate total net worth

Tech stack: Next.js, TypeScript, TailwindCSS

Please help me:
1. Design the architecture
2. Set up the project structure
3. Implement the core features"

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Best Practices for AI + Octav

Give AI the full picture:
"I'm building a DeFi yield tracker using Octav API.
Current stack: Next.js, TypeScript
Already implemented: Portfolio fetching
Now need: Yield position tracking across Aave, Compound, Uniswap"
Better context = better code generation
Use real API responses:
"Here's the actual portfolio response from Octav:
[paste JSON]

Help me extract all lending positions and calculate total yield"
Real data helps AI understand the structure
Build in stages:
  1. Basic feature: “Fetch and display portfolio”
  2. Add details: “Show protocol breakdown”
  3. Add polish: “Add loading states and error handling”
  4. Optimize: “Add caching and performance improvements”
Always review generated code:
  • Check API endpoint URLs
  • Verify parameter names
  • Test error handling
  • Validate data types
  • Review security (API key handling)

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Common Use Cases

  • Portfolio Dashboard
  • Transaction Explorer
  • DeFi Tracker
  • Tax Export Tool
"Build a portfolio dashboard with Octav that:
- Aggregates multiple wallet addresses
- Shows total value by chain
- Displays top holdings
- Shows DeFi positions separately
- Updates every 5 minutes

Use React hooks for data fetching and state management"
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Quick Start Guide

Jump right in with ready-to-use prompts for common applications
2

LLMs Integration

Learn how to integrate with AI tools like ChatGPT and Claude
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Building AI Agents

Create autonomous monitoring systems with Octav data
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Best Practices

Master effective prompting for better results

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Need Help?

Join Discord

Ask questions about AI development with Octav

API Documentation

Complete API reference and guides

Code Examples

Working examples in multiple languages

Pricing

Understand API costs and credit usage