Quick Selection
Choose your path based on your primary needs:| I want to… | Recommended Path |
|---|---|
| Get token prices and trading data | Data User |
| Detect transaction risks and analyze addresses | Compliance User |
| Let AI query on-chain data | AI Builder |
Data User
Use Cases
Developers who need to obtain on-chain data for display, analysis, or trading decisions. Typical scenarios:- Display real-time token prices in dApps
- Build market dashboards or data analytics tools
- Monitor position changes of specific wallets
- Develop trading bots to get market data
- DeFi application developers
- Market data display platforms
- On-chain data analysts
- Trading bot developers
Recommended Path
Understand Data Models
Read Data Concepts to understand ChainStream’s data structure
Call Token API
View Token API Reference to get price and token information
Hands-on: Price Alert
Follow the Price Alert Bot Tutorial to build a complete application
Core Capabilities
You will use the following capabilities:- Real-time price data (WebSocket push)
- Multi-chain token information queries
- Trading and position data
- Smart Money wallet tracking
Estimated time: Completing the recommended path takes approximately 1-2 hours
Compliance User
Use Cases
Teams that need to assess transaction risks or analyze address security. Typical scenarios:- Detect if user deposits come from high-risk addresses
- Analyze wallet address historical behavior
- Generate transaction risk assessment reports
- Integrate risk control flows into business systems
- Exchange compliance teams
- Wallet security teams
- Risk control system developers
Recommended Path
Understand KYT/KYA
Read Security Compliance Overview to understand risk control capabilities
Call Risk Assessment API
View KYT API Reference to understand transaction risk assessment interfaces
Hands-on: Deposit Risk Control
Follow the Deposit Risk Control Integration Tutorial to implement the complete flow
Core Capabilities
You will use the following capabilities:- KYT transaction risk assessment (returns risk scores and labels)
- KYA address profiling (address type, historical behavior)
- Risk label system (configurable risk rules)
Estimated time: Completing the recommended path takes approximately 2-3 hours
AI Builder
Use Cases
Developers who want AI Agents to query and understand on-chain data. Typical scenarios:- Let Claude/GPT answer on-chain data questions
- Build AI assistants that understand crypto markets
- Integrate on-chain data queries into AI workflows
- AI Agent developers
- Automated trading system developers
- LLM application developers
- MCP integration developers
Recommended Path
Understand AI Capabilities
Read AI Infrastructure Overview to understand the MCP protocol
Configure MCP Server
Follow the MCP Setup Guide to complete integration
Hands-on: AI Assistant
Follow the AI Trading Assistant Tutorial to build a complete application
Core Capabilities
You will use the following capabilities:- MCP Server integration (supports Claude Desktop and other clients)
- AI-friendly toolset (structured output)
- Natural language queries (e.g., “Query ETH price in the last 24 hours”)
Estimated time: Completing the recommended path takes approximately 1-2 hours