Professional Crypto Developer Tools
Build powerful blockchain applications with comprehensive data APIs, analytics tools, and developer resources for enterprise-grade crypto integrations.
Complete Developer Suite
Professional tools and APIs for building blockchain applications with enterprise-grade reliability
Crypto Developer Dashboard
Comprehensive developer dashboard providing APIs, SDKs, and tools for integrating crypto data and analytics into your applications with enterprise-grade reliability.
Key Features:
- REST & WebSocket APIs
- SDK Libraries
- Real-Time Data
- Documentation
- Rate Limiting
Crypto Distribution Analysis
Analyze token distribution, holder concentration, and wallet clustering to understand project tokenomics, identify whales, and assess decentralization metrics.
Key Features:
- Holder Analysis
- Concentration Metrics
- Wallet Clustering
- Distribution Charts
- Historical Tracking
Crypto MCP
Model Context Protocol integration for crypto data, enabling AI applications to access real-time blockchain data, market analytics, and on-chain insights programmatically.
Key Features:
- MCP Integration
- AI-Ready Data
- Real-Time Access
- Structured Outputs
- Context Management
Frequently Asked Questions
What are the best crypto data APIs for developers?
The best crypto data APIs provide comprehensive market data, on-chain analytics, real-time price feeds, historical data, and developer-friendly documentation. Sharpe AI offers REST and WebSocket APIs with enterprise-grade reliability, covering prices, trading volumes, funding rates, on-chain metrics, and advanced analytics across all major exchanges and blockchains.
How do I analyze token distribution and holder concentration?
Token distribution analysis involves examining wallet holdings, calculating concentration metrics like Gini coefficient, identifying whale wallets, and tracking holder changes over time. Distribution analysis tools provide insights into project decentralization, potential sell pressure from large holders, and token accumulation patterns that can signal market trends.
What is MCP integration for crypto data?
Model Context Protocol (MCP) integration enables AI applications to access crypto data programmatically with structured context. This allows AI agents and LLMs to query blockchain data, analyze markets, and provide insights in real-time. MCP provides a standardized interface for AI systems to interact with crypto data sources efficiently.
How can developers integrate crypto analytics into their apps?
Developers can integrate crypto analytics using REST APIs for on-demand data, WebSocket APIs for real-time updates, and SDK libraries for popular programming languages. Start with API documentation, obtain API keys, implement authentication, and use endpoints for prices, trading data, on-chain metrics, and analytics. Most platforms offer sandbox environments for testing.
What crypto data is available through developer APIs?
Developer APIs provide access to real-time and historical price data, trading volumes, order book data, funding rates, liquidations, on-chain metrics (transactions, active addresses, fees), token holder data, DEX analytics, derivatives data, market sentiment, and advanced analytics. Enterprise APIs offer higher rate limits, dedicated support, and custom data feeds.
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