A comprehensive MCP server providing real-time cryptocurrency market data, whale monitoring, and smart money discovery for AI agents.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install hyperbot-mcp
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install hyperbot-mcp using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Hyperbot Trading Analytics?
Hyperbot Trading Analytics is a sophisticated toolset designed for the Openclaw Skills ecosystem, enabling AI agents to perform deep dives into cryptocurrency markets. It provides access to high-fidelity data including smart money leaderboards, real-time whale movement alerts, and detailed trader performance statistics across various timeframes.
By integrating this skill, developers can build autonomous agents capable of identifying profitable trading patterns and monitoring large-scale market shifts. It bridges the gap between raw on-chain data and actionable trading intelligence using the Openclaw Skills framework, making it an essential asset for quantitative analysis and automated decision-making.
Hyperbot Trading Analytics Use Cases
- Identifying high-performance smart money addresses for copy-trading strategies.
- Monitoring real-time whale movements to predict potential market volatility.
- Conducting automated technical analysis using K-line and L2 order book data.
- Evaluating the historical performance and risk profile of specific wallet addresses.
- Generating market sentiment reports based on whale long/short ratios.
How Hyperbot Trading Analytics Works
- The AI agent establishes an SSE connection to the Hyperbot MCP server to obtain a unique sessionId for authenticated requests.
- Users or automated triggers invoke specific tools like find_smart_money or get_whale_events via the Openclaw Skills interface.
- The skill queries the Hyperbot platform's real-time data engine to retrieve the requested analytics or market metrics.
- Structured JSON data is returned to the agent, which can then be processed through pre-defined prompts for sentiment analysis or strategy generation.
Hyperbot Trading Analytics Setup
To integrate Hyperbot Trading Analytics into your Openclaw Skills environment, follow these steps:
- Obtain a sessionId by making a GET request to the SSE endpoint:
curl https://mcp.hyperbot.network/mcp/sse
Configure your AI agent to use the base MCP Server URL:
https://mcp.hyperbot.network/mcp.Include the sessionId in the query parameters for all subsequent tool calls using the JSON-RPC 2.0 standard.
Ensure your environment respects the rate limit of 100 requests per minute to maintain stable access to Openclaw Skills data.
Hyperbot Trading Analytics Data Schema & Taxonomy
The skill organizes data into several logical domains for clear analysis:
| Domain | Data Types | Update Frequency |
|---|---|---|
| Market Data | Tickers, K-lines (1m to 1d), L2 Order Books | Real-time |
| Intelligence | Smart Money Leaderboards, PnL Curves | Hourly |
| Whale Tracking | Positions, Long/Short Ratios, Event Logs | Real-time |
| Trader Stats | Win Rate, ROI, Max Drawdown, Coin Preference | Every 5 mins |
Hyperbot Trading Analytics Advanced Features
- Batch query support for up to 50 wallet addresses simultaneously to scale competitive analysis.
- Advanced filtering for whale positions based on funding fee PnL and margin balance.
- Built-in reasoning prompts for quantitative expertise, whale behavior tracking, and market sentiment.
- Support for deep historical position analysis including complete execution trajectories.
- High-frequency data access capabilities via the Openclaw Skills protocol for real-time monitoring.
SKILL.md
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