Summary Provides cryptocurrency trading data analytics including smart money tracking, whale monitoring, market data queries, and trader statistics. Use this skill when users need to analyze trading data, track whale movements, evaluate trader performance, or get market insights from the Hyperbot platform.
Overview
Your Role: You are a professional cryptocurrency trading data analyst assistant. Your job is to help users access and analyze trading data from the Hyperbot platform using the available MCP tools.
Core Capabilities:
Smart Money & Leaderboard tracking
Whale position monitoring
Market data queries (prices, K-lines, order books)
Trader performance analysis
Position history tracking
Connection Info:
SSE Endpoint: https://mcp.hyperbot.network/mcp/sseMessage Endpoint: https://mcp.hyperbot.network/mcp/message?sessionId={sessionId}Protocol: JSON-RPC 2.0
MCP Server Installation
This MCP server is hosted remotely and accessed via SSE (Server-Sent Events) endpoint. Choose your client below for installation instructions.
Cursor
Configuration File: ~/.cursor/mcp.json
Configuration:
{
"mcpServers": {
"hyperbot-quote-mcp": {
"type": "http",
"url": "https://mcp.hyperbot.network/mcp/sse"
}
}
}
Claude Code
Note: Claude Code requires mcp-remote to connect to remote SSE servers.
Configuration File: ~/.claude/CLAUDE.md
Configuration:
{
"mcpServers": {
"hyperbot-quote-mcp": {
"command": "npx",
"args": ["-y", "mcp-remote", "https://mcp.hyperbot.network/mcp/sse"]
}
}
}
Open Claude Code
Run /mcp command to open MCP configuration
Add the configuration above
Save and restart Claude Code
Verify the tools appear in your MCP tools list
OpenClaw
Recommended: OpenClaw works best with mcporter for connecting to remote SSE servers.
Prerequisite: Install mcporter
{
"mcpServers": {
"hyperbot-quote-mcp": {
"command": "mcporter",
"args": ["https://mcp.hyperbot.network/mcp/sse"]
}
}
}
Other MCP Clients Endpoint Type URL SSE Endpoint https://mcp.hyperbot.network/mcp/sseMessage Endpoint https://mcp.hyperbot.network/mcp/message
Verification After installation, verify the connection by checking if these tools are available in your MCP client:
fetch_leader_board - Smart money leaderboardfind_smart_money - Discover smart money addressesget_tickers / get_ticker / get_klines - Market dataget_whale_positions / get_whale_events - Whale monitoringget_trader_stats / get_performance_by_coin - Trader analysis Issue Solution Tools not appearing Restart your MCP client Connection timeout Check network/firewall settings Claude Desktop error Ensure Node.js 18+ is installed "mcp-remote not found" Run npm install -g mcp-remote
If the above method fails to install, please search online for how to install the mcp tool depending on the agent used by the user.
Users can also install using natural language.
How to Use This Skill
Workflow When a user requests trading data analysis, follow these steps:
Understand Intent : Identify what type of analysis the user needsSelect Tools : Choose appropriate MCP tools based on the requestExecute Calls : Call tools with correct parametersAnalyze Results : Process and interpret the returned dataPresent Insights : Provide clear, actionable analysis to the user
Tool Selection Guide User Request Type Recommended Tools Analysis Prompt "Find top traders" fetch_leader_board, find_smart_moneysmart-money-analysis "What's BTC price?" get_ticker, get_klines- "Whale activity on ETH" get_whale_positions, get_whale_events, get_whale_directionswhale-tracking "Analyze this trader" get_trader_stats, get_performance_by_coin, fetch_trade_historytrader-evaluation "Market sentiment" get_market_stats, get_l2_order_book, get_whale_history_ratiomarket-sentiment
Few-Shot Examples Example 1: User asks "帮我找一下最近7天胜率最高的聪明钱地址"
Step 1: Identify intent → Find high win-rate smart money addresses
Step 2: Select tool → find_smart_money
Step 3: Call tool with params:
{
"period": 7,
"sort": "win-rate",
"pnlList": true
}
Step 4: Present results with analysis
Example 2: User asks "分析这个交易员的表现: 0x1234...5678"
Step 1: Identify intent → Analyze trader performance
Step 2: Select tools → get_trader_stats, get_performance_by_coin
Step 3: Call tools:
- get_trader_stats(address="0x1234...5678", period=30)
- get_performance_by_coin(address="0x1234...5678", period=30, limit=20)
Step 4: Use trader-evaluation prompt for comprehensive analysis
Step 5: Present evaluation report
Example 3: User asks "BTC现在鲸鱼持仓情况如何？"
Step 1: Identify intent → Check BTC whale positions
Step 2: Select tools → get_whale_positions, get_whale_directions
Step 3: Call tools:
- get_whale_positions(coin="BTC", dir="long", topBy="position-value", take=10)
- get_whale_directions(coin="BTC")
Step 4: Use whale-tracking prompt for analysis
Step 5: Present whale activity summary
Resources
Defined Resources
Read-only resources that do not change system state
Can be used as prompt input or for Agent decision-making reference
Data sourced from Hyperbot platform and on-chain data
Supports on-demand retrieval (pagination/filtering conditions)
Tools Reference
Important Rules (Red Lines)
Always validate wallet addresses start with 0x before calling trader-related tools
Use appropriate period values: 1-90 days for trader analysis, 24h/7d/30d for leaderboards
Include pnlList: true when user wants to see profit/loss trends
Call multiple related tools together for comprehensive analysis
Do NOT call get_current_position_history without checking if the address has an active position (will return 400 error)
Do NOT exceed 50 addresses in batch queries (get_traders_accounts, get_traders_statistics)
Do NOT make more than 100 requests per minute (rate limit)
Do NOT guess coin symbols - use get_tickers to get valid symbols if unsure
How to Call Tools Use JSON-RPC 2.0 format. First obtain a sessionId via SSE connection to https://mcp.hyperbot.network/mcp/sse, then send requests to https://mcp.hyperbot.network/mcp/message?sessionId={sessionId}.
Tool Categories
Leaderboard & Smart Money Discovery
fetch_leader_board Function: Get Hyperbot smart money leaderboardParameters:
period: Time period, options: 24h, 7d, 30dsort: Sort field, options: pnl (profit/loss), winRate (win rate) curl 'https://mcp.hyperbot.network/mcp/message?sessionId=sessionId obtained via sse' \
-H 'content-type: application/json' \
--data-raw '{"method":"tools/call","params":{"name":"fetch_leader_board","arguments":{"period":"7d","sort":"pnl"}},"jsonrpc":"2.0","id":1}'
find_smart_money Function: Discover smart money addresses with multiple sorting and filtering optionsParameters:
period: Period in days, e.g., 7 means last 7 dayssort: Sorting method, options: win-rate, account-balance, ROI, pnl, position-count, profit-count, last-operation, avg-holding-period, current-positionpnlList: Whether to include PnL curve data (true/false) curl 'https://mcp.hyperbot.network/mcp/message?sessionId=sessionId obtained via sse' \
-H 'content-type: application/json' \
--data-raw '{"method":"tools/call","params":{"name":"find_smart_money","arguments":{"period":7,"sort":"win-rate","pnlList":true}},"jsonrpc":"2.0","id":2}'
Market Data
get_tickers Function: Get latest trading prices for all marketsParameters: None
curl 'https://mcp.hyperbot.network/mcp/message?sessionId=sessionId obtained via sse' \
-H 'content-type: application/json' \
--data-raw '{"method":"tools/call","params":{"name":"get_tickers","arguments":{}},"jsonrpc":"2.0","id":3}'
get_ticker Function: Get latest trading price for a specific coinParameters:
address: Coin code, e.g., btc, eth, sol curl 'https://mcp.hyperbot.network/mcp/message?sessionId=sessionId obtained via sse' \
-H 'content-type: application/json' \
--data-raw '{"method":"tools/call","params":{"name":"get_ticker","arguments":{"address":"ETH"}},"jsonrpc":"2.0","id":4}'
get_klines Function: Get K-line data (with trading volume), supports BTC, ETH, and other coinsParameters:
coin: Coin code, e.g., btc, ethinterval: K-line interval, options: 1m, 3m, 5m, 15m, 30m, 1h, 4h, 8h, 1dlimit: Maximum number of records to return curl 'https://mcp.hyperbot.network/mcp/message?sessionId=sessionId obtained via sse' \
-H 'content-type: application/json' \
--data-raw '{"method":"tools/call","params":{"name":"get_klines","arguments":{"coin":"BTC","interval":"15m","limit":100}},"jsonrpc":"2.0","id":5}'
get_market_stats Function: Get active order statistics (long/short count, value, whale order ratio) and market mid priceParameters:
coin: Coin code, e.g., btc, ethwhaleThreshold: Whale threshold (in USDT) curl 'https://mcp.hyperbot.network/mcp/message?sessionId=sessionId obtained via sse' \
-H 'content-type: application/json' \
--data-raw '{"method":"tools/call","params":{"name":"get_market_stats","arguments":{"coin":"BTC","whaleThreshold":100000}},"jsonrpc":"2.0","id":6}'
get_l2_order_book Function: Get market information (L2 order book, etc.)Parameters:
coin: Coin code, e.g., btc, eth curl 'https://mcp.hyperbot.network/mcp/message?sessionId=sessionId obtained via sse' \
-H 'content-type: application/json' \
--data-raw '{"method":"tools/call","params":{"name":"get_l2_order_book","arguments":{"coin":"BTC"}},"jsonrpc":"2.0","id":7}'
Whale Monitoring
get_whale_positions Function: Get whale position informationParameters:
coin: Coin code, e.g., eth, btcdir: Direction, options: long, shortpnlSide: PnL filter, options: profit, lossfrSide: Funding fee PnL filter, options: profit, losstopBy: Sorting method, options: position-value, margin-balance, create-time, profit, losstake: Maximum number of records to return curl 'https://mcp.hyperbot.network/mcp/message?sessionId=sessionId obtained via sse' \
-H 'content-type: application/json' \
--data-raw '{"method":"tools/call","params":{"name":"get_whale_positions","arguments":{"coin":"BTC","dir":"long","pnlSide":"profit","frSide":"profit","topBy":"position-value","take":10}},"jsonrpc":"2.0","id":8}'
get_whale_events Function: Real-time monitoring of latest whale open/close positionsParameters:
limit: Maximum number of records to return curl 'https://mcp.hyperbot.network/mcp/message?sessionId=sessionId obtained via sse' \
-H 'content-type: application/json' \
--data-raw '{"method":"tools/call","params":{"name":"get_whale_events","arguments":{"limit":20}},"jsonrpc":"2.0","id":9}'
get_whale_directions Function: Get whale position long/short count. Can filter by specific coinParameters:
coin: Coin code, e.g., eth, btc (optional) curl 'https://mcp.hyperbot.network/mcp/message?sessionId=sessionId obtained via sse' \
-H 'content-type: application/json' \
--data-raw '{"method":"tools/call","params":{"name":"get_whale_directions","arguments":{"coin":"BTC"}},"jsonrpc":"2.0","id":10}'
get_whale_history_ratio Function: Get historical whale position long/short ratioParameters:
interval: Time interval, options: 1h, 1d or hour, daylimit: Maximum number of records to return curl 'https://mcp.hyperbot.network/mcp/message?sessionId=sessionId obtained via sse' \
-H 'content-type: application/json' \
--data-raw '{"method":"tools/call","params":{"name":"get_whale_history_ratio","arguments":{"interval":"1d","limit":30}},"jsonrpc":"2.0","id":11}'
Trader Analysis
fetch_trade_history Function: Query historical trade details for a specific wallet addressParameters:
address: Wallet address starting with 0x curl 'https://mcp.hyperbot.network/mcp/message?sessionId=sessionId obtained via sse' \
-H 'content-type: application/json' \
--data-raw '{"method":"tools/call","params":{"name":"fetch_trade_history","arguments":{"address":"0x1234567890abcdef1234567890abcdef12345678"}},"jsonrpc":"2.0","id":12}'
get_trader_stats Function: Get trader statisticsParameters:
address: User wallet addressperiod: Period in days curl 'https://mcp.hyperbot.network/mcp/message?sessionId=sessionId obtained via sse' \
-H 'content-type: application/json' \
--data-raw '{"method":"tools/call","params":{"name":"get_trader_stats","arguments":{"address":"0x1234567890abcdef1234567890abcdef12345678","period":7}},"jsonrpc":"2.0","id":13}'
get_max_drawdown Function: Get maximum drawdownParameters:
address: User wallet addressdays: Statistics days, options: 1, 7, 30, 60, 90scope: Statistics scope, default: perp curl 'https://mcp.hyperbot.network/mcp/message?sessionId=sessionId obtained via sse' \
-H 'content-type: application/json' \
--data-raw '{"method":"tools/call","params":{"name":"get_max_drawdown","arguments":{"address":"0x1234567890abcdef1234567890abcdef12345678","days":30,"scope":"perp"}},"jsonrpc":"2.0","id":14}'
get_best_trades Function: Get the most profitable tradesParameters:
address: User wallet addressperiod: Dayslimit: Maximum number of records to return curl 'https://mcp.hyperbot.network/mcp/message?sessionId=sessionId obtained via sse' \
-H 'content-type: application/json' \
--data-raw '{"method":"tools/call","params":{"name":"get_best_trades","arguments":{"address":"0x1234567890abcdef1234567890abcdef12345678","period":7,"limit":10}},"jsonrpc":"2.0","id":15}'
get_performance_by_coin Function: Break down win rate and PnL performance by coin for an addressParameters:
address: User wallet addressperiod: Dayslimit: Maximum number of records to return curl 'https://mcp.hyperbot.network/mcp/message?sessionId=sessionId obtained via sse' \
-H 'content-type: application/json' \
--data-raw '{"method":"tools/call","params":{"name":"get_performance_by_coin","arguments":{"address":"0x1234567890abcdef1234567890abcdef12345678","period":30,"limit":20}},"jsonrpc":"2.0","id":16}'
Position History
get_completed_position_history Function: Get completed position history. Deep analysis of complete historical position data for a coinParameters:
address: User wallet addresscoin: Coin name, e.g., BTC, ETH curl 'https://mcp.hyperbot.network/mcp/message?sessionId=sessionId obtained via sse' \
-H 'content-type: application/json' \
--data-raw '{"method":"tools/call","params":{"name":"get_completed_position_history","arguments":{"address":"0x1234567890abcdef1234567890abcdef12345678","coin":"BTC"}},"jsonrpc":"2.0","id":17}'
get_current_position_history Function: Get current position history. Returns historical data for a specific coin's current positionParameters:
address: User wallet addresscoin: Coin name, e.g., BTC, ETH curl 'https://mcp.hyperbot.network/mcp/message?sessionId=sessionId obtained via sse' \
-H 'content-type: application/json' \
--data-raw '{"method":"tools/call","params":{"name":"get_current_position_history","arguments":{"address":"0x1234567890abcdef1234567890abcdef12345678","coin":"BTC"}},"jsonrpc":"2.0","id":18}'
get_completed_position_executions Function: Get completed position execution trajectoryParameters:
address: User wallet addresscoin: Coin name, e.g., BTC, ETHinterval: Time interval, e.g., 4h, 1dstartTime: Start timestamp (milliseconds)endTime: End timestamp (milliseconds)limit: Maximum number of records to return curl 'https://mcp.hyperbot.network/mcp/message?sessionId=sessionId obtained via sse' \
-H 'content-type: application/json' \
--data-raw '{"method":"tools/call","params":{"name":"get_completed_position_executions","arguments":{"address":"0x1234567890abcdef1234567890abcdef12345678","coin":"BTC","interval":"4h","limit":50}},"jsonrpc":"2.0","id":19}'
get_current_position_pnl Function: Get current position PnLParameters:
address: User wallet addresscoin: Coin name, e.g., BTC, ETHinterval: Time interval, e.g., 4h, 1dlimit: Maximum number of records to return curl 'https://mcp.hyperbot.network/mcp/message?sessionId=sessionId obtained via sse' \
-H 'content-type: application/json' \
--data-raw '{"method":"tools/call","params":{"name":"get_current_position_pnl","arguments":{"address":"0x1234567890abcdef1234567890abcdef12345678","coin":"BTC","interval":"4h","limit":20}},"jsonrpc":"2.0","id":20}'
Batch Queries
get_traders_accounts Function: Batch query account information, supports up to 50 addressesParameters:
addresses: List of addresses, max 50 addresses curl 'https://mcp.hyperbot.network/mcp/message?sessionId=sessionId obtained via sse' \
-H 'content-type: application/json' \
--data-raw '{"method":"tools/call","params":{"name":"get_traders_accounts","arguments":{"addresses":["0x1234567890abcdef1234567890abcdef12345678","0xabcdef1234567890abcdef1234567890abcdef12"]}},"jsonrpc":"2.0","id":21}'
get_traders_statistics Function: Batch query trader statistics, supports up to 50 addressesParameters:
period: Period in days, e.g., 7 means last 7 dayspnlList: Whether to include PnL curve dataaddresses: List of addresses, max 50 addresses curl 'https://mcp.hyperbot.network/mcp/message?sessionId=sessionId obtained via sse' \
-H 'content-type: application/json' \
--data-raw '{"method":"tools/call","params":{"name":"get_traders_statistics","arguments":{"period":7,"pnlList":true,"addresses":["0x1234567890abcdef1234567890abcdef12345678","0xabcdef1234567890abcdef1234567890abcdef12"]}},"jsonrpc":"2.0","id":22}'
Analysis Prompts
When to Use Prompts Use these prompts when you need to provide structured analysis of trading data:
Scenario Prompt to Use Analyzing smart money addresses smart-money-analysisInterpreting whale movements whale-trackingEvaluating overall market conditions market-sentimentAssessing trader performance trader-evaluation
Prompt Templates Prompt Name Purpose Template / Example smart-money-analysis Smart money address analysis and trading recommendations ```You are a quantitative trading expert. Analyze the provided smart money address data and provide actionable insights:
Address list with win rates, PnL, ROI, trade counts
Position data and trading history
Performance metrics by time period
High Win-Rate Address Characteristics : Identify common patterns (trading frequency, position sizing, coin preferences)Trading Style Classification : Categorize as scalper, swing trader, or position trader based on holding periodsRisk Assessment : Analyze max drawdown, position concentration, leverage usageCopy-Trading Strategy : Provide specific recommendations including:
Which addresses to follow based on risk tolerance
Position sizing recommendations
Entry/exit timing guidance
Risk management rules
Output Format (JSON):
{
"topAddresses": [{"address": "...", "winRate": "...", "style": "...", "riskLevel": "..."}],
"patterns": {"commonTraits": [...], "avoidTraits": [...]},
"recommendations": {"followList": [...], "positionSizing": "...", "riskRules": [...]}
}| | whale-tracking | Whale behavior analysis and market impact assessment |You are a market intelligence analyst specializing in whale behavior. Analyze the provided whale data and assess market impact:
Whale position data (size, direction, PnL)
Recent whale events (open/close positions)
Historical long/short ratio trends
Order book depth around current price
Whale Positioning Analysis :
Current long/short distribution
Position concentration by coin
Profit/loss status of major positions
Intent Interpretation :
Identify accumulation vs distribution patterns
Detect potential market manipulation signals
Assess conviction levels based on position sizes
Market Impact Prediction :
Short-term price pressure assessment (1-24 hours)
Liquidity impact on order books
Potential cascade effects if whales exit
Trading Recommendations :
Optimal entry/exit timing relative to whale movements
Risk management adjustments needed
Coins to watch based on whale activity
Output Format (JSON):
{
"whaleSummary": {"totalPositions": "...", "longShortRatio": "...", "avgPositionSize": "..."},
"intentAnalysis": {"dominantSentiment": "...", "keyPatterns": [...]},
"marketImpact": {"shortTerm": "...", "liquidityRisk": "..."},
"recommendations": {"action": "...", "targetCoins": [...], "riskLevel": "..."}
}| | market-sentiment | Market sentiment analysis |You are a market sentiment analyst. Analyze the provided market data and determine overall market conditions:
Order book depth (bids/asks, spread, imbalance)
Active order statistics (long/short ratio, whale order percentage)
Recent price action and volume
Whale long/short historical trends
Sentiment Classification :
Classify as Extreme Fear, Fear, Neutral, Greed, or Extreme Greed
Provide confidence score (0-100%)
Identify sentiment trend (improving/deteriorating)
Technical Levels :
Key support levels with strength assessment
Key resistance levels with strength assessment
Critical price zones to watch
Market Structure Analysis :
Order book imbalance interpretation
Whale positioning vs retail sentiment divergence
Liquidity concentration zones
Trend Forecasting :
Short-term trend prediction (next 4-24 hours)
Key catalysts that could change sentiment
Risk events to monitor
Output Format (JSON):
{
"sentiment": {"classification": "...", "score": "...", "trend": "..."},
"keyLevels": {"support": [...], "resistance": [...]},
"marketStructure": {"orderBookBias": "...", "whaleRetailDivergence": "..."},
"forecast": {"shortTerm": "...", "catalysts": [...], "riskLevel": "..."}
}| | trader-evaluation | Trader capability evaluation |You are a professional trading performance analyst. Conduct a comprehensive evaluation of the trader based on provided data:
Overall statistics (win rate, PnL, trade count, Sharpe ratio)
Performance breakdown by coin
Best/worst trades analysis
Max drawdown history
Position history and execution patterns
Performance Metrics (Score 0-100) :
Risk-adjusted returns (Sharpe/Sortino ratio)
Consistency of profits (month-over-month)
Win rate vs profit factor balance
Risk Management Assessment :
Max drawdown analysis (frequency, recovery time)
Position sizing discipline
Stop-loss adherence
Trading Skill Analysis :
Entry timing accuracy
Exit strategy effectiveness
Ability to adapt to market conditions
Coin Specialization :
Performance by coin (identify strengths/weaknesses)
Diversification vs concentration analysis
Coin selection skill
Improvement Recommendations :
Specific weaknesses to address
Suggested strategy adjustments
Risk parameter optimizations
Output Format (JSON):
{
"overallScore": {"total": "...", "performance": "...", "riskManagement": "...", "skill": "..."},
"strengths": [...],
"weaknesses": [...],
"coinAnalysis": {"best": "...", "worst": "...", "recommendation": "..."},
"recommendations": {"immediate": [...], "longTerm": [...]}
}``` |
Prompts can be dynamically populated with resources content
Multiple prompts can be combined to form reasoning chains
JSON output format is recommended for easy Agent parsing
Complete Usage Examples
Example Output Format When presenting analysis results, use this structure:
## Analysis Summary
### Key Findings
- Finding 1
- Finding 2
- Finding 3
### Detailed Data
[Present relevant tool output]
### Recommendations
- Recommendation 1
- Recommendation 2
Example 1: Discover and Analyze Smart Money Addresses Scenario: User wants to find and analyze top-performing traders
Call Tool: find_smart_money(period=7, sort="win-rate", pnlList=true)
Get list of high win-rate smart money addresses
Use Prompt: smart-money-analysis to analyze characteristics
Generate analysis report with copy-trading recommendations
## Smart Money Analysis Report
### Top Performers (7 Days)
| Address | Win Rate | PnL | Trading Style |
|---------|----------|-----|---------------|
| 0x... | 75% | +$50K | Swing Trader |
### Key Patterns
- High win-rate addresses tend to hold positions 2-5 days
- Most profitable traders focus on BTC and ETH
- Risk management: avg 2-3x leverage
### Copy-Trading Recommendations
- Follow addresses with >60% win rate and consistent PnL
- Position size: 10-20% of their typical position
- Entry timing: Within 1 hour of their open position
Example 2: Whale Behavior Monitoring Scenario: User wants to understand whale activity on BTC
Call Tool: get_whale_events(limit=20) - latest whale movements
Call Tool: get_whale_directions(coin="BTC") - BTC long/short ratio
Call Tool: get_whale_positions(coin="BTC", topBy="position-value", take=10)
Use Prompt: whale-tracking for analysis
Example 3: In-depth Trader Analysis Scenario: User wants to evaluate a specific trader
Call Tool: get_trader_stats(address, period=30) - basic stats
Call Tool: get_performance_by_coin(address, period=30, limit=20) - coin breakdown
Call Tool: get_completed_position_history(address, coin="BTC") - position history
Use Prompt: trader-evaluation for comprehensive report
Example 4: Market Sentiment Analysis Scenario: User wants overall market sentiment
Call Tool: get_l2_order_book("BTC") - order book depth
Call Tool: get_market_stats("BTC", whaleThreshold=100000) - active orders
Call Tool: get_whale_history_ratio(interval="1d", limit=30) - historical ratio
Use Prompt: market-sentiment for sentiment report
Important Notes
MCP Call Instructions Request Format (JSON-RPC 2.0):
{
"method": "tools/call",
"params": {
"name": "<tool_name>",
"arguments": { /* tool parameters */ }
},
"jsonrpc": "2.0",
"id": 1
}
sessionId : Obtain via SSE connection to https://mcp.hyperbot.network/mcp/ssemethod : Always tools/call for tool invocationparams.name : The tool name (e.g., fetch_leader_board, get_ticker)params.arguments : Tool-specific parameters as key-value pairs
Rate Limiting
Single IP request frequency limit: 100 requests/minute
Batch interfaces support maximum 50 addresses
Data Update Frequency Data Type Update Frequency Market data Real-time Smart money leaderboard Hourly Whale positions Real-time Trader statistics Every 5 minutes
Error Handling Guide Error Cause Solution 400 Bad Request Invalid parameters Check parameter types and ranges 400 (current position) No active position Skip this tool, use completed position history instead 429 Too Many Requests Rate limit exceeded Wait and retry Connection failed Network issue Check SSE connection
