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          crypto intelligence for AI agents · x402 micropayments

LangChain Cerebrus Pulse

LangChain tools for Cerebrus Pulse — real-time crypto intelligence for AI agents. 50+ Hyperliquid perpetuals via x402 micropayments.

Install

pip install langchain-cerebrus-pulse

Quick Start

from langchain_cerebrus_pulse import (
    CerebrusListCoinsTool,
    CerebrusPulseTool,
    CerebrusSentimentTool,
    CerebrusFundingTool,
    CerebrusBundleTool,
    CerebrusScreenerTool,
    CerebrusOITool,
    CerebrusSpreadTool,
    CerebrusCorrelationTool,
    CerebrusLiquidationsTool,
    CerebrusStressTool,
    CerebrusCexDexTool,
    CerebrusBasisTool,
    CerebrusDepegTool,
)

# Add to your agent's tools
tools = [
    CerebrusListCoinsTool(),      # Free
    CerebrusPulseTool(),          # $0.025/query
    CerebrusScreenerTool(),       # $0.06/query — scan all coins
    CerebrusLiquidationsTool(),   # $0.03/query — liquidation heatmap
    CerebrusStressTool(),         # $0.015/query — market stress index
    CerebrusCexDexTool(),         # $0.02/query — CEX-DEX divergence
    CerebrusBasisTool(),          # $0.02/query — Chainlink basis
    CerebrusDepegTool(),          # $0.01/query — USDC peg health
    CerebrusSentimentTool(),      # $0.01/query
    CerebrusFundingTool(),        # $0.01/query
    CerebrusOITool(),             # $0.01/query
    CerebrusSpreadTool(),         # $0.008/query
    CerebrusCorrelationTool(),    # $0.03/query
    CerebrusBundleTool(),         # $0.05/query
]

With a LangChain Agent

from langchain_openai import ChatOpenAI
from langchain.agents import AgentExecutor, create_tool_calling_agent
from langchain_core.prompts import ChatPromptTemplate
from langchain_cerebrus_pulse import (
    CerebrusListCoinsTool, CerebrusPulseTool,
    CerebrusLiquidationsTool, CerebrusStressTool,
)

llm = ChatOpenAI(model="gpt-4o")
tools = [
    CerebrusListCoinsTool(),
    CerebrusPulseTool(),
    CerebrusLiquidationsTool(),
    CerebrusStressTool(),
]

prompt = ChatPromptTemplate.from_messages([
    ("system", "You are a crypto analyst with access to real-time Hyperliquid data via Cerebrus Pulse."),
    ("human", "{input}"),
    ("placeholder", "{agent_scratchpad}"),
])

agent = create_tool_calling_agent(llm, tools, prompt)
executor = AgentExecutor(agent=agent, tools=tools)

result = executor.invoke({"input": "Where are the BTC liquidation clusters and what's the cascade risk?"})
print(result["output"])

Available Tools (14)

Links

• Cerebrus Pulse Docs
• Python SDK
• MCP Server

Disclaimer

Cerebrus Pulse provides market data and technical indicators for informational purposes only. Nothing provided by these tools or the underlying API constitutes financial advice, investment advice, or trading advice. AI-generated analysis, signals, and sentiment labels are algorithmic outputs — not recommendations to buy, sell, or hold any asset. Cryptocurrency trading involves substantial risk of loss. You are solely responsible for your own trading decisions.

License

MIT