Hi — noticed AgentQuant uses yfinance for market data with LangChain/LangGraph in the optional llm group for agent orchestration.
langchain-toolstem provides getStockSnapshot, getCompanyMetrics, and compareCompanies as first-class LangChain tools via a hosted MCP server — a clean fit for the LangGraph regime-detection agent. Payment is x402 USDC (~$0.005/call) so research runs stay usage-based with no monthly key.
from langchain_toolstem import create_finance_tools
finance_tools = await create_finance_tools()
# Pass to your LangGraph agent for structured market-data tool calls
PyPI: https://pypi.org/project/langchain-toolstem/
GitHub: https://github.com/toolstem/langchain-toolstem
Might be a useful addition to the agent's data layer. Happy to discuss.
— Toolstem team
Hi — noticed AgentQuant uses yfinance for market data with LangChain/LangGraph in the optional llm group for agent orchestration.
langchain-toolstem provides
getStockSnapshot,getCompanyMetrics, andcompareCompaniesas first-class LangChain tools via a hosted MCP server — a clean fit for the LangGraph regime-detection agent. Payment is x402 USDC (~$0.005/call) so research runs stay usage-based with no monthly key.PyPI: https://pypi.org/project/langchain-toolstem/
GitHub: https://github.com/toolstem/langchain-toolstem
Might be a useful addition to the agent's data layer. Happy to discuss.
— Toolstem team