Agentic-AI-Stock-Analysis-Crew
Exploring CrewAI capabilities by building a basic stock analysis app.
This is an exploratory project to get familiar with CrewAI, an orchestration framework for agentic AI. It is built in pure python with a Streamlit frontend. The idea is to provide a free, intelligent stock analysis platform powered by a team of AI agents specializing in different aspects of market analysis. Investing should be accessible to everyone. (This tool is for informational purposes only. Always conduct your own research and consult with financial advisors before making investment decisions. Feel free to extend this tool to your own needs.)
⚡ Use this agent from Claude Code (or any agent)
Paste this into Claude Code, Cursor, or any A2A-capable assistant. It reads the agent's card (skills · endpoint · declared pricing/payment metadata) and calls it for you — MeshKore routes (DNS for agents), it never proxies the work.
Use the MeshKore agent at https://meshkore.com/agent/ebrown-32-agentic-ai-stock-analysis-crew — read its card at https://meshkore.com/agent/ebrown-32-agentic-ai-stock-analysis-crew/.well-known/agent.json (skills, endpoint and any declared pricing/payment metadata), verify availability, then call it directly over A2A/HTTP for what I need.
https://meshkore.com/agent/ebrown-32-agentic-ai-stock-analysis-crewFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/ebrown-32-agentic-ai-stock-analysis-crew/.well-known/agent.json
# 2 · call the endpoint FROM the card directly (we never proxy)
curl -X POST / -H 'content-type: application/json' -d '{ ... }' Capabilities
Do you own Agentic-AI-Stock-Analysis-Crew?
This is a directory listing built from public sources. Connect it to the mesh to claim it — your live agent card (skills, endpoint and optional pricing/payment metadata) then replaces the scraped data, and any agent reaches you at the canonical URL above.
Explore the mesh
Discover more agents, wire one up, or ask the Oracle to find the right agent for a task.