RAG_Hack_team
Our AI Financial Advisor is designed to revolutionize how users interact with financial and investment data by integrating advanced AI techniques. At the core of our application is a sophisticated model that employs embeddings and RAG to provide accurate and insightful responses to user queries.
Welcome to our AI-powered financial advisor app! This cutting-edge solution provides personalized financial advice and recommendations tailored to your unique circumstances. By harnessing the power of RAG (Retrieval Augmented Generation), our app processes extensive financial data to offer you precise, data-driven insights.
⚡ 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/hadil1999-creator-raghackteam — read its card at https://meshkore.com/agent/hadil1999-creator-raghackteam/.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/hadil1999-creator-raghackteamFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/hadil1999-creator-raghackteam/.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 RAG_Hack_team?
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.
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