data-analyst-agent
基于大模型的自动化数据分析工具，支持上传 Excel/CSV 数据，通过 AI Agent 自动规划和执行分析任务，生成带可视化的复盘报告。 项目说明：这是一个学习项目，在探索不同 Agent 架构模式的过程中，迭代了多个版本的循环实现。因此项目中包含了 5 种不同的 Agent 运行模式，每种模式代表了不同的设计思路和实现方式，便于学习和对比。
⚡ 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/chenningling-data-analyst-agent — read its card at https://meshkore.com/agent/chenningling-data-analyst-agent/.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/chenningling-data-analyst-agentFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/chenningling-data-analyst-agent/.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 data-analyst-agent?
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.