Analyze crypto markets with the AI-powered CoinMarketCap data analyst
Needs changesWhat this workflow does
This AI workflow has 9 nodes and runs on Telegram events (message). Along the way it connects Telegram and OpenAI Chat Model.
How it runs
Trigger: On Telegram events (message).
- Adds SessionId (Edit Fields (Set)): sets 1 field: sessionId
- CoinMarketCap AI Data Analyst Agent (AI Agent): runs an AI agent, with model: CoinMarketCap Agent Brain; 3 tools (CoinMarketCap Crypto Agent Tool, CoinMarketCap DEXScan Agent Tool, CoinMarketCap Exchange and Community Agent Tool); memory: CoinMarketCap Memory
- Telegram: uses Telegram
Services it uses
Before you upgrade to n8n 3.0
1 thing in this workflow is removed in n8n 3.0. Fix it before you upgrade:
- AI Agent v1 (old agent modes) in CoinMarketCap AI Data Analyst Agent (v1.7): replace with Latest AI Agent node (Tools Agent). For SQL Agent, use a Postgres or MySQL tool with a recent AI Agent.
Rather not rewrite it? Many of these flows can be rebuilt in Make (free plan).
| Removed in 3.0 | Replace with |
|---|---|
| AI Agent v1 (old agent modes) CoinMarketCap AI Data Analyst Agent (v1.7) | Latest AI Agent node (Tools Agent). For SQL Agent, use a Postgres or MySQL tool with a recent AI Agent. |
Nodes used (7)
- Telegram
n8n-nodes-base.telegram - Edit Fields (Set)
n8n-nodes-base.set - AI Agent
@n8n/n8n-nodes-langchain.agent - OpenAI Chat Model
@n8n/n8n-nodes-langchain.lmChatOpenAi - Simple Memory
@n8n/n8n-nodes-langchain.memoryBufferWindow - Call n8n Workflow Tool
@n8n/n8n-nodes-langchain.toolWorkflow - Telegram Trigger
n8n-nodes-base.telegramTrigger
From the author
Meet your AI-powered crypto data analyst—fully integrated with CoinMarketCap APIs. This workflow acts as the supervisor agent for a multi-agent architecture built in n8n, connecting three powerful sub-agents to extract real-time insights from centralized and…