Get real-time MEXC Spot Market data instantly in Telegram! This workflow connects the MEXC REST v3 API with Telegram and optional GPT-4.1-mini formatting, providing users with latest prices, 24h stats, order book depth, trades, and candlesticks in structured, Telegram-ready messages. 🔎 How It Works A Telegram Trigger node listens for commands. User Authentication ensures only authorized Telegram IDs can access the bot. A Session ID is generated from chat.id for lightweight memory. The MEXC AI Agent coordinates multiple API calls via HTTP nodes: Ticker (Latest Price) → /api/v3/ticker/price?symbol=BTCUSDT 24h Stats → /api/v3/ticker/24hr?symbol=BTCUSDT Order Book Depth → /api/v3/depth?symbol=BTCUSDT&limit=50 Best Bid/Ask Snapshot → /api/v3/ticker/bookTicker?symbol=BTCUSDT Candlesticks (Klines) → /api/v3/klines?symbol=BTCUSDT&interval=15m&limit=200 Recent Trades → /api/v3/trades?symbol=BTCUSDT&limit=100 Utility Nodes refine the data: Calculator → spreads, averages, mid-prices. Think → formats raw JSON into human-readable summaries. Simple Memory → saves symbol, sessionId, and context across turns. Message Splitter prevents Telegram messages from exceeding 4000 characters.
Tags
Related workflows
See all AI Automation→AI agent chat
This workflow employs OpenAI's language models and SerpAPI to create a responsive, intelligent conversational agent. It comes equipped with manual chat triggers and memory buffer capabilities to ensure seamless interactions. To use this template, you need to be on n8n version 1.50.0 or later.
AI chatbot that can search the web
This workflow is designed for dynamic and intelligent conversational capabilities. It incorporates OpenAI's GPT-4o model for natural language understanding and generation. Additional tools include SerpAPI and Wikipedia for enriched, data-driven responses. The workflow is triggered manually, and utilizes a 'Window Buffer Memory' to maintain the context of the last 20 interactions for better conversational continuity. All these components are orchestrated through n8n nodes, ensuring seamless interconnectivity. To use this template, you need to be on n8n version 1.50.0 or later.
Slack chatbot powered by AI
This workflow offers an effective way to handle a chatbot's functionality, making use of multiple tools for information retrieval, conversation context storage, and message sending. It's a setup tailored for a Slack environment, aiming to offer an interactive, AI-driven chatbot experience. Note that to use this template, you need to be on n8n version 1.19.4 or later.