Access live KuCoin Spot Market data instantly in Telegram! This workflow integrates the KuCoin REST API with Telegram and an optional GPT-4.1-mini formatter, delivering real-time insights like latest prices, 24h stats, order book depth, trades, and candlesticks — all structured into clean Telegram messages. 🔎 How It Works A Telegram Trigger listens for user commands. User Authentication validates the Telegram ID against an allowlist. A SessionId is generated from the chat ID to support memory across turns. The KuCoin AI Agent orchestrates API requests: 24h Stats → /api/v1/market/stats?symbol=BTC-USDT Order Book Depth → /api/v1/market/orderbook/level2_100?symbol=BTC-USDT Latest Price → /api/v1/market/orderbook/level1?symbol=BTC-USDT Best Bid/Ask → /api/v1/market/orderbook/level1?symbol=BTC-USDT Klines (Candles) → /api/v1/market/candles?symbol=BTC-USDT&type=15min&limit=20 Recent Trades → /api/v1/market/histories?symbol=BTC-USDT Average Price (via Ticker) → /api/v1/market/orderbook/level1?symbol=BTC-USDT Utility Tools process results: Calculator → spreads, % changes, averages. Think → reshapes JSON, selects fields, formats outputs.
Tags
CalculatorCCode
OpenAI Chat ModelSSimple Memory
TelegramRelated workflows
See all AI Automation→
Handle WhatsApp customer service chats with Google Gemini and Google Sheets
Quick Overview This workflow handles WhatsApp customer service via OpenWA, using Google Gemini and a Google Sheets knowledge base to answer personal chats, while routing conversations to a human queue in Google Sheets when escalation is needed. How it works Triggers on OpenWA WhatsApp events and ignores message reactions except for specific ✅/☑ reactions used to re-enable AI handling. Normalizes incoming event fields and processes only personal chats (IDs ending with @c.us) that are not sent by your own WhatsApp account. Checks a Google Sheets “Session Chat” list to decide whether the conversation is currently handled by a human, and only continues to AI when no active human session is found. Uses a Google Gemini chat model with short-term memory and a Google Sheets “Database Company” tool to draft a friendly Indonesian response based only on the sheet data. If the AI response does not contain the #admin escalation token, it sends the reply back to the customer via OpenWA. If the AI response contains #admin, it appends the chat to the Google Sheets “Session Chat” sheet to flag it for human follow-up. When a ✅/☑ reaction is received for a chat, it finds and deletes the corresponding
SAI 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.
SAI 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.