Workflow Templates

📊 WEEX Spot Market Quant AI Agent (All-in-One Multi-Agent Trading System) ⚡ Overview This multi-agent n8n workflow delivers an automated, intelligent trading analysis system for the WEEX Spot Market. It uses GPT-4o to interpret user prompts, route them to the correct sub-agent tools, analyze technical indicators, price data, sentiment insights, and return concise trading signals via Telegram or downstream automations. No need to download additional workflows—everything is embedded in this single orchestrated agent. 🧠 Core Features 🔹 Single-entry architecture → Built-in orchestration logic with no external subworkflow dependencies 🔹 Multi-timeframe indicator analysis → 15m, 1h, 4h, and 1d 🔹 Sentiment + news insights from crypto sources 🔹 Live price, volume, kline, and order book analysis 🔹 LLM-powered signal evaluation using GPT-4o 🔹 Telegram integration for fast human queries or autonomous alerts 🤖 Built-In Agent Modules | Module | Description | | ----------------------------------- | ---------------------------------------------------------- | | ✅ Financial Analyst Tool | Routes prompts, interprets tokens, and triggers sub-agents | | ✅ News & Sentiment Analyst Tool | Gathers real-time sentiment from crypto news sources | | ✅ Technical Indicator Tools | 15m, 1h, 4h, 1d indicators using WEEX spot market data | | ✅ Price & Order Book Agent | Fetches real-time stats, price, and structure | | ✅ Trading Signal Evaluator | GPT-4o merges all data and generates trading decision | 🖥️ Prompt Flow Example User Input: “Should I long or short ETH on WEEX today?” → Financial Analyst Agent interprets the query → Fetches multi-timeframe indicators, live price, sentiment → GPT-4o evaluates conditions and creates recommendation → Output delivered via Telegram: 📈 ETH/USDT Overview • Price: \$3,710 • 4h RSI: 64.5 – Slightly Overbought • MACD: Bullish Crossover • Market Sentiment: 🔼 Positive Recommendation: Consider long entry with stop at \$3,640. 🔧 Setup Instructions Follow these steps to fully deploy and operate the WEEX Quant AI Agent in your n8n environment: 🟢 Get Telegram Bot API Key Create your bot via @BotFather on Telegram Save the token it gives you (format: 123456789:ABCdefGHIjkLMNopQRStuvWXyz) 🔑 Add OpenAI / DeepSeek Chat API Key Compatible with GPT-4o (OpenAI) or DeepSeek Chat 📈 (Optional) WEEX API Keys If expanding to live trading or authenticated data, get a WEEX Spot API key from your account dashboard Not required for the analysis agent to function 🔗 Connect Telegram to n8n Use Telegram Trigger and Telegram node with your API key Ensure webhook is set correctly (or use polling mode) ✅ Example Use Cases | Scenario | Outcome | | ---------------------------------- | ----------------------------------------------------- | | “Is BTC bullish or bearish?” | Merged indicator + sentiment + price analysis summary | | “Get 15m and 4h trends for SOL” | Multi-timeframe volatility vs macro trend report | | “Latest crypto news on XRP” | Real-time filtered news + DeepSeek sentiment summary | | “What’s the order book structure?” | Level-by-level spread analysis with buy/sell volumes | 🎥 Watch the Live Demo 👨‍💼 Licensing & Support 🧾 © 2025 Treasurium Capital Limited Company Architecture, prompts, and trade signal framework are IP-protected. No unauthorized rebranding or replication permitted. 📩 Connect with the Creator Don Jayamaha – LinkedIn Profile

How it Works This workflow lets you build a Messenger AI Agent capable of understanding text, images, and voice notes, and replying intelligently in real time. It starts by receiving messages from a Facebook Page via a Webhook, detects the message type (text, image, or audio), and routes it through the right branch. Each input is then prepared as a prompt and sent to an AI Agent that can respond using text generation, perform quick calculations, or fetch information from Wikipedia. Finally, the answer is formatted and sent back to Messenger via the Graph API, creating a smooth, fully automated chat experience. Set Up Steps Connect credentials Add your OpenAI API key and Facebook Page Access Token in n8n credentials. Plug the webhook Copy the Messenger webhook URL from your workflow and paste it into your Facebook Page Developer settings (Webhook → Messages → Subscribe). Customize the agent Edit the System Message of the AI Agent to define tone, temperature, and purpose (e.g. “customer support”, “math assistant”). Enable memory & tools Turn on Simple Memory to keep conversation context and activate tools like Calculator or Wikipedia. Test & deploy Switch to production mode, test text, image, and voice messages directly from Messenger. Benefits 💬 Multi-modal Understanding — Handles text, images, and audio messages seamlessly. ⚙️ Full Automation — End-to-end workflow from Messenger to AI and back. 🧠 Smart Replies — Uses OpenAI + Wikipedia + Calculator for context-aware answers. 🚀 No-Code Setup — Build your first Messenger AI in less than 30 minutes. 🔗 Extensible — Easily connect more tools or APIs like Airtable, Google Sheets, or Notion.

📌 How it works This workflow turns voice or text messages from Telegram into structured tasks in Notion, using AI-powered intent detection and task generation. It supports: 🆕 Task creation ✏️ Task updates (like changing priority, title, or deadline) 🧠 Task analysis (e.g., workload, goal alignment, emotional fatigue) The assistant uses OpenAI to: Detect intent (create, update, or analyze) Extract or update task fields (title, priority, due date, etc.) Auto-format list-style descriptions with bullet points Detect relevant tags like health, money, sport, etc. ⚙️ Setup steps Clone the GitHub repo or import the .json into n8n manually. Configure: OpenAI credentials Telegram Bot Token Notion credentials Use Telegram to send messages like: “Create a task to call mom tomorrow” “Update the grocery task to add milk” “Am I overbooked today?”

AI Recommender: From Food Photo to Restaurant and Book (Google Books Integrated) What it does Analyzes a food photo with an AI vision model to extract dish name + category Searches nearby restaurants with Google Places and selects the single best (rating → reviews tie-break) Finds a matching book via Google Books and posts a tidy summary to Slack Who it’s for Foodies, bloggers, and teams who want a plug-and-play flow that turns a single food photo into a dining pick + themed reading. How it works Google Drive Trigger detects a new photo Dish Classifier (Vision LLM) → JSON (dish_name, category, basic macros) Search Google Places near your origin; Select Best Place (AI) Recommend Book (AI) → Search Google Books → format details Post to Slack (JP/EN both possible) Requirements Google Drive / Google Places / Google Books credentials, LLM access (OpenRouter/OpenAI), Slack OAuth. Customize Edit origin/radius in Set Origin & Radius, tweak category→keyword mapping in Normalize Classification, adjust Slack channel & message in Post to Slack.

How it works • Webhook receives lead form submissions from your website • AI Agent (GPT-4o) analyzes lead quality using intelligent scoring framework • Clearbit enriches company data automatically (employee count, industry, revenue) • Qualification score (0-100) determines routing: high-quality leads → HubSpot CRM + Slack alert, low-quality leads → Airtable for manual review • Structured output parser ensures reliable JSON formatting every time Set up steps • Time to set up: 15-20 minutes • Import the Clearbit sub-workflow first (separate workflow file included) • Create 7 custom properties in HubSpot (qualification_score, buying_intent, urgency_level, budget_indicator, ai_summary, pain_points, recommended_action) • Create Airtable base with 14 columns for low-quality lead tracking • Get Slack channel IDs for sales alerts and review requests • Add credentials: OpenAI (GPT-4o), Clearbit API, HubSpot OAuth2, Slack OAuth2, Airtable Token • Replace placeholder IDs in Slack and Airtable nodes • Configure the Clearbit Enrichment Tool node with your sub-workflow ID What you'll need • OpenAI API - OpenAI model access for AI qualification • Clearbit API - Free tier available for company enrichment • HubSpot - Free CRM account works • Slack - Standard workspace • Airtable - Free plan works • Website form - To send webhook data Who this is for Sales teams and agencies that want to automatically qualify inbound leads before they hit the CRM. Perfect for B2B companies with high lead volume that need intelligent routing.

Revolut Extracts Analyzer This n8n template processes Revolut statements, normalizes transactions, and uses AI to categorize expenses automatically. Use cases include detecting subscriptions, separating internal transfers, and building dashboards to track spending. How it works Get Categories from Supabase** Download & Transform** Loop Over Items** LLM Categorizer** Insert into Supabase** How to use Start with the manual trigger node or replace it with a schedule/webhook. Connect Google Drive to provide Revolut CSV files. Ensure Supabase has tables for transactions and categories. Extend with notifications, reports, or BI tools. Requirements Google Drive for CSV files Supabase tables for categories & transactions LLM provider (OpenAI/Gemini)

Who’s it for Influencers and social-media teams who want to comment automatically on posts from selected Instagram profiles—scaling engagement while staying within platform limits. How it works / What it does Schedule Trigger runs every 2 h. Profile Post Extractor fetches up to 20 posts per profile from your CSV. Select Cookie rotates Instagram session-cookies. Get Random Post selects one. Create Comment (GPT-4o) writes ≤150-character reply in your chosen language. Builds instagram_post_to_comment.csv, uploads to SharePoint. Phantombuster Autocomment Agent posts it. Logged in instagram_posts_already_commented.csv to prevent repeats. How to set up Same as the auto-liker, but also add instagram_posts_already_commented.csv (header postUrl). Define tracked profiles in profiles_instagram.csv. Configure comment prompt & language in Set ENV Variables. Profile CSV format Your profiles_instagram.csv must contain a header profileUrl and valid Instagram profile URLs. Example: profileUrl https://www.instagram.com/brand_account/ https://www.instagram.com/influencer123/

How it works This workflow creates a complete AI-powered restaurant ordering system through WhatsApp. It receives customer messages, processes multimedia content (text, voice, images, PDFs, location), uses GPT-4 to understand customer intent and manage conversations, handles the complete ordering flow from menu selection to payment verification, and sends formatted orders to restaurant staff. The system maintains conversation memory, verifies payment receipts using OCR, and provides automated responses in multiple languages. Who's it for Restaurant owners, food delivery services, and hospitality businesses looking to automate customer service and order management through WhatsApp without hiring additional staff. Requirements WhatsApp Business API account OpenAI API key (GPT-4/GPT-4o access recommended) Supabase account (for conversation memory and vector storage) Google Drive account (for menu images and QR codes) Google Maps API key (for location services) Gemini API key (for PDF processing) How to set up Configure credentials - Add your WhatsApp Business API, OpenAI, Supabase, Google Drive, and Gemini API credentials to n8n Update phone numbers - Replace [PHONE_NUMBER] placeholders with your actual restaurant and staff phone numbers Customize restaurant details - Replace [RESTAURANT_NAME], [RESTAURANT_OWNER_NAME], and [BANK_ACCOUNT_NUMBER] with your information Upload menu images - Add your menu images to Google Drive and update the file IDs Set up Supabase - Create tables for chat memory and upload your menu/restaurant information to the vector database Configure AI prompts - Update the restaurant information in the AI agent system messages Test the workflow - Send test messages to verify all integrations work How to customize the workflow Menu management**: Update Google Drive file IDs to display your current menu images Payment verification**: Modify the receipt analysis logic to match your bank's receipt format Order formatting**: Customize the order confirmation template sent to kitchen staff AI personality**: Adjust the restaurant agent's tone and responses in the system prompts Languages**: The AI supports multiple languages - customize welcome messages for your target market Business hours**: Add time-based logic to handle orders outside operating hours Delivery zones**: Integrate with your delivery area logic using the location processing features

Coinbase AI Agent instantly fetches real-time market data directly in Telegram! This workflow integrates the Coinbase REST API with Telegram (plus optional AI-powered formatting) to deliver the latest crypto price, order book, candles, and trade stats in seconds. Perfect for crypto traders, analysts, and investors who want actionable market data at their fingertips—without API keys. How It Works A Telegram bot listens for user requests (e.g., BTC-USD). The workflow calls Coinbase public endpoints (no key required) to fetch real-time data: Latest price (ticker) 24h stats (open, high, low, close, volume) Order book snapshots (best bid/ask + depth) Candlestick data (OHLCV for multiple intervals) Recent trades (executed orders) A Calculator node derives useful values like mid-price and spread. An AI or “Think” node reshapes JSON into clear, human-readable messages. A splitter ensures long messages are broken into safe Telegram chunks. The final market insights are sent instantly back to Telegram. What You Can Do with This Agent This Telegram bot gives you: ✅ Get instant price & 24h stats for any Coinbase spot pair. ✅ Monitor live order books with top bids/asks. ✅ Analyze candle data (e.g., 15m, 1h, 4h, 1d). ✅ Track recent trades to see market activity. ✅ Receive clean, structured reports—optionally AI-enhanced. Set Up Steps Create a Telegram Bot Use @BotFather on Telegram to create your bot and get an API token. Configure in n8n Import the provided workflow JSON. Add your Telegram credentials (bot token + your Telegram ID for authentication). (Optional) Add an OpenAI key if you want AI-enhanced formatting. Deploy and Test Send a query like BTC-USD to your bot. Instantly receive Coinbase spot data in Telegram! 🚀 Unlock powerful, real-time Coinbase market insights directly in Telegram—no Coinbase API key required! 📺 Setup Video Tutorial Watch the full setup guide on YouTube: 🧾 Licensing & Attribution © 2025 Treasurium Capital Limited Company Architecture, prompts, and trade report structure are IP-protected. No unauthorized rebranding or resale permitted. 🔗 For support: LinkedIn – Don Jayamaha

Instantly access Upbit Spot Market Data in Telegram with AI Automation This workflow integrates the Upbit REST API with GPT-4o-mini and Telegram, giving you real-time price data, order books, trades, and candles directly in chat. Perfect for crypto traders, market analysts, and investors who want structured Upbit data at their fingertips—no manual API calls required. ⚙️ How It Works A Telegram bot listens for user queries like upbit KRW-BTC 15m. The Upbit AI Agent parses the request and fetches live data from the official Upbit REST API: Price & 24h stats (/v1/ticker) Order book depth & best bid/ask (/v1/orderbook) Recent trades (/v1/trades/ticks) Dynamic OHLCV candles across all timeframes (/v1/candles/{seconds|minutes|days|weeks|months|years}) A built-in Calculator tool computes spreads, % change, and midpoints. A Think module reshapes raw JSON into simplified, clean fields. The agent formats results into concise, structured text and sends them back via Telegram. 📊 What You Can Do with This Agent ✅ Get real-time prices and 24h change for any Upbit trading pair. ✅ View order book depth and best bid/ask snapshots. ✅ Fetch multi-timeframe OHLCV candles (from 1s to 1y). ✅ Track recent trades with price, volume, side, and timestamp. ✅ Calculate midpoints, spreads, and percentage changes. ✅ Receive clean, human-readable reports in Telegram—no JSON parsing needed. 🛠 Set Up Steps Create a Telegram Bot Use @BotFather and save your bot token. Configure Telegram API and OpenAI in n8n Add your bot token under Telegram credentials. Replace your Telegram ID in the authentication node to restrict access. Import the Workflow Load Upbit AI Agent v1.02.json into n8n. Ensure connections to tools (Ticker, Orderbook, Trades, Klines). Deploy and Test Example query: upbit KRW-BTC 15m → returns price, order book, candles, and trades. Example query: upbit USDT-ETH trades 50 → returns 50 latest trades. 📺 Setup Video Tutorial Watch the full setup guide on YouTube: ⚡ Unlock clean, structured Upbit Spot Market data instantly—directly in Telegram! 🧾 Licensing & Attribution © 2025 Treasurium Capital Limited Company Architecture, prompts, and trade report structure are IP-protected. No unauthorized rebranding permitted. 🔗 For support: Don Jayamaha – LinkedIn

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. Results are sent back to Telegram in structured, readable reports. ✅ What You Can Do with This Agent Get latest prices & 24h stats for any spot pair. Retrieve order book depth (customizable levels). Monitor best bid/ask quotes for spreads. View candlestick OHLCV data for multiple timeframes. Check recent trades (up to 100). Receive clean Telegram reports — no raw JSON. 🛠️ Setup Steps Create a Telegram Bot Use @BotFather to create a bot and copy its API token. Configure in n8n Import MEXC AI Agent v1.02.json. Update the User Authentication node with your Telegram ID. Add Telegram API credentials (bot token). Add OpenAI API key (Optional) Add MEXC API key Deploy & Test Activate the workflow in n8n. Send a query like BTCUSDT to your bot. Instantly receive structured MEXC Spot Market data in Telegram. 📤 Output Rules Output grouped into Price, 24h Stats, Order Book, Candlesticks, Trades. No raw JSON — formatted summaries only. Complies with Telegram’s 4000-character message limit (auto-split). 📺 Setup Video Tutorial Watch the full setup guide on YouTube: ⚡ Unlock real-time MEXC Spot Market insights in Telegram — clean, fast, and API-key free. 🧾 Licensing & Attribution © 2025 Treasurium Capital Limited Company Architecture, prompts, and trade report structure are IP-protected. No unauthorized rebranding permitted. 🔗 For support: Don Jayamaha – LinkedIn

This workflow introduces beginners to one of the most fundamental concepts in n8n: looping over items. Using a simple use case—generating LinkedIn captions for content ideas—it demonstrates how to split a dataset into individual items, process them with AI, and collect the output for review or export. ✅ Key Features 🧪 Create Dummy Data**: Simulate a small dataset of content ideas. 🔁 Loop Over Items**: Process each row independently using the SplitInBatches node. 🧠 AI Caption Creation**: Automatically generate LinkedIn captions using OpenAI. 🧰 Tool Integration**: Enhance AI output with creativity-injection tools. 🧾 Final Output Set**: Collect the original idea and generated caption. 🧰 What You’ll Need ✅ An OpenAI API key ✅ The LangChain nodes enabled in your n8n instance ✅ Basic knowledge of how to trigger and run workflows in n8n 🔧 Step-by-Step Setup 1️⃣ Run Workflow Node**: Manual Trigger (Run Workflow) Purpose**: Manually start the workflow for testing or learning. 2️⃣ Create Random Data Node**: Create Random Data (Code) What it does**: Simulates incoming data with multiple content ideas. Code**: return [ { json: { row_number: 2, id: 1, Date: '2025-07-30', idea: 'n8n rises to the top', caption: '', complete: '' } }, { json: { row_number: 3, id: 2, Date: '2025-07-31', idea: 'n8n nodes', caption: '', complete: '' } }, { json: { row_number: 4, id: 3, Date: '2025-08-01', idea: 'n8n use cases for marketing', caption: '', complete: '' } } ]; 3️⃣ Loop Over Items Node**: Loop Over Items (SplitInBatches) Purpose**: Sends one record at a time to the next node. Why It Matters**: Loops in n8n are created using this node when you want to iterate over multiple items. 4️⃣ Create Captions with AI Node**: Create Captions (LangChain Agent) Prompt**: idea: {{ $json.idea }} System Message**: You are a helpful assistant creating captions for a LinkedIn post. Please create a LinkedIn caption for the idea. Model**: GPT-4o Mini or GPT-3.5 Credentials Required**: OpenAI Credential Go to: OpenAI API Keys Create a key and add it in n8n under credentials as “OpenAi account” 5️⃣ Inject Creativity (Optional) Node**: Tool: Inject Creativity (LangChain Tool) Purpose**: Demonstrates optional LangChain tools that can enhance or manipulate input/output. Why It’s Cool**: A great way to show chaining tools to AI agents. 6️⃣ Output Table Node**: Output Table (Set) Purpose**: Combines original ideas and generated captions into final structure. Fields**: idea: ={{ $('Create Random Data').item.json.idea }} output: ={{ $json.output }} 💡 Educational Value This workflow demonstrates: Creating dynamic inputs with the Code node Using SplitInBatches to simulate looping Sending dynamic prompts to an AI model Using Set to structure the output data Beginners will understand how item-level processing works in n8n and how powerful looping combined with AI can be. 📬 Need Help or Want to Customize This? Robert Breen Automation Consultant | AI Workflow Designer | n8n Expert 📧 robert@ynteractive.com 🌐 ynteractive.com 🔗 LinkedIn 🏷️ Tags n8n loops OpenAI LangChain workflow training beginner LinkedIn automation caption generator