Back to Catalog

Real-time OKX spot market data with GPT-4o & Telegram

Don Jayamaha JrDon Jayamaha Jr
424 views
2/3/2026
Official Page

Instantly access live OKX Spot Market data directly in Telegram!

This workflow integrates the OKX REST v5 API with Telegram and optional GPT-4.1-mini formatting, delivering real-time insights such as latest prices, order book depth, candlesticks, trades, and mark prices β€” all in clean, structured reports.


πŸ”Ž How It Works

  1. A Telegram Trigger node listens for incoming user commands.

  2. The User Authentication node validates the Telegram ID to allow only authorized users.

  3. The workflow creates a Session ID from chat.id to manage session memory.

  4. The OKX AI Agent orchestrates data retrieval via HTTP requests to OKX endpoints:

    • Latest Price (/api/v5/market/ticker?instId=BTC-USDT)
    • 24h Stats (/api/v5/market/ticker?instId=BTC-USDT)
    • Order Book Depth (/api/v5/market/books?instId=BTC-USDT&sz=50)
    • Best Bid/Ask (book ticker snapshot)
    • Candlesticks / Klines (/api/v5/market/candles?instId=BTC-USDT&bar=15m)
    • Average / Mark Price (/api/v5/market/mark-price?instType=SPOT&instId=BTC-USDT)
    • Recent Trades (/api/v5/market/trades?instId=BTC-USDT&limit=100)
  5. Utility tools refine the data:

    • Calculator β†’ spreads, % change, normalized volumes.
    • Think β†’ reshapes raw JSON into clean text.
    • Simple Memory β†’ stores sessionId, symbol, and state for multi-turn interactions.
  6. A message splitter ensures Telegram output stays under 4000 characters.

  7. Final results are sent to Telegram in structured, human-readable format.


βœ… What You Can Do with This Agent

  • Get latest price and 24h stats for any Spot instrument.
  • Retrieve order book depth with configurable size (up to 400 levels).
  • View best bid/ask snapshots instantly.
  • Fetch candlestick OHLCV data across intervals (1m β†’ 1M).
  • Monitor recent trades (up to 100).
  • Check the mark price as a fair average reference.
  • Receive clean, Telegram-ready reports (auto-split if too long).

πŸ› οΈ Setup Steps

  1. Create a Telegram Bot

  2. Configure in n8n

    • Import OKX AI Agent v1.02.json.
    • Replace the placeholder in User Authentication node with your Telegram ID.
    • Add Telegram API credentials (bot token).
    • Add your OpenAI API key for GPT-4.1-mini.
  1. Deploy and Test

    • Activate the workflow in n8n.
    • Send a query like BTC-USDT to your bot.
    • Instantly get structured OKX Spot data back in Telegram.

πŸ“Ί Setup Video Tutorial

Watch the full setup guide on YouTube:

Watch on YouTube


⚑ Unlock real-time OKX Spot Market insights directly in Telegram β€” no private API keys required!


🧾 Licensing & Attribution

Β© 2025 Treasurium Capital Limited Company Architecture, prompts, and trade report structure are IP-protected.

No unauthorized rebranding permitted.

πŸ”— For support: Don Jayamaha – LinkedIn

Real-time OKX Spot Market Data with GPT-4o & Telegram

This n8n workflow provides a powerful, interactive way to get real-time OKX spot market data and engage with it using an AI agent (GPT-4o) via Telegram. It allows users to query market information, perform calculations, and receive intelligent responses directly within their Telegram chat.

What it does

This workflow automates the following steps:

  1. Listens for Telegram Messages: It acts as a Telegram bot, waiting for incoming messages from users.
  2. Initializes AI Agent: When a message is received, it sets up an AI agent powered by OpenAI's GPT-4o model.
  3. Configures AI Memory: It incorporates a simple memory buffer to maintain conversational context during interactions.
  4. Provides AI Tools: The AI agent is equipped with a "Calculator" tool for mathematical operations and a "Think" tool for internal reasoning and planning.
  5. Processes User Queries: The AI agent processes the user's Telegram message, leveraging its tools and memory to understand the intent and formulate a response.
  6. Formats AI Response: The AI's response is then prepared for sending back to the user.
  7. Sends Telegram Reply: The formatted AI response is sent back to the user's Telegram chat.

Prerequisites/Requirements

To use this workflow, you will need:

  • n8n Instance: A running instance of n8n.
  • Telegram Bot Token: A Telegram bot created via BotFather. You will need its API token.
  • OpenAI API Key: An API key for OpenAI (specifically for the GPT-4o model).
  • LangChain Nodes: Ensure the @n8n/n8n-nodes-langchain package is installed in your n8n instance.

Setup/Usage

  1. Import the Workflow: Import the provided JSON into your n8n instance.
  2. Configure Telegram Trigger:
    • Open the "Telegram Trigger" node.
    • Add your Telegram Bot API Token credential.
    • Save and activate the workflow.
  3. Configure OpenAI Chat Model:
    • Open the "OpenAI Chat Model" node.
    • Add your OpenAI API Key credential.
    • Ensure the model is set to gpt-4o (or your preferred compatible model).
  4. Activate the Workflow: Toggle the workflow to "Active" in n8n.
  5. Interact via Telegram: Send messages to your configured Telegram bot. The AI agent will respond based on your queries, using its tools and memory. For example, you can ask it to perform calculations or answer general knowledge questions.

Related Templates

Auto-create TikTok videos with VEED.io AI avatars, ElevenLabs & GPT-4

πŸ’₯ Viral TikTok Video Machine: Auto-Create Videos with Your AI Avatar --- 🎯 Who is this for? This workflow is for content creators, marketers, and agencies who want to use Veed.io’s AI avatar technology to produce short, engaging TikTok videos automatically. It’s ideal for creators who want to appear on camera without recording themselves, and for teams managing multiple brands who need to generate videos at scale. --- βš™οΈ What problem this workflow solves Manually creating videos for TikTok can take hours β€” finding trends, writing scripts, recording, and editing. By combining Veed.io, ElevenLabs, and GPT-4, this workflow transforms a simple Telegram input into a ready-to-post TikTok video featuring your AI avatar powered by Veed.io β€” speaking naturally with your cloned voice. --- πŸš€ What this workflow does This automation links Veed.io’s video-generation API with multiple AI tools: Analyzes TikTok trends via Perplexity AI Writes a 10-second viral script using GPT-4 Generates your voiceover via ElevenLabs Uses Veed.io (Fabric 1.0 via FAL.ai) to animate your avatar and sync the lips to the voice Creates an engaging caption + hashtags for TikTok virality Publishes the video automatically via Blotato TikTok API Logs all results to Google Sheets for tracking --- 🧩 Setup Telegram Bot Create your bot via @BotFather Configure it as the trigger for sending your photo and theme Connect Veed.io Create an account on Veed.io Get your FAL.ai API key (Veed Fabric 1.0 model) Use HTTPS image/audio URLs compatible with Veed Fabric Other APIs Add Perplexity, ElevenLabs, and Blotato TikTok keys Connect your Google Sheet for logging results --- πŸ› οΈ How to customize this workflow Change your Avatar: Upload a new image through Telegram, and Veed.io will generate a new talking version automatically. Modify the Script Style: Adjust the GPT prompt for tone (educational, funny, storytelling). Adjust Voice Tone: Tweak ElevenLabs stability and similarity settings. Expand Platforms: Add Instagram, YouTube Shorts, or X (Twitter) posting nodes. Track Performance: Customize your Google Sheet to measure your most successful Veed.io-based videos. --- 🧠 Expected Outcome In just a few seconds after sending your photo and theme, this workflow β€” powered by Veed.io β€” creates a fully automated TikTok video featuring your AI avatar with natural lip-sync and voice. The result is a continuous stream of viral short videos, made without cameras, editing, or effort. --- βœ… Import the JSON file in n8n, add your API keys (including Veed.io via FAL.ai), and start generating viral TikTok videos starring your AI avatar today! πŸŽ₯ Watch This Tutorial --- πŸ“„ Documentation: Notion Guide Need help customizing? Contact me for consulting and support : Linkedin / Youtube

Dr. FirasBy Dr. Firas
39510

Automate invoice processing with OCR, GPT-4 & Salesforce opportunity creation

PDF Invoice Extractor (AI) End-to-end pipeline: Watch Drive ➜ Download PDF ➜ OCR text ➜ AI normalize to JSON ➜ Upsert Buyer (Account) ➜ Create Opportunity ➜ Map Products ➜ Create OLI via Composite API ➜ Archive to OneDrive. --- Node by node (what it does & key setup) 1) Google Drive Trigger Purpose: Fire when a new file appears in a specific Google Drive folder. Key settings: Event: fileCreated Folder ID: google drive folder id Polling: everyMinute Creds: googleDriveOAuth2Api Output: Metadata { id, name, ... } for the new file. --- 2) Download File From Google Purpose: Get the file binary for processing and archiving. Key settings: Operation: download File ID: ={{ $json.id }} Creds: googleDriveOAuth2Api Output: Binary (default key: data) and original metadata. --- 3) Extract from File Purpose: Extract text from PDF (OCR as needed) for AI parsing. Key settings: Operation: pdf OCR: enable for scanned PDFs (in options) Output: JSON with OCR text at {{ $json.text }}. --- 4) Message a model (AI JSON Extractor) Purpose: Convert OCR text into strict normalized JSON array (invoice schema). Key settings: Node: @n8n/n8n-nodes-langchain.openAi Model: gpt-4.1 (or gpt-4.1-mini) Message role: system (the strict prompt; references {{ $json.text }}) jsonOutput: true Creds: openAiApi Output (per item): $.message.content β†’ the parsed JSON (ensure it’s an array). --- 5) Create or update an account (Salesforce) Purpose: Upsert Buyer as Account using an external ID. Key settings: Resource: account Operation: upsert External Id Field: taxid_c External Id Value: ={{ $json.message.content.buyer.tax_id }} Name: ={{ $json.message.content.buyer.name }} Creds: salesforceOAuth2Api Output: Account record (captures Id) for downstream Opportunity. --- 6) Create an opportunity (Salesforce) Purpose: Create Opportunity linked to the Buyer (Account). Key settings: Resource: opportunity Name: ={{ $('Message a model').item.json.message.content.invoice.code }} Close Date: ={{ $('Message a model').item.json.message.content.invoice.issue_date }} Stage: Closed Won Amount: ={{ $('Message a model').item.json.message.content.summary.grand_total }} AccountId: ={{ $json.id }} (from Upsert Account output) Creds: salesforceOAuth2Api Output: Opportunity Id for OLI creation. --- 7) Build SOQL (Code / JS) Purpose: Collect unique product codes from AI JSON and build a SOQL query for PricebookEntry by Pricebook2Id. Key settings: pricebook2Id (hardcoded in script): e.g., 01sxxxxxxxxxxxxxxx Source lines: $('Message a model').first().json.message.content.products Output: { soql, codes } --- 8) Query PricebookEntries (Salesforce) Purpose: Fetch PricebookEntry.Id for each Product2.ProductCode. Key settings: Resource: search Query: ={{ $json.soql }} Creds: salesforceOAuth2Api Output: Items with Id, Product2.ProductCode (used for mapping). --- 9) Code in JavaScript (Build OLI payloads) Purpose: Join lines with PBE results and Opportunity Id ➜ build OpportunityLineItem payloads. Inputs: OpportunityId: ={{ $('Create an opportunity').first().json.id }} Lines: ={{ $('Message a model').first().json.message.content.products }} PBE rows: from previous node items Output: { body: { allOrNone:false, records:[{ OpportunityLineItem... }] } } Notes: Converts discount_total ➜ per-unit if needed (currently commented for standard pricing). Throws on missing PBE mapping or empty lines. --- 10) Create Opportunity Line Items (HTTP Request) Purpose: Bulk create OLIs via Salesforce Composite API. Key settings: Method: POST URL: https://<your-instance>.my.salesforce.com/services/data/v65.0/composite/sobjects Auth: salesforceOAuth2Api (predefined credential) Body (JSON): ={{ $json.body }} Output: Composite API results (per-record statuses). --- 11) Update File to One Drive Purpose: Archive the original PDF in OneDrive. Key settings: Operation: upload File Name: ={{ $json.name }} Parent Folder ID: onedrive folder id Binary Data: true (from the Download node) Creds: microsoftOneDriveOAuth2Api Output: Uploaded file metadata. --- Data flow (wiring) Google Drive Trigger β†’ Download File From Google Download File From Google β†’ Extract from File β†’ Update File to One Drive Extract from File β†’ Message a model Message a model β†’ Create or update an account Create or update an account β†’ Create an opportunity Create an opportunity β†’ Build SOQL Build SOQL β†’ Query PricebookEntries Query PricebookEntries β†’ Code in JavaScript Code in JavaScript β†’ Create Opportunity Line Items --- Quick setup checklist πŸ” Credentials: Connect Google Drive, OneDrive, Salesforce, OpenAI. πŸ“‚ IDs: Drive Folder ID (watch) OneDrive Parent Folder ID (archive) Salesforce Pricebook2Id (in the JS SOQL builder) 🧠 AI Prompt: Use the strict system prompt; jsonOutput = true. 🧾 Field mappings: Buyer tax id/name β†’ Account upsert fields Invoice code/date/amount β†’ Opportunity fields Product name must equal your Product2.ProductCode in SF. βœ… Test: Drop a sample PDF β†’ verify: AI returns array JSON only Account/Opportunity created OLI records created PDF archived to OneDrive --- Notes & best practices If PDFs are scans, enable OCR in Extract from File. If AI returns non-JSON, keep β€œReturn only a JSON array” as the last line of the prompt and keep jsonOutput enabled. Consider adding validation on parsing.warnings to gate Salesforce writes. For discounts/taxes in OLI: Standard OLI fields don’t support per-line discount amounts directly; model them in UnitPrice or custom fields. Replace the Composite API URL with your org’s domain or use the Salesforce node’s Bulk Upsert for simplicity.

Le NguyenBy Le Nguyen
942

Automated weekly security audit reports with Gmail delivery

πŸ”’ N8N Security Audit Report - Automated Weekly Email 🎯 What does this workflow do? This workflow automatically generates and emails a comprehensive security audit report for your N8N instance every week. It identifies potential security risks related to: Credentials πŸ”‘ : Exposed or insecure credentials Nodes 🧩 : Sensitive nodes (Code, HTTP Request, SSH, FTP, etc.) Instance settings 🏒 : Global security configuration Community nodes πŸ“¦ : Third-party nodes that may pose risks The report includes direct links to affected workflows, execution statuses, and actionable recommendations. --- ✨ Key Features πŸ“Š Smart Risk Assessment Calculates overall risk level: 🟩 Low / 🟧 Moderate / πŸŸ₯ High Tracks unique credentials (not just total occurrences) Provides detailed breakdown by node type πŸ”— Direct Workflow Links Clickable links to each workflow mentioned Shows last execution status (🟒 success / πŸ”΄ failed) Displays execution timestamps 🌍 Bilingual Support Full support for French and English Switch language with a single variable πŸ“§ Beautiful HTML Email Clean, professional formatting Color-coded risk levels Emoji icons for easy scanning --- πŸš€ Quick Setup (5 minutes) 1️⃣ Configure Credentials N8N API: Generate an API key in your N8N settings Gmail OAuth2: Set up OAuth2 for Gmail sending 2️⃣ Set Your Variables Edit the "Set Config Variables" node: javascript { "email_to": "your.email@domain.com", "project_name": "My-N8N-Project", "server_url": "https://n8n.yourdomain.com", // NO trailing slash! "Language": "EN" // or "FR" } 3️⃣ Test & Activate Click "Execute Workflow" to test Check your email inbox Activate for weekly automation --- πŸ“§ Example Report Output Subject: πŸ”’ Audit Report My-Project – Risk 🟧 Moderate Content: πŸ“Š Summary β€’ Credentials involved: 8 (5 unique) β€’ Nodes involved: 12 πŸ’» code: 4 🌐 httpRequest: 3 πŸ” ssh: 2 β€’ Community nodes: 1 β€’ Overall risk level: 🟧 Moderate πŸ” Credentials Risk Report πŸ”Ή Credentials with full access πŸ”‘ My AWS Credentials πŸ”‘ Database Admin πŸ“‹ Workflow: Data Processing Pipeline 🟒 (25-10-2024 06:15 β†’ 06:16) πŸ’» Process Data 🌐 API Call 🧩 Nodes Risk Report [...detailed node analysis...] --- 🎨 Customization Options Change Schedule Modify the "Schedule Trigger" node to run: Daily at 8 AM Monthly on the 1st Custom cron expression Add Recipients Add multiple emails in the Gmail node's toList parameter Adjust Risk Thresholds Edit the JavaScript in "Format Audit Report" nodes to customize when risk levels change Use Different Email Service Replace Gmail node with: SMTP Microsoft Outlook SendGrid Any email service N8N supports --- πŸ’‘ Use Cases βœ… Compliance Monitoring: Track security posture for audits βœ… Team Awareness: Keep your team informed of security status βœ… Change Detection: Notice when new risky nodes are added βœ… Best Practices: Get recommendations to improve security βœ… Multi-Environment: Run separate instances for dev/staging/prod --- πŸ”§ Technical Details Nodes Used: 8 Credentials Required: 2 (N8N API + Gmail OAuth2) External Dependencies: None N8N Version: Compatible with latest N8N versions Execution Time: ~10-20 seconds --- πŸ“‹ Requirements N8N instance with API access Gmail account (or other email service) N8N API key with audit permissions Valid SSL certificate for workflow links (recommended) --- πŸ› Troubleshooting Empty report? β†’ Check your N8N API key has audit permissions Workflow links don't work? β†’ Verify server_url is correct and has no trailing slash No execution status shown? β†’ Workflows must have been executed at least once Wrong language displayed? β†’ Set Language to exactly "FR" or "EN" (uppercase) --- 🌟 Why This Template? Unlike basic monitoring tools, this workflow: βœ… Provides context-aware security analysis βœ… Links directly to affected workflows βœ… Shows real execution data (not just theoretical risks) βœ… Calculates unique credential exposure (not just counts) βœ… Supports bilingual reports βœ… Delivers actionable recommendations --- 🀝 Feedback & Support Found this helpful? Please rate the template! Have suggestions? Drop a comment below. Pro tip: Combine this with N8N's native alerting for real-time incident response! --- Tags: security audit monitoring compliance automation email reporting credentials governance --- πŸ“œ License MIT - Feel free to modify and share!

MatthieuBy Matthieu
389