This article provides a complete, practical walkthrough of the Stickynote Executeworkflow Automation Webhook n8n agent. It connects HTTP Request, Webhook across approximately 1 node(s). Expect a Intermediate setup in 15-45 minutes. One‑time purchase: €29.

What This Agent Does

This agent orchestrates a reliable automation between HTTP Request, Webhook, handling triggers, data enrichment, and delivery with guardrails for errors and rate limits.

It streamlines multi‑step processes that would otherwise require manual exports, spreadsheet cleanup, and repeated API requests. By centralizing logic in n8n, it reduces context switching, lowers error rates, and ensures consistent results across teams.

Typical outcomes include faster lead handoffs, automated notifications, accurate data synchronization, and better visibility via execution logs and optional Slack/Email alerts.

How It Works

The workflow uses standard n8n building blocks like Webhook or Schedule triggers, HTTP Request for API calls, and control nodes (IF, Merge, Set) to validate inputs, branch on conditions, and format outputs. Retries and timeouts improve resilience, while credentials keep secrets safe.

Third‑Party Integrations

• HTTP Request
• Webhook

Import and Use in n8n

1. Open n8n and create a new workflow or collection.
2. Choose Import from File or Paste JSON.
3. Paste the JSON below, then click Import.
4. Show n8n JSON

   Title:  
   OpenSea Analytics Agent: Automating NFT Market Intelligence with n8n & OpenAI
   
   Meta Description:  
   Explore the OpenSea Analytics Agent, an AI-powered workflow built on n8n that leverages OpenAI and OpenSea’s API to deliver real-time NFT market insights, transaction analysis, and collection statistics with automated precision.
   
   Keywords:  
   OpenSea, NFTs, n8n, workflow automation, OpenAI, GPT-4o, NFT analytics, crypto collectibles, Web3 automation, NFT market data, blockchain events, wallet transactions, AI agent, OpenSea API, NFT sales tracker
   
   Third-Party APIs Used:
   1. OpenSea API (https://api.opensea.io)
   2. OpenAI API (via GPT-4o mini)
   
   —
   
   Article:
   
   🚀 Supercharging NFT Analytics: OpenSea Analytics Agent Powered by n8n & OpenAI
   
   As the NFT market continues to evolve, collectors, investors, and builders need better tooling to keep pace with real-time data, track market trends, and discover insights across collections and wallet activity. That’s where the OpenSea Analytics Agent comes in—a robust, automated solution powered by n8n and enhanced with AI capabilities from OpenAI.
   
   This powerful workflow enables users to perform advanced analytics on NFT data with ease, fetching insights from OpenSea and making them digestible through conversational AI. Below, we explore how this agent works, what it offers, and how it automates complex queries via a simple, dynamic interface.
   
   ⚙️ What Is the OpenSea Analytics Agent?
   
   Built on the n8n automation platform, the OpenSea Analytics Agent is an advanced AI-driven system designed for one purpose: transforming raw NFT data into actionable intelligence. It empowers Web3 users with real-time analytics by interfacing directly with OpenSea’s suite of APIs.
   
   This agent is more than just an API wrapper—it incorporates a conversational brain, memory buffer, and sophisticated error handling to allow users to query everything from collection stats to individual token histories in natural language.
   
   The key technologies at play include:
   
   - **n8n**: An open-source automation tool that powers the workflow structure and orchestration.
   - **OpenAI (GPT-4o mini)**: Processes natural language prompts, interprets queries, and returns human-readable output.
   - **OpenSea API**: Provides real-time data on NFT collections, wallet activity, and events like sales, bids, listings, and transfers.
   
   🎯 Core Features
   
   This agent doesn’t just fetch data—it empowers users to interact with the vast OpenSea dataset intuitively. Here's a rundown of what the workflow offers:
   
   1. 📊 Collection Statistics  
      - Floor price, total volume, number of sales, average price, owners, and market cap.
      - Example: “Get stats for the Bored Ape Yacht Club collection.”
   
   2. 🔍 NFT Event Filtering
      - Fetch sales, transfers, listings, or redemptions within a specific timeframe.
      - Example: “Show me all NFT sales in the last 24 hours.”
   
   3. 🧾 Wallet Activity Tracker
      - Monitor all transfers, bids, and sales related to a specific Ethereum wallet.
      - Example: “Show all NFT-related activities for wallet 0x123...abc.”
   
   4. 🧬 NFT-Specific Historical Tracking
      - Retrieve the full event history of an individual NFT by providing contract address, token ID, and chain.
      - Example: “Track past 5 transactions for CryptoPunk #9999.”
   
   5. 📈 Real-time OpenSea Market Trends
      - Identify hot trends, top-performing collections, and notable wallet behaviors.
   
   ⚡ Workflow Components Explained
   
   The OpenSea Analytics Agent is made up of multiple interconnected nodes in n8n. Each node serves a distinct function:
   
   - 🧠 Analytics Agent Brain: Uses GPT-4o mini from OpenAI to parse user input and generate appropriate API requests.
   - 🧠 Memory Buffer: Maintains session memory, allowing for multi-step conversations and follow-ups.
   - 🔌 Collection & Event API Tools: Includes dedicated endpoints for collections, wallets, individual NFTs, and events (e.g., OpenSea Get Collection Stats, Get Events by Account, Get Events by Collection, etc.).
   - 🔐 Secure HTTP Authentication: Ensures secure communication with OpenSea using an API key via HTTP header.
   
   Each of these nodes works together to turn user inputs like “what’s the floor price for Azuki NFTs?” into structured OpenSea API requests—returning instant, relevant answers.
   
   ✅ Compliance & Safe Querying
   
   The workflow goes beyond traditional API querying by embedding intelligent validation and documentation. For instance:
   
   - Users are warned that “polygon” must be replaced with “matic” for compatibility.
   - Only supported blockchains (e.g., Ethereum, Arbitrum, Solana) are allowed.
   - The AI prevents malformed queries and diagnoses error responses intelligently (e.g., 404 = invalid collection slug, 500 = server issue).
   
   📌 Example Use Cases
   
   - An NFT collector wants to validate the current value of NFTs they own.
   - An investor tracks the trading activity of a specific wallet.
   - A project founder monitors floor price and market cap evolution.
   - A developer integrates NFT sales monitoring into an app dashboard.
   
   All this can be done just by running the workflow and typing in plain English prompts.
   
   🚨 Error Handling & Troubleshooting Built-In
   
   Even the best systems hit snags—but this agent is designed to help users recover gracefully. It includes error alerts for:
   
   - ❌ 400: Bad Requests (invalid inputs like wrong slugs or blockchains).
   - ❌ 404: Not Found (misspelled contracts, unknown NFTs).
   - ❌ 500: Server issues on OpenSea’s side.
   
   Troubleshooting tips are embedded directly in the workflow, streamlining debugging.
   
   📈 Why This Matters
   
   As Web3 data continues to grow more complex and fragmented, staying ahead means having the right tools for automation, intelligence, and scale. The OpenSea Analytics Agent gives users a natural-language layer over raw blockchain data—making it easier to explore, monitor, and act on market trends.
   
   Whether you’re flipping NFTs, building on-chain dashboards, or conducting market research, this workflow removes the technical barrier and delivers insights instantly.
   
   🔗 Ready to Use It?
   
   This project showcases the future of tooling for digital assets: AI-powered, workflow-automated, developer-friendly, and accessible to everyone. It’s ready to be expanded, customized, and integrated into broader systems—from Telegram bots and analytics dashboards to data pipelines and trading bots.
   
   For support or custom integrations, feel free to connect with the workflow’s creator, Don Jayamaha, on [LinkedIn](http://linkedin.com/in/donjayamahajr).
   
   —
   
   Final Thoughts
   
   The OpenSea Analytics Agent is a testament to what’s possible when AI meets automation in the Web3 space. It doesn’t just save time—it democratizes access to insights that were once only available to developers or analysts.
   
   With n8n handling the backend and OpenAI handling the brains, the future of NFT analytics is not only bright—it’s intelligent, accessible, and highly scalable.

5. Set credentials for each API node (keys, OAuth) in Credentials.
6. Run a test via Execute Workflow. Inspect Run Data, then adjust parameters.
7. Enable the workflow to run on schedule, webhook, or triggers as configured.

Tips: keep secrets in credentials, add retries and timeouts on HTTP nodes, implement error notifications, and paginate large API fetches.

Validation: use IF/Code nodes to sanitize inputs and guard against empty payloads.

Why Automate This with AI Agents

AI‑assisted automations offload repetitive, error‑prone tasks to a predictable workflow. Instead of manual copy‑paste and ad‑hoc scripts, your team gets a governed pipeline with versioned state, auditability, and observable runs.

n8n’s node graph makes data flow transparent while AI‑powered enrichment (classification, extraction, summarization) boosts throughput and consistency. Teams reclaim time, reduce operational costs, and standardize best practices without sacrificing flexibility.

Compared to one‑off integrations, an AI agent is easier to extend: swap APIs, add filters, or bolt on notifications without rewriting everything. You get reliability, control, and a faster path from idea to production.

Best Practices

• Credentials: restrict scopes and rotate tokens regularly.
• Resilience: configure retries, timeouts, and backoff for API nodes.
• Data Quality: validate inputs; normalize fields early to reduce downstream branching.
• Performance: batch records and paginate for large datasets.
• Observability: add failure alerts (Email/Slack) and persistent logs for auditing.
• Security: avoid sensitive data in logs; use environment variables and n8n credentials.

FAQs

Can I swap integrations later? Yes. Replace or add nodes and re‑map fields without rebuilding the whole flow.

How do I monitor failures? Use Execution logs and add notifications on the Error Trigger path.

Does it scale? Use queues, batching, and sub‑workflows to split responsibilities and control load.

Is my data safe? Keep secrets in Credentials, restrict token scopes, and review access logs.