AI-Powered Virtual Economy Price Tracker
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Leverage the power of AI to automate and analyze price fluctuations within virtual economies. This n8n workflow integrates advanced language models and vector databases to provide real-time insights and intelligent responses.
About This Workflow
The Virtual Economy Price Tracker is an intelligent automation workflow designed to monitor and analyze pricing trends in dynamic virtual markets. It begins by capturing data via a webhook, then intelligently splits and embeds this information using powerful AI models. This processed data is stored in a vector database (Pinecone) for efficient retrieval. An AI agent, powered by a language model and with memory capabilities, queries this database to understand price shifts and provide context. Finally, all actions and insights are logged to a Google Sheet for comprehensive record-keeping and analysis. This workflow empowers users to make informed decisions based on real-time market intelligence.
Key Features
- Real-time Data Ingestion: Capture pricing data automatically through a dedicated webhook.
- AI-Powered Analysis: Utilize language models and embeddings for intelligent data processing and understanding.
- Vector Database Integration: Efficiently store and query vast amounts of pricing data using Pinecone.
- Conversational Agent: Interact with an AI agent that can answer questions based on tracked data.
- Automated Logging: Maintain a complete history of price changes and AI interactions in a Google Sheet.
How To Use
- Configure Webhook: Set up the
Webhooknode to receive incoming price data. - Process Data: The
Splitternode breaks down incoming data, andEmbeddingsnode converts it into machine-readable vectors using Cohere. - Store Data: The
Insertnode pushes the vectorized data into a Pinecone index named 'virtual_economy_price_tracker'. - Query Data: The
Querynode retrieves relevant data from Pinecone based on input. - Utilize AI Agent: The
Toolnode connects the vector store to theAgentnode, which uses a HuggingFace language model (Chat) andMemoryto process queries and formulate responses. - Log Activity: The
Sheetnode appends all workflow actions and agent responses to a Google Sheet for auditing and analysis.
Apps Used
Workflow JSON
{
"id": "8d3e626c-c4f1-4890-9a37-b12f7fa32a66",
"name": "AI-Powered Virtual Economy Price Tracker",
"nodes": 9,
"category": "Marketing",
"status": "active",
"version": "1.0.0"
}Note: This is a sample preview. The full workflow JSON contains node configurations, credentials placeholders, and execution logic.
Get This Workflow
ID: 8d3e626c-c4f1...
About the Author
DevOps_Master_X
Infrastructure Expert
Specializing in CI/CD pipelines, Docker, and Kubernetes automations.
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