chrome extension backend with AI

Automated workflow for Chrome Extension backend that analyzes stock or cryptocurrency charts using AI. Triggered by webhooks, it provides novice traders with simplified insights based on technical indicators, ensuring clear communication while emphasizing that the analysis is not binding advice. Integrates seamlessly with LangChain and responds instantly to user requests.

7/8/2025
5 nodes
Simple
webhooksimplelangchainrespondtowebhooksticky noteintegrationapi
Categories:
Simple WorkflowWebhook Triggered
Integrations:
LangChainRespondToWebhookSticky Note

Target Audience

This workflow is ideal for:
- Novice Traders: Individuals looking to gain insights into stock or cryptocurrency markets without extensive knowledge of technical analysis.
- Financial Analysts: Professionals who want to automate their analysis process and provide quick insights to clients or stakeholders.
- Developers: Those interested in integrating AI with financial data for automated reporting and analysis.
- Businesses: Companies seeking to enhance their customer service by providing automated financial insights through chat interfaces or applications.

Problem Solved

This workflow addresses the challenge of providing accessible financial analysis to novice traders and individuals who may not understand complex technical indicators. By automating the analysis process through AI, it ensures that users receive clear and simplified insights into market movements, thereby reducing the risk of misunderstanding and making informed decisions.

Workflow Steps

  • Webhook Trigger: The workflow starts when a POST request is received at the specified webhook URL. This request can contain data such as stock or cryptocurrency charts in base64 format.
    2. AI Analysis: Once triggered, the workflow sends the received chart data to the OpenAI node. The AI uses a prompt designed for financial analysis, focusing on providing insights in simple language for novice traders.
    3. Response Handling: After the AI processes the data, the results are sent to the Respond to Webhook node, where the content is formatted as a text response.
    4. User Notification: The final output is sent back to the original requester, providing them with the AI's analysis of the market conditions based on the input data.
    5. Sticky Notes: Throughout the workflow, sticky notes are included for documentation and clarity, detailing the purpose of the workflow and the AI prompt used.

    • Customization Guide

    Users can customize this workflow by:
    - Modifying the AI Prompt: Change the text in the OpenAI node to adjust the analysis focus or language style according to target audience preferences.
    - Adjusting Webhook Parameters: Users can edit the webhook path and HTTP method to suit their application needs.
    - Changing Response Format: The response in the Respond to Webhook node can be altered to return data in different formats (e.g., JSON) or include additional information.
    - Integrating Additional Nodes: Users can add more nodes for further processing, such as data storage, notifications, or integrations with other services (e.g., email alerts).