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Get Real-time Stock Analysis and Rankings with Danelfin's AI Analytics API

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Important notice

This workflow is provided as-is. Please review and test before using in production.

1. Workflow Overview

Danelfin MCP Server About Danelfin Danelfin is an AI powered stock analytics platform that helps investors find the best stocks and optimize their portfolios with explainable AI insights to make sm...

Best for

  • Crypto Trading automation workflows
  • AI RAG automation workflows
  • intermediate n8n builders looking for reusable templates

Tools used

@n8n/n8n-nodes-langchain.mcptrigger, n8n-nodes-base.httprequesttool, n8n-nodes-base.stickynote

Source and attribution

This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Paul.

Original n8n.io source

1.1 Workflow description

Title
Get Real-time Stock Analysis and Rankings with Danelfin's AI Analytics API
Workflow name
Get Real-time Stock Analysis and Rankings with Danelfin's AI Analytics API

Danelfin MCP Server

About Danelfin

Danelfin is an AI-powered stock analytics platform that helps investors find the best stocks and optimize their portfolios with explainable AI insights to make smarter, data-driven investment decisions. The platform uses AI-driven stock analytics to optimize investment strategies.

Danelfin uses Explainable Artificial Intelligence to help everyone make smart and data-driven investment decisions. The platform provides API solutions for developers, analysts, and fintech firms wanting to integrate predictive stock data into their own applications.

Key Features

  • AI Stock Picker: Advanced algorithms to identify high-potential stocks
  • Portfolio Optimization: Data-driven portfolio management and optimization tools
  • Explainable AI: Transparent AI insights that show reasoning behind recommendations
  • Predictive Analytics: AI Scores and forecasting capabilities
  • Multi-Asset Coverage: Analysis of stocks and ETFs across various markets

MCP Server Endpoints

This Danelfin MCP (Model Context Protocol) server exposes three main endpoints that provide comprehensive market analysis capabilities:

πŸ† /ranking Endpoint

GET: https://apirest.dan...

The ranking endpoint provides AI-powered stock rankings and ratings. This tool allows users to:

  • Access ranked lists of stocks based on AI-generated scores
  • Retrieve performance rankings across different timeframes
  • Get comparative analysis of stock performance
  • Access predictive AI scores for investment decision-making

🏭 /sectors Endpoint

GET: https://apirest.dan...

The sectors endpoint provides analysis for US market stocks including AI ratings, prices, stock charts, technical, fundamental, and sentiment analysis organized by market sectors. Features include:

  • Sector-wise market analysis and performance metrics
  • AI ratings and price data for sector classifications
  • Technical and fundamental analysis by sector
  • Sentiment analysis across different market sectors
  • Comparative sector performance insights

🏒 /industries Endpoint

GET: https://apirest.dan...

The industries endpoint offers granular industry-level analysis within market sectors:

  • Industry-specific stock analysis and ratings
  • Performance metrics at the industry classification level
  • AI-powered insights for specific industry verticals
  • Comparative industry analysis within sectors
  • Industry trend analysis and forecasting

Integration Benefits

This MCP server enables seamless integration of Danelfin's AI-powered stock analysis capabilities into applications and workflows. Users can:

  • Access Real-time Data: Get up-to-date stock rankings, sector performance, and industry analysis
  • Leverage AI Insights: Utilize explainable AI recommendations for investment decisions
  • Streamline Research: Automate stock research workflows with comprehensive market data
  • Enhance Decision-Making: Make data-driven investment choices with predictive analytics
  • Scale Analysis: Process large-scale market analysis across multiple dimensions

Use Cases

  • Investment Research: Comprehensive stock analysis and ranking for portfolio managers
  • Algorithmic Trading: Integration of AI scores into trading algorithms and strategies
  • Financial Advisory: Enhanced client advisory services with AI-powered insights
  • Risk Management: Sector and industry analysis for portfolio risk assessment
  • Market Analysis: Real-time market intelligence for institutional investors

The Danelfin MCP server bridges the gap between advanced AI stock analytics and practical investment applications, providing developers and financial professionals with powerful tools for data-driven market analysis.

1.2 Logical Blocks

This catalog entry is organized from the workflow JSON. The node-level section below shows the executable blocks available for review before importing the template.

2. Block-by-Block Analysis

Block 1 - Danelfin mcp

Type / Role
@n8n/n8n-nodes-langchain.mcpTrigger - mcpTrigger
Config choices
Version 2

Block 2 - ranking

Type / Role
n8n-nodes-base.httpRequestTool - httpRequestTool
Config choices
Version 4.2

Block 3 - sectors

Type / Role
n8n-nodes-base.httpRequestTool - httpRequestTool
Config choices
Version 4.2

Block 4 - industries

Type / Role
n8n-nodes-base.httpRequestTool - httpRequestTool
Config choices
Version 4.2

Block 5 - Sticky Note

Type / Role
n8n-nodes-base.stickyNote - stickyNote
Config choices
Version 1

3. Summary Table

Workflow Get Real-time Stock Analysis and Rankings with Danelfin's AI Analytics API
Complexity intermediate
Nodes 5
Categories Crypto Trading, AI RAG
Author Paul
Published 27 Jul 2025

4. Reproducing the Workflow from Scratch

  1. 1. Download the workflow JSON

    Use the JSON export at /data/workflows/6541/6541.json as the source template for this automation.

  2. 2. Import the template into n8n

    Open n8n, import the downloaded JSON, and review each node before activating the workflow.

  3. 3. Configure credentials and variables

    Replace placeholder credentials, API keys, webhook URLs, account IDs, and environment-specific values with your own settings.

  4. 4. Test with sample data

    Run the workflow manually or in a staging workspace, inspect node output, and confirm downstream systems receive the expected data.

  5. 5. Activate and monitor

    Enable the workflow only after testing, then monitor executions, errors, and rate limits during the first production runs.

5. General Notes & Resources

Review imported nodes carefully before activation. This catalog entry is intended to help you inspect the workflow structure, understand required services, and find related templates faster.

Node names, credentials, schedules, webhook paths, and external service limits may need adjustment for your workspace.

Frequently asked questions

What does Get Real-time Stock Analysis and Rankings with Danelfin's AI Analytics API do?

Danelfin MCP Server About Danelfin Danelfin is an AI powered stock analytics platform that helps investors find the best stocks and optimize their portfolios with explainable AI insights to make sm...

What do I need before importing this workflow?

Review the workflow JSON, configure any required credentials in n8n, and test the automation in a safe workspace before using it in production.

Can I customize this workflow?

Yes. Use the block-by-block analysis and the downloadable JSON to inspect each node, then adjust credentials, prompts, schedules, filters, or destinations for your Crypto Trading, AI RAG use case.