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Analyze company sustainability & animal welfare with OpenRouter AI & multi-source research

Open PawsOpen Paws
294 views
2/3/2026
TrelloWebhookWordPressAutomationContent Management
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🎯 Who's it for

ESG analysts, investors, procurement teams, activists and sustainability professionals who need comprehensive, objective assessments of companies' environmental impact and animal welfare policies. Perfect for:

  • Due diligence and investment screening
  • Supplier evaluation and ethical sourcing
  • Compliance reporting and ESG benchmarking
  • Consumer guidance for ethical purchasing decisions

⚡ How it works

This workflow automates the entire research and analysis process for comprehensive sustainability and animal welfare assessment. Simply input a company name, and the system handles everything:

🔍 Multi-Source Research: Calls a specialized subworkflow that queries:

  • Open Paws database for animal welfare data
  • Web scraping for sustainability reports
  • Search engines for recent developments
  • Social media monitoring for real-time insights

🤖 Parallel AI Analysis: Two specialized chains process data simultaneously:

  • Structured scoring with percentages and letter grades (A+ to D)
  • Detailed HTML reports with narrative analysis and insights

📊 Complete Assessment: Final output combines both formats for actionable intelligence on:

  • Environmental policies and carbon footprint
  • Animal welfare practices and ethical sourcing
  • Vegan accommodation and plant-based initiatives

📋 Requirements

🚀 How to set up

  1. Install Research Subworkflow: First download the Multi-Tool Research Agent for Animal Advocacy with OpenRouter, Serper & Open Paws DB and import it into your n8n instance
  2. Configure API Keys: Set up your AI service credentials in the LLM nodes
  3. Link Subworkflow: Connect the Research Agent node to reference your installed research subworkflow
  4. Test Connection: Verify the research tools and databases are accessible
  5. Run Test: Input a well-known company name to validate the complete pipeline

🛠️ How to customize the workflow

  • Scoring Weights: Adjust percentage weightings for environmental impact, animal welfare, and vegan accommodation
  • Research Sources: Modify the subworkflow to include additional databases or exclude certain sources
  • Output Format: Customize the HTML report template or JSON schema structure
  • Grading Scale: Change letter grade thresholds (A+, A, B+, etc.) in the scoring logic
  • Assessment Focus: Adapt prompts to emphasize specific sustainability or animal welfare aspects for your industry

Analyze Company Sustainability & Animal Welfare with OpenRouter AI

This n8n workflow leverages OpenRouter AI and LangChain to perform multi-source research and analysis on a company's sustainability and animal welfare practices. It's designed to be executed as a sub-workflow, allowing for modular integration into larger research or data processing pipelines.

What it does

This workflow automates the following steps:

  1. Receives Input: It acts as a sub-workflow, triggered by another workflow, and expects company information as input.
  2. Sets Initial Data: It prepares the input data for processing, likely extracting or formatting key company details.
  3. Performs AI-Powered Analysis: It uses an OpenRouter Chat Model via LangChain to analyze the provided company information.
    • It constructs a prompt that asks the AI to act as an expert in sustainability and animal welfare.
    • The AI is instructed to identify key sustainability initiatives, animal welfare policies, controversies, and provide an overall assessment.
    • It specifies the desired output format as JSON, including fields for companyName, sustainabilityInitiatives, animalWelfarePolicies, controversies, and overallAssessment.
  4. Parses AI Output: It uses a Structured Output Parser to extract the structured JSON data from the AI's response.
  5. Aggregates Results: It combines the parsed AI output, likely to prepare it for further processing or return to the calling workflow.
  6. Merges Data: It merges the processed data, which could involve combining the original input with the AI-generated insights.

Prerequisites/Requirements

  • n8n Instance: A running n8n instance (self-hosted or cloud).
  • OpenRouter API Key: An API key for OpenRouter to access its language models. This will need to be configured as an n8n credential.
  • LangChain Nodes: Ensure the @n8n/n8n-nodes-langchain package is installed and enabled in your n8n instance.

Setup/Usage

  1. Import the Workflow: Import the provided JSON into your n8n instance.
  2. Configure Credentials:
    • Locate the "OpenRouter Chat Model" node.
    • Select or create a new "OpenRouter API" credential.
    • Enter your OpenRouter API Key into the credential setup.
  3. Testing:
    • Since this is a sub-workflow, it's designed to be called by another workflow using the "Execute Workflow" node.
    • To test it independently, you can manually trigger the "When Executed by Another Workflow" node and provide sample input data (e.g., a JSON object containing a companyName field).
    • Run the workflow to observe the AI's analysis and the structured output.
  4. Integration:
    • In your main workflow, add an "Execute Workflow" node.
    • Configure it to call this "Analyze Company Sustainability & Animal Welfare with OpenRouter AI" workflow.
    • Pass the company name or relevant details as input to the "Execute Workflow" node.

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