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

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Important notice

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

1. Workflow Overview

Who's it for ESG analysts , investors , procurement teams , activists and sustainability professionals who need comprehensive, objective assessments of companies' environmental impact and animal...

Best for

Market Research automation workflows
AI Summarization automation workflows
advanced n8n builders looking for reusable templates

Tools used

@n8n/n8n-nodes-langchain.lmchatopenrouter, @n8n/n8n-nodes-langchain.outputparserstructured, n8n-nodes-base.executeworkflow, n8n-nodes-base.executeworkflowtrigger, n8n-nodes-base.merge, n8n-nodes-base.aggregate, @n8n/n8n-nodes-langchain.chainllm, n8n-nodes-base.set

Source and attribution

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

Original n8n.io source

1.1 Workflow description

Title: Analyze company sustainability & animal welfare with OpenRouter AI & multi-source research
Workflow name: Analyze company sustainability & animal welfare with OpenRouter AI & multi-source research

🎯 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

Prerequisites: Download the research subworkflow from Multi-Tool Research Agent for Animal Advocacy with OpenRouter, Serper & Open Paws DB and save it in your n8n instance
API key for OpenRouter or other AI service provider

🚀 How to set up

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
Configure API Keys: Set up your AI service credentials in the LLM nodes
Link Subworkflow: Connect the Research Agent node to reference your installed research subworkflow
Test Connection: Verify the research tools and databases are accessible
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

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 - OpenRouter Chat Model

Type / Role: @n8n/n8n-nodes-langchain.lmChatOpenRouter - lmChatOpenRouter
Config choices: Version 1

Block 2 - Structured Output Parser

Type / Role: @n8n/n8n-nodes-langchain.outputParserStructured - outputParserStructured
Config choices: Version 1.3

Block 3 - Trigger Research Agent

Type / Role: n8n-nodes-base.executeWorkflow - executeWorkflow
Config choices: Version 1.2

Block 4 - When Executed by Another Workflow

Type / Role: n8n-nodes-base.executeWorkflowTrigger - executeWorkflowTrigger
Config choices: Version 1.1

Block 5 - Merge

Type / Role: n8n-nodes-base.merge - merge
Config choices: Version 3.2

Block 6 - Aggregate

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

Block 7 - Return Structured Analysis

Type / Role: @n8n/n8n-nodes-langchain.chainLlm - chainLlm
Config choices: Version 1.7

Block 8 - Return HTML Report

Type / Role: @n8n/n8n-nodes-langchain.chainLlm - chainLlm
Config choices: Version 1.7

Block 9 - Set Output

Type / Role: n8n-nodes-base.set - set
Config choices: Version 3.4

Block 10 - OpenRouter Chat Model2

Type / Role: @n8n/n8n-nodes-langchain.lmChatOpenRouter - lmChatOpenRouter
Config choices: Version 1

Block 11 - Sticky Note

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

Block 12 - Sticky Note1

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

Block 13 - Sticky Note2

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

Block 14 - Sticky Note3

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

Block 15 - Sticky Note4

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

3. Summary Table

Workflow	Analyze company sustainability & animal welfare with OpenRouter AI & multi-source research
Complexity	advanced
Nodes	15
Categories	Market Research, AI Summarization
Author	Open Paws
Published	25 Jul 2025

4. Reproducing the Workflow from Scratch

1. Download the workflow JSON

Use the JSON export at /data/workflows/6417/6417.json as the source template for this automation.
2. Import the template into n8n

Open n8n, import the downloaded JSON, and review each node before activating the workflow.
3. Configure credentials and variables

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

Download workflow JSON Original n8n.io source Market Research workflows AI Summarization workflows

Frequently asked questions

What does Analyze company sustainability & animal welfare with OpenRouter AI & multi-source research do?

Who's it for ESG analysts , investors , procurement teams , activists and sustainability professionals who need comprehensive, objective assessments of companies' environmental impact and animal...

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 Market Research, AI Summarization use case.

Open Paws

15 workflows

Nodes

@n8n/n8n-nodes-langchain.lmchatopenrouter @n8n/n8n-nodes-langchain.outputparserstructured n8n-nodes-base.executeworkflow n8n-nodes-base.executeworkflowtrigger n8n-nodes-base.merge n8n-nodes-base.aggregate @n8n/n8n-nodes-langchain.chainllm n8n-nodes-base.set

Complexity

advanced

Published 25 Jul 2025

Likes 0

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Install path: /data/workflows/6417/6417.json

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

Workflow preview

Important notice

1. Workflow Overview

Best for

Tools used

Source and attribution

1.1 Workflow description

🎯 Who's it for

⚡ How it works

📋 Requirements

🚀 How to set up

🛠️ How to customize the workflow

1.2 Logical Blocks

2. Block-by-Block Analysis

Block 1 - OpenRouter Chat Model

Block 2 - Structured Output Parser

Block 3 - Trigger Research Agent

Block 4 - When Executed by Another Workflow

Block 5 - Merge

Block 6 - Aggregate

Block 7 - Return Structured Analysis

Block 8 - Return HTML Report

Block 9 - Set Output

Block 10 - OpenRouter Chat Model2

Block 11 - Sticky Note

Block 12 - Sticky Note1

Block 13 - Sticky Note2

Block 14 - Sticky Note3

Block 15 - Sticky Note4

3. Summary Table

4. Reproducing the Workflow from Scratch

1. Download the workflow JSON

2. Import the template into n8n

3. Configure credentials and variables

4. Test with sample data

5. Activate and monitor

5. General Notes & Resources

Frequently asked questions