Block 1 - Schedule Data Collection
- Type / Role
- n8n-nodes-base.scheduleTrigger - scheduleTrigger
- Config choices
- Version 1.2
Market intelligence engine with AI sentiment detection & competitor analysis
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Important notice
This workflow is provided as-is. Please review and test before using in production.
1. Workflow Overview
How It Works A scheduled process aggregates content from eight distinct data sources and standardizes all inputs into a unified format. AI models perform sentiment scoring, detect conspiracy or mis...
Best for
- Market Research automation workflows
- AI Summarization automation workflows
- advanced n8n builders looking for reusable templates
Tools used
n8n-nodes-base.scheduletrigger, n8n-nodes-base.set, n8n-nodes-base.httprequest, n8n-nodes-base.merge, n8n-nodes-base.code, n8n-nodes-base.removeduplicates, @n8n/n8n-nodes-langchain.openai, n8n-nodes-base.postgres
Source and attribution
This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Cheng Siong Chin.
Original n8n.io source1.1 Workflow description
- Title
- Market intelligence engine with AI sentiment detection & competitor analysis
- Workflow name
- Market intelligence engine with AI sentiment detection & competitor analysis
How It Works
A scheduled process aggregates content from eight distinct data sources and standardizes all inputs into a unified format. AI models perform sentiment scoring, detect conspiracy or misinformation signals, and generate trend analyses across domains. An MCDN routing model prioritizes and channels insights to the appropriate workflows. Dashboards visualize real-time analytics, trigger KPIs based on thresholds, and compile comprehensive market-intelligence reports for stakeholders.
Setup Steps
- Data Sources: Connect news APIs, social media platforms, academic databases, code repositories, and documentation feeds.
- AI Analysis: Configure OpenAI models for sentiment analysis, conspiracy detection, and trend scoring.
- Dashboards: Integrate analytics platforms and enable automated email or reporting outputs.
- Storage: Configure a database for historical records, trend archives, and competitive-intelligence storage.
Prerequisites
Multi-source API credentials; OpenAI API key; dashboard platform access; email service; code repository access; academic database credentials
Use Cases
Competitive intelligence monitoring; market trend analysis; technology landscape tracking; product strategy research; misinformation filtering
Customization
Adjust sentiment thresholds; add/remove data sources; modify analysis rules; extend AI models
Benefits
Reduces research time 80%; consolidates market intelligence; improves decision accuracy
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 2 - Workflow Configuration
- Type / Role
- n8n-nodes-base.set - set
- Config choices
- Version 3.4
Block 3 - Fetch News Articles
- Type / Role
- n8n-nodes-base.httpRequest - httpRequest
- Config choices
- Version 4.3
Block 4 - Fetch Blog Posts
- Type / Role
- n8n-nodes-base.httpRequest - httpRequest
- Config choices
- Version 4.3
Block 5 - Fetch Social Media
- Type / Role
- n8n-nodes-base.httpRequest - httpRequest
- Config choices
- Version 4.3
Block 6 - Fetch Academic Papers
- Type / Role
- n8n-nodes-base.httpRequest - httpRequest
- Config choices
- Version 4.3
Block 7 - Fetch Code Repos
- Type / Role
- n8n-nodes-base.httpRequest - httpRequest
- Config choices
- Version 4.3
Block 8 - Fetch Forum Discussions
- Type / Role
- n8n-nodes-base.httpRequest - httpRequest
- Config choices
- Version 4.3
Block 9 - Fetch Product Docs
- Type / Role
- n8n-nodes-base.httpRequest - httpRequest
- Config choices
- Version 4.3
Block 10 - Merge All Sources
- Type / Role
- n8n-nodes-base.merge - merge
- Config choices
- Version 3.2
Block 11 - Normalize Content Schema
- Type / Role
- n8n-nodes-base.code - code
- Config choices
- Version 2
Block 12 - Deduplicate Content
- Type / Role
- n8n-nodes-base.removeDuplicates - removeDuplicates
- Config choices
- Version 2
Block 13 - Extract Entities & Topics
- Type / Role
- @n8n/n8n-nodes-langchain.openAi - openAi
- Config choices
- Version 2
Block 14 - Parse Technical Signals
- Type / Role
- n8n-nodes-base.code - code
- Config choices
- Version 2
Block 15 - Store Raw Data
- Type / Role
- n8n-nodes-base.postgres - postgres
- Config choices
- Version 2.6
Block 16 - Time-Series Analytics
- Type / Role
- n8n-nodes-base.code - code
- Config choices
- Version 2
Block 17 - Topic Modeling & Velocity
- Type / Role
- n8n-nodes-base.code - code
- Config choices
- Version 2
Block 18 - Sentiment Analysis
- Type / Role
- n8n-nodes-base.code - code
- Config choices
- Version 2
Block 19 - Changepoint Detection
- Type / Role
- n8n-nodes-base.code - code
- Config choices
- Version 2
Block 20 - Novelty Scoring
- Type / Role
- n8n-nodes-base.code - code
- Config choices
- Version 2
Block 21 - Merge Analytics Signals
- Type / Role
- n8n-nodes-base.merge - merge
- Config choices
- Version 3.2
Block 22 - MCDM Signal Fusion
- Type / Role
- n8n-nodes-base.code - code
- Config choices
- Version 2
Block 23 - Rank Trends by Impact
- Type / Role
- n8n-nodes-base.code - code
- Config choices
- Version 2
Block 24 - Store Trend Rankings
- Type / Role
- n8n-nodes-base.postgres - postgres
- Config choices
- Version 2.6
Showing the first 24 of 46 workflow blocks. Download the JSON for the full node graph.
3. Summary Table
| Workflow | Market intelligence engine with AI sentiment detection & competitor analysis |
|---|---|
| Complexity | advanced |
| Nodes | 46 |
| Categories | Market Research, AI Summarization |
| Author | Cheng Siong Chin |
| Published | 12 Nov 2025 |
4. Reproducing the Workflow from Scratch
-
1. Download the workflow JSON
Use the JSON export at /data/workflows/10765/10765.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.
Frequently asked questions
What does Market intelligence engine with AI sentiment detection & competitor analysis do?
How It Works A scheduled process aggregates content from eight distinct data sources and standardizes all inputs into a unified format. AI models perform sentiment scoring, detect conspiracy or mis...
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.