This content originally appeared on DEV Community and was authored by RamadanYosi
This is a submission for the AI Agents Challenge powered by n8n and Bright Data
What I Built
MarketTel is an elite market research assistant that transforms how businesses gather competitive intelligence. Instead of spending weeks on manual research or thousands on consulting agencies, users get comprehensive market insights in minutes through a simple Telegram conversation.
Core Problem Solved
Traditional market research is:
Time-consuming: 10+ hours per research request
Expensive: $5,000-50,000 for professional research
Outdated: Static reports that don’t reflect real-time changes
Limited scope: Single-source information with bias
MarketTel Solution
Instant Intelligence: Real-time data in under 5 minutes- Specialized Expertise: 6 core research areas (competitors, influencers, products, industries, social media, investments)
- Multi-Source Analysis: Cross-validates data across 30+ platforms
Business-Ready: Actionable insights with ROI projections
Accessible Interface: Simple Telegram bot for instant access
Demo
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Telegram Bot: @MarketTelAnalystBot
### Example Use Cases
1. Influencer Research for Beauty Brand
Query: "Influencer research for my beauty brand, budget 100M"
Result: Complete analysis with 15+ influencers, ROI projections, campaign strategy
2. Competitive Analysis
Query: "Tokopedia competitor analysis for smartphone category"
Result: Market positioning, pricing comparison, strategic recommendations
3. Investment Research
Query: "GOTO stock analysis for investment decisions"
Result: Fundamental analysis, technical indicators, risk assessment, price targets
n8n Workflow
https://gist.github.com/GuardME/3b2ffdeef498aac04a49bbb41d17f8a7
Technical Implementation
Architecture Overview
Telegram User → AI Agent (MarketTel) → Bright Data MCP → Real-time Web Data
↓ ↓ ↓
Response ← Gemini Pro + Memory Buffer ← Structured Intelligence
AI Agent Configuration
Model Choice: Google Gemini Pro
- Reasoning: Superior analytical capabilities for complex market research
- Context Window: Large enough for comprehensive data analysis
- Performance: Fast response times for real-time intelligence
System Instructions:
- Role: Senior business analyst with market intelligence access
- Methodology: 5-step research framework (Data Collection → Cross-Validation → Analysis → Strategic Insights → ROI Projections)
- Output Format: Professional reports with executive summaries, data visualization, and actionable recommendations
Memory Management: Buffer Window Memory
- Function: Maintains conversation context for follow-up questions
- Benefit: Enables iterative research refinement and clarification
Tools Integration
Primary Tool: Bright Data MCP Client
- 30+ Available Tools: Web scraping, social media monitoring, e-commerce data, financial information
- Real-time Access: Live data feeds for current market conditions
- Global Coverage: Multi-region data collection capabilities
Bright Data Verified Node
MCP Server Integration:
-
Endpoint:
https://mcp.brightdata.com/mcp - Transport: HTTP Streamable for real-time data flow
- Authentication: Token-based secure access
Utilization Strategy:
- Multi-Source Data Collection
Competitor Analysis: E-commerce platforms + Company websites + Social media
Influencer Research: Instagram + TikTok + YouTube analytics
Product Research: Multiple retailers + Review platforms + Price trackers
-
Cross-Platform Validation
- Verifies information across minimum 3 sources
- Identifies discrepancies and data quality issues
- Provides confidence scores for insights
-
Real-Time Intelligence
- Live pricing data for competitive analysis
- Current social media metrics for influencer research
- Up-to-date financial data for investment analysis
Key Capabilities Leveraged:
- Search Intelligence: Google, Bing, regional search engines
- E-commerce Data: Amazon, marketplace pricing, inventory levels
- Social Media Analytics: Instagram, TikTok, LinkedIn profiles and metrics
- Financial Data: Stock prices, company fundamentals, market trends
- Content Aggregation: News articles, blog posts, industry reports
Journey
Development Process
Phase 1: Concept Development (Week 1)
Phase 2: Concept and Technical Implementation
- Identified market research pain points through user interviews
- Researched Bright Data MCP capabilities and n8n integration
- Designed MarketTel core value proposition
- Built initial n8n workflow with basic AI agent
- Integrated Bright Data MCP server connection
- Developed specialized prompts for market research expertise
Phase 3: Enhancement, Testing, Optimization
- Added comprehensive system instructions for business analysis
- Implemented multi-source data validation methodology
- Tested across different research scenarios and refined responses
- Fixed Telegram parseMode compatibility issues
- Optimized prompt engineering for better output structure
- Added loading indicators for better user experience
Challenges Overcome
1. Prompt Engineering Complexity
- Challenge: Balancing comprehensive expertise with response clarity
- Solution: Developed structured methodology framework and clear output templates
- Learning: AI agents need specific guidance for professional-quality outputs
2. Telegram Integration Issues
- Challenge: Markdown parsing errors with complex AI responses
- Solution: Switched to plain text format for reliability
- Learning: Sometimes simpler is better for user experience
3. Data Quality Assurance
- Challenge: Ensuring accuracy across multiple data sources
- Solution: Implemented cross-validation methodology and source citation
- Learning: Transparency builds trust in AI-generated insights
4. Business Value Communication
- Challenge: Moving from generic chatbot to specialized business tool
- Solution: Focused on specific use cases with quantified ROI projections
- Learning: AI agents need clear positioning and value propositions
Key Learnings
- Specialization > Generalization: Focused expertise delivers more value than generic capabilities
- Real-time Data = Competitive Advantage: Bright Data’s live data feeds create unique value proposition
- User Experience Matters: Simple interfaces (Telegram) lower adoption barriers
- Professional Output Quality: Business users expect structured, actionable insights, not raw data
- Cross-validation is Critical: Multi-source verification builds confidence in AI recommendations
What’s Next
Immediate Enhancements:
- Add visual chart generation for data visualization
- Implement scheduled research reports for ongoing monitoring
- Integrate with business communication platforms (Slack, Teams)
Future Vision:
- Expand to industry-specific research modules
- Add predictive analytics and trend forecasting
- Develop API for enterprise integration
Impact & Value
For Small Businesses: Replaces expensive consulting with instant intelligence
For Startups: Enables data-driven decisions without big budgets
For Enterprises: Accelerates research cycles from weeks to minutes
Quantified Benefits:
- 95% time reduction (10 hours → 30 minutes)
- 90% cost reduction ($10,000 → $1,000 annual)
- Real-time accuracy vs outdated reports
- 24/7 availability vs business hours consulting
MarketTel represents the future of market research – instant, accurate, and accessible to businesses of all sizes.
Built with 
using n8n and Bright Data MCP Server
Tags: #MarketResearch #AI #BusinessIntelligence #n8n #BrightData #Automation #Telegram #DataAnalysis
This content originally appeared on DEV Community and was authored by RamadanYosi