Research Automation
Scrape the web, synthesize findings with AI, and generate reports with proper citations — on a schedule or on demand.
Multi-Provider Web Scraping
Gather data from across the web using four specialized scraping providers. Crawlee handles local Docker-based scraping, Apify runs cloud-based extraction, BrightData provides enterprise-grade proxies, and ScrapingBee offers a simple API fallback. If one provider fails, the system automatically tries the next.
Batch processing lets you scrape entire sitemaps or hundreds of URLs in a single job with concurrency controls.
Scraping Providers
AI Synthesis
Once your sources are gathered, Groq and OpenAI models analyze, compare, and synthesize findings into coherent narratives. Extract key points, identify consensus and disagreements across sources, and generate executive summaries — all with configurable depth and focus.
Multi-source comparison identifies where sources agree, where they conflict, and what gaps remain.
Synthesizing 5 sources...
Report Generation
AI generates comprehensive research reports organized into logical sections — executive summary, key findings, methodology, detailed analysis, and conclusions. Each section can be regenerated independently if you need a different angle or deeper analysis.
Export reports in PDF, HTML, or Markdown format for sharing with your team.
Report Sections
Executive Summary
Overview and key takeaways
Key Findings
12 findings across 5 sources
Detailed Analysis
In-depth analysis with citations
Conclusions
Recommendations and next steps
Citation & Bibliography
Every claim is traceable. The system extracts citation metadata from URLs automatically and formats references in APA, MLA, or Chicago style. Build bibliographies that would pass academic review, without the tedium of manual formatting.
Citation validation ensures every reference is properly formatted and complete before export.
Bibliography
Smith, J. (2026). Market Analysis Quarterly. Journal of Business Research, 42(3), 15-28.
APAChen, Wei. "Industry Trends 2026." Tech Review, vol. 18, no. 2, 2026, pp. 44-51.
MLAPatel, Ravi. "Data-Driven Decisions." Harvard Business Review, March 2026.
ChicagoScheduled Automation
Set up research tasks to run on recurring schedules — daily market monitoring, weekly competitor analysis, or monthly industry reports. Cron-based scheduling with execution history tracking means your research stays current without manual intervention.
Execution history lets you track what ran, when, and what changed since the last run.
Scheduled Research
Market Monitor
Every day at 8:00 AM
Competitor Analysis
Every Monday at 9:00 AM
Industry Report
1st of every month
Ready to get started?
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