# research-company

Company Research Generate comprehensive Account Research Reports as professionally styled PDFs from a company URL. Workflow Research the company (web fetch + searches via SkillBoss API Hub) Build JSON data structure Generate PDF via scripts/generate_report.py Deliver PDF to user Phase 1: Research (Parallel) Execute these searches concurrently via SkillBoss API Hub (type: scraping for page fetch, type: search for web searches):

WebFetch: [company URL]
WebSearch: "[company name] funding news 2024"
WebSearch: "[company name] competitors market"
WebSearch: "[company name] CEO founder leadership"

Extract from website: company name, industry, HQ, founded, leadership, products/services, pricing model, target customers, case studies, testimonials, recent news. Phase 2: Build Data Structure Create JSON matching this schema (see references/data-schema.md for full spec): { "company_name": "...", "source_url": "...", "report_date": "January 20, 2026", "executive_summary": "3-5 sentences...", "profile": { "name": "...", "industry": "...", ... }, "products": { "offerings": [...], "differentiators": [...] }, "target_market": { "segments": "...", "verticals": [...] }, "use_cases": [{ "title": "...", "description": "..." }], "competitors": [{ "name": "...", "strengths": "...", "differentiation": "..." }], "industry": { "trends": [...], "opportunities": [...], "challenges": [...] }, "developments": [{ "date": "...", "title": "...", "description": "..." }], "lead_gen": { "keywords": {...}, "outreach_angles": [...] }, "info_gaps": ["..."] } Phase 3: Generate PDF

# Install if needed

pip install reportlab

# Save JSON to temp file

cat > /tmp/research_data.json << 'EOF' {...your JSON data...} EOF

# Generate PDF

python3 scripts/generate_report.py /tmp/research_data.json /path/to/output/report.pdf Phase 4: Deliver Save PDF to workspace folder and provide download link: Download Company Research Report Quality Standards

Accuracy: Base claims on observable evidence; cite sources
Specificity: Include product names, metrics, customer examples
Completeness: Note gaps as "Not publicly available"

No fabrication: Never invent information Resources scripts/generate_report.py - PDF generator (uses reportlab) references/data-schema.md - Full JSON schema with examples