feat: implement company performance estimation orchestration

Created CompanyAnalyzer class that orchestrates the complete pipeline:
1. Retrieves patents via SERP API
2. Downloads and parses PDFs
3. Minimizes content (removes bloat)
4. Analyzes portfolio with LLM
5. Returns performance estimation

Features:
- Full company portfolio analysis
- Single patent analysis support
- Robust error handling (continues on partial failures)
- Progress logging for user visibility

Updated main.py with clean example usage demonstrating the high-level API.

Added comprehensive test suite (7 tests) covering:
- Full pipeline integration
- Error handling at each stage
- Single patent analysis
- Edge cases (no patents, all failures)

All 26 tests passing.

This completes the core functionality for patent-based company
performance estimation.

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>

main.py

@@ -1,10 +1,43 @@
-from SPARC.serp_api import SERP
+"""SPARC - Semiconductor Patent & Analytics Report Core
 
-patents = SERP.query("nvidia")
+Example usage of the company performance analyzer.
 
-for patent in patents.patents:
-  patent = SERP.save_patents(patent)
-  patent.summary = SERP.parse_patent_pdf(patent.pdf_path)
-  print(patent.summary)
+Before running:
+1. Create a .env file with:
+   API_KEY=your_serpapi_key
+   ANTHROPIC_API_KEY=your_anthropic_key
 
-print(patents)
+2. Run: python main.py
+"""
+
+from SPARC.analyzer import CompanyAnalyzer
+
+
+def main():
+    """Analyze a company's performance based on their patent portfolio."""
+
+    # Initialize the analyzer (loads API keys from .env)
+    analyzer = CompanyAnalyzer()
+
+    # Analyze a company - this will:
+    # 1. Retrieve patents from SERP API
+    # 2. Download and parse patent PDFs
+    # 3. Minimize content (remove bloat)
+    # 4. Analyze with Claude to estimate performance
+    company_name = "nvidia"
+
+    print(f"\n{'=' * 70}")
+    print(f"SPARC Patent Analysis - {company_name.upper()}")
+    print(f"{'=' * 70}\n")
+
+    analysis = analyzer.analyze_company(company_name)
+
+    print(f"\n{'=' * 70}")
+    print("ANALYSIS RESULTS")
+    print(f"{'=' * 70}\n")
+    print(analysis)
+    print(f"\n{'=' * 70}\n")
+
+
+if __name__ == "__main__":
+    main()