Overview
The Company Financial Annual Report Analysis Agent is an agentic system designed to read companies' annual reports and answer questions about them, covering real financial trends, qualitative risk factors, and information beyond the reports. It was built end to end on free-tier APIs, containerized, and shipped with its own CI/CD pipeline. The system resolves company names, pulls real trend data, computes CAGR with plain arithmetic (not LLM math), compares companies, cites exact source pages, and double-checks its own answers before returning them. It provides structured financial lookups for exact figures, YoY growth, and CAGR, as well as semantic search over qualitative report text, a sandboxed code-execution tool, and free web search for anything beyond the ingested reports. The architecture includes visible planning, answer verification, and self-critique on every response. Extraction and retrieval are kept as separate concerns: standard metrics become structured database rows with real computed trends, while qualitative text goes through vector search. An explicit verification step is built into the graph's structure.
Pricing
Free
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Use Cases
- Teams use the agent to compute revenue CAGR and compare it across companies over a specified period.
- Teams use the agent to perform structured financial lookups for exact figures, YoY growth, and CAGR.
- Teams use the agent to conduct semantic search over qualitative report text.
- Teams use the agent to execute code in a sandboxed environment for custom calculations.
- Teams use the agent to perform free web search for information beyond the ingested reports.
Features
AI-powered annual report analysis
Company financial insight generation
RAG-assisted report analysis
LLM-based report interpretation
Natural language document processing
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