What problem does it solve? It produces auditable fundamental research on a single listed company, enforcing identity verification, per-number source tagging, and evidence-gated conclusions instead of unsourced narrative. ## Core Features & Use Cases - Evidence-Gated Research: Every precise figure carries an inline source tag (first-party filing, financial database, user-provided, derived, or pending verification), and unverifiable claims are downgraded rather than deleted. - Deterministic Financial Tooling: Python scripts build net-profit-to-CFO-to-FCF bridges, route company types to metric packs, validate deliverables against JSON schemas, and lint final reports. - Conditional Valuation: Outputs full, degraded, or blocked valuation modes with tiered tables and assumption cards instead of fabricated point estimates when inputs are missing. - Use Case: Ask for a deep-dive on a listed company such as analyzing its business model, financial quality, peer position, and risks, and receive a structured report with an auditable summary, counterarguments, and falsification signals. ## Quick Start Ask the assistant to analyze a specific listed company by name or ticker, stating your focus areas and the analysis cutoff date.