What problem does it solve? Private companies like Ant Group, Xiaohongshu, SpaceX, or Stripe lack standardized financial disclosures, making it hard to judge what the business is actually worth. This Skill coordinates a multi-agent research team to piece together fragmented information, cross-validate data, and produce an investment-grade report with explicit confidence labels instead of vague both-sides analysis. ## Core Features & Use Cases - Six Parallel Research Agents: Business model decoding, financial data reconstruction and valuation, competitive landscape mapping, risk and governance assessment, technology and IP analysis, and alternative data signal mining (hiring, patents, litigation, app metrics). - Multi-Method Valuation: Combines latest funding round adjustment, comparable public companies, DCF scenarios, terminal value back-calculation, and transaction benchmarking into a weighted fair-value range with safety margin. - Anti-Bias Controls: Every data point carries a source, date, and confidence rating (high/medium/low); cross-agent signal consistency checks catch contradictions before the final verdict of invest, watch, or avoid. - Use Case: Ask it to research Xiaohongshu before a secondary share purchase, and receive a full report with estimated revenue, valuation range versus the latest round, exit path analysis, and a one-page decision table. ## Quick Start Ask the agent to run a private company deep research report on SpaceX covering business model, valuation, competition, risks, technology, and alternative data signals.
