Autonomous AI Stock Analysis.
Deep Research Skills. Zero API Keys.
Generic LLMs output shallow summaries based on stale cutoffs. Pierce provides institutional-grade AI stock analysis directly in your browser—combining named research skills for SEC filings, financial models, screeners, and background pulses with bundled market data. No terminal. No API keys.
Generic LLMs are not built for finance.
Generic AI Chatbots (Grok, Gemini, ChatGPT)
Text predictors with stale cutoffs. They guess numbers, hallucinate earnings metrics, cannot execute complex financial models, and force you to buy & manage third-party API keys.
Traditional Data Terminals & Analysts
Data terminals cost $50–$100+/mo just for raw data APIs. Human research reports take days, cost hundreds of dollars, and miss crucial market shifts.
Meet Agentic Finance.
Pierce operates an autonomous agentic research loop equipped with specialized quantitative tools—with zero API key management required.
Autonomous Research Agent
Pierce plans, queries SEC EDGAR filings, calculates DCF valuations, runs CANSLIM and VCP screeners, and self-verifies every output before presenting findings.
44 specialized research skills run under the hood to transform raw market data into actionable intelligence.
How Pierce Works
"AAPL DCF baseline yields an intrinsic value of $218.40 (vs. current price of $224.20). Sourced from FY2025 10-K Free Cash Flow of $108.8B, WACC of 8.8%, and 3.0% terminal growth."
1. Ask a financial research question
"Run a DCF valuation for AAPL" or "Screen for CANSLIM setups in software" or "Give me an earnings preview for MSFT."
Skill-specific prompts detect your intent and route to dedicated quantitative methodologies.
2. Pierce builds a research plan
Automatically decomposes your question into structured analytical steps, identifying necessary filings, datasets, and models.
Defines required metrics: historical cash flows, capital structure, growth projections, and discount rate ranges.
3. Tools: market data, filings, and models
Queries SEC filings, pulls bundled financial market data, checks web consensus, and runs quantitative models — self-checking calculations along the way.
Uses: sec_filings, financial_search, market_data, and valuation_calc. Flags contradictory data before presentation.
4. Independent synthesis with sources
Synthesizes data into an objective, institutional research memorandum. Profile context is optional — this is independent research, not a personalized recommendation.
Every key figure links back to primary SEC filings or transparent formulas. Full audit trail included.
5. Deliverable with caveats
Provides structured valuation matrices, downside risks, and clear next steps. Often, the disciplined research conclusion is to wait for a better margin of safety.
Caveats highlight margin pressure and multiple sensitivity. Wait or re-evaluate is a valid, honest conclusion.
Why Pierce is so powerful
Autonomous planning loops and specialized research skills deliver depth that generic chat models cannot match.
True Autonomy
Unlike prompt-chained chatbots, Pierce thinks before it acts. It plans, executes, reflects, and corrects itself.
Self-Validation Layer
Built-in verification loop where every claim is sourced from primary filings and verified datasets.
Deep Financial Methodologies
Pierce comes pre-loaded with 44 specialized research skills including DCF Valuations, CANSLIM, VCP, Comps Analysis, and rigorous Position Sizing.
Pierce Intelligence Catalog
Pierce executes structured financial analysis protocols using dedicated, modular skills. Switch categories to explore our institutional capabilities.
Featured Resources
Learn how to master prompting, configure automations, and optimize your overall workflow with Pierce.
What is Pierce?
Introduction to Pierce, a financial research agent, and its philosophical foundation.
Prompting Best Practices
How to effectively prompt Pierce for deep financial analysis.
Custom Pulses
How to automate repetitive research with scheduled Pulses.
Investor Profile & Personalization
How to customize Pierce with your investment style, risk tolerance, portfolio holdings, and system instructions.
Institutional Valuation.
Transparent Methodology.
Sample every skill free. See how Pierce analyzes financial statements, builds cash flow models, and self-checks every assumption.
Run a DCF valuation for AAPL.
Methodology & Sources
SEC EDGAR FY2024–FY2025 10-K Filings • Normalized Unlevered Free Cash Flow ($108.8B) • WACC 8.8% • Terminal Growth 3.0% • 10-Year Discrete Forecast Period.
Research Synthesis: Apple is trading within 3% of estimated intrinsic value. Sensitivity analysis shows intrinsic value spans $185 (conservative 9.5% WACC) to $252 (optimistic 8.0% WACC). The disciplined takeaway is to wait for a clearer margin of safety or evaluate peer valuation multiples before entering.
Frequently Asked Questions
Transparent by design. Direct institutional methodology. Here is exactly how Pierce orchestrates your research.
Your Edge Shouldn't Depend on Your Budget.
Institutional-grade agentic research. No terminal. No API keys.
Sample every skill free • Custom research from a credit load as low as $2.50 • No monthly plan required