Introduction
In the fast-moving world of public markets, staying ahead requires timely, accurate research. The F2N AI research agent offers a solution by running autonomous analysis every market day, delivering scheduled briefings, earnings alerts, SEC filing analysis, and live charts. This F2N review explores its features and value for investors.
What is F2N?
F2N is an autonomous AI research agent platform designed specifically for public markets. It replaces the manual, time-consuming process of gathering financial data by running automated workflows on a fixed schedule. Each agent pulls live data from trusted sources like Polygon.io, SEC EDGAR, FRED, and Polymarket, then generates cited, grounded research outputs. The platform solves the problem of outdated or hallucinated information—every answer is based on real numbers, not a model’s memory. F2N is built for individual investors, analysts, and traders who want consistent, verifiable market intelligence without the cost of institutional terminals. With pre-built agents for pre-market briefings, earnings monitoring, thesis tracking, and macro analysis, F2N delivers professional-grade market research to anyone with an internet connection.
Key Features of F2N
Autonomous Scheduled Briefings
F2N runs pre-built agents on a daily or weekly schedule. For example, the Morning Briefing agent scans your watchlist before the open, pulling overnight moves, macro calendar, and key alerts—all presented in a clean, cited report.
Earnings Beat/Miss Analysis
An earnings agent automatically scores every earnings report for companies you track. It identifies beat/miss metrics, CEO quotes, guidance changes, and tags signals so you can quickly assess a company’s performance.
Investment Thesis Tracking
This agent tracks supporting and contradicting evidence for your investment thesis. It surfaces what changed each week, citing sources like transcripts and SEC filings, helping you refine your conviction.
Macro Regime Monitoring
F2N monitors rate expectations, yield curves, VIX, and macroeconomic releases. When a regime shift occurs, the agent alerts you so you can adjust positions accordingly.
Sector Ranking and Value Detection
Sector-focused agents rank industries by fundamentals, flagging value entries and deteriorating positions. This helps identify opportunities or risks across sectors efficiently.
Custom Agent Builder
Describe your research task in plain language, and F2N builds a custom agent, picks the relevant tools, and runs it on your schedule. No coding required.
Open API and Plugin Integration
F2N exposes a clean API that any external agent (Hermes Agent, OpenClaw, or custom) can call to pull grounded market research. Conversely, a plugin lets your own agent create, schedule, and manage F2N loops autonomously.
Use Cases for F2N
Morning Pre-Market Preparation
Set your watchlist once. Every market day at 7 AM, F2N’s pre-built briefing agent delivers a concise pre-market read with overnight moves, macro events, and important alerts—saving you 30 minutes of manual scanning.
Earnings Season Monitoring
During earnings season, use the earnings agent to automatically score beats/misses, extract CEO commentary, and highlight guidance changes across all your holdings. No more hunting through transcripts manually.
Portfolio Thesis Validation
Regularly run the thesis tracking agent to check if new data supports or contradicts your investment thesis. It pulls evidence from SEC filings and earnings calls, updating you weekly on any shifts.
Macro Risk Assessment
Traders and portfolio managers can schedule the macro agent to monitor interest rate changes, volatility, and economic indicators. The agent sends alerts when regime shifts affect your positions.
How to Use F2N
- Sign up – Visit fn2.ai and create a free account. No credit card required.
- Set up your watchlist – Add the stocks, ETFs, or sectors you care about.
- Pick a pre-built agent – Choose from Morning Briefing, Earnings, Thesis Tracker, Macro, Sector Ranking, or describe your own.
- Set a schedule – Choose daily or weekly runs. F2N executes autonomously.
- Review the output – Each report shows every tool called and every source cited. Adjust your watchlist or agent parameters anytime.
Target Audience for F2N
- Individual retail investors who want institutional-quality research without the cost.
- Active traders needing daily pre-market intelligence and earnings alerts.
- Financial analysts looking for automated SEC filing and transcript analysis.
- Portfolio managers who require ongoing macro monitoring and thesis validation.
- Quantitative researchers who want to integrate live market data into their own AI agents.
Is F2N Free?
F2N offers a free tier that lets you set up and run agents without a credit card. The free plan includes access to pre-built agents and basic scheduling. For advanced features like custom agents, higher frequency scheduling, and API access, paid plans are available. Detailed pricing is listed on the official website.
| Plan | Price | Features |
|---|---|---|
| Free | $0 | Pre-built agents, daily scheduling, basic watchlist, cited outputs |
| Pro (Professional) | Check website | Custom agents, increased run frequency, API access, advanced analytics |
F2N's Pros and Cons
| Aspect | Pros | Cons |
|---|---|---|
| Ease of Use | Pre-built agents run autonomously; setup takes 30 seconds | Custom agent builder may have a slight learning curve |
| Data Accuracy | Every output is grounded in live data from verified sources; no hallucinations | Relies on third-party data integrations (Polygon, SEC, etc.) |
| Coverage | Multiple agents for earnings, macro, thesis, sectors | Limited to public US markets; international coverage may vary |
| Cost | Free tier available; no credit card required | Advanced features require a paid subscription; pricing not fully transparent |
| Transparency | Every tool call and source is shown in each report | Reports can be detailed; might overwhelm users who only want summaries |
Frequently Asked Questions about F2N
What makes F2N different from a chatbot like ChatGPT?
F2N is not a general chatbot. It runs autonomous research agents on a fixed schedule, pulling live data from financial sources. Every answer is cited and grounded in real numbers, not a model’s memory. It provides scheduled briefings and alerts, not one-off conversations.
Can I use F2N to get real-time stock prices?
Yes. F2N integrates with Polygon.io for real-time market data. Agents can pull live quotes, volume, and fundamentals on demand. However, the platform is optimized for scheduled research runs, not continuous streaming.
Does F2N support international markets?
Currently, F2N focuses on US public markets. The data pipeline covers SEC filings, US-listed stocks, and US macro indicators (FRED). International coverage may be limited, but the API can be extended with additional sources.
Is my data safe with F2N?
F2N treats watchlists and agent configurations as private. The platform does not share user data. All research outputs are generated from public data sources. For detailed security policies, refer to the official website.
How often can F2N run agents?
Agents can be scheduled to run every market day (e.g., morning briefings) or weekly (e.g., thesis tracking). The free plan likely has a limit on concurrent runs, while paid plans offer higher frequency scheduling.
Can I connect F2N to my own trading or analysis tools?
Yes. F2N provides an open API that any agent framework can call. Additionally, a plugin allows external agents to create and manage F2N loops. This enables integration with custom trading bots or dashboards.
F2N Tags
F2N, AI research agent, autonomous market research, earnings alerts, SEC filing analysis, pre-market briefings, investment thesis tracking, macro monitoring, financial data API, live stock data, automated research tool, portfolio analysis software
