FN2 AI

AI Finance Modeling Tools

FN2 AI runs scheduled, source-backed stock and macro research agents—so you get briefings, earnings monitoring, and thesis tracking before you check the market.

FN2 AI screenshot

What does FN2 AI do?

FN2 AI is a curated AI market analyst that automates daily research for your watchlists. Set your priorities once, and FN2 runs structured agents on a fixed schedule—delivering what changed with visible sources and tool steps on every run.

Choose a pre-built agent like Morning Briefing (premarket watchlist updates and alerts), Earnings Monitor (beat/miss scorecards, CEO quotes, guidance changes), Thesis Tracker (supporting vs. contradicting evidence surfaced for the week), Macro Watchdog (macro releases and regime-shift alerts), or Sector Scanner (fundamentals-based sector ranking with value entries and deteriorating positions). You can also create a Custom Agent by describing what you want in your own words, then schedule it to run on your timetable.

FN2 builds each response on live, verifiable inputs rather than model memory, using public data sources such as Polygon.io for market data, SEC EDGAR for filings and earnings calendar data, and FRED for macro indicators. Runs are grounded in real numbers, and every agent loop shows the tools it calls and the sources it pulls.

What does FN2 AI automate for investors?

FN2 AI automates market research workflows by running scheduled agents against live data—such as premaket watchlist briefings, earnings monitoring, macro alerts, and thesis evidence tracking.

How do FN2’s agents run—are they just chat prompts?

No. Each agent is a structured workflow (a loop) that calls tools, reads results, and decides the next step, then outputs grounded findings on a fixed schedule.

Do FN2’s outputs include sources and transparency?

Yes. Each run shows the tools it calls and the sources it pulls, so you can verify where the information came from.

What data does FN2 use to ground research?

FN2 uses public, verifiable sources including Polygon.io for market data, SEC EDGAR for filings and earnings-related data, and FRED for macro indicators (plus earnings transcript data and real-time headlines).

Can I run research on a schedule other than the pre-built times?

Yes. You can set a custom schedule for a pre-built agent or describe your own requirements to generate a Custom Agent that runs on your chosen timetable.

Does FN2 offer an API or way to bring my own agent?

Yes. FN2 exposes an open API so you can point agents at grounded market research, with answers sourced from live data; it can also integrate via an FN2 plugin to help manage scheduled FN2 loops.

Last modified
Jul 25, 2026
Date listed
Jul 25, 2026