An AI equity research analyst that shows its sources
Hand it a ticker, get a cited brief — built from the 10-K, the latest call, and live multiples, every claim linked to its source.
Hand it a ticker; get back a cited brief built from the 10-K, the last call transcript, and live multiples — every claim linked to where it came from.
From ticker to defensible brief without the 40-tab afternoon
The grunt work of a first look is always the same: pull the latest 10-K, find the revenue bridge in the MD&A, read what management actually said on the last call versus the quarter before, then sanity-check the multiple against three comps. Two hours of tab-juggling before you've formed a single opinion.
The agent does the gathering and the first pass. Give it a ticker and a question — "is the margin compression structural or a one-off?" — and it browses the filing, reads the call transcript, pulls comparable EV/EBITDA from a screen you point it at, and comes back with a brief where every number is a clickable source, not a vibe.
What it actually produces:
- An initiation or update brief: thesis, segment breakdown, the bull and bear case, and the two or three numbers the whole call hinges on
- A comps table written to a Google Sheet, with the screen criteria and pull date in the header so it's auditable
- Side-by-side language deltas: what the CFO said about guidance this quarter versus last, quoted verbatim
- A watchlist in a private datastore that it re-checks on a schedule and flags when an 8-K or a >5% move lands
- An emailed morning note covering only your names, drafted overnight and waiting in your inbox
It does not replace your judgment or your model — it does the reading and the citing so the two hours you spend are on the thesis, not on finding the page number. You read every brief; the difference is it arrives sourced.
Related pages in this workflow
These pages cover the adjacent jobs buyers usually compare before choosing an AI agent.
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Frequently asked questions
Does it pull data from EDGAR and IR transcript pages directly?
Yes. It browses the live filing and transcript pages — including the JavaScript-heavy IR sites that break simple scrapers — and works from those primary documents. It does not transcribe live audio; it reads published transcripts and filings.
Can I make it use my own market-data feed?
Yes. It can call any REST API with your custom auth — a fundamentals or pricing provider, your data vendor, an internal endpoint — and use the response in the same brief and comps sheet.
How do I check its numbers?
Every figure in the brief links to its source: the filing page, the transcript section, or the row in the Google Sheet it built. You click through and verify; nothing is stated without a citation to open.
Will it write my investment thesis for me?
It writes the first-pass brief — the gathering, the segment math, the bull/bear framing, the quoted deltas. The thesis and the model stay yours. It removes the reading-and-citing hours, not the judgment.
Can it monitor a coverage list on its own?
Yes. Keep tickers in a watchlist and schedule it to re-check on a cadence. It catches new filings, upcoming earnings dates, and large moves, and can email you a sourced note before the open.
How much does it cost?
$49/month or $490/year — cancel anytime Setup takes about four minutes — connect your sources, point it at a few names, and it's drafting briefs. It's in public beta.
AI research analysts by field
One research agent that searches, reads, and cites — pointed at the sources and questions your field cares about.
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- AI Data Analyst Agent — A data team without the headcount: point it at a CSV or Sheet and ask in plain language — it cleans, charts, and answers, with full undo.
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