Market sizing that shows its work, not just a number
TAM/SAM/SOM that shows its work — top-down and bottom-up, every figure traced back to the source it came from.
Top-down and bottom-up TAM/SAM/SOM with every figure traced back to the source it came from.
The problem isn't finding a number. It's defending it.
Anyone can paste "$47B market growing at 12% CAGR" into a deck. The hard part is the partner who asks where that came from, whether it's revenue or units, what year the base is, and why your SAM is a third of TAM instead of a tenth. A single unsourced figure can sink a whole diligence call.
This agent does the part that actually takes days: it searches across analyst summaries, government statistics, company filings, and trade-body reports, browses the full pages instead of trusting a snippet, and reconciles the conflicting numbers it finds. When two sources disagree on the base, it tells you both and which one it used.
What it pulls together into one brief:
- Top-down sizing from published market reports, with the report, year, and definition next to each figure
- Bottom-up sizing from unit counts, ARPU, and penetration — the build it can defend line by line
- A SAM/SOM narrowing with the geography and segment filters spelled out, not assumed
- Competitor revenue and share scraped from filings, press, and pricing pages
- A live data pull from any REST API you point it at — census, Crunchbase, a stats portal — folded into the same model
The output is a cited brief and a Sheets model you can hand to an investor or a board, where every assumption has a footnote and you can change one input and watch the rest move.
Related pages in this workflow
These pages cover the adjacent jobs buyers usually compare before choosing an AI agent.
- AI News Briefing Agent — One briefing every morning, built around your world: your industry, your tickers, your topics — scanned, summarized, and waiting in your inbox.
- AI Market Research Agent — A cited competitive briefing in your inbox on the cadence you set — competitors watched, trends tracked, a source behind every line.
- AI Research Agent — Hours of digging, back in minutes: it reads the full sources and hands you a structured report with every claim cited.
- AI Research Analyst — Hand it a question and a deadline, get a brief that shows its work — figures, links, and the page each number came from.
- AI Policy Research Analyst — It reads the actual bill, not the press release — a sourced brief with section citations, agency dates, and the dissenting view.
- AI Legal Research Analyst — A memo where every claim has a link you can check: it searches the open web and reads the actual opinions and filings.
- AI Procurement Research Analyst — A sourcing request, back as a cited supplier brief: shortlisted vendors, pricing signals, and lead times, with a source behind each.
- AI Junior Consultant — Brief to deliverable in a single session: it runs the research, organizes the findings, and builds the deck and the client-ready PDF.
Frequently asked questions
Does it just make up a CAGR like other AI tools?
No. It only reports figures it found in a source it browsed, and it attaches that source to the figure. If it can't find a credible number, it says so rather than inventing one. The whole point is a brief that survives diligence.
Top-down or bottom-up?
Both, in the same brief. Top-down pulls from published market reports; bottom-up builds from unit counts, ARPU, and penetration. When the two methods diverge, that divergence is flagged so you know where the model is fragile.
Can it use a paid data source I subscribe to?
If it has a REST API and you give the agent the key, yes — it calls the endpoint with your auth and pulls the numbers in. For sites without an API it browses the pages directly, including JavaScript-heavy ones.
What do I actually get at the end?
A cited brief (every figure footnoted) plus a live Google Sheets model with editable TAM/SAM/SOM formulas. You can export the brief to PDF or forward the Sheet to whoever needs to poke at the assumptions.
Can it keep a market estimate current?
Yes. Set a scheduled task in plain language — say, monthly — and it re-runs the research, updates the model, and emails you a short note on what changed and why. You don't re-do the work each quarter.
How much does it cost?
$49/month or $490/year — cancel anytime. Setup takes about four minutes: name the agent, point it at your first market, and it runs the research while you watch.
AI research analysts by field
One research agent that searches, reads, and cites — pointed at the sources and questions your field cares about.
- AI Research Analyst (hub) — Hand it a question and a deadline, get a brief that shows its work — figures, links, and the page each number came from.
- AI Academic Research Analyst — It reads the papers, not just the abstracts — a synthesized brief with inline citations, source links, and the contradictions flagged.
- AI Brand Monitoring Analyst — Reads the whole thread, not the headline: it checks the sites you watch each morning and briefs you on what actually changed overnight.
- AI Competitive Intelligence Analyst — The whole market, read for you: it watches competitor pricing, changelogs, and job boards and drops a cited brief the moment something moves.
- 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.
- AI Due Diligence Analyst — Hand it a company name, get a brief you can trust: founders, funding, and litigation flags, each with a citation behind it.
- AI Equity Research Analyst — 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.
- AI Grant Research Analyst — Finds the grants you actually qualify for: it reads the RFP, checks your eligibility, and hands you a sourced one-pager with the ask and deadline.
- AI Healthcare Research Analyst — Ask a clinical question, get an answer you can defend: a structured brief where every claim links to the paper, trial, or guideline.
- AI Junior Consultant — Brief to deliverable in a single session: it runs the research, organizes the findings, and builds the deck and the client-ready PDF.
- AI Legal Research Analyst — A memo where every claim has a link you can check: it searches the open web and reads the actual opinions and filings.
- AI Market Research Agent — A cited competitive briefing in your inbox on the cadence you set — competitors watched, trends tracked, a source behind every line.
- AI News Briefing Agent — One briefing every morning, built around your world: your industry, your tickers, your topics — scanned, summarized, and waiting in your inbox.
- AI Policy Research Analyst — It reads the actual bill, not the press release — a sourced brief with section citations, agency dates, and the dissenting view.
- AI Procurement Research Analyst — A sourcing request, back as a cited supplier brief: shortlisted vendors, pricing signals, and lead times, with a source behind each.
- AI Real Estate Market Analyst — A neighborhood read in one sourced doc — comps, days-on-market, price per square foot, inventory trends — instead of twelve open tabs.
- AI Research Agent — Hours of digging, back in minutes: it reads the full sources and hands you a structured report with every claim cited.