Map a market in an afternoon, not a quarter
Who is in the category, who is getting funded, what buyers praise and complain about, where the gaps are. Your agent pulls it from company, funding and review data read at request time, and writes it up with sources you can check.
What you ask, and what comes back
“List the companies selling AI note-taking software to sales teams, with founding year, funding stage and how buyers rate them.”
A landscape table you can sort, filter and argue about — instead of a list from memory.
| Company | Founded | Stage | Buyer rating |
|---|---|---|---|
| Notely | 2019 | Series B | 4.6 · 820 reviews |
| Callnote | 2021 | Series A | 4.4 · 210 reviews |
| Recapio | 2022 | Seed | 4.7 · 64 reviews |
| Minutely | 2018 | Series C | 4.2 · 1,100 reviews |
Illustrative output — company and contact names are fictional.
Expensive reports, scattered tabs, opinions as data
Market research usually means paying for a report that is already dated, or a week of browsing that ends in a slide nobody can source.
Paid reports are thorough and slow. By the time you read one, the category has new entrants, new rounds and new pricing.
Your agent pulls company, funding and review data at request time, so the map reflects what the sources show now — and you can rebuild it next month in minutes.
Software directories, funding databases, review sites and company websites — each read by hand and copied into a sheet that is out of date by Friday.
Category lists, company profiles, funding, reviews and page extraction sit behind one tool interface, so the agent assembles the table for you.
“They're the market leader” ends up in the deck, and nobody remembers where it came from.
Research runs return synthesized answers with inline citations, and data sources return the record each number came from — so every claim can be checked.
Start in three steps
Add NeuralVerge to Claude, ChatGPT, Cursor or any MCP client. For deeper cited research, call research runs over REST.
Name the category, the region and what you want to know. The agent finds the players, funding and reviews.
Get a structured landscape you can filter and chart, with the source behind each row — in a sheet, a doc or the chat.
Claude Code and Claude Desktop: run this once. It registers NeuralVerge as an HTTP MCP server, and its tools appear in your next conversation. Replace YOUR_ACCESS_TOKEN with your NeuralVerge token.
claude mcp add --transport http neuralverge \ https://api.neuralverge.ai/functions/v1/mcp-server \ --header "Authorization: Bearer YOUR_ACCESS_TOKEN"
Keep the market map current
Markets move. Schedule the same research in your agent and get the changes, not a fresh report to re-read.
Know who entered and who raised.
- New launches in your categorySlack
- Funding rounds in your categorySlack
A landscape that never goes stale.
- Refresh the market mapSheet
- Review sentiment by productDoc
Plan on this quarter's market.
- Cited category brief for the boardDoc
Schedules run in your agent or your own code. NeuralVerge answers the lookups; it does not run or send anything on its own.
The sources this runs on
Software categories and markets, company profiles, and buyer reviews and ratings.
See the sourcesStartups, funding rounds, investors and product launches.
See the sourcesOfficial company records when you need legal entities, not just brands.
See the sourcesProducts, prices and reviews for consumer categories.
See the sourcesCommon questions
It can gather the inputs: who the players are, their headcount and funding, how many products sit in a category. The sizing model is still yours; the agent can help build it, but treat any single market-size figure as an estimate and check its sources.
Know the market before you commit to it
Players, funding, launches and buyer reviews, with sources — from the agent you already use.