How are results paged?

60 companies per page. Set start_page to move on and max_items (up to 250) to cap the run.

Do I pay for lookups that come back empty?

No. You are charged per result, so a request that finds nothing costs nothing. Testing this against a messy list is free to get wrong.

What does a request cost?

1 point per returned record, which is $1 per 1,000, and only records that come back are charged. Points come out of your monthly plan allowance.

Startup & Funding Data

Dealroom Company Search API and MCP — Companies by Keyword, Tier, Sector and Country

Send a keyword and/or filters for tier, sector and country and get the matching Dealroom companies back: name, tier, sector, headquarters, founding year, a numeric valuation with a short range label, a logo and the Dealroom link. At least one of keyword, tier, sector or country is required. You can also sort by valuation, alphabetical order or founding year.

Run it in the app Read the API docs

You send: a keyword and/or a tier, sector or country filter (at least one is required), plus how many companies you want
You get back: name, tier, sector, HQ, founding year, numeric valuation and range, logo and Dealroom link for each matching company
Coverage: Dealroom records with a public page.
Price: 1 point per returned record — $1 per 1,000; Billed per record actually returned, capped by max_items. A request that returns nothing costs nothing.

Comparison

Ways to get this data

Three approaches teams use today, and where each one runs into trouble.

Approach	What it takes	Cost	Trade-off
Dealroom directly	Type the query into Dealroom and read the results	Free, and slow	Fine for one record, useless across a list, and the layout differs on every platform
Building a scraper	Write it, host it, and repair it when Dealroom changes its pages	Engineering time	A maintenance commitment for something that isn't your product
NeuralVerge	One request, the same shape as every other source in the catalog	$1 per 1,000, misses not billed	Returns what Dealroom publishes at request time. Other platforms are separate sources with the same request format

Response

What you get back

Every field in the example response below.

Field	Type	Description
`session_id`	string	Id of this run, for tracing.
`kind`	string	Source type of the response.
`keyword`	string	The keyword you sent.
`max_items`	number	The cap you sent on returned records.
`start_page`	number	First page read.
`partial`	boolean	True when the run stopped before reaching max_items.
`human`	string	Readable summary: query, result count and a traffic line.
`machine.total_items`	number	Number of records returned in this response.
`machine.items[]`	array	The returned records, each with the fields listed below.
`machine.first_item`	object	A copy of the first record in items[], for a quick read.
`machine.total_found`	number\|null	Total matches when the platform reports one; null when it does not.
`machine.page_count`	number	Pages read for this response.
`machine.blocked`	boolean	True if the platform refused the read.
`machine.proxy_traffic_bytes`	number	Traffic used by the run, in bytes.
`total_points`	number	Points charged: 1 per returned record.
`machine.first_item.id`	string	Company slug on Dealroom.
`machine.first_item.name`	string	Company name.
`machine.first_item.url`	string	Link to the company page on Dealroom.
`machine.first_item.alias`	string	Same slug as id.
`machine.first_item.tier`	string	Dealroom tier, e.g. Listed.
`machine.first_item.sector`	string	Sector, e.g. Fintech.
`machine.first_item.hq`	string	Headquarters, city and country.
`machine.first_item.country`	string	Headquarters country.
`machine.first_item.founded_year`	number	Year founded.
`machine.first_item.valuation`	number	Valuation as a number in dollars.
`machine.first_item.valuation_range`	string	The same valuation as a short label, e.g. $1.18T.
`machine.first_item.exit_note`	string	Exit note, e.g. IPO 1983.
`machine.first_item.logo`	string	Logo image link.

Response

Example response

A real response, as returned.

{
  "session_id": "11111111-1111-1111-1111-111111111111",
  "kind": "dealroom_companies_search",
  "keyword": "fintech",
  "max_items": 2,
  "start_page": 1,
  "partial": false,
  "human": "# Dealroom — companies search\n\n- **Query:** keyword=fintech\n- **Results:** 2 of 7913 found\n- **Proxy traffic:** 17.4 KB",
  "machine": {
    "total_items": 2,
    "first_item": {
      "id": "berkshire-hathaway-corp-",
      "name": "Berkshire Hathaway",
      "url": "https://dealroom.co/companies/berkshire-hathaway-corp-/",
      "alias": "berkshire-hathaway-corp-",
      "tier": "Listed",
      "sector": "Fintech",
      "hq": "Omaha, United States",
      "country": "United States",
      "founded_year": 1839,
      "valuation": 1180000000000,
      "valuation_range": "$1.18T",
      "exit_note": "IPO 1983",
      "logo": "https://storage.googleapis.com/dealroom-images-production/2026/09/26/a1b40123091158d6c35609cf6ac1cfb5.png"
    },
    "items": [
      {
        "id": "berkshire-hathaway-corp-",
        "name": "Berkshire Hathaway",
        "url": "https://dealroom.co/companies/berkshire-hathaway-corp-/",
        "alias": "berkshire-hathaway-corp-",
        "tier": "Listed",
        "sector": "Fintech",
        "hq": "Omaha, United States",
        "country": "United States",
        "founded_year": 1839,
        "valuation": 1180000000000,
        "valuation_range": "$1.18T",
        "exit_note": "IPO 1983",
        "logo": "https://storage.googleapis.com/dealroom-images-production/2026/09/26/a1b40123091158d6c35609cf6ac1cfb5.png"
      },
      {
        "id": "jpmorgan",
        "name": "JP Morgan",
        "url": "https://dealroom.co/companies/jpmorgan/",
        "alias": "jpmorgan",
        "tier": "Listed",
        "sector": "Fintech",
        "hq": "New York City, United States",
        "country": "United States",
        "founded_year": 1799,
        "valuation": 883528000000,
        "valuation_range": "$884B",
        "exit_note": "IPO 1983",
        "logo": "https://storage.googleapis.com/dealroom-images-production/2023/01/19/9726f27cce6233556b25070db8642dd3.png"
      }
    ],
    "total_found": 7913,
    "page_count": 1,
    "blocked": false,
    "proxy_traffic_bytes": 17803
  },
  "total_points": 2
}

Integration

How to run it

The same lookup works from the app, the API, or as a tool an agent can call mid-task.

Results come back in the same envelope as every other source: a session id, a readable summary, the structured result and the points charged. max_items caps how many records are returned and billed.

curl -X POST https://api.neuralverge.ai/functions/v1/run-dealroom-companies-search \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"keyword":"fintech","max_items":2}'

Use cases

What teams use it for

Where this field shows up in an actual workflow.

Unicorn and tier lists

Filter by a tier such as Unicorn or Decacorn and a country to list the matching companies.

Sector mapping

Pull companies in a sector such as AI or Cybersecurity, sorted by valuation.

Prospecting

Build a list of companies by country and sector, then look up the ones worth a closer read.

Market sizing context

Use total_found with a filter to see how many companies Dealroom lists for a segment.

Coverage & limits

Coverage, freshness and limits

What this source covers, how fresh it is, and where it stops.

Coverage

Dealroom records with a public page.

Freshness

Read at request time, so the answer reflects the platform as it stands when you ask.

Handling

This source returns information Dealroom shows publicly. Every response carries the session id you can trace.

What it will not do

—Search results carry a summary row. Investors, funding events and ownership are in Dealroom company.
—At least one of keyword, tier, sector or country is required, so an empty search is rejected.
—Sector, tier and valuation are Dealroom's own labels and figures, returned as given.

FAQ

Questions, answered

Keyword, tier (e.g. Unicorn, Decacorn, Listed), sector (e.g. Fintech, AI, Energy) and country, with sort set to valuation, alphabetical or founded.

Related sources

Dealroom company

Tagline, HQ, founding year, sector, tier, valuation, revenue and headcount ranges, investors by round, ownership, funding events, alumni founders, footprint and investments.

Dealroom investor search

Name, type, country, HQ, portfolio companies, rank and Dealroom link for each investor, ordered by Dealroom rank.

Dealroom investor

Type, HQ, rank, portfolio, unicorn and investment counts, links, biggest holdings, exits, portfolio analysis, market map, similar investors and key people.

All startup & funding data

Startup directories, funding databases, launch platforms and investor data.

Try dealroom company search on your own data

One request format across every source in the catalog.

Get started