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Startup & Funding Data

Dealroom Company API and MCP — Tier, Valuation Range, Investors, Ownership, Footprint

Send a Dealroom company slug or link and get the company page as JSON: tagline, headquarters, founding year, sector, tier, valuation, revenue and headcount ranges, investors with the stage they came in at, ownership, news, alumni founders, workforce and web-traffic footprint, and the company's own investments.

Run it in the appRead the API docs
You send
a Dealroom company slug or the link to its page
You get back
tagline, HQ, founding year, sector, tier, valuation, revenue and headcount ranges, investors by round, ownership, funding events, alumni founders, footprint and investments
Coverage
Dealroom records with a public page.
Price
5 pts — $5 per 1,000
Charged only when the record resolves. A request that finds nothing is not billed.
Comparison

Ways to get this data

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

ApproachWhat it takesCostTrade-off
Dealroom directlyOpen the page on Dealroom and read itFree, and slowFine for one record, useless across a list, and the layout differs on every platform
Building a scraperWrite it, host it, and repair it when Dealroom changes its pagesEngineering timeA maintenance commitment for something that isn't your product
NeuralVergeOne request, the same shape as every other source in the catalog$5 per 1,000, misses not billedReturns 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.

FieldTypeDescription
session_idstringId of this run, for tracing.
kindstringSource type of the response.
companystringThe identifier you sent.
company_idstringThe company slug as Dealroom uses it.
humanstringReadable summary of the record.
machine.blockedbooleanTrue if the platform refused the read.
machine.pages_openednumberPages read for this record.
total_pointsnumberPoints charged for the run: 5.
machine.company.idstringCompany slug.
machine.company.aliasstringSame slug as id.
machine.company.namestringCompany name.
machine.company.urlstringLink to the company page on Dealroom.
machine.company.taglinestringOne-line description.
machine.company.logostringLogo image link.
machine.company.hqstringHeadquarters, city and country.
machine.company.citystringHeadquarters city.
machine.company.countrystringHeadquarters country.
machine.company.founded_yearnumberYear founded.
machine.company.sectorstringMain sector.
machine.company.sectors[]arrayAll sectors listed.
machine.company.tierstringDealroom tier, e.g. Centicorn.
machine.company.power_law_tiers[]arrayAll tiers the company holds.
machine.company.valuation_rangestringValuation range label, e.g. $100–500B.
machine.company.valuation_min / valuation_maxnumberBounds of the valuation range, in dollars.
machine.company.valuation_notestringWhen the valuation was last recorded.
machine.company.revenue_range / revenue_min / revenue_maxmixedRevenue range label and numeric bounds.
machine.company.headcount_range / headcount_min / headcount_maxmixedHeadcount range label and numeric bounds.
machine.company.valuation, revenue, employee_countnullNull in the sample; exact values are not shown without a login.
machine.company.description, status, industry, sub_industry, business_model, client_focusnullNull in the sample; not present on this record.
machine.company.total_funding_range / min / max, funding_events_countnullNull in the sample.
machine.company.website_url, linkedin_url, twitter_urlnullNull in the sample.
machine.company.investors_countnumberNumber of investors.
machine.company.investors[]arrayInvestors with name, Dealroom link and the stage they invested at.
machine.company.ownership[]arrayHolders with percentage and a detail line.
machine.company.funding_rounds[]arrayEmpty in the sample.
machine.company.news[]arrayItems with kind, title, link and published date.
machine.company.alumni_founders[]arrayCompanies founded by people who worked here: company, link, founded_year, founder, country, signal_score.
machine.company.alumni_founders_totalnumberTotal alumni founders.
machine.company.talentobjectCounts: employees_mapped, ai_specialists, key_operators, startup_mafia_companies.
machine.company.footprintobjectWorkforce (countries_with_presence, top_countries) and web_traffic (monthly_visits, top_countries) with share_pct.
machine.company.investments[]arrayInvestments the company has made: company, sector, year, month, kind, round, amount_million_usd, industries.
machine.company.growth_signals, dealroom_signal, open_positionsnullNull in the sample.
machine.company.similar_companies[]arrayEmpty in the sample.
Response

Example response

A real response, as returned.

{
  "session_id": "11111111-1111-1111-1111-111111111111",
  "kind": "dealroom_companies",
  "company": "revolut",
  "company_id": "revolut",
  "human": "# Dealroom — company\n\n- **Id:** revolut\n- **Pages opened:** 1\n- **Proxy traffic:** 166.0 KB\n- **Tagline:** Digital banking platform for global money management\n- **HQ:** London, United Kingdom\n- **Founded:** 2015\n- **Sector:** Fintech\n- **Tier:** Centicorn",
  "machine": {
    "company": {
      "id": "revolut",
      "alias": "revolut",
      "name": "Revolut",
      "url": "https://dealroom.co/companies/revolut/",
      "tagline": "Digital banking platform for global money management",
      "description": null,
      "logo": "https://storage.googleapis.com/dealroom-images-production/2025/09/21/2e120572df79761e39e343d9aef44b76.png",
      "hq": "London, United Kingdom",
      "city": "London",
      "country": "United Kingdom",
      "founded_year": 2015,
      "sector": "Fintech",
      "status": null,
      "tier": "Centicorn",
      "power_law_tiers": [
        "Centicorn",
        "Thoroughbred"
      ],
      "valuation_range": "$100–500B",
      "valuation_min": 100000000000,
      "valuation_max": 500000000000,
      "valuation_note": "Last recorded · Jul/2026",
      "revenue_range": "$5–10B",
      "revenue_min": 5000000000,
      "revenue_max": 10000000000,
      "headcount_range": "10–25k",
      "headcount_min": 10000,
      "headcount_max": 25000,
      "total_funding_range": null,
      "total_funding_min": null,
      "total_funding_max": null,
      "valuation": null,
      "revenue": null,
      "employee_count": null,
      "open_positions": null,
      "dealroom_signal": null,
      "industry": null,
      "sub_industry": null,
      "sectors": [
        "Fintech"
      ],
      "technologies": [],
      "business_model": null,
      "client_focus": null,
      "website_url": null,
      "linkedin_url": null,
      "twitter_url": null,
      "investors_count": 30,
      "investors": [
        {
          "name": "Point Nine",
          "url": "https://dealroom.co/investors/point-nine/",
          "stage": "Seed"
        },
        {
          "name": "Oliver Jung",
          "url": "https://dealroom.co/investors/oliver-jung/",
          "stage": "Seed"
        }
      ],
      "ownership": [
        {
          "holder": "Founders",
          "percentage": 31.8,
          "detail": "Vladyslav Yatsenko, Nikolay Storonsky"
        },
        {
          "holder": "Other Investors",
          "percentage": 16,
          "detail": "Coatue, D1 Capital, Lakestar, Ribbit Capital, Seedcamp, etc."
        }
      ],
      "funding_events_count": null,
      "funding_rounds": [],
      "news": [
        {
          "kind": "Analysis",
          "title": "UK fintech has raised $64B since 2016, second only to the United States",
          "url": "https://dealroom.co/resources/uk-fintech/",
          "published": "Sep 30, 2026"
        },
        {
          "kind": "News",
          "title": "Decagon’s 10x year:how Jesse Zhang scaled the team without lowering the bar",
          "url": "https://dealroom.co/news/talk-_90H-Zc5Sy4-decagons-10x-year-how-jesse-zhang-scaled-the-team-without-lowering-the-b/",
          "published": "Sep 30, 2026"
        }
      ],
      "alumni_founders": [
        {
          "company": "Modulr",
          "url": "https://dealroom.co/companies/modulr-finance/",
          "founded_year": 2015,
          "founder": "Nikolay Storonsky",
          "country": "United Kingdom",
          "signal_score": 96
        },
        {
          "company": "ARQ",
          "url": null,
          "founded_year": 2021,
          "founder": "Fernando Terrés",
          "country": "Mexico",
          "signal_score": 95
        }
      ],
      "alumni_founders_total": 12,
      "talent": {
        "employees_mapped": 19847,
        "ai_specialists": 149,
        "key_operators": 42,
        "startup_mafia_companies": 12
      },
      "footprint": {
        "workforce": {
          "countries_with_presence": 78,
          "top_countries": [
            {
              "country": "India",
              "share_pct": 27.9
            },
            {
              "country": "United Kingdom",
              "share_pct": 14.5
            }
          ]
        },
        "web_traffic": {
          "monthly_visits": 23000000,
          "top_countries": [
            {
              "country": "United Kingdom",
              "share_pct": 11.9
            },
            {
              "country": "France",
              "share_pct": 11.2
            }
          ]
        }
      },
      "growth_signals": null,
      "investments": [
        {
          "company": "Swifty",
          "sector": "Other",
          "year": 2025,
          "month": 10,
          "kind": "M&A",
          "round": "M&A",
          "amount_million_usd": null,
          "industries": [
            "travel"
          ]
        },
        {
          "company": "Tilt",
          "sector": "Marketing",
          "year": 2024,
          "month": 8,
          "kind": "Venture",
          "round": "Series A",
          "amount_million_usd": 18,
          "industries": [
            "media",
            "marketing"
          ]
        }
      ],
      "similar_companies": []
    },
    "blocked": false,
    "pages_opened": 1,
    "proxy_traffic_bytes": 169978
  },
  "total_points": 5
}
Integration

How to run it

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

One record per request. Results come back in the same envelope as every other source: a session id, a readable summary, the structured result and the points charged.

curl -X POST https://api.neuralverge.ai/functions/v1/run-dealroom-companies \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"company":"revolut"}'
Use cases

What teams use it for

Where this field shows up in an actual workflow.

Company due diligence

Read tier, ranges, investors and ownership for one company in a single call.

Investor mapping

See which funds back a company and at which stage they came in.

Talent and founder sourcing

Use alumni_founders to find companies started by former employees.

Competitive context

Compare valuation and headcount ranges across companies you track.

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
  • —Valuation, revenue and headcount are ranges. Dealroom shows ranges, not exact values, without a login.
  • —Several fields are null or empty on a given record, as in the sample (funding rounds, website link, description). Treat missing as not shown, not as zero.
  • —Alumni founders and ownership details name individuals as Dealroom lists them. The page adds no profile of them.
FAQ

Questions, answered

No. Dealroom shows ranges, not exact values, without a login. The response gives the range label plus numeric min and max.

Related

Related sources

Dealroom company search

Name, tier, sector, HQ, founding year, numeric valuation and range, logo and Dealroom link for each matching company.

Dealroom investor

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

Dealroom investor search

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

All startup & funding data

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

Try dealroom company on your own data

One request format across every source in the catalog.

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