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Startup & Funding Data

Dealroom Investor API and MCP — Rank, Portfolio, Holdings, Exits, Market Map

Send a Dealroom investor slug or link and get the investor page as JSON: type and roles, headquarters, founding year, website and social links, rank, portfolio and investment counts, biggest holdings, exits, a portfolio breakdown, a market map, similar investors and key people.

Run it in the appRead the API docs
You send
a Dealroom investor slug or the link to its page
You get back
type, HQ, rank, portfolio, unicorn and investment counts, links, biggest holdings, exits, portfolio analysis, market map, similar investors and key people
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.
investorstringThe identifier you sent.
investor_idstringThe investor 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.investor.id / aliasstringInvestor slug.
machine.investor.namestringInvestor name.
machine.investor.urlstringLink to the investor page on Dealroom.
machine.investor.typestringInvestor type, e.g. Venture Capital.
machine.investor.roles[]arrayRoles, e.g. Venture capital, Limited partner.
machine.investor.descriptionstringShort description.
machine.investor.logostringLogo image link.
machine.investor.founded_yearnumberYear founded.
machine.investor.hq / city / countrystringHeadquarters, city and country.
machine.investor.website_url / linkedin_url / twitter_urlstringLinks to the investor's site and social pages.
machine.investor.ranknumberDealroom rank.
machine.investor.rank_notestringContext for the rank.
machine.investor.portfolio_companiesnumberCompanies in the portfolio.
machine.investor.portfolio_growth_notestringPortfolio growth note.
machine.investor.portfolio_companies_trackednumberPortfolio companies Dealroom tracks.
machine.investor.unicorns / decacorns / thoroughbredsnumberCounts of portfolio companies by tier.
machine.investor.investments_countnumberNumber of investments.
machine.investor.last_investmentstringMonth of the latest investment.
machine.investor.reported_assets, assets_rank, pension_detailsnullNull in the sample; they apply to other investor types.
machine.investor.news[]arrayItems with kind, title, link and published date.
machine.investor.holdings_named_count / holdings_estimated_valuemixedNumber of named holdings and their estimated total value.
machine.investor.biggest_holdings[]arrayHoldings: rank, company, link, sector, tier, stake_pct, company_valuation, estimated_value.
machine.investor.exits[]arrayExits: company, link, exit_value, exit_type, year, entry_stage, value_now, sector.
machine.investor.portfolio_analysisobjectCounts by_country, by_sector, by_stage_entered and by_growth_stage.
machine.investor.market_map[]arrayPortfolio companies with sector, tier and valuation.
machine.investor.portfolio_foundersobjectFounder counts by locations, universities and previous companies.
machine.investor.similar_investors[]arraySimilar investors: name, type, city, rank, portfolio_companies, portfolio_value.
machine.investor.key_people[]arrayPeople: name, role, profile link and photo link.
Response

Example response

A real response, as returned.

{
  "session_id": "11111111-1111-1111-1111-111111111111",
  "kind": "dealroom_investors",
  "investor": "500-global",
  "investor_id": "500-global",
  "human": "# Dealroom — investor\n\n- **Id:** 500-global\n- **Pages opened:** 1\n- **Proxy traffic:** 320.3 KB\n- **Type:** Venture Capital\n- **HQ:** Palo Alto, United States\n- **Founded:** 2010\n- **Rank:** 6\n- **Portfolio companies:** 3660",
  "machine": {
    "investor": {
      "id": "500-global",
      "alias": "500-global",
      "name": "500 Global",
      "url": "https://dealroom.co/investors/500-global/",
      "type": "Venture Capital",
      "roles": [
        "Venture capital",
        "Limited partner"
      ],
      "description": "Formerly 500 StartUps. One of the world's most active global venture capital firms uplifting underserved economies and investing in the world's potential",
      "logo": "https://storage.googleapis.com/dealroom-images-production/2023/01/23/ac2d07da9ffe5401055186d4a437a23e.png",
      "founded_year": 2010,
      "hq": "Palo Alto, United States",
      "city": "Palo Alto",
      "country": "United States",
      "website_url": "http://500.co/",
      "linkedin_url": "https://www.linkedin.com/company/500global/",
      "twitter_url": "https://twitter.com/500globalvc",
      "rank": 6,
      "rank_note": "Top 0.1% of investors worldwide",
      "portfolio_companies": 3660,
      "portfolio_growth_note": "+23% in 5 years",
      "portfolio_companies_tracked": 2321,
      "unicorns": 69,
      "decacorns": 8,
      "thoroughbreds": 72,
      "investments_count": 3020,
      "last_investment": "Jul 2026",
      "reported_assets": null,
      "assets_rank": null,
      "pension_details": null,
      "news": [
        {
          "kind": "News",
          "title": "erad raises $22M Series A to expand SME financing across the Gulf",
          "url": "https://dealroom.co/news/157203-erad-raises-22m-series-a-to-expand-sme-financing-across-the-gulf/",
          "published": "Sep 28, 2026"
        },
        {
          "kind": "News",
          "title": "BRKZ raises $13M Series B to expand AI-powered building materials procurement",
          "url": "https://dealroom.co/news/150570-brkz-raises-13m-series-b-to-expand-ai-powered-building-materials-procure/",
          "published": "Sep 14, 2026"
        }
      ],
      "holdings_named_count": 8,
      "holdings_estimated_value": "$655M",
      "biggest_holdings": [
        {
          "rank": 1,
          "company": "Talkdesk",
          "url": "https://dealroom.co/companies/talkdesk/",
          "sector": "Enterprise Software",
          "tier": "Decacorn",
          "stake_pct": 3.5,
          "company_valuation": "$10.0B",
          "estimated_value": "$350M"
        },
        {
          "rank": 2,
          "company": "SmartHR",
          "url": "https://dealroom.co/companies/smarthr/",
          "sector": "Enterprise Software",
          "tier": "Unicorn",
          "stake_pct": 6.5,
          "company_valuation": "$1.6B",
          "estimated_value": "$101M"
        }
      ],
      "exits": [
        {
          "company": "Grab",
          "url": "https://dealroom.co/companies/grab/",
          "exit_value": "$40B",
          "exit_type": "IPO",
          "year": 2021,
          "entry_stage": "Series A",
          "value_now": "$11B",
          "sector": "Food"
        },
        {
          "company": "Twilio",
          "url": "https://dealroom.co/companies/twilio/",
          "exit_value": "$2.0B",
          "exit_type": "IPO",
          "year": 2016,
          "entry_stage": "Series B+",
          "value_now": "$35B",
          "sector": "Marketing"
        }
      ],
      "portfolio_analysis": {
        "by_country": [
          {
            "name": "USA",
            "count": 1802
          },
          {
            "name": "Mexico",
            "count": 169
          }
        ],
        "by_sector": [
          {
            "name": "Fintech",
            "count": 578
          },
          {
            "name": "Enterprise Software",
            "count": 561
          }
        ],
        "by_stage_entered": [
          {
            "name": "Seed",
            "count": 1862
          },
          {
            "name": "Series A",
            "count": 313
          }
        ],
        "by_growth_stage": [
          {
            "name": "Early Growth",
            "count": 2819
          },
          {
            "name": "Breakout Stage",
            "count": 628
          }
        ]
      },
      "market_map": [
        {
          "company": "Grab",
          "url": "https://dealroom.co/companies/grab/",
          "sector": "Food",
          "tier": "Decacorn",
          "valuation": "$11B"
        },
        {
          "company": "Stripe",
          "url": "https://dealroom.co/companies/stripe/",
          "sector": "Fintech",
          "tier": "Centicorn",
          "valuation": "$159B"
        }
      ],
      "portfolio_founders": {
        "locations": [
          {
            "name": "United States",
            "count": 86
          },
          {
            "name": "India",
            "count": 13
          }
        ],
        "universities": [
          {
            "name": "Stanford University Graduate School of Business",
            "count": 12
          },
          {
            "name": "Massachusetts Institute of Technology",
            "count": 11
          }
        ],
        "previous_companys": [
          {
            "name": "Alphabet | Google",
            "count": 10
          },
          {
            "name": "Boston Consulting Group",
            "count": 5
          }
        ]
      },
      "similar_investors": [
        {
          "name": "Sequoia",
          "type": "Venture Capital",
          "city": "Menlo Park",
          "country": null,
          "lp_rank": null,
          "rank": 3,
          "portfolio_companies": 1921,
          "portfolio_value": "$23T"
        },
        {
          "name": "Techstars",
          "type": "Accelerator",
          "city": "New York City",
          "country": null,
          "lp_rank": null,
          "rank": 855,
          "portfolio_companies": 2278,
          "portfolio_value": "$249B"
        }
      ],
      "key_people": [
        {
          "name": "Christine Tsai",
          "role": "Chief Executive Officer & Founding Partner",
          "profile_url": "https://500.co/team",
          "photo": "https://dealroom.co/investors/_assets/people/christine-tsai.jpg"
        },
        {
          "name": "Courtney Powell",
          "role": "Chief Operating Officer & Managing Partner",
          "profile_url": "https://500.co/team",
          "photo": "https://dealroom.co/investors/_assets/people/courtney-powell.jpg"
        }
      ]
    },
    "blocked": false,
    "pages_opened": 1,
    "proxy_traffic_bytes": 327992
  },
  "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-investors \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"investor":"500-global"}'
Use cases

What teams use it for

Where this field shows up in an actual workflow.

Fundraising targeting

Read an investor's stage mix, sector focus and recent activity before approaching them.

Portfolio overlap

Check biggest holdings and market map to see where an investor already has a position.

Fund benchmarking

Compare rank, unicorn counts and exits across investors you follow.

Co-investor discovery

Use the similar investors list to widen a target list.

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
  • —Holding values and stakes are as Dealroom states them, many of them estimated. Check the label before using a figure.
  • —Some fields are null for venture firms, such as reported assets and pension details, which relate to other investor types.
  • —key_people lists named individuals with role and photo link. Use them as the platform states them; the page does not profile anyone.
FAQ

Questions, answered

Counts of portfolio companies by country, sector, entry stage and growth stage.

Related

Related sources

Dealroom investor search

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

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 company search

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

All startup & funding data

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

Try dealroom investor on your own data

One request format across every source in the catalog.

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