Can I get the unicorns of the country?

Yes. unicorns_url links to the list, and Tracxn unicorn search returns the companies for a country name.

Is this per city or per country?

The sample is a country page. Send the link of whichever geography page you want.

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?

5 points per successful run, which is $5 per 1,000, and only runs that return data are charged. Points come out of your monthly plan allowance.

Startup & Funding Data

Tracxn Geography API and MCP — Country Startup Landscape, Top Companies, Recent Rounds

Send a Tracxn geography link, such as the India page, and get that country's startup landscape as structured JSON: company, funding, unicorn, IPO and acquisition totals, top companies, top investors with their leading portfolio companies, recent funding rounds, acquisitions, IPOs and news.

Run it in the app Read the API docs

You send: the link to a Tracxn country page, or its id token
You get back: the country's startup totals, top companies and investors, recent funding rounds, acquisitions, IPOs and news
Coverage: Tracxn 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.

Approach	What it takes	Cost	Trade-off
Tracxn directly	Browse Tracxn and note each entry	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 Tracxn 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	$5 per 1,000, misses not billed	Returns what Tracxn 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.
`geography`	string	The identifier you sent.
`geography_id`	string	The geography path and id token as Tracxn uses it.
`human`	string	Readable summary of the record.
`total_points`	number	Points charged for the run.
`machine.geography`	object	The record; its keys are listed below.
`machine.blocked`	boolean	Whether the platform refused the request.
`machine.pages_opened`	number	Platform pages read for the run.
`machine.proxy_traffic_bytes`	number	Size of the data transferred for the run, in bytes.
`machine.geography.id / alias / url`	string	Tracxn id token, slug and page link.
`machine.geography.name`	string	Country name.
`machine.geography.description`	string	Overview text, cut short in the sample.
`machine.geography.key_metrics`	object	The metrics block as text: total companies, funding, funded companies, Series A and C companies, unicorns, IPOs, acquisitions.
`machine.geography.total_companies / total_funding / funded_companies`	string	Totals as shown, e.g. 795K and $680B.
`machine.geography.series_a_plus_companies / unicorns / ipos / acquisitions`	string	Further totals as shown.
`machine.geography.also_known_as`	null	Empty for this country.
`machine.geography.top_companies[]`	array	Top companies: name, link, description, location, founded_year, stage, total_funding.
`machine.geography.top_investors[]`	array	Top investors with location and their top portfolio companies; id and url are null for some.
`machine.geography.recent_funding_rounds[]`	array	Recent rounds: company, round, date and investors.
`machine.geography.recent_acquisitions[]`	array	Recent acquisitions: company, type, date, acquirers.
`machine.geography.recent_ipos[]`	array	Recent IPOs: company, date, exchange.
`machine.geography.news[] / faqs[]`	array	News items and questions with answers.
`machine.geography.unicorns_url`	string	Link to the country's unicorn list.
`machine.geography.updated_at`	string	Date Tracxn last updated the page.

Response

Example response

A real response, as returned.

{
  "session_id": "11111111-1111-1111-1111-111111111111",
  "kind": "tracxn_geographies",
  "geography": "https://tracxn.com/d/geographies/india/__ujYf3QI9FSnpS3x-zJCSwnay2nENQhm1kAN-U8-6Kfg",
  "geography_id": "geographies/india/__ujYf3QI9FSnpS3x-zJCSwnay2nENQhm1kAN-U8-6Kfg",
  "human": "# Tracxn — geography\n\n- **Id:** geographies/india/__ujYf3QI9FSnpS3x-zJCSwnay2nENQhm1kAN-U8-6Kfg\n- **Pages opened:** 1\n- **Proxy traffic:** 389.6 KB\n- **Name:** India\n- **Total companies:** 795K\n- **Funded companies:** 35.5K\n- **Total funding:** $680B\n- **Unicorns:** 131",
  "machine": {
    "geography": {
      "id": "ujYf3QI9FSnpS3x-zJCSwnay2nENQhm1kAN-U8-6Kfg",
      "alias": "india",
      "url": "https://tracxn.com/d/geographies/india/__ujYf3QI9FSnpS3x-zJCSwnay2nENQhm1kAN-U8-6Kfg",
      "name": "India",
      "description": "India has over 795,034 startups, making it the third-largest startup hub globally. Of these, 35.5K are funded companies that have collectively raised $680B in venture capital and private equity. The c",
      "key_metrics": {
        "total_companies": "795K",
        "top_companies": "Flipkart, Swiggy & 3 more",
        "total_funding": "$680B",
        "funded_companies": "35.5K",
        "series_a_companies": "3.17K",
        "series_c_companies": "577",
        "unicorns_created": "131",
        "ipos": "6.51K",
        "acquisitions": "5.34K"
      },
      "total_companies": "795K",
      "total_funding": "$680B",
      "funded_companies": "35.5K",
      "series_a_plus_companies": "3.17K",
      "unicorns": "131",
      "ipos": "6.51K",
      "acquisitions": "5.34K",
      "also_known_as": null,
      "top_companies": [
        {
          "id": "pEY5Ub_-w20aEOIgCL-qCRVeBd8rtHj_vnmmzHQ8a6E",
          "name": "Flipkart",
          "url": "https://tracxn.com/d/companies/flipkart/__pEY5Ub_-w20aEOIgCL-qCRVeBd8rtHj_vnmmzHQ8a6E",
          "alias": "flipkart",
          "description": "Online retailer of various products including electronics, fashion, and groceries",
          "location": "Bengaluru (India)",
          "founded_year": 2007,
          "stage": "Acquired",
          "total_funding": "$12.1B"
        }
      ],
      "top_investors": [
        {
          "id": null,
          "name": "Europa",
          "url": null,
          "location": "Belgium",
          "top_portfolio_companies": [
            {
              "name": "CG Power & Industrial Solutions",
              "url": "https://tracxn.com/d/companies/cg-power-industrial-solutions/__jogVWOKYsBUeA0KEyjtmiBST15rjlJtfNE3SB0DdvVY",
              "id": "jogVWOKYsBUeA0KEyjtmiBST15rjlJtfNE3SB0DdvVY",
              "alias": "cg-power-industrial-solutions"
            }
          ]
        }
      ],
      "recent_funding_rounds": [
        {
          "company": "Gramiyaa",
          "url": "https://tracxn.com/d/companies/gramiyaa/__OyCEjLOIaWyhy3PueZjb-_iAcMKaVCIemBkK3K-6OrY",
          "id": "OyCEjLOIaWyhy3PueZjb-_iAcMKaVCIemBkK3K-6OrY",
          "round": "Series A",
          "date": "2026-10-09",
          "investors": [
            {
              "name": "Optiscape Network Holdings",
              "url": null,
              "id": null,
              "alias": null
            }
          ],
          "investors_text": "Optiscape Network Holdings and 3 more"
        }
      ],
      "recent_acquisitions": [
        {
          "company": "UpTodd",
          "url": "https://tracxn.com/d/companies/uptodd/__LsnWjHYcdBwr1-Eu3NrdK0w3VRL6qyo3fmKR-o1KyNc",
          "id": "LsnWjHYcdBwr1-Eu3NrdK0w3VRL6qyo3fmKR-o1KyNc",
          "type": "Business Acquisition",
          "date": "2026-10-07",
          "acquirers": [
            {
              "name": "Hoola",
              "url": "https://tracxn.com/d/companies/hoola/__XVn5UpWuf20JEKVbo_JZXDZ5GF3MjtwCEPHwomEHq2M",
              "id": "XVn5UpWuf20JEKVbo_JZXDZ5GF3MjtwCEPHwomEHq2M",
              "alias": "hoola"
            }
          ],
          "acquirers_text": "Hoola"
        }
      ],
      "recent_ipos": [
        {
          "company": "Paramount Syntex Pvt. Ltd.",
          "url": null,
          "id": null,
          "date": "2026-10-09",
          "exchange": "Bombay Stock Exchange (BSE)"
        }
      ],
      "news": [
        {
          "title": "Flipkart Eyes ESOP Cash-Out Option Amid Employee Concerns and Senior Departures",
          "url": "https://www.livemint.com/companies/news/flipkart-esop-buyback-amid-ipo-delay-walmart-11790751077575.html",
          "source": "Mint",
          "date": "2026-10-01",
          "entities": [
            {
              "name": "Flipkart",
              "url": "https://tracxn.com/d/companies/flipkart/__pEY5Ub_-w20aEOIgCL-qCRVeBd8rtHj_vnmmzHQ8a6E",
              "id": "pEY5Ub_-w20aEOIgCL-qCRVeBd8rtHj_vnmmzHQ8a6E",
              "alias": "flipkart"
            }
          ]
        }
      ],
      "faqs": [
        {
          "question": "How many companies are there in India?",
          "answer": "As of Oct 2026, there are 795,034 companies in India."
        }
      ],
      "updated_at": "2026-10-09",
      "unicorns_url": "https://tracxn.com/d/unicorns/unicorns-in-india/__ujYf3QI9FSnpS3x-zJCSwnay2nENQhm1kAN-U8-6Kfg"
    },
    "blocked": false,
    "pages_opened": 1,
    "proxy_traffic_bytes": 398997
  },
  "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-tracxn-geographies \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"geography":"https://tracxn.com/d/geographies/india/__ujYf3QI9FSnpS3x-zJCSwnay2nENQhm1kAN-U8-6Kfg"}'

Use cases

What teams use it for

Where this field shows up in an actual workflow.

Market entry research

Read the size and funding of a country's startup scene alongside its top companies and investors.

Deal flow tracking

Watch the latest rounds, acquisitions and IPOs in one country.

Investor targeting

List the country's most active investors with their leading portfolio companies.

Reporting

Pull headline totals for a regional startup report.

Coverage & limits

Coverage, freshness and limits

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

Coverage

Tracxn 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 Tracxn shows publicly. Every response carries the session id you can trace.

What it will not do

—Totals are text with units, such as 795K and $680B, not exact numbers.
—Lists such as recent rounds and top investors are the short lists Tracxn shows on the page.
—Some investors and companies have no Tracxn page, so their id and url are null.

FAQ

Questions, answered

The Tracxn geography link, such as the India page, or the id token at the end of it.

Related sources

Tracxn sector

Sector overview: company, funding, unicorn and IPO totals, top companies and investors, trends and recent rounds.

Tracxn unicorn search

Unicorn startups of a country, newest first, with stage, sectors, funding, time to unicorn and top investors.

Tracxn investor

Profile of one investor: type, portfolio counts, top and recent investments, breakdowns, team and co-investors.

All startup & funding data

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

Try tracxn geography on your own data

One request format across every source in the catalog.

Get started