nvNeuralVerge
Startup & Funding Data

Tracxn Unicorn Search API and MCP — Unicorn Startups by Country with Funding and Investors

Send a country name such as India and get its unicorn startups as a list, newest first: rank, name, description, founded year, city and country, stage, sectors, time to unicorn, top investors, employee count, total funding and the date the company joined the club. Set max_items to cap how many come back and start_page to continue from a later page.

You send
a country name such as India, plus an optional max_items and start_page
You get back
the country's unicorn startups, newest first: rank, name, description, founded year, location, stage, sectors, time to unicorn, top investors, employees, total funding and join date
Coverage
Tracxn 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.

ApproachWhat it takesCostTrade-off
Tracxn directlyType the query into Tracxn and read the resultsFree, 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 Tracxn 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$1 per 1,000, misses not billedReturns 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.

FieldTypeDescription
session_idstringId of this run, for tracing.
kindstringSource type of the response.
countrystringThe country you sent.
max_itemsnumberMaximum records requested.
start_pagenumberPage the run started from.
partialbooleanTrue when the run stopped before reading every page it was asked for.
humanstringReadable summary of the run.
total_pointsnumberPoints charged for the run.
machine.total_itemsnumberNumber of records returned in items.
machine.first_itemobjectCopy of the first entry of items, for quick access.
machine.items[]arrayThe returned records; the keys of each one are listed below.
machine.total_foundnumber|nullTotal matches the platform reports when it reports one; null otherwise.
machine.page_countnumberPlatform pages read for the run.
machine.blockedbooleanWhether the platform refused the request.
machine.proxy_traffic_bytesnumberSize of the data transferred for the run, in bytes.
machine.items[].idstringTracxn id token of the company.
machine.items[].namestringCompany name.
machine.items[].urlstringLink to the company page.
machine.items[].aliasstringSlug.
machine.items[].ranknumberPosition in the country's list; the newest unicorn has the highest number.
machine.items[].descriptionstringWhat the company does, cut short in the sample.
machine.items[].founded_yearnumberYear founded.
machine.items[].city / countrystringLocation.
machine.items[].stagestringStage, e.g. Series C.
machine.items[].annual_revenue / annual_revenue_as_ofnullEmpty in the sample.
machine.items[].employee_count / employee_count_as_ofnumber|stringEmployees and the date.
machine.items[].total_funding / total_funding_usdstring|numberTotal funding as shown and in US dollars.
machine.items[].investors[] / investor_countarray|nullEmpty here; top_investors holds the investors for this list.
machine.items[].latest_roundstringLatest round and date as one line.
machine.items[].valuationnullEmpty in the sample.
machine.items[].tracxn_score / competitor_ranknullEmpty in the sample for this company.
machine.items[].primary_sectors[]arraySectors with name, url, id and alias.
machine.items[].time_to_unicornstringTime from founding to unicorn status.
machine.items[].top_investors[]arrayTop investors with name, url, id and alias.
machine.items[].joined_unicorn_clubstringDate the company joined (YYYY-MM-DD).
machine.items[].highlightnullEmpty in the sample.
Response

Example response

A real response, as returned.

{
  "session_id": "11111111-1111-1111-1111-111111111111",
  "kind": "tracxn_unicorns_search",
  "country": "India",
  "max_items": 2,
  "start_page": 1,
  "partial": false,
  "human": "# Tracxn — unicorns\n\n- **Query:** country=India\n- **Results:** 2 of 131 found\n- **Proxy traffic:** 813.3 KB",
  "machine": {
    "total_items": 2,
    "first_item": {
      "id": "wTZVd1p589LO2UHDA6lL6_yov1EDtgg9co49jfWkQYk",
      "name": "Emergent",
      "url": "https://tracxn.com/d/companies/emergent/__wTZVd1p589LO2UHDA6lL6_yov1EDtgg9co49jfWkQYk",
      "alias": "emergent",
      "rank": 131,
      "description": "Developer of platforms that build full-stack applications using AI. The system transforms natural language prompts into production-ready software through a coordinated team of specialized agents. Thes",
      "founded_year": 2024,
      "city": "San Francisco",
      "country": "United States",
      "stage": "Series C",
      "annual_revenue": null,
      "employee_count": 402,
      "employee_count_as_of": "2026-08-31",
      "annual_revenue_as_of": null,
      "total_funding": "$230M",
      "total_funding_usd": 230000000,
      "investors": [],
      "investor_count": null,
      "latest_round": "Series C, Jul 15, 2026",
      "valuation": null,
      "tracxn_score": null,
      "competitor_rank": null,
      "primary_sectors": [
        {
          "name": "Application Development Tools",
          "url": "https://tracxn.com/d/sectors/application-development-tools/__0j8EG6ZddYkRRJDxZZ5yzxHTQxEHp0YtbdAs2LId6Ko",
          "id": "0j8EG6ZddYkRRJDxZZ5yzxHTQxEHp0YtbdAs2LId6Ko",
          "alias": "application-development-tools"
        },
        {
          "name": "Generative AI",
          "url": "https://tracxn.com/d/sectors/generative-ai/__I87B_uwMGE_ht613NlRy5g7JqA0jjwL014dnkwKpGc8",
          "id": "I87B_uwMGE_ht613NlRy5g7JqA0jjwL014dnkwKpGc8",
          "alias": "generative-ai"
        }
      ],
      "time_to_unicorn": "2 years 6 months",
      "top_investors": [
        {
          "name": "SoftBank Vision Fund",
          "url": "https://tracxn.com/d/venture-capital/softbank-vision-fund/__iBoxR9kOl7lv87Qodi9FvPadNCcZMQdUQzjUzbvLg7M",
          "id": "iBoxR9kOl7lv87Qodi9FvPadNCcZMQdUQzjUzbvLg7M",
          "alias": "softbank-vision-fund"
        },
        {
          "name": "Prosus",
          "url": "https://tracxn.com/d/venture-capital/prosus/__IK5cI8VFxw-gWw-XBkvkRE1-EjV3-XOBlI2WSrauk-k",
          "id": "IK5cI8VFxw-gWw-XBkvkRE1-EjV3-XOBlI2WSrauk-k",
          "alias": "prosus"
        }
      ],
      "joined_unicorn_club": "2026-07-15",
      "highlight": null
    },
    "items": [
      {
        "id": "wTZVd1p589LO2UHDA6lL6_yov1EDtgg9co49jfWkQYk",
        "name": "Emergent",
        "url": "https://tracxn.com/d/companies/emergent/__wTZVd1p589LO2UHDA6lL6_yov1EDtgg9co49jfWkQYk",
        "alias": "emergent",
        "rank": 131,
        "description": "Developer of platforms that build full-stack applications using AI. The system transforms natural language prompts into production-ready software through a coordinated team of specialized agents. Thes",
        "founded_year": 2024,
        "city": "San Francisco",
        "country": "United States",
        "stage": "Series C",
        "annual_revenue": null,
        "employee_count": 402,
        "employee_count_as_of": "2026-08-31",
        "annual_revenue_as_of": null,
        "total_funding": "$230M",
        "total_funding_usd": 230000000,
        "investors": [],
        "investor_count": null,
        "latest_round": "Series C, Jul 15, 2026",
        "valuation": null,
        "tracxn_score": null,
        "competitor_rank": null,
        "primary_sectors": [
          {
            "name": "Application Development Tools",
            "url": "https://tracxn.com/d/sectors/application-development-tools/__0j8EG6ZddYkRRJDxZZ5yzxHTQxEHp0YtbdAs2LId6Ko",
            "id": "0j8EG6ZddYkRRJDxZZ5yzxHTQxEHp0YtbdAs2LId6Ko",
            "alias": "application-development-tools"
          },
          {
            "name": "Generative AI",
            "url": "https://tracxn.com/d/sectors/generative-ai/__I87B_uwMGE_ht613NlRy5g7JqA0jjwL014dnkwKpGc8",
            "id": "I87B_uwMGE_ht613NlRy5g7JqA0jjwL014dnkwKpGc8",
            "alias": "generative-ai"
          }
        ],
        "time_to_unicorn": "2 years 6 months",
        "top_investors": [
          {
            "name": "SoftBank Vision Fund",
            "url": "https://tracxn.com/d/venture-capital/softbank-vision-fund/__iBoxR9kOl7lv87Qodi9FvPadNCcZMQdUQzjUzbvLg7M",
            "id": "iBoxR9kOl7lv87Qodi9FvPadNCcZMQdUQzjUzbvLg7M",
            "alias": "softbank-vision-fund"
          },
          {
            "name": "Prosus",
            "url": "https://tracxn.com/d/venture-capital/prosus/__IK5cI8VFxw-gWw-XBkvkRE1-EjV3-XOBlI2WSrauk-k",
            "id": "IK5cI8VFxw-gWw-XBkvkRE1-EjV3-XOBlI2WSrauk-k",
            "alias": "prosus"
          }
        ],
        "joined_unicorn_club": "2026-07-15",
        "highlight": null
      },
      {
        "id": "8OnVGnLPQWV1bKyBfeDeC2g8OM6rT3L1jACq3M22hnc",
        "name": "Square Yards",
        "url": "https://tracxn.com/d/companies/square-yards/__8OnVGnLPQWV1bKyBfeDeC2g8OM6rT3L1jACq3M22hnc",
        "alias": "square-yards",
        "rank": 130,
        "description": "Provider of integrated technology-driven real estate solutions for buying, selling and renting properties. The company offers a full-stack proptech platform that aggregates real estate and mortgage ma",
        "founded_year": 2014,
        "city": "Gurugram",
        "country": "India",
        "stage": "Series B",
        "annual_revenue": "₹1,000+ Cr",
        "employee_count": 9591,
        "employee_count_as_of": "2026-08-31",
        "annual_revenue_as_of": "2025-03-31",
        "total_funding": "$96.9M",
        "total_funding_usd": 96900000,
        "investors": [],
        "investor_count": null,
        "latest_round": "Series B, Jun 23, 2026",
        "valuation": null,
        "tracxn_score": null,
        "competitor_rank": null,
        "primary_sectors": [
          {
            "name": "Residential Real Estate Tech",
            "url": "https://tracxn.com/d/sectors/residential-real-estate-tech/__Xxhv-hVQtvtRIglFh6Th9PN5XP1LSFVHmuxf2M8QXzw",
            "id": "Xxhv-hVQtvtRIglFh6Th9PN5XP1LSFVHmuxf2M8QXzw",
            "alias": "residential-real-estate-tech"
          },
          {
            "name": "Commercial Real Estate Tech",
            "url": "https://tracxn.com/d/sectors/commercial-real-estate-tech/__A0hscqixw6EgSDe_obq_BSvLBoqYPS5HE9an0ocwdJA",
            "id": "A0hscqixw6EgSDe_obq_BSvLBoqYPS5HE9an0ocwdJA",
            "alias": "commercial-real-estate-tech"
          }
        ],
        "time_to_unicorn": "12 years 5 months",
        "top_investors": [
          {
            "name": "ADM Capital",
            "url": "https://tracxn.com/d/private-debt-fund/adm-capital/__ARmPfDrRpw060NYcs40aCJQ8Ty1MH_yFLmpzMxd9pEE",
            "id": "ARmPfDrRpw060NYcs40aCJQ8Ty1MH_yFLmpzMxd9pEE",
            "alias": "adm-capital"
          },
          {
            "name": "Smilegate",
            "url": "https://tracxn.com/d/companies/smilegate/__T1PWWF7NTVdJOq_fTG7L0QhV1SpGIf-5ZA6FQNu0JNg",
            "id": "T1PWWF7NTVdJOq_fTG7L0QhV1SpGIf-5ZA6FQNu0JNg",
            "alias": "smilegate"
          }
        ],
        "joined_unicorn_club": "2026-06-23",
        "highlight": null
      }
    ],
    "total_found": 131,
    "page_count": 1,
    "blocked": false,
    "proxy_traffic_bytes": 832805
  },
  "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-tracxn-unicorns-search \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"country":"India","max_items":2}'
Use cases

What teams use it for

Where this field shows up in an actual workflow.

Unicorn tracking

List the newest unicorns of a country and the date each one joined.

Investor research

See which investors back a country's unicorns.

Market reports

Count time to unicorn and sectors across a country's list.

Prospect lists

Start from late-stage companies in a country and open each profile.

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
  • —Rank 131 in the sample is the newest unicorn, so the list runs from the highest rank down.
  • —Fields such as valuation, revenue and Tracxn score are null for some companies on this list.
  • —Results are read a page at a time; use start_page to move through a long list.
FAQ

Questions, answered

A country name, such as India. Add max_items to cap the number of records and start_page to begin on a later page.

Related

Related sources

Try tracxn unicorn search on your own data

One request format across every source in the catalog.

Get started