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.
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 | Type the query into Tracxn 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 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 | $1 per 1,000, misses not billed | Returns what Tracxn publishes at request time. Other platforms are separate sources with the same request format |
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. |
country | string | The country you sent. |
max_items | number | Maximum records requested. |
start_page | number | Page the run started from. |
partial | boolean | True when the run stopped before reading every page it was asked for. |
human | string | Readable summary of the run. |
total_points | number | Points charged for the run. |
machine.total_items | number | Number of records returned in items. |
machine.first_item | object | Copy of the first entry of items, for quick access. |
machine.items[] | array | The returned records; the keys of each one are listed below. |
machine.total_found | number|null | Total matches the platform reports when it reports one; null otherwise. |
machine.page_count | number | Platform pages read for the run. |
machine.blocked | boolean | Whether the platform refused the request. |
machine.proxy_traffic_bytes | number | Size of the data transferred for the run, in bytes. |
machine.items[].id | string | Tracxn id token of the company. |
machine.items[].name | string | Company name. |
machine.items[].url | string | Link to the company page. |
machine.items[].alias | string | Slug. |
machine.items[].rank | number | Position in the country's list; the newest unicorn has the highest number. |
machine.items[].description | string | What the company does, cut short in the sample. |
machine.items[].founded_year | number | Year founded. |
machine.items[].city / country | string | Location. |
machine.items[].stage | string | Stage, e.g. Series C. |
machine.items[].annual_revenue / annual_revenue_as_of | null | Empty in the sample. |
machine.items[].employee_count / employee_count_as_of | number|string | Employees and the date. |
machine.items[].total_funding / total_funding_usd | string|number | Total funding as shown and in US dollars. |
machine.items[].investors[] / investor_count | array|null | Empty here; top_investors holds the investors for this list. |
machine.items[].latest_round | string | Latest round and date as one line. |
machine.items[].valuation | null | Empty in the sample. |
machine.items[].tracxn_score / competitor_rank | null | Empty in the sample for this company. |
machine.items[].primary_sectors[] | array | Sectors with name, url, id and alias. |
machine.items[].time_to_unicorn | string | Time from founding to unicorn status. |
machine.items[].top_investors[] | array | Top investors with name, url, id and alias. |
machine.items[].joined_unicorn_club | string | Date the company joined (YYYY-MM-DD). |
machine.items[].highlight | null | Empty in the sample. |
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
}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}'What teams use it for
Where this field shows up in an actual workflow.
List the newest unicorns of a country and the date each one joined.
See which investors back a country's unicorns.
Count time to unicorn and sectors across a country's list.
Start from late-stage companies in a country and open each profile.
Coverage, freshness and limits
What this source covers, how fresh it is, and where it stops.
Tracxn records with a public page.
Read at request time, so the answer reflects the platform as it stands when you ask.
This source returns information Tracxn shows publicly. Every response carries the session id you can trace.
- —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.
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 sources
Profile of one Tracxn company: funding, valuation, investors, revenue band, competitors, legal entities, board and news.
All funding rounds and investors of one Tracxn company with lead investors and first investments.
Country startup landscape: totals, top companies and investors, recent rounds, acquisitions, IPOs and news.
Startup directories, funding databases, launch platforms and investor data.
Try tracxn unicorn search on your own data
One request format across every source in the catalog.