New Startups API
A continuously refreshed feed of newly discovered AI startups, found across the entire public web by predictive AI and verified before they go live. Sort, filter, paginate. Built for sales teams, investors, and agents that need the freshest data.
curl -G https://www.startuphub.ai/api/v1/startups \ -H "Authorization: Bearer sk_live_..." \ --data-urlencode "sort=created_at.desc" \ --data-urlencode "sector=AI Agents" \ --data-urlencode "country=US" \ --data-urlencode "founded_after=2024-01-01" \ --data-urlencode "limit=100"
How it works
Three calls. JSON in, JSON out. No SDK to install.
Pull the freshest first
GET /api/v1/startups?sort=created_at.desc&limit=100 with your Bearer key. Returns the 100 most recently added startups, JSON in, JSON out.
Filter for your ICP
Layer in §or=AI Agents, &country=US, &employees_min=2&employees_max=50, &founded_after=2024-01-01. Combine any of them. Stealth-mode rows hidden on free / Pro Lite.
Poll daily, or page through history
Cursor with &offset= for backfills. For ongoing freshness, store the highest created_at from the last call and use it as your watermark — only paginate when new rows appear above it.
Drop into any stack
Plain HTTPS + JSON. No SDK required.
const params = new URLSearchParams({
sort: 'created_at.desc',
sector: 'AI Agents',
country: 'US',
founded_after: '2024-01-01',
limit: '100',
});
const r = await fetch(`https://www.startuphub.ai/api/v1/startups?${params}`, {
headers: { Authorization: 'Bearer sk_live_...' },
});
const { data, pagination } = await r.json();
// data is an array of startup rows, freshest first.import requests
r = requests.get(
'https://www.startuphub.ai/api/v1/startups',
headers={'Authorization': 'Bearer sk_live_...'},
params={
'sort': 'created_at.desc',
'sector': 'AI Agents',
'country': 'US',
'founded_after': '2024-01-01',
'limit': 100,
},
)
data = r.json()
for s in data['data']:
print(s['name'], '—', s['one_liner']){
"data": [
{
"id": "uuid",
"name": "Acme AI",
"slug": "acme-ai",
"one_liner": "Voice agents that close on the first call.",
"website": "https://acme.ai",
"sectors": ["AI Agents", "Voice AI"],
"hq_country": "US",
"hq_city": "San Francisco",
"employee_count": 12,
"total_funding": 3500000,
"founded_date": "2025-08-14",
"created_at": "2026-05-12T09:32:11.142Z",
"total_score": 67
}
],
"pagination": { "total": 13427, "limit": 100, "offset": 0 },
"credits": { "used": 1, "limit": 100, "remaining": 99 }
}What’s in the box
Every column, every filter, every channel.
Proactive discovery (not news search)
We ingest from new domain registrations, government registries (Israel, Canada, UK, SEC Form D, …), and GitHub orgs — then verify each site and fingerprint its stack. No press article required. That is why we can answer "new cybersecurity startups in Israel this month" as structured rows.
Sort + filter at the column level
sort by created_at, founded_date, total_funding, employee_count, employee_growth_quarterly_cagr, latest_funding_date, or total_score. Filter on sector (jsonb match), hq_country, operating_status, employees range, founded date range.
Stealth-mode visibility
Pro and above unlock startups marked stealth — companies our predictive AI surfaces before they have a public website. The richest source of pre-revenue deal flow you can get programmatically.
Full row, every column
Each row returns: name, slug, website, description, sectors, hq_country, hq_city, employee_count + growth, total_funding, latest_funding_date, founder_uuids, total_score, and the enrichment metadata. Drop straight into your CRM, BI tool, or scoring pipeline.
MCP server for Claude / Cursor
Same endpoint exposed as the search_startups MCP tool. "Show me AI agent startups in the US founded after 2024 with under 20 employees" — one natural-language query, structured rows back.
Cache-friendly + paginated
Stable cursors on (created_at, id), HTTP cache headers honour Cache-Control, rate-limit headers expose how many credits remain in this window. Drop-in for any sync pipeline.
Built for these workflows
Real production patterns from teams using the API today.
Sales prospecting
Run a daily cron against the API for your ICP filter. Push net-new rows into your CRM with a "fresh — never contacted" tag. Outbound to companies before competitors find them.
Investor deal flow
Configure your screening criteria once. Get every newly discovered match in your sector + geography the day it lands. The earliest signal anywhere outside a private network.
Competitive intel
Watch your sector for new entrants. Get an alert the moment a new company appears with overlapping keywords. Stay ahead of the press cycle.
AI agent workflows
Connect via MCP to Claude / Cursor / Windsurf. "Find AI agent startups founded in the last 90 days with 5-25 employees in Europe." One query, ranked rows back, ready to score or contact.
Where the rows come from
Not scraped from Crunchbase. Not a live Google search. Continuous ingestion from primary signals, then enrichment.
New domain registrations
.ai, .io, and related TLDs from daily NRD feeds. Catches stealth and coming-soon sites before any press.
Government registries
Israel, Canada (OrgBook BC), UK Companies House, US SEC Form D, France SIRENE, Florida Sunbiz, California, New York, and more.
GitHub new orgs
Dev-tool startups often appear here days before a marketing site or funding announcement.
Live website verification
Every candidate is HTTP-probed, stack-fingerprinted, and promoted only when the site is real (not parked).
| Provider | Web search / RAG | StartupHub directory |
|---|---|---|
| Tavily / Linkup / Parallel | Live web search per query. Great for "who got mentioned in news today". Cannot list stealth .ai domains or registry filings as structured rows. | Pre-ingested directory from domains + registries. Filter Israel, Canada, cybersecurity, by week or month — one GET call. |
| Generic RAG enrichment APIs | Enrich a name you already have; rarely discover net-new companies proactively. | Discovery pipelines run 24/7. GET /startups returns rows we found without a news article. |
Full technical guide: Discovery vs enrichment
vs. the incumbents
Fresher data. Lower cost. Agent-ready out of the box.
| Provider | Their offering | StartupHub.ai New Startups API |
|---|---|---|
| Crunchbase API | Enterprise sales cycle. $$$ contract. Refreshed weekly. | Self-serve key in 30 seconds. Daily refresh. Stealth-mode rows incumbents don't have. |
| PitchBook / CB Insights | Five-figure annual contracts. No agent / MCP integration. | API-first. MCP-native. Pay for what you query, not a seat license. |
| LinkedIn Sales Nav | No API. Manual search only. Saved-search emails delayed. | Real API. Daily-fresh rows. Programmable filters. |
| Apollo / ZoomInfo | Strong on established companies, weak on net-new and pre-launch. | Built specifically for fresh-discovery use cases. Stealth + early-stage coverage. |
| Y Combinator company list | YC-only. Public list. Two batches a year. | Every batch. Every accelerator. Plus non-accelerator companies. 24h cadence. |
Search the registry from inside Claude.
The same New Startups API ships as a Model Context Protocol server. One URL into your AI client and your assistant gains the search_startups tool — natural-language sourcing without leaving the chat. “Find AI agent startups in Europe founded in the last 6 months with under 25 employees.”
{
"mcpServers": {
"startuphub": {
"url": "https://www.startuphub.ai/api/v1/mcp",
"headers": {
"Authorization": "Bearer sk_live_..."
}
}
}
}Frequently asked questions
Start sourcing fresh AI startups today
Free tier, no credit card. 30 seconds to your first API call.
Get Free API Key