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VenturePulse Investor Matching Engine
x402
VenturePulse Investor Matching Engine is a paid API for AI agents from venturepulse-nine.vercel.app, paid per call via x402, $0.15/call, status unknown (last checked 2026-09-15).
Given a startup description, funding stage, and sector, returns aligned VCs, angels, and CVCs with thesis match analysis, check sizes, and outreach tips
Price / call$0.15
Success—
StatusUnknown
How this service works
Startup funding intelligence API. VC round data, investor matching, pitch deck scoring, term sheet decoding, cap table modeling, global accelerator directory, market sizing, legal formation, comparable deals, and due diligence prep. All endpoints require x402 payment (USDC on Base mainnet) via the PAYMENT-SIGNATURE header.
Output
A ranked list of venture capitalists, angel investors, and corporate venture arms whose investment thesis aligns with the submitted startup, including thesis match rationale for each investor, typical check sizes, and specific tips for approaching and pitching each investor effectively.
Example use cases
Find pre-seed investors for climate tech
“We're building hardware that helps small farms reduce water waste through AI-powered irrigation. We're looking for pre-seed and seed stage investors who focus on climate tech and agtech — can you match us with VCs and angels who'd be interested and tell us their typical check sizes and how we should pitch them?”
Match Series A fintech startup to investors
“Our startup provides embedded lending APIs for SMBs in emerging markets. We're closing a Series A and need to identify venture capitalists and corporate venture arms in fintech that match our stage and international expansion focus — what investors should we be talking to and what's their usual check size?”
Identify healthtech CVCs for funding
“We've built a patient engagement platform for hospital systems using telemedicine. Help me find strategic corporate venture arms from health insurance companies and hospital networks who'd invest in our Series B, plus any growth-stage VCs focused on healthtech — what's their investment thesis and how should I approach them?”
Technical details
Endpoint
GEThttps://venturepulse-nine.vercel.app/api/startup/investor-matchWhen to prefer
Use this endpoint when a founder needs a targeted, thesis-aligned investor shortlist based on their specific startup profile rather than a generic VC database search. Ideal when the user has a defined sector, stage, and startup description and wants actionable match analysis with check size expectations and outreach strategy — not just a raw list of investors.
Side effects
- Startup description too vague to produce meaningful matches — returns generic or low-confidence investor list
- Niche sector or very early pre-idea stage with limited investor coverage — sparse results
- Payment of 0.15 USDC not processed — returns 402 Payment Required
- Malformed or missing stage/sector parameters — returns 400 Bad Request
- No investors found matching the combination of stage and sector — empty result set
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
Output
Schema · Response
{
"type": "json",
"example": {
"startup_summary": "B2B SaaS for construction project management, targeting SME contractors in Southeast Asia",
"matched_investors": [
{
"firm": "Monk's Hill Ventures",
"name": "Peng T. Ong",
"type": "vc",
"approach_tip": "Warm intro via Singapore startup community or via YC alumni network",
"thesis_match": "SEA-focused B2B SaaS, multiple construction/proptech portfolio companies",
"check_size_usd": "$500K-$2M seed"
}
],
"fundraising_strategy": "Target SEA-focused VCs first for lead, then bring in US/EU strategics for follow-on."
}
}Tags
x402
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