# VenturePulse Investor Matching Engine

> 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

## Facts

- Endpoint: GET https://venturepulse-nine.vercel.app/api/startup/investor-match
- Price: $0.15/call
- Payment: x402
- Status: unknown
- Last checked: 2026-09-15
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/venturepulse-investor-matching-engine-e0525453
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_q0gVYdKBs0ShdYien98uU

Status and success rate cover calls made through Zero and Zero's own probes. Third-party monitors may report differently.

## How to call it through Zero

Zero handles the 402 payment challenge and records the run. With the Zero CLI installed (`npm i -g @zeroxyz/cli`):

```sh
zero fetch --capability venturepulse-investor-matching-engine-e0525453
```

Example prompt: I'm raising a $2M seed round for my B2B SaaS startup that uses AI to automate compliance workflows for mid-market financial services companies — can you find VCs, angels, and CVCs whose thesis aligns with us and tell me what check sizes to expect and how to approach them?

## When to prefer this

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.

## Known failure modes

- 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

## 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.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "$schema": "https://json-schema.org/draft/2020-12/schema",
 "required": [
  "input"
 ],
 "properties": {
  "input": {
   "type": "object",
   "required": [
    "type",
    "method"
   ],
   "properties": {
    "type": {
     "type": "string",
     "const": "http"
    },
    "method": {
     "enum": [
      "GET",
      "HEAD",
      "DELETE"
     ],
     "type": "string"
    },
    "queryParams": {
     "type": "object",
     "properties": {
      "lang": {
       "type": "string",
       "description": "en | es | fr | de | ja | pt | it | nl | ko | zh | ar (default: en)"
      },
      "stage": {
       "type": "string",
       "description": "pre-seed | seed | series-a | series-b (default: seed)"
      },
      "region": {
       "type": "string",
       "description": "us | eu | uk | apac | latam | mena | africa | global (default: global)"
      },
      "sector": {
       "type": "string",
       "description": "fintech | saas | biotech | ai | climate | consumer | b2b | deeptech | any (default: any)"
      },
      "check_size": {
       "type": "string",
       "description": "optional — target check size in USD e.g. 500000"
      },
      "description": {
       "type": "string"
      }
     }
    }
   },
   "additionalProperties": false
  },
  "output": {
   "type": "object",
   "required": [
    "type"
   ],
   "properties": {
    "type": {
     "type": "string"
    },
    "errors": {
     "type": "object",
     "description": "Documented error responses, keyed by HTTP status code",
     "additionalProperties": {
      "type": "object",
      "required": [
       "description"
      ],
      "properties": {
       "example": {
        "type": "object"
       },
       "description": {
        "type": "string"
       }
      }
     }
    },
    "example": {
     "type": "object"
    }
   }
  }
 }
}
```

## Response schema (JSON Schema)

```json
{
 "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."
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/venturepulse-investor-matching-engine-e0525453/health.json
- [Zero catalog index](https://www.zero.xyz/llms.txt)
- [Other services from venturepulse-nine.vercel.app](https://www.zero.xyz/host/venturepulse-nine.vercel.app/llms.txt)