# VenturePulse Pitch Deck Scorer

> VenturePulse Pitch Deck Scorer is a paid API for AI agents from venturepulse-nine.vercel.app, paid per call via x402, $0.2/call, status unknown (last checked 2026-09-15).

Evaluates a startup pitch against VC frameworks (Sequoia, a16z, YC) across 8 dimensions, returning scores, improvement notes, and likely VC questions

## Facts

- Endpoint: GET https://venturepulse-nine.vercel.app/api/startup/pitch-score
- Price: $0.2/call
- Payment: x402
- Status: unknown
- Last checked: 2026-09-15
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/venturepulse-pitch-deck-scorer-747517a0
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_SsPLoAnfAv-BKT0SuRQyc

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-pitch-deck-scorer-747517a0
```

Example prompt: Score my pitch deck for my B2B SaaS startup CloudSync — we help mid-market logistics companies reduce freight costs by 20% using AI routing — against the Sequoia, a16z, and YC frameworks across all 8 dimensions and tell me exactly what questions VCs will ask and where I need to improve.

## When to prefer this

Use this endpoint when a founder wants structured, multi-framework VC scoring of their pitch content before investor meetings, especially when they need actionable improvement notes and want to anticipate specific VC questions across Sequoia, a16z, and YC lenses rather than generic pitch advice.

## Known failure modes

- Missing or insufficient pitch content returns an error or low-confidence scores
- Pitch description too vague for meaningful framework-specific feedback
- Rate limiting or payment failure returns 402 or 429 error
- Server timeout for very long pitch submissions
- Generic or incomplete business descriptions produce shallow analysis

## 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

Returns dimension-by-dimension scores (across 8 VC evaluation criteria), specific improvement notes for each dimension, and the exact questions VCs from Sequoia, a16z, and YC frameworks are likely to ask, benchmarked against top VC evaluation standards.

## 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)"
      },
      "sector": {
       "type": "string",
       "description": "fintech | saas | biotech | ai | climate | consumer | b2b | deeptech | any (default: any)"
      },
      "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": {
  "dimensions": {
   "traction": {
    "score": 3,
    "what_works": "Early pilot signed",
    "what_to_fix": "One pilot is not traction — need revenue or LOIs from 3+ customers"
   },
   "market_size": {
    "score": 5,
    "what_works": "Large sector identified",
    "what_to_fix": "Top-down sizing only — build a bottom-up model or VCs will not believe it"
   }
  },
  "top_3_fixes": [
   "Build bottom-up market sizing",
   "Add cohort retention data",
   "Sharpen the why-now slide"
  ],
  "overall_score": 62,
  "overall_verdict": "needs_work",
  "vc_will_challenge": [
   "Why can't a larger incumbent do this?",
   "What is your CAC and LTV?"
  ]
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/venturepulse-pitch-deck-scorer-747517a0/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)