# Analyze a pitch deck with AI

**Use case:** 

Paste a deck and get a credibility read: which claims hold, which are unverifiable, and what an investor will challenge first. By MrBridge (mr-bridge.com)

## Input

```json
{
  "deckText": "Slide 1 Nimbus Analytics, anomaly detection for logistics. Slide 2 problem, operators lose 4 percent of revenue to undetected exceptions. Slide 3 solution, real time anomaly scoring on shipment data. Slide 4 traction, EUR 640k ARR, 34 accounts, 11 percent month on month. Slide 5 market, EUR 12B TAM. Slide 6 team, two founders ex-Amazon. Slide 7 competition, three incumbents named. Slide 8 ask, EUR 4M at EUR 20M pre-money.",
  "investorStage": "seed",
  "industry": "saas",
  "language": "en",
  "enableInvestigator": true,
  "includeQA": true,
  "enableCoach": true,
  "maxCoachQueries": 3
}
```

## Output

```json
{
  "analysisId": {
    "label": "Analysis ID",
    "format": "string"
  },
  "overallScore": {
    "label": "Overall Score",
    "format": "integer"
  },
  "verdict": {
    "label": "Verdict",
    "format": "string"
  },
  "reportHtmlUrl": {
    "label": "HTML Report",
    "format": "string"
  },
  "reportMdUrl": {
    "label": "Markdown Report",
    "format": "string"
  },
  "reportDocxUrl": {
    "label": "DOCX Report",
    "format": "string"
  },
  "dimensionScores": {
    "label": "Dimension Scores",
    "format": "object"
  },
  "redFlags": {
    "label": "Red Flags",
    "format": "array"
  },
  "orangeFlags": {
    "label": "Orange Flags",
    "format": "array"
  },
  "strengths": {
    "label": "Strengths",
    "format": "array"
  },
  "premortem": {
    "label": "Pre-Mortem",
    "format": "string"
  },
  "leapsOfFaith": {
    "label": "Leaps of Faith",
    "format": "array"
  }
}
```

## About this Actor

This example demonstrates how to use [Pitch Deck Credibility Analyzer for founders](https://apify.com/mrbridge/pitch-deck-credibility-analyzer) with a specific input configuration. Visit the [Actor detail page](https://apify.com/mrbridge/pitch-deck-credibility-analyzer) to learn more, explore other use cases, and run it yourself.


## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.
This Task's input is already configured above — use it as-is rather than inventing a new one.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — the [REST API](https://docs.apify.com/api/v2.md).

For full API examples (JavaScript, Python, CLI, MCP, OpenAPI), see this Task's Actor page: https://apify.com/mrbridge/pitch-deck-credibility-analyzer.md

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).
