# Pitch Deck Credibility Analyzer (`mrbridge/pitch-deck-credibility-analyzer`) Actor Multi-agent AI analysis of your pitch deck credibility. Simulates an investment committee with 6 specialized AI agents that evaluate financial soundness, commercial viability, team credibility, and presentation quality. Get a detailed report with score, red flags, and actionable feedback in minutes. - **URL**: https://apify.com/mrbridge/pitch-deck-credibility-analyzer.md - **Developed by:** [MrBridge](https://apify.com/mrbridge) (community) - **Categories:** AI, Agents, Automation - **Stats:** 3 total users, 2 monthly users, 83.3% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing $5,000.00 / 1,000 deck analysis completes This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event ## What's an Apify Actor? Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases. In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours, and optionally produces a well-defined JSON output, datasets with results, or files in key-value store. In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server. Actors are written with capital "A". ## 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. The best way to integrate Actors is as follows. In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md): ```bash pip install apify-client ``` In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md): ````bash # MacOS / Linux curl -fsSL https://apify.com/install-cli.sh | bash # Windows irm https://apify.com/install-cli.ps1 | iex ```bash In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md). If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md). For usage examples, see the [API](#api) section below. 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). # README ## Pitch Deck Credibility Analyzer **Multi-agent AI analysis of your pitch deck credibility.** Get an honest assessment from the perspective of an investment committee before you pitch. --- ### What It Does This Actor simulates a **panel of 6 specialized investment experts** reviewing your pitch deck: 1. **Lead Analyst** — Structures your deck and dispatches analysis tasks 2. **CFO** — Evaluates financial credibility (unit economics, TAM, projections, burn rate) 3. **CRO** — Assesses commercial viability (go-to-market, traction, competitive positioning) 4. **Investigator** — Verifies founder claims and team credibility via web research 5. **Senior Director** — Synthesizes findings and classifies red flags vs. orange flags 6. **Writer** — Produces a professional, actionable report **In ~3-5 minutes, you get:** - Overall credibility score (0–100) - Verdict: INVESTOR_READY | PROMISING_WITH_WORK | NEEDS_SIGNIFICANT_REWORK | NOT_READY - RED flags (deal-blockers) and ORANGE flags (improvements needed) - Key strengths to highlight - Likely investor questions - Prioritized action plan Perfect for **founders preparing to pitch**, **accelerators coaching startups**, or **mentors giving honest feedback**. --- ### How It Works #### Input Upload your pitch deck directly: - **PDF** (recommended) - **PowerPoint PPTX** - **Word DOCX** - Optional: Upload an Excel business plan (XLSX) alongside your deck for deeper financial analysis - Optional: Add extra context (investor intro email, meeting notes) in the "Additional Context" field #### Pipeline ```` Your Deck ↓ \[1] Lead Analyst structures & extracts briefings ↓ \[2,3,4] CFO + CRO + Investigator analyze in parallel ↓ \[5] Senior Director synthesizes & classifies flags ↓ \[6] Writer produces final report ↓ Output: JSON dataset + HTML + Markdown reports ```` #### Output Formats **Dataset (JSON)** ```json { "overallScore": 74, "verdict": "PROMISING_WITH_WORK", "redFlags": [...], "orangeFlags": [...], "strengths": [...], "investorQuestions": [...], "actionPlan": [...] } ```` **HTML Report** — Interactive, formatted for printing or email **Markdown Report** — Copy-paste into documents **Key-Value Store** — Full analysis metadata *** ### Evaluation Criteria Scoring breakdown: - **Financial Credibility** (25%) — TAM, projections, unit economics, burn rate, valuation - **Commercial Credibility** (25%) — GTM, traction, pricing, competitive advantage - **Team Credibility** (20%) — Founder backgrounds, track record, advisory board - **Narrative Quality** (15%) — Storytelling, clarity, flow - **Visual Presentation** (15%) — Design, professionalism, slide quality *** ### Verdict Reference | Verdict | Score | Meaning | |---------|-------|---------| | **INVESTOR\_READY** | 85–100 | Strong deck. Ready to pitch. | | **PROMISING\_WITH\_WORK** | 65–84 | Solid fundamentals. Fix red flags before pitching. | | **NEEDS\_SIGNIFICANT\_REWORK** | 45–64 | Major structural issues. Significant revision required. | | **NOT\_READY** | 0–44 | Fundamental gaps. Complete rethink needed. | *** ### Red Flags vs. Orange Flags **RED FLAGS** — Deal-blockers. An investor will not proceed further. - Examples: No traction, unrealistic projections, unverifiable founders, missing key slides **ORANGE FLAGS** — Important improvements. An investor will ask hard questions. - Examples: High CAC, long sales cycle, limited differentiation, weak margins *** ### Pricing **$5 per analysis** (Pay-Per-Event model). The price covers everything: - AI analysis by Claude (6 specialized agent calls) - Apify compute (~2–3 minutes, 4GB memory) - Web search verification (up to 5 queries via Apify SERP proxy) No API key needed. No hidden charges. *** ### Configuration #### Minimal Example Upload your deck PDF via the file upload field, then set: ```json { "investorStage": "seed", "industry": "saas" } ``` #### Full Example Upload your deck + business plan XLSX, then configure: ```json { "investorStage": "series_a", "industry": "fintech", "language": "en", "enableInvestigator": true, "includeQA": true } ``` You can also paste additional context (e.g., the intro email sent to investors) in the "Additional Context" field to enrich the analysis. *** ### Advanced Options | Option | Default | Use Case | |--------|---------|----------| | `enableInvestigator` | `true` | Set `false` to skip web verification (faster, but no team check) | | `language` | English | Switch to French for French-language reports | *** ### Part of MrBridge Fundraising Suite This Actor is part of the **MrBridge suite** for startup fundraising: - **[Pitch Deck Credibility Analyzer](https://apify.com/mrbridge/pitch-deck-credibility-analyzer?fpr=mrbridge)** — *For founders* — Validate and improve your pitch deck before pitching - **[AI Dealflow Analysis](https://apify.com/mrbridge/ai-dealflow-analysis?fpr=mrbridge)** — *For VCs* — Deep due diligence on investment opportunities Use both actors together: founders refine their decks → VCs evaluate the improved deals. *** ### FAQ **Q: How long does an analysis take?** A: 3–5 minutes on average. Slower if you enable deep web verification (10 queries). **Q: Can I analyze decks in other languages?** A: Yes. The Actor accepts decks in any language and can produce reports in English or French. **Q: What if my deck is a Google Slides link?** A: Export it as PDF from Google Slides (File → Download → PDF), then upload the PDF. **Q: Does the Actor store my deck?** A: No. Decks are processed in-memory and deleted after analysis. Only the analysis report is stored. **Q: What if the web verification fails?** A: The analysis continues without the Investigator findings. You'll still get financials, commercials, and narrative feedback. **Q: Can I compare multiple decks?** A: Yes, run the Actor multiple times and compare the JSON scores and verdicts. *** ### Support Issues or feedback? Contact: Follow MrBridge: [Twitter](https://twitter.com/mrbridge) | [Website](https://mrbridge.ai?fpr=mrbridge) *** **Built by MrBridge** — AI-powered intelligence for investors and founders. *Powered by Claude (Anthropic). All analysis is local and private.* # Actor input Schema ## `uploadedFiles` (type: `array`): Upload your pitch deck file. Supported formats: PDF, PPTX, DOCX. Optionally add a business plan spreadsheet (XLSX) for deeper financial analysis. Tip: PDF works best. Maximum recommended total size: 50 MB. ## `deckText` (type: `string`): Optional: paste additional context to enrich the analysis. For example, the intro email sent to investors, meeting notes, or extra details not in the deck. This is a complement to the uploaded file, not a replacement. ## `investorStage` (type: `string`): Target fundraising stage. This calibrates evaluation criteria and benchmarks. A Seed deck is judged differently than Series B. ## `industry` (type: `string`): Startup industry sector. Affects evaluation criteria, benchmarks, and competitive analysis (e.g., TAM expectations differ for SaaS vs. DeepTech). ## `language` (type: `string`): Language for the final analysis report and feedback. ## `enableInvestigator` (type: `boolean`): Verify founder claims, check LinkedIn profiles, validate company history, confirm advisory board members. Disable to skip web searches and run faster (no team credibility check). ## `includeQA` (type: `boolean`): Include a section with 5-7 likely investor questions based on deck gaps and red flags. ## Actor input object example ```json { "investorStage": "seed", "industry": "saas", "language": "en", "enableInvestigator": true, "includeQA": true } ``` # Actor output Schema ## `report` (type: `string`): Score, verdict, and quick links to download the full report in HTML, DOCX or Markdown. ## `dealScreening` (type: `string`): Structured dataset: scores, red/orange flags, strengths, action plan — sortable and filterable in table view. # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = {}; // Run the Actor and wait for it to finish const run = await client.actor("mrbridge/pitch-deck-credibility-analyzer").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`); const { items } = await client.dataset(run.defaultDatasetId).listItems(); items.forEach((item) => { console.dir(item); }); // 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs ``` ## Python example ```python from apify_client import ApifyClient # Initialize the ApifyClient with your Apify API token # Replace '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = {} # Run the Actor and wait for it to finish run = client.actor("mrbridge/pitch-deck-credibility-analyzer").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{}' | apify call mrbridge/pitch-deck-credibility-analyzer --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=mrbridge/pitch-deck-credibility-analyzer", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Pitch Deck Credibility Analyzer", "description": "Multi-agent AI analysis of your pitch deck credibility. Simulates an investment committee with 6 specialized AI agents that evaluate financial soundness, commercial viability, team credibility, and presentation quality. Get a detailed report with score, red flags, and actionable feedback in minutes.", "version": "0.1", "x-build-id": "qqMnvpYIgpX88ZKfy" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/mrbridge~pitch-deck-credibility-analyzer/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-mrbridge-pitch-deck-credibility-analyzer", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/mrbridge~pitch-deck-credibility-analyzer/runs": { "post": { "operationId": "runs-sync-mrbridge-pitch-deck-credibility-analyzer", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/mrbridge~pitch-deck-credibility-analyzer/run-sync": { "post": { "operationId": "run-sync-mrbridge-pitch-deck-credibility-analyzer", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } } }, "components": { "schemas": { "inputSchema": { "type": "object", "properties": { "uploadedFiles": { "title": "Upload your pitch deck", "type": "array", "description": "Upload your pitch deck file. Supported formats: PDF, PPTX, DOCX.\n\nOptionally add a business plan spreadsheet (XLSX) for deeper financial analysis.\n\nTip: PDF works best. Maximum recommended total size: 50 MB.", "items": { "type": "string" } }, "deckText": { "title": "Additional Context", "type": "string", "description": "Optional: paste additional context to enrich the analysis. For example, the intro email sent to investors, meeting notes, or extra details not in the deck.\n\nThis is a complement to the uploaded file, not a replacement." }, "investorStage": { "title": "Investment Stage", "enum": [ "pre-seed", "seed", "series_a", "series_b" ], "type": "string", "description": "Target fundraising stage. This calibrates evaluation criteria and benchmarks. A Seed deck is judged differently than Series B.", "default": "seed" }, "industry": { "title": "Industry", "enum": [ "saas", "fintech", "healthtech", "edtech", "adtech", "marketplace", "ecommerce", "deeptech", "climatetech", "proptech", "other" ], "type": "string", "description": "Startup industry sector. Affects evaluation criteria, benchmarks, and competitive analysis (e.g., TAM expectations differ for SaaS vs. DeepTech).", "default": "saas" }, "language": { "title": "Report Language", "enum": [ "en", "fr" ], "type": "string", "description": "Language for the final analysis report and feedback.", "default": "en" }, "enableInvestigator": { "title": "Enable Web Verification", "type": "boolean", "description": "Verify founder claims, check LinkedIn profiles, validate company history, confirm advisory board members. Disable to skip web searches and run faster (no team credibility check).", "default": true }, "includeQA": { "title": "Include Investor Questions", "type": "boolean", "description": "Include a section with 5-7 likely investor questions based on deck gaps and red flags.", "default": true } } }, "runsResponseSchema": { "type": "object", "properties": { "data": { "type": "object", "properties": { "id": { "type": "string" }, "actId": { "type": "string" }, "userId": { "type": "string" }, "startedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "finishedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "status": { "type": "string", "example": "READY" }, "meta": { "type": "object", "properties": { "origin": { "type": "string", "example": "API" }, "userAgent": { "type": "string" } } }, "stats": { "type": "object", "properties": { "inputBodyLen": { "type": "integer", "example": 2000 }, "rebootCount": { "type": "integer", "example": 0 }, "restartCount": { "type": "integer", "example": 0 }, "resurrectCount": { "type": "integer", "example": 0 }, "computeUnits": { "type": "integer", "example": 0 } } }, "options": { "type": "object", "properties": { "build": { "type": "string", "example": "latest" }, "timeoutSecs": { "type": "integer", "example": 300 }, "memoryMbytes": { "type": "integer", "example": 1024 }, "diskMbytes": { "type": "integer", "example": 2048 } } }, "buildId": { "type": "string" }, "defaultKeyValueStoreId": { "type": "string" }, "defaultDatasetId": { "type": "string" }, "defaultRequestQueueId": { "type": "string" }, "buildNumber": { "type": "string", "example": "1.0.0" }, "containerUrl": { "type": "string" }, "usage": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "integer", "example": 1 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } }, "usageTotalUsd": { "type": "number", "example": 0.00005 }, "usageUsd": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "number", "example": 0.00005 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } } } } } } } } } ```