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Startup Ecosystem Intelligence

@apifyforge

About Startup Ecosystem Intelligence

Startup ecosystem intelligence for VC deal sourcing gives your AI assistant instant access to 8 public data sources — patents, GitHub activity, job postings, ArXiv research, tech stacks, corporate registries, and SaaS competitive data — all fused into a single structured deal mem

Basic information

Category

Data & Analytics

License

MIT

Publisher

apifyforge

Config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "startup-ecosystem-intelligence-mcp": {
      "url": "https://ryanclinton--startup-ecosystem-intelligence-mcp.apify.actor/mcp"
    }
  }
}

Tools

No tools detected

We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

What is Startup Ecosystem Intelligence?

Startup Ecosystem Intelligence is an MCP server that gives AI assistants instant access to 8 public data sources — patents, GitHub activity, job postings, ArXiv research, tech stacks, corporate registries, and SaaS competitive data — fused into a single structured deal memo. It is built for venture capitalists, corporate development teams, and accelerator managers who need quantified, behavior-based signals rather than self-reported pitch deck data.

How to use Startup Ecosystem Intelligence?

Add the MCP endpoint https://startup-ecosystem-intelligence-mcp.apify.actor/mcp to your MCP client (Claude Desktop, Cursor, Windsurf, or Cline) with your Apify API token as the Bearer token. Then ask your AI assistant to run a deal memo (e.g., "Generate a deal memo for Cohere") or a targeted analysis. The server queries up to 8 data sources in parallel and returns structured JSON with scores, signals, and red flags in 60‑90 seconds.

Key features of Startup Ecosystem Intelligence

  • Eight specialized MCP tools for targeted or full‑memo analysis
  • Parallel data collection using Promise.allSettled() — no single source blocks results
  • Innovation Velocity Score (0–100) with five velocity levels
  • Hiring Signal Decoder infers strategic direction from job postings
  • Competitive Moat Analyzer scores tech stack, patents, and market density
  • Corporate Health Check scores entity status, jurisdiction, and complexity
  • Composite deal rating engine (PASS / WATCH / DILIGENCE / STRONG_BUY)
  • Automatic red flag detection and investment thesis generation

Use cases of Startup Ecosystem Intelligence

  • VC deal sourcing: triage 40–80 inbound decks per week with a 90‑second automated screen
  • Corporate development: map IP landscapes and acquisition targets weekly
  • Accelerator portfolio benchmarking: compare portfolio companies against cohort signals
  • Technology trend scouting: quantify momentum in a technology area for thesis building
  • Pre‑investment due diligence: verify corporate structure across 140+ registries before legal review

FAQ from Startup Ecosystem Intelligence

What data sources does it use?

It uses 8 public data sources: OpenCorporates (140+ jurisdictions), USPTO and EPO patent searches, GitHub repo search, Website Tech Stack Detector, Job Market Intelligence, ArXiv preprint search, and SaaS Competitive Intelligence.

How long does a full deal memo take?

A full deal memo takes about 60–90 seconds because up to 8 Apify actors fire in parallel; a single failing data source does not block the entire analysis.

What scoring models are applied?

Four scoring algorithms are applied: Innovation Velocity Score (0–100), Hiring Signal Decoder, Competitive Moat Analyzer, and Corporate Health Check, which are combined into a composite deal rating.

Does it require a Crunchbase subscription?

No. It uses only public data sources and Apify actors — no Crunchbase subscription or self‑reported founder data is needed.

How do I connect it to my MCP client?

Add the endpoint URL and your Apify API token as a Bearer header to your MCP client configuration. Examples for Claude Desktop, Cursor, Windsurf, and direct HTTP calls are provided in the README.

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