Startup Ecosystem Intelligence
@apifyforge
Startup Ecosystem Intelligence について
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
基本情報
設定
以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。
{
"mcpServers": {
"startup-ecosystem-intelligence-mcp": {
"url": "https://ryanclinton--startup-ecosystem-intelligence-mcp.apify.actor/mcp"
}
}
}ツール
ツールは検出されませんでした
ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。
概要
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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