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Corporate Deep Research

@apifyforge

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About Corporate Deep Research

**Corporate deep research for AI agents** — this MCP server gives Claude, GPT-4, and any MCP-compatible AI client instant access to 7 live corporate intelligence sources: SEC filings, stock market data, legal entity identifiers, customer reviews, consumer complaints, web research

Basic information

Category

Data & Analytics

License

MIT

Publisher

apifyforge

Config

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

{
  "mcpServers": {
    "corporate-deep-research-mcp": {
      "url": "https://ryanclinton--corporate-deep-research-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 Corporate Deep Research?

Corporate Deep Research is an MCP server that gives AI agents instant access to 7 live corporate intelligence sources: SEC filings, stock market data, legal entity identifiers, customer reviews, consumer complaints, web research, and encyclopedic context. It returns financial health scores, governance grades, reputation risk levels, and investment risk classifications in under 3 minutes.

How to use Corporate Deep Research?

Add the server URL to your MCP client configuration (Claude Desktop, Cursor, Windsurf) using a JSON object with the URL and optional Authorization header. Call any of the 8 MCP tools (e.g., assess_financial_health, generate_deep_research_report) with a query parameter (company name or ticker) and optionally a sources array to select which data sources to query.

Key features of Corporate Deep Research

  • 7-source parallel corporate intelligence graph with typed edge relationships
  • 8 MCP tools covering financial health, reputation risk, governance, identity, and investment risk
  • Per-source selectability to control cost and latency per tool call
  • Composite scoring formulas for financial health, investment risk, and governance (A–F)
  • Filing anomaly detection using standard deviation of inter-filing gaps
  • Corporate identity tracing across LEI, Wikipedia, and stock registries
  • 5-minute TTL cache to reduce costs during iterative agent workflows
  • Dual transport support: SSE and Streamable HTTP

Use cases of Corporate Deep Research

  • Investment due diligence: first-pass screening with severity-ranked findings in under 3 minutes
  • M&A target assessment: combine financial health and reputation risk tools to eliminate poor targets
  • Vendor and counterparty screening: governance grades and identity cross-reference for onboarding
  • Portfolio risk monitoring: recurring composite risk score checks via Apify Schedules
  • ESG and governance analysis:

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