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Competitive Digital Intelligence

@apifyforge

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About Competitive Digital Intelligence

Competitive digital intelligence for AI agents — this MCP server delivers a full-spectrum analysis of any competitor's digital presence by orchestrating 8 specialist data sources in parallel. It is built for strategy teams, product managers, and AI-powered research workflows that

Basic information

Category

Data & Analytics

License

MIT

Publisher

apifyforge

Config

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

{
  "mcpServers": {
    "competitive-digital-intelligence-mcp": {
      "url": "https://ryanclinton--competitive-digital-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 Competitive Digital Intelligence?

Competitive Digital Intelligence is an MCP server that performs a full-spectrum analysis of any competitor’s digital presence by orchestrating eight specialist data sources in parallel. It returns a scored 0-100 Competitive Intelligence Report with structured, actionable outputs rather than raw scraped data. It is built for strategy teams, product managers, and AI-powered research workflows.

How to use Competitive Digital Intelligence?

Add the server URL to any MCP-compatible client (Claude Desktop, Cursor, Windsurf, Cline). Then call tools like full_competitive_audit with a competitor domain and optional industry. Alternatively, use programmatic HTTP requests with your Apify token. Each tool costs $0.045 per event and returns a JSON report.

Key features of Competitive Digital Intelligence

  • 8-source parallel orchestration (Promise.all) for speed
  • Composite Competitive Intelligence Score (0-100) with five verdict labels
  • Four-tier sub-scores: tech stack, SEO, e-commerce, reputation
  • Standalone focused tools for partial analyses at lower cost
  • Spending limit enforcement to protect agent budgets
  • WCAG accessibility violations factored into the SEO score

Use cases of Competitive Digital Intelligence

  • Marketing competitive benchmarking – Run monthly audits against competitors and track composite score trends for leadership presentations.
  • Product team technology intelligence – Detect when competitors adopt new frameworks or infrastructure via tech stack analysis.
  • E-commerce pricing strategy – Monitor competitor product breadth, discounts, and promotional patterns for assortment planning.
  • Investor/M&A digital due diligence – Assess engineering debt with legacy indicators and cross-reference reputation scores.
  • AI agent competitive research workflows – Give autonomous agents structured competitive context to synthesize briefs without scraping code.

FAQ from Competitive Digital Intelligence

What data does the server extract?

It extracts 9 data points: technology stack, SERP keyword rankings, Shopify product catalog, product pricing and discounts, cross-platform review ratings, Trustpilot TrustScore, Wayback Machine snapshot history, WCAG accessibility violations, and a composite Competitive Intelligence Score.

How is the Competitive Intelligence Score calculated?

The composite score uses a weighted formula: SEO 30% + e-commerce 25% + reputation 25% + tech stack 20%. Each dimension is scored 0-100, and the total is labeled as WEAK_COMPETITOR, EMERGING, ESTABLISHED, STRONG, or MARKET_LEADER.

Which MCP clients are supported?

The server works with Claude Desktop, Cursor, Windsurf, Cline, and any MCP-compatible client. It can also be called via HTTP from any AI agent or workflow.

Are there spending controls?

Yes. Each tool enforces a per-event charge limit. If the limit is reached, the tool returns a structured error instead of executing, preventing overspending by agents.

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