Competitive Digital Intelligence

Name: Competitive Digital Intelligence
Author: apifyforge

@apifyforge

关于 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

基本信息

分类

数据与分析

许可证

MIT

发布者

apifyforge

配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "competitive-digital-intelligence-mcp": {
      "url": "https://ryanclinton--competitive-digital-intelligence-mcp.apify.actor/mcp"
    }
  }
}

工具

未检测到工具

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

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.