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README.md

Competitive Intelligence Agent

Role Agent · run inside Claude, ChatGPT, Claude Code, Cursor, Codex, OpenClaw, Hermes, or any MCP client. Read-only public-data research — eyes, not hands.

The Competitive Intelligence Agent collects public launch, hiring, content, and customer-language signals about a competitor and turns them into a brief: positioning, channels, reaction, and risks. It bundles the Competitor Launch Monitor Skill.

Who it's for

  • Founders, PMMs, and sales teams tracking competitor motion
  • Strategy teams that need positioning evidence, not vibes
  • Researchers building a defensible competitive landscape

Skills in this agent

  • competitor-launch-monitor — Collect public launch signals and turn them into a competitive brief. (enhanced)
  • competitor-profiling — Turn a competitor's public footprint into a structured, source-cited profile — positioning, product, pricing, and implications. (enhanced)

What you get

  • Competitor launch or account brief
  • Positioning and message map from public claims
  • Evidence from posts, videos, jobs, and threads
  • Risks, opportunities, and the next monitoring queries

Install & run

Connect in a couple of steps — prompt, web connector, or plugin, all read-only with OAuth sign-in (new workspaces get free trial credits):

Paste one prompt (Claude Code, Codex, Cursor, OpenClaw, Goose — any agent that manages its own MCP servers): ask it to add the UnifAPI MCP server at https://mcp.unifapi.com — a remote streamable-HTTP, read-only server — and run the OAuth sign-in. No API key to paste.

Web connector — no terminal (Claude, ChatGPT, Perplexity, Grok): add a custom connector pointed at https://mcp.unifapi.com, then authorize over OAuth.

Add the skills in any client with npx skills add unifapi-agent/agents. Claude-compatible hosts (Claude Code, Claude Desktop, OpenClaw) can instead install skills + MCP together as a plugin: /plugin marketplace add unifapi-agent/agents then /plugin install unifapi@unifapi.

Step-by-step for every client → https://unifapi.com/mcp

Then ask your assistant:

Analyze this competitor's public launch. Pull posts, reactions, videos, hiring signals, and community response across X, LinkedIn, YouTube, Reddit, and news. Summarize positioning, channels, customer language, and risks, and give me a watchlist to re-check weekly.

Reads from

UnifAPI APIs: seo, browser, twitter, linkedin, youtube, reddit, news, hacker-news — public data only.

FAQ

Can it monitor competitors continuously?

It runs on demand and returns a re-runnable watchlist. Schedule it in your own assistant to get a fresh brief on a cadence; UnifAPI supplies the live records each run.

Does it use anything but public data?

No. Everything is public: posts, public company pages, jobs, videos, and threads. There's no private or leaked data, and every claim links to its source.

How does it relate to Social Listening?

Social Listening watches a topic or your own brand broadly; Competitive Intelligence is aimed at named competitors and their launches. They share several APIs and are often run together.

Links

Topics: AI competitor analysis tools · AI competitor research · competitor monitoring tool · competitive intelligence tool · how to use AI for competitor research · market research AI · competitor analysis tool