> For the complete documentation index, see [llms.txt](https://docs.appear.sh/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.appear.sh/getting-started/who-is-appear-for.md).

# Who is Appear for?

Appear is built for **engineering teams at AI-focused enterprises** who need their APIs to work seamlessly with intelligent systems—without the years-long retrofit projects most companies face.

**The Core Problem** Every company is racing to deploy AI, but legacy APIs aren't ready. Traditional APIs are hand-maintained, poorly documented, and incompatible with AI agents that expect self-describing, discoverable systems. This creates a massive bottleneck for AI transformation.

**Who Benefits from Appear?**

**Engineering Teams Building AI Features** You need APIs that AI agents can discover and interact with automatically.

* **Automatic MCP Generation** – Turn existing APIs into AI-agent-ready interfaces
* **Real-time Schema Intelligence** – APIs that evolve and stay current automatically
* **Offline-First Development** – Build AI features whether online or offline

**Platform & Infrastructure Teams** You're responsible for making company APIs AI-ready at scale.

* **Schema Automation** – Capture and evolve schemas from live traffic automatically
* **Zero-Friction Integration** – Transform legacy APIs without rewrites
* **Intelligent Conflict Resolution** – Prevent API breakage across distributed teams

**Technical Leaders & Architects** You need to enable AI transformation without disrupting existing systems.

* **API Intelligence Layer** – Comprehensive view of your entire API ecosystem
* **Automated Compliance** – Ensure APIs meet AI-agent expectations
* **Strategic Insights** – Understand which APIs are AI-ready and which need attention

**If you're building AI-powered products** and your APIs are blocking progress, Appear transforms your existing infrastructure into the intelligent, self-describing systems that AI agents expect—while your team sleeps.

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If you have any queries or require support with the above instructions, please [get in touch](/getting-started/get-in-touch.md) with us.