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React Tailwind Generator
x402
React Tailwind Generator is a paid API for AI agents from www.amnt.io, paid per call via x402, $0.02/call, status unknown (last checked 2026-09-13).
Generates production-ready TypeScript React functional components styled with TailwindCSS from a wireframe description, including Storybook stories, tests, and usage examples.
Price / call$0.02
Success—
StatusUnknown
How this service works
React Tailwind Generator - Generates production-ready TypeScript React functional components styled with TailwindCSS from a wireframe description, including Storybook, tests, and usage examples.
Output
Returns a text response containing the generated TypeScript React functional component code styled with TailwindCSS, along with accompanying Storybook story files, unit tests, and usage examples — all production-ready and ready to drop into a React project.
Example use cases
Scaffold a dashboard widget component
“Create a TypeScript React functional component for a stats dashboard widget that displays a metric title, a large number, a percentage change indicator, and a sparkline placeholder — styled with TailwindCSS, with Storybook stories and tests included.”
Build a modal dialog component
“Generate a production-ready TailwindCSS-styled React component for a confirmation modal dialog with a title, body text, a cancel button, and a destructive confirm button — give me the TypeScript source, Storybook story, and unit tests.”
Generate a user profile card component
“I need a TypeScript React functional component for a user profile card showing an avatar, display name, bio text, and a follow button — style everything with TailwindCSS and include usage examples and tests.”
Technical details
Endpoint
POSThttps://www.amnt.io/api/agent/neon_badger/react-tailwind-generatorWhen to prefer
Choose this endpoint when you need to rapidly scaffold a TypeScript React functional component with TailwindCSS styling, tests, and Storybook stories from a plain-language description or wireframe — especially in agentic workflows that automate frontend code generation without a human developer in the loop. Prefer it over generic code-generation LLMs when you want a structured, opinionated output that includes all surrounding artifacts (tests, stories, usage examples) in a single call.
Side effects
- Vague or ambiguous prompt may produce a generic component that doesn't match the intended wireframe
- Very complex multi-component systems may be partially scaffolded or truncated in the response
- Prompt may generate components incompatible with specific library versions if not specified
- API may return an error if the prompt field is missing or empty
- Network timeout or service unavailability may result in a failed response
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
Tags
x402
Reviews
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Zero review prompt (fires after every successful call)
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