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Automatically Generate Zod Schemas from a REST API

Automatically generates Zod validation schemas and their inferred TypeScript types from a REST API JSON response example.

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Tu es un expert TypeScript spécialisé en validation de données avec Zod. À partir de la réponse JSON suivante provenant de l'endpoint [ENDPOINT_URL] de l'API [NOM_API], génère les schémas Zod complets et optimisés.

Voici un exemple de réponse JSON de l'API :

[EXEMPLE_REPONSE_JSON]

Consignes précises :

  1. Analyse chaque champ du JSON : type, nullabilité, format (date, email, UUID, URL…), et valeurs possibles (enum).
  2. Génère un schéma Zod principal et des sous-schémas pour chaque objet imbriqué.
  3. Utilise les bons validateurs Zod : z.string().uuid(), z.string().email(), z.string().datetime(), z.coerce.date(), z.enum([...]), z.discriminatedUnion(), etc.
  4. Ajoute des .describe() sur chaque champ pour documenter le schéma.
  5. Exporte le type TypeScript inféré avec z.infer<typeof schema>.
  6. Si la réponse est paginée, crée un schéma générique de pagination réutilisable.
  7. Génère une fonction de parsing typesafe pour valider les réponses fetch :
    • Gestion d'erreur avec ZodError formaté
    • Version safe (safeParse) et stricte (parse)
  8. Ajoute des transformations .transform() si des champs nécessitent une conversion (string → Date, string → number).

Format de sortie attendu :

  • Un fichier schemas/[nom-ressource].schema.ts avec les schémas
  • Un fichier types/[nom-ressource].types.ts avec les types inférés
  • Un fichier lib/api-parser.ts avec les fonctions de parsing
  • Des commentaires JSDoc sur chaque export

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Why this prompt works

<p>This prompt transforms any API JSON response into robust, typed <strong>Zod</strong> schemas. Instead of manually writing validators, you simply provide a response example and the AI analyzes each field to choose the most precise validator: <strong>z.string().uuid()</strong> for identifiers, <strong>z.string().datetime()</strong> for ISO dates, <strong>z.enum()</strong> for finite values, etc.</p><p>The approach is structured in three separate files to respect <strong>separation of concerns</strong>: Zod schemas in a dedicated file, TypeScript types inferred via <strong>z.infer</strong> in another, and parsing functions in a utility module. This organization facilitates maintenance and type sharing between frontend and backend.</p><p>To maximize results, provide a JSON response that is <strong>as complete as possible</strong>, including edge cases: nullable fields, empty arrays, nested objects and paginated responses. The richer the example, the more precise the generated schemas will be and the better they will cover production error cases.</p>

Use Cases

Type responses from a third-party API without OpenAPI documentationMigrate a JavaScript project to TypeScript with runtime validationCreate a validation layer for a fetch or axios API client

Expected Output

Three ready-to-use TypeScript files: a Zod schema file with precise validators and descriptions, an exportable inferred types file, and a typesafe parsing module with formatted error handling.

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