Mock a Full GraphQL API From Your Schema — No Server Required

GraphQL is fantastic for frontend teams — you ask for exactly the data you need and nothing more. But standing up a GraphQL server just to prototype a new screen? That's a lot of wiring for something that should take five minutes.

The Problem With GraphQL Prototyping

Most GraphQL mock tools ask you to:

• Install a local server (Apollo, Yoga, Mercurius).
• Write resolvers for every type and field.
• Maintain seed data in a separate file.
• Re-deploy every time your schema changes.

That's fine for production — but when you just need a working endpoint to build a dashboard, it's overkill.

How moqapi.dev Makes It Instant

moqapi.dev takes a different approach. You give it your SDL (Schema Definition Language), and it gives you a live GraphQL endpoint. Here's the workflow:

1. Paste your SDL — types, queries, mutations, enums, interfaces — the full schema text.
2. Import — the parser resolves every type, detects relationships, and creates a mock data store.
3. Query immediately — your endpoint is live. Send any query and get realistic, schema-accurate responses.

What Gets Resolved Automatically

The mock resolver handles:

• Scalar types — String, Int, Float, Boolean, ID, and common custom scalars like DateTime.
• Enums — returns one of your defined values at random.
• Object relationships — if a User has a posts: [Post] field, the resolver links generated Users to Posts.
• Nested queries — deeply nested selection sets resolve correctly.
• Mutations — create, update, and delete operations modify the in-memory store and return updated objects.

Example: From SDL to Working Endpoint

Paste this into the GraphQL import dialog:

type User {
  id: ID!
  name: String!
  email: String!
  posts: [Post!]!
}

type Post {
  id: ID!
  title: String!
  body: String!
  author: User!
}

type Query {
  users: [User!]!
  user(id: ID!): User
  posts: [Post!]!
}

type Mutation {
  createUser(name: String!, email: String!): User!
  createPost(title: String!, body: String!, authorId: ID!): Post!
}

Within seconds you'll have a GraphQL endpoint at /api/invoke/your-project/graphql that responds to these exact queries and mutations with AI-generated realistic data.

When This Saves You Time

• Frontend sprints — designers and developers can build components against a real GraphQL API before the backend team is ready.
• Demo environments — show investors or stakeholders a working product without touching production data.
• Integration testing — point your test suite at the mock endpoint and run deterministic assertions.
• Schema exploration — experiment with schema changes and see how they affect responses, without deploying anything.

Getting Started

1. Go to Mock APIs → GraphQL in your dashboard.
2. Click Create Mock API and choose GraphQL.
3. Paste your SDL in the import dialog.
4. Click Import — your endpoint is live immediately.

No resolvers to write, no server to deploy, no dependencies to install. Just paste your schema and start querying.

Try it free at moqapi.dev/signup.