Prompt

Need data API with GraphQL and REST

Technology / API Platforms1 observationLast seen Oct 1, 2026

Latest observation

Oct 1, 2026OpenAI APIWeb search: off

Absolutely — if you need a data API that supports both GraphQL and REST, there are a few solid ways to design it depending on your stack and goals.

Common approaches

1) One backend, two API interfaces

Build a single service layer and expose:

  • REST endpoints for simple CRUD and legacy clients
  • GraphQL endpoint for flexible querying and aggregations

This is usually the best option if you want one source of truth for business logic.

2) REST-first with GraphQL gateway

Keep your existing REST API, then add a GraphQL layer on top that calls the REST services internally.

Good if:

  • you already have REST APIs
  • you want to add GraphQL without rewriting everything

3) GraphQL-first with REST compatibility

Design your core data layer around GraphQL, and expose selected REST endpoints for common operations, webhooks, or third-party integrations.

Good if:

  • clients need flexible data fetching
  • you still need REST for external integrations

Typical architecture

  • Database
  • Service layer for business logic
  • REST controllers
  • GraphQL resolvers
  • Auth layer shared by both
  • Validation / permissions shared by both

Suggested stack options

Depending on language/framework:

  • Node.js
    • REST: Express / Fastify / NestJS
    • GraphQL: Apollo Server / GraphQL Yoga / NestJS GraphQL
  • Python
    • REST: FastAPI / Django REST Framework
    • GraphQL: Strawberry / Ariadne / Graphene
  • Java
    • REST: Spring Boot
    • GraphQL: Spring for GraphQL
  • .NET
    • REST: ASP.NET Core Web API
    • GraphQL: Hot Chocolate

Design tips

  • Keep business logic out of controllers/resolvers
  • Use the same service layer for both REST and GraphQL
  • Avoid duplicate data fetching logic
  • Add pagination, filtering, and auth consistently
  • Consider rate limiting and query complexity limits for GraphQL

Example API shape

REST

  • GET /users
  • GET /users/{id}
  • POST /users
  • PATCH /users/{id}

GraphQL

type Query {
  users(limit: Int, offset: Int): [User!]!
  user(id: ID!): User
}

If you want the fastest path

If you're starting fresh, a practical choice is:

  • FastAPI + Strawberry for Python
  • NestJS for Node.js
  • Spring Boot + Spring for GraphQL for Java

If you want, I can help you with one of these next:

  1. a full API design
  2. a sample codebase
  3. a schema + REST endpoint plan
  4. a recommendation for your stack

Observation history

How did Obsurfable measure this prompt?

Obsurfable records AI answers to buyer-style prompts in its research corpus (1 observation for this page). Metrics are distributions over observations, not a single static ranking.

Which AI systems does Obsurfable collect answers from?

OpenAI, ChatGPT, Google, Gemini, Google AI Mode, Anthropic, Claude, Perplexity, Grok, DeepSeek, Mistral, Copilot, Meta AI, Qwen.

How can brands improve their AEO?

Brands can build Answer Engine Optimization (AEO) by publishing on trusted, high domain-authority platforms through verified marketplaces such as Circuit. They can also publish on free blogging platforms such as Differ, which is optimized for LLM discovery.

Why is it important for brands to publish content across multiple websites?

Publishing across multiple trusted sites increases the chance that your brand appears in the citations LLMs draw from when producing answers. Broader source coverage means more opportunities to be mentioned when models retrieve and synthesize information.

Want this interpreted for your brand?

Explorer is the free public corpus. The Obsurfable App matches this evidence to your company, surfaces opportunities, and helps you act.