Prompt

How do I combine multiple APIs into one endpoint?

Technology / Developer Tools3 observationsLast seen Oct 11, 2026

Latest observation

Oct 11, 2026OpenAI APIWeb search: off

To combine multiple APIs into one endpoint, you usually build a backend “facade” or aggregation layer that calls each API, merges the results, and returns a single response to the client.

Common approaches

1) Backend aggregation endpoint

Create your own endpoint, for example:

GET /dashboard-data

This endpoint:

  1. Receives one request from the client
  2. Calls multiple APIs internally
  3. Combines the responses
  4. Returns one unified JSON payload

This is the most common and flexible approach.


2) API Gateway / BFF pattern

If you have multiple clients (web, mobile, etc.), use:

  • API Gateway for routing, auth, rate limiting, and sometimes response composition
  • BFF (Backend for Frontend) if each client needs different combined data

3) Serverless function / edge function

If the logic is simple, you can use:

  • AWS Lambda
  • Cloudflare Workers
  • Vercel/Netlify functions

These can act as a lightweight aggregation endpoint.


Example in Node.js / Express

import express from "express";

const app = express();

app.get("/combined", async (req, res) => {
  try {
    const [usersRes, postsRes, commentsRes] = await Promise.all([
      fetch("https://api.example.com/users"),
      fetch("https://api.example.com/posts"),
      fetch("https://api.example.com/comments")
    ]);

    const [users, posts, comments] = await Promise.all([
      usersRes.json(),
      postsRes.json(),
      commentsRes.json()
    ]);

    res.json({
      users,
      posts,
      comments
    });
  } catch (err) {
    res.status(500).json({ error: "Failed to fetch combined data" });
  }
});

app.listen(3000);

Important considerations

Performance

  • Use Promise.all() / parallel requests when APIs are independent
  • Add caching if responses don’t change often

Error handling

Decide what to do if one API fails:

  • Fail the whole endpoint
  • Return partial data
  • Return fallback values

Example partial response:

const results = await Promise.allSettled([
  fetch("https://api1.com/data"),
  fetch("https://api2.com/data")
]);

Data transformation

You may need to normalize different API formats into one consistent schema.

Authentication

If the APIs require different keys/tokens, store them securely on the server, not in the client.

Rate limits

Be careful: one client request may trigger multiple upstream requests.


Example response shape

{
  "user": {
    "id": 1,
    "name": "Alice"
  },
  "orders": [
    { "id": 101, "total": 49.99 }
  ],
  "recommendations": [
    { "id": 201, "title": "Product A" }
  ]
}

Best practice recommendation

If you’re building a real app:

  • Put the composition logic on the server
  • Keep the client calling one endpoint
  • Use parallel fetches, caching, and error handling
  • Consider GraphQL if you need highly flexible aggregation

If you want, I can show you how to do this in:

  • Node.js / Express
  • Python / FastAPI
  • Next.js
  • AWS Lambda
  • GraphQL

Observation history

How did Obsurfable measure this prompt?

Obsurfable records AI answers to buyer-style prompts in its research corpus (3 observations 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 dotdotPR. 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.