Prompt

How do I send a webhook when a record is created in my app?

Technology / API Platforms1 observationLast seen Oct 5, 2026

Latest observation

Oct 5, 2026OpenAI APIWeb search: off

To send a webhook when a record is created, you generally do this in your app’s “create record” flow:

  1. Save the record
  2. Trigger a webhook call to the external URL
  3. Include the new record data in the request payload

Basic approach

1) Define the webhook URL

This is the endpoint on the receiving system, for example:

https://example.com/webhooks/record-created

2) Send an HTTP POST after creation

Most webhooks are sent as a POST request with JSON.

Example payload:

{
  "event": "record.created",
  "id": "123",
  "name": "New Record",
  "created_at": "2026-10-05T12:34:56Z"
}

3) Implement it in your app

Here’s a simple example in Node.js using fetch:

async function createRecord(data) {
  const record = await db.records.insert(data);

  await fetch("https://example.com/webhooks/record-created", {
    method: "POST",
    headers: {
      "Content-Type": "application/json",
      "X-Webhook-Event": "record.created"
    },
    body: JSON.stringify({
      event: "record.created",
      record
    })
  });

  return record;
}

Important best practices

  • Don’t block the user request if the webhook is slow
    • Prefer sending it asynchronously via a job queue/background worker.
  • Retry on failure
    • Webhooks can fail due to network issues.
  • Sign the payload
    • Add an HMAC signature header so the receiver can verify authenticity.
  • Avoid sending sensitive data unless necessary.
  • Log deliveries
    • Store success/failure for debugging.

Better production pattern

Instead of calling the webhook directly in the request, you can:

  • create the record
  • enqueue a background job
  • worker sends the webhook
  • retry if needed

That makes your app more reliable.

If you want, I can show you:

  • a Node.js, Python, PHP, or Ruby example
  • how to secure webhook signatures
  • how to do this with a queue/background job

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 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.