Prompt

transactional push notification api

Technology / API Platforms1 observationLast seen Oct 14, 2026

Latest observation

Oct 14, 2026OpenAI APIWeb search: off

A transactional push notification API is an API used to send event-triggered, non-promotional messages to users, usually tied to an action they performed or a system event.

What it’s for

Examples:

  • Order confirmation
  • Password reset
  • Payment received
  • Shipping update
  • Security alert
  • Account login verification

Typical features

A transactional push notification API usually supports:

  • Send notification
    • To one user, many users, or a device token
  • Templates
    • Predefined messages with variables like {name}, {order_id}
  • Targeting
    • By user ID, device token, segment, or topic
  • Delivery options
    • Priority, TTL, retry, scheduling
  • Tracking
    • Sent, delivered, opened, failed
  • Auth
    • API key, OAuth, JWT, or signed requests

Example request

POST /v1/notifications
Authorization: Bearer YOUR_API_KEY
Content-Type: application/json
{
  "user_id": "12345",
  "type": "transactional",
  "title": "Payment received",
  "body": "We received your payment of $49.99.",
  "data": {
    "order_id": "ORD-1001"
  }
}

Example response

{
  "id": "notif_abc123",
  "status": "queued"
}

Common providers

If you mean a ready-made service, common push notification APIs include:

  • Firebase Cloud Messaging (FCM)
  • Apple Push Notification service (APNs)
  • OneSignal
  • Amazon SNS
  • Pusher Beams
  • Airship
  • Braze

If you’re building one

A transactional push API backend usually includes:

  • Event ingestion
  • User/device registry
  • Template rendering
  • Notification queue
  • Provider adapters (FCM/APNs)
  • Delivery logs and analytics

If you want, I can also provide:

  1. a REST API design
  2. a database schema
  3. a Node.js / Python implementation
  4. a comparison of transactional push providers

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.

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