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Overview Quickstart

Getting started What is npayload?How npayload works What npayload is not Understanding autonomous systems

Use cases AI agent communication Event-driven microservices Real-time notifications Webhook management Data streaming IoT device messaging

Core concepts Channels Messages Subscriptions Streams Dead letter queue Consumer groups Event catalogue Cross-region messaging Marketplace Architecture

Guides Authentication Publishing messages Working with channels Subscriptions and delivery Webhooks Streams Encryption and privacy Dead letter queue Connectors Marketplace integration Cross-region messaging Idempotency and reliability Testing Error handling

Patterns and best practices Fan-out pattern Saga orchestration Event sourcing CQRS pattern

Pipes patterns Event processing AI pipeline

Node.js quickstart Next.js quickstart Express quickstart Hono quickstart Python quickstart Bun quickstart Remix quickstart React quickstart

SDKs Node.js SDK React SDK Browser SDK ASP SDK

Marketplace Publishing to the marketplace Consuming from the marketplace Listings Reviews and ratings

Agent Session Protocol

Solutions npayload for SaaS Platforms npayload for Fintech npayload for AI Companies npayload for Ecommerce

Migration guides Migrate from Apache Kafka Migrate from RabbitMQ Migrate from AWS SNS/SQS

Platform Security Regions and availability Compliance Limits and quotas

Resources Error codes Rate limits Glossary Troubleshooting FAQ

Changelog Support

PipesPatterns

Pipes patterns

Common workflow patterns for event processing, AI pipelines, and automation

Event processing

Filter, transform, enrich, and route channel events to multiple outputs

AI pipeline

Build autonomous AI data processing workflows with classification, extraction, and generation

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Saga workflows

Multi-step orchestration with automatic compensation on failure

Event processing

React to channel events, transform payloads, and route to multiple outputs