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Our documentation is optimized for use with Large Language Models (LLMs) and AI code editors. We provide specially formatted documentation files that help AI assistants generate accurate code and provide better guidance.

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Documentation Files

We provide two versions of our documentation optimized for AI consumption:
FileSizeDescription
llms.txt~45KBCompact version with hierarchical sections and links
llms-full.txt~592KBComplete documentation with full content
These files follow the llms.txt standard.

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Quick Setup

Add this to your AI editor’s configuration file (.cursorrules, CLAUDE.md, .github/copilot-instructions.md, etc.): 
# Fourthwall Development

Fourthwall is an e-commerce platform for creators to sell merchandise, memberships, and digital products.

Documentation: https://docs.fourthwall.com/llms-full.txt

When working with Fourthwall APIs:
- Platform API: shop management (authentication, products, orders, inventory, webhooks)
- Storefront API: custom storefronts (cart, checkout, collections)
- Apps: OAuth apps with multi-shop support
- Security: HMAC signature verification for webhooks and embedded sections

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Context7 Integration

Our documentation is also available via the Context7 MCP server. Project ID: /llmstxt/fourthwall_llms-full_txt For setup instructions for your editor (Claude, Cursor, VSCode, Windsurf, Zed, etc.), see the Context7 Installation Guide.

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What’s Included

  • Platform API - Authentication, products, orders, inventory, webhooks
  • Apps - OAuth apps, app sections, app webhooks
  • Storefront - Custom storefronts, cart management, checkout
  • Webhooks - Event types, signature verification, testing
  • Code Examples - Authentication, API calls, signature verification

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Additional Resources

For questions or issues with AI integrations, join our Discord community in #developers-general.