stacks-network / stacks-network/docs

Tutorial: Building Paid AI APIs with x402 on Stacks

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Dominant language
JavaScript
Stars
185
Forks
273
Avg merge
4d 13h
Merged PRs (30d)
4

Description

Summary

Add a comprehensive tutorial on building paid AI APIs using the x402 payment protocol on Stacks. This fills a gap in the current AI use case documentation which only shows code snippets without end-to-end implementation guidance.

Problem

The current AI use cases page shows x402-Stacks code snippets but lacks:

  • Step-by-step tutorial on building complete APIs
  • Payment middleware configuration examples
  • Client integration patterns
  • Pricing strategies and best practices
  • Production deployment guidance

This is a high-impact gap for developers building agent-to-agent payment systems and AI service monetization.

Solution

I've created a complete working example with merge-ready tutorial content:

Repository: https://github.com/bastiatai/x402-ai-api

What's Included
  1. Complete Working Code

    • Express.js server with x402 payment middleware
    • Three example AI endpoints (sentiment, summarization, extraction)
    • Automatic payment client using axios interceptor
    • TypeScript with full type safety
  2. Comprehensive Tutorial (TUTORIAL.md)

    • Part 1: Understanding x402 protocol
    • Part 2: Project setup
    • Part 3-4: Server and client implementation
    • Part 5: Configuration
    • Part 6: Testing
    • Part 7: Pricing strategies (fixed, tiered, dynamic)
    • Part 8: Production deployment
    • Part 9: Advanced patterns (error handling, rate limiting, webhooks)
  3. README with Quick Start

    • Installation instructions
    • API endpoint documentation
    • How it works explanation
    • Production considerations
Tutorial Quality
  • ✅ Production-ready code that compiles and runs
  • ✅ Step-by-step with code examples
  • ✅ Explains WHY x402 matters (vs traditional API monetization)
  • ✅ Covers common issues and solutions
  • ✅ Includes next steps and resources
  • ✅ Positioned for agent-to-agent economy use case
Suggested Placement

Add tutorial link to:

  1. docs/build/get-started/use-cases/ai.md - under x402-Stacks section
  2. Create new tutorial page: docs/build/tutorials/x402-ai-api.md
Tutorial Content

The tutorial is ready to merge as-is from the repository, or I can provide it as a markdown file for direct inclusion in the docs repo.

Why This Matters

x402 enables emerging use cases like:

  • AI agents paying other AI agents for services
  • Pay-per-use API monetization without intermediaries
  • Building the agent economy on Bitcoin-secured infrastructure

This tutorial makes these patterns accessible to developers building on Stacks.

Files Available

  • TUTORIAL.md - Complete step-by-step tutorial (ready to merge)
  • README.md - Quick start guide
  • src/server.ts - Working server implementation
  • src/client.ts - Working client implementation

Let me know if you'd like me to submit a PR with the tutorial content or if you prefer to review and adapt it directly.


Related: Addresses the gap in AI use case documentation noted in the current docs structure. Complements existing x402-Stacks code snippet with full implementation guidance.

Contributor guide

No contributing guide indexed for this repository

First steps

  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

Research direction

Review docs/build/get-started/use-cases/ai.md and the proposed docs/build/tutorials/x402-ai-api.md location. Read TUTORIAL.md, README.md, src/server.ts, and src/client.ts in the linked repository, then verify that the adapted tutorial covers setup, implementation, testing, pricing, and deployment before linking it from the AI use cases page.

Written by the indexing model from the issue text.

Assessment

Tech stack
express, javascript, typescript
Domain
backend-api-design, documentation
Issue type
Documentation
Difficulty
3/5
Estimated time
1-2 days
Activity status
Stale
Clarity
Mostly clear
Newbie friendliness
42/100

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