惯性聚合 高效追踪和阅读你感兴趣的博客、新闻、科技资讯
阅读原文 在惯性聚合中打开

推荐订阅源

酷 壳 – CoolShell
酷 壳 – CoolShell
P
Privacy & Cybersecurity Law Blog
G
GRAHAM CLULEY
T
The Exploit Database - CXSecurity.com
www.infosecurity-magazine.com
www.infosecurity-magazine.com
Threat Intelligence Blog | Flashpoint
Threat Intelligence Blog | Flashpoint
Project Zero
Project Zero
S
Security @ Cisco Blogs
TaoSecurity Blog
TaoSecurity Blog
A
Arctic Wolf
Webroot Blog
Webroot Blog
Hacker News - Newest:
Hacker News - Newest: "LLM"
Security Latest
Security Latest
H
Heimdal Security Blog
N
News and Events Feed by Topic
N
News | PayPal Newsroom
T
Tor Project blog
OSCHINA 社区最新新闻
OSCHINA 社区最新新闻
GbyAI
GbyAI
The Last Watchdog
The Last Watchdog
Y
Y Combinator Blog
宝玉的分享
宝玉的分享
Scott Helme
Scott Helme
A
About on SuperTechFans
M
MIT News - Artificial intelligence
V
V2EX
V
Visual Studio Blog
Recorded Future
Recorded Future
博客园 - 叶小钗
F
Fortinet All Blogs
L
Lohrmann on Cybersecurity
The GitHub Blog
The GitHub Blog
博客园 - Franky
P
Proofpoint News Feed
MyScale Blog
MyScale Blog
D
Darknet – Hacking Tools, Hacker News & Cyber Security
S
Secure Thoughts
D
DataBreaches.Net
Cyber Security Advisories - MS-ISAC
Cyber Security Advisories - MS-ISAC
博客园 - 三生石上(FineUI控件)
I
InfoQ
SecWiki News
SecWiki News
Blog — PlanetScale
Blog — PlanetScale
Engineering at Meta
Engineering at Meta
J
Java Code Geeks
B
Blog RSS Feed
AWS News Blog
AWS News Blog
Know Your Adversary
Know Your Adversary
V
Vulnerabilities – Threatpost
H
Help Net Security

DEV Community

Authentication Security Deep Dive: From Brute Force to Salted Hashing (With Java Examples) Why AI Systems Don’t Fail — They Drift Spilling beans for how i learn for exam😁"Reinforcement Learning Cheat Sheet" I Replaced Chrome with Safari for AI Browser Automation. Here's What Broke (and What Finally Worked) How Python Borrows Other People's Work The $40 Architecture: Processing 1 Billion API Requests with 99.99% Uptime Vibe Coding: A Workflow Guide (From Zero to SaaS) Most webhook security guides protect the wrong side. The scary part is delivery. Headless CMS for TanStack Start: Build a Blog with Cosmic EU Age Verification App "Hacked in 2 Minutes" — What Actually Happened Comfy Cloud’s delete function does not actually remove files Running AI Models on GPU Cloud Servers: A Beginner Guide Event-driven media intelligence with AWS Step Functions and Bedrock I scored 500 AI prompts across 8 quality dimensions — here's what broke How to Call Google Gemini API from Next.js (Free Tier, No Backend Needed) The Portal Protocol: Reclaiming Human Connection in the Age of AI How to Fix Your Team's Scattered Knowledge Problem With a Self-Hosted Forum Intro to tc Cloud Functors: A Graph-First Mental Model for the Modern Cloud Designing Multi-Tenant Backends With Both Ownership and Team Access I Built a Neumorphic CSS Library with 77+ Components — Here's What I Learned PostgreSQL Performance Optimization: Why Connection Pooling Is Critical at Scale Cómo construí un SaaS multi-rubro para gestionar expensas en Argentina con FastAPI + Vue 3 🚀 I Built an Ethical Hacking Scanner Tool – Open Source Project I Replaced /usage and /context in Claude Code With a Single Statusline A Pythonic Way to Handle Emails (IMAP/SMTP) with Auto-Discovery and AI-Ready Design I Collected 8.9 Million Polymarket Price Points — Here's What I Found About How Markets Really Move EcoTrack AI — Carbon Footprint Tracker & Dashboard Everyone's Using AI. No One Agrees How. 5 self-hosted ebook managers worth trying in 2026 Building Your First AI Agent with LangChain: From Chatbot to Autonomous Assistant Common SOC 2 Failures (Real World) Stop Vibe-Checking Your AI App: A Practical Guide to Evals How to Use SonarQube and SonarScanner Locally to Level Up Your Code Quality Your Next To-Do App Is Dead — I Replaced Mine with an OpenClaw AI Sign a Nostr event in 60 lines of Python using coincurve — no nostr-sdk, no nbxplorer, no rust toolchain ITGC Audit Explained Like You’re in Big 4 Patch Tuesday abril 2026: Microsoft parcha 163 vulnerabilidades y un zero-day en SharePoint Stop scraping everything: a better way to track competitor price changes Listing on MCPize + the Official MCP Registry while routing payments OUTSIDE the marketplace — how I kept 100% of my x402 revenue Building an AI-Powered Risk Intelligence System Using Serverless Architecture Why We Ripped Function Overloading Out of Our AI Toolchain Testing AI-Generated Code: How to Actually Know If It Works SaaS Churn Is Killing Your Business. Here Is What to Do About It (Without a Support Team) The Speed of AI Is No Longer Linear - And Self-Improving Models Are Why How to Implement RBAC for MCP Tools: A Practical Guide for Engineering Teams From Standard Quote to Persuasive Proposal: AI Automation for Arborists I built a CLI that scaffolds complete multi-tenant SaaS apps Axios CVE-2025–62718: The Silent SSRF Bug That Could Be Hiding in Your Node.js App Right Now The dashboard that ended our friendship Data Pipelines Explained Simply (and How to Build Them with Python) The Hidden Cost of AI Systems Nobody Talks About. undefined vs undeclared, and how typeof behaves Switching from file-based jobs to NATS/Kafka in Rust without changing code io_uring Adventures: Rust Servers That Love Syscalls Why Agentic AI is Killing the Traditional Database The POUR principles of web accessibility for developers and designers Quantum Neural Network 3D — A Deep Dive into Interactive WebGL Visualization How To Install Caveman In Codex On macOS And Windows Automation Pipeline Reliability: Why Your Workflow Breaks When Nobody Is Watching I Built an 'Open World' AI Coding Agent — It Works From ANY Folder From Freelancing to Product: A Tech Service Company's SaaS Transformation China's AI Giants: Adding Tencent Hunyuan & ByteDance Doubao to AI University (74 Providers) On the Vibe Coders and Their Lies clerk: Auto-Summarize Your Claude Code Sessions AI Weekly — 2026/04/10–04/17 | The Model Lockdown Is Here, but the Toolchain Is the Real Battleground AI 週報 — 2026/04/10–2026/04/17 模型封鎖潮來了,但工具鏈才是真戰場 Maybe this is how Open-Source apps are born... 🚀 Fine-Tune LLMs with LoRA and QLoRA: 2026 Guide tRPC v11 + Next.js App Router: End-to-End Type Safety Without the Boilerplate ShadCN UI in 2026: Why I Stopped Installing Component Libraries and Started Owning My Components SaaS Billing in React Server Components: Stripe + Supabase Without a Single `useEffect` Join our DEV Weekend Challenge — $1,000 in Prizes Across TEN winners! Submissions Due April 20 at 6:59 AM UTC. Implementing FSRS Spaced Repetition in Flutter + Supabase — Adding Memory Science to an AI Learning App "I Texted My Localhost From the Train — Claude Code Fixed the Bug Before I Got Home" I Built a Sales Prep AI and It Went Deeper Than Expected Design to Code #2: One JSON, Eleven Outputs Solving the 100M-Row Problem: A Summary Table Pattern for High-Volume Push Notification Logs Flutter Web With Wasm: What Actually Changes For Developers I Built 50 Royalty-Free Soundtracks for My Side Project in a Weekend Using AI Music Generation The Vibe Coding Security Checklist: 7 Things to Check Before You Ship Stop Letting Googlebot Guess Fix Your React App's SEO Right Desconstruindo o Streaming do LinkedIn: Como Criar um Engine de Extração de Vídeo de Alta Performance com HLS e FFmpeg (EDA Part-1) EDA (Exploratory Data Analysis) Explained With Real Life — Why Looking at Your Data Is the Most Important Step in Machine Learning Brand Relationship Management at Scale: Our 4-Touch Outreach System for 200+ Brands Why String.fromEnvironment() Might Return an Empty String in Dart JGuardrails 1.0.0 — Hardening Java LLM Apps Against Jailbreaks, Toxicity, and Prompt Injection Plan and Schedule a Full Week of Threads Content From One Claude Conversation Coding Cat Oran Ep3, Five Tables Changed Everything Updated: BFF Pattern I'm done watching freelancers get buried by 200 proposals. So I'm building the alternative. This is my first post BFS Algorithm in Java Step by Step Tutorial with Examples Tracking LLM Pricing Monthly: An Open Dataset for 22 AI Models How We Measure Content ROI on a Comparison Site: Revenue Attribution Without Perfect Data Introducing Nova AI Ops: The AI-Native Operating System for SRE Teams I built a free desktop video downloader for Windows — Grabbit How Talkie OCR Helps Vision-Impaired & Dyslexic Users Read the World Around Them VRCFaceTracking安装和iPhone面捕配置教程,有bug Even CrowdStrike Can't See Your Agents The Automation Gold Rush: What n8n Workflows and Claude Are Opening Up for Developers Right Now
I built a Stripe-native marketplace where AI agents pay for APIs automatically
PalabreX · 2026-06-24 · via DEV Community

I built a Stripe-native marketplace where AI agents pay for APIs automatically

A few weeks ago, Stripe shipped their Agent Toolkit — a way for AI agents to hold a payment method and spend money programmatically. I read the announcement and immediately thought: there's nowhere for agents to actually spend this money.

So I built one. This is the story of how, plus the technical decisions and dead ends along the way.

The problem

AI agents increasingly need to call external services — scrape a page, validate a phone number, generate a PDF. Today, that means one of three things for the developer wiring it up:

  • Hardcode an API key for every service the agent might need
  • Build a custom billing integration per provider
  • Maintain a growing pile of subscriptions for services the agent calls a handful of times

None of this is agent-native. An agent that discovers it needs a capability mid-task has no standard way to find a provider and pay for exactly what it uses.

MCP (Model Context Protocol) solves half of this — it standardizes how agents discover and call tools. Stripe Agent Toolkit solves the other half — it lets an agent actually pay for something. Nobody had connected the two into an actual marketplace. That's run.pay.

How it works

Two sides, one backend:

Sellers publish any API as a service with a price per call. A scraper, a validator, anything that returns JSON.

Agents connect once via an MCP endpoint and discover the entire catalog automatically:

{
  "mcpServers": {
    "runpay": {
      "url": "https://runpay-backend-visibility-production.up.railway.app/mcp"
    }
  }
}

From there, calling a service and paying for it is one request:

curl -X POST https://runpay-backend-visibility-production.up.railway.app/api/call/SERVICE_ID \
  -H "Content-Type: application/json" \
  -d '{"agent_id":"my-agent","payload":{"phone":"+33612345678"}}'

Stripe charges the agent's attached card, the request is forwarded to the seller's endpoint, the result comes back. The seller gets paid via Stripe Connect. Nobody touches a dashboard.

The architecture

Pretty boring on purpose — boring is reliable:

  • Backend: Node.js + Express on Railway
  • Database: PostgreSQL (also Railway)
  • Payments: Stripe Connect for payouts, a custom wrapper around the Payment Intents API for per-call charging
  • Discovery: a standard MCP server exposing list_services and call_service as tools
  • Email: Resend, for vendor onboarding and sale notifications

The interesting part isn't any single piece — it's how the payment flow has to behave for an autonomous caller.

What broke, and why

Stripe's minimum charge amount

My first instinct was to price services the way Twilio or AbstractAPI do — fractions of a cent per call. That's the right end-user price, but Stripe enforces a minimum charge (~$0.50 depending on currency), and on top of that takes a flat fee per transaction. Charging $0.01 per call means losing money on Stripe's fee alone.

The fix for v1 was pragmatic: price services at $0.60+ so a single Stripe charge clears the minimum and the fee stays a small percentage. It's not the long-term answer — a credit-based system (buy $10 of credits in one transaction, debit fractions of a cent per call) is the real fix, and it's next on the roadmap. But it would have delayed launch by weeks, and getting a working pay-per-call loop in front of people mattered more than getting the unit economics perfect on day one.

Auto-refunding failed calls

If a seller's endpoint times out or returns a 500, the agent has already been charged. There's no acceptable version of "sorry, no refund" when the thing that failed wasn't the agent's fault. So /api/call/:id wraps the seller request in a try/catch that triggers an automatic Stripe refund on any non-2xx response or timeout, before the error even reaches the agent. The agent sees a clean failure with refunded: true instead of a silent charge for nothing.

Designing the MCP surface for a marketplace, not a single tool

Most MCP servers I looked at expose a fixed set of tools — one server, one capability. A marketplace needs a different shape: one stable tool (call_service) that takes a dynamic service ID, plus a discovery tool (list_services) that returns whatever the catalog currently contains. The catalog changes as vendors join; the MCP surface itself shouldn't need to change. That distinction took a couple of false starts to get right — my first version tried to generate a new MCP tool per service, which works until you have 50 services and an agent's context window is full of tool definitions it'll never call.

Where it's at

Six services live right now — phone validation, web scraping, PDF generation, screenshot capture, plus batch variants of a couple of them. One real Stripe transaction has cleared the full loop: charge, call, refund-on-failure logic untested-in-anger (good), result returned to the agent in under two seconds.

The harder problem now isn't technical — it's the standard cold-start problem for any marketplace. Sellers won't list services with zero agents calling them; agents have no reason to integrate a marketplace with zero services. I've spent the last week doing the unglamorous work: building services myself to seed the catalog, manually reaching out to MCP server maintainers who already have something worth monetizing, getting indexed on Smithery and the awesome-mcp-servers list.

What I'd tell someone building something similar

Price for Stripe's economics first, your ideal economics second. I lost a day discovering the minimum-charge issue in production instead of reading Stripe's docs more carefully upfront.

Auto-refund anything that wasn't the caller's fault. An autonomous agent can't dispute a charge. If your system charges before it confirms success, it needs to un-charge automatically when that confirmation never arrives.

Design the discovery layer to scale independently of the catalog. If your MCP surface has to change every time someone adds a service, you've built a single-tenant integration, not a marketplace.


run.pay is live at getrunpay.com. The docs have copy-pasteable curl examples for every service, and there's a sandbox mode if you want to test the flow without a real charge. The MCP server source and a Python SDK are both on GitHub.

If you maintain an MCP server with something worth monetizing, or you're building an agent that needs to call external services, I'd genuinely like to hear what would make a marketplace like this useful to you.