The Agentic Economy,
Decoded.
Engineering insights, open protocols, and economic models for autonomous AI agent payments, machine-to-machine discovery, and creator monetization.
What is .well-known/x402? Standardizing Machine-Readable Pricing & Discovery for AI Agents
Human pricing pages fail when consumers are autonomous software agents. Discover how the RFC 8615 .well-known/x402.json standard gives AI agents, Claude MCP tools, and LLMs the ability to proactively discover paid endpoints, evaluate budget policies, negotiate payment rails (Base USDC & Lightning), and execute transactions on the fly.
The Pay-Per-Call Data Economy: Selling Real-Time APIs to Autonomous AI Agents
Why monthly SaaS subscriptions fail for machine consumers, how the fast-decaying value of live data demands sub-cent HTTP 402 micropayments, and unit economics across 6 real-time data verticals.
How to Connect PayAgents to Claude Desktop & Other LLMs (Cursor, OpenAI, Gemini) using MCP
Give your AI assistants an autonomous spending wallet. Connect payagents-mcp to Claude Desktop, Cursor, or custom agents built on OpenAI & Gemini to pay for APIs across Lightning & Base USDC with policy guardrails.
What Are Non-Custodial Agent Payments? A Simple Guide to Direct Settlements
Understand why zero platform custody matters for API creators, how direct peer-to-peer settlement works on Base USDC & Lightning, and how to set up your addresses in 2 minutes.
How to Monetize MCP Servers with Micro-Payments
Learn how to configure transaction policies and gate specialized Model Context Protocol tools behind multi-rail micropayments (Lightning & Base USDC) using payagents-mcp middleware.
A Guide to AI Agent Payments: Lightning L402 vs. Stablecoin x402
Compare routing performance, settlement speed, transaction costs, and SDK implementation differences between Lightning L402 and Base stablecoin x402 rails.
Build on the agent payment layer.
Integrate our multi-rail SDK and give your AI agents the capability to discover, negotiate, and transact securely with built-in spending policies.