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Practical guides, walkthroughs, and comparisons for building an AI agent that discovers, prices, and pays for real-world data on its own. Each guide answers one concrete question, honestly about what runs in production today versus what is still on the roadmap.
- MCP guide
How to connect Claude to real-world data with MCP
Step-by-step: connect an MCP client such as Claude to Proxygate, search a catalog of real-world data APIs, check a price, and make a paid call in USDC, all inside the conversation.
- Comparison
Seat license vs pay-per-call: what changes when your API buyer is an agent
A seat license prices for a human looking at a screen. An agent never looks at a screen. Here is what breaks, and what pay-per-call access looks like instead.
- Guide
How to build a research agent that buys its own data
A walkthrough for developers: wire an agent to discover a real-world data API, pay for a single call in USDC from one balance, and get back a signed receipt.
- Comparison
Best ways to give an AI agent a payment method in 2026
Cards, shared API keys, native on-chain payment protocols, and prepaid metered balances, compared for the specific case of a buyer that is software, not a person.