Discovery and Purchase of Real-Time Rights-Cleared Data from Trusted Sources

This reference implementation demonstrates agentic commerce at its best and in Production! Your agent answers any query that you ask of it, by finding and purchasing real-time, rights-cleared data, from trusted sources, in a structured and easy-to-consume format. You no longer have to rely on your agent scraping unstructured, and possibly untrusted, data directly from the web, likely without permission, in real-time, or else falling-back to old and out-of-date data that was used to originally train the LLM, that your agent uses, possibly months or even years ago.

This reference implementation showcases micropayments and consumption-based pricing - your agent only pays for the data that it purchases and uses to answer your queries. You get the most up-to-date data from trusted sources and the data providers get paid for their work!

This is a reference implementation that our customer, Dappier, has built to showcase how they make their data available to agents. Dappier's MCP server is live and ready to sell data to your agents today!

This reference implementation uses the production MCP servers from Dappier and Skyfire and conducts live payments in production. The payments are based on USDC stable coins that work well for micropayment scenarios.

Dappier has included the source code for the agent that they built on AutoGen.

Artifacts

• Dappier documentation
• Video
• Live agent
• Agent repos on GitHub
  • Frontend UI
  • Backend Multi-Agent Orchestration

This reference implementation showcases the versatility of the KYAPay protocol and the near universal applicability of the protocol in enabling agentic commerce.