Discovery and Purchase of Premium Financial Data by an Agent

This reference implementation demonstrates agentic commerce in production.

An autonomous agent performs a financial analysis for a human user by:

Discovering a seller of premium financial data
Creating an account with the seller
Locating a specific dataset
Purchasing the dataset
Downloading the data
Generating a financial analysis in Google Sheets

The entire workflow is executed autonomously, including identity verification and payment, using Skyfire's token-based protocol.

Artifacts

Demo Video

Watch the full walkthrough of the agent performing discovery, payment, and reporting.

Live Demo

Run the agent yourself and experience real-time service discovery, token creation, and data purchase.

GitHub Repo

Explore the full source code for the agent and multi-MCP integration.

This demo showcases the versatility of the KYAPay protocol and its applicability to autonomous, agent-to-agent commerce across data, APIs, and services.

What This Demo Includes

This demo includes source code for:

Agent: Orchestrates the end-to-end workflow
Dappier MCP Server: Seller of premium financial datasets
Reporting MCP server: Generates the structured output in Google Sheets

The workflow integrates with the Skyfire MCP Server as the identity and payment layer.

For details on using the Skyfire MCP server, see here.

Together, these components showcase multi-MCP orchestration and programmable payments between agents and services.