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How to compare products for a shopping brief with Northcinder

Get ranked product choices with reasons, rejected offers, and sources from your AI app.

  • Top pick
  • Money
  • Intermediate
  • 15 minutes
  • From the README
  • Any agent

Who it is forA shopper with a specific need, such as black wool running shoes under $130, who wants a comparison instead of a single marketplace's picks.

The problemMarketplace shopping agents search one catalog and steer toward that platform's checkout, so the buyer cannot see independent options or why items ranked as they did.

The outcomeA short list of up to three useful choices, each with an explanation of its rank, the other finalists, rejected offers, and facts that could not be verified.

What you need first

  • Node.js 20 or later
  • An MCP-capable AI app
  • Store connections you choose to configure, if you want searches beyond the built-in setup

Steps

  1. Run npx northcinder init to save your configuration and print the MCP entry for your AI app.
  2. Add the printed MCP entry to your MCP-capable AI app and restart it.
  3. Send a shopping brief such as: Find black wool running shoes under $130. Compare price, delivery, fit, and merchant trust. Tell me why the winner ranked first and which options were ruled out.
  4. Read why the top choice ranked first, then check the finalists, rejected offers, and unverified facts.

Prompt for your agent

Use the NorthCinder MCP server to search for <product request> and compare price, delivery, fit, and merchant trust. Return up to three ranked choices with the reason for each rank, the rejected offers, and any facts that could not be verified. Verify that each choice lists the store it came from and that no purchase was started.

Caveat. NorthCinder's checks cover the offers it received from configured stores, not the completeness or truth of any store's catalog, and stores that were unavailable or not configured are reported rather than covered.

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