Claude Code. OpenClaw. Cursor. Copilot. Hermes Agent. You have probably heard that AI agents can automate your seller operations — but which one actually delivers for e-commerce tasks?

The answer is not “which agent is best.” It is “which agent is best for which task.” And the data to decide exists in structured form — if your agent can access it.

The Test: Same E-Commerce Query, Different Agents

We ran the same query across multiple AI agents with identical data access: “Find the top 10 products in the Amazon US Kitchen & Dining category with monthly sales over 500 units, under $30, and fewer than 200 reviews. Rank them by profit potential.”

This is a real seller task. It requires the agent to query category data, filter by multiple criteria, and present a ranked list with justification. Here is what happened.

Agent A (Claude Code with MCP): Completed the query in 8 seconds. Pulled the category report, applied filters, ranked by a composite score of sales velocity ÷ review count × price margin, and returned a clean table with ASINs, prices, reviews, and rationale.