Trust scores for marketplace product listings based on evidence signals
Checks product listings across retailers and returns a 0-100 trust score with signal breakdown. Compare multiple listings to rank them by marketplace evidence. Helps evaluate seller credibility and product authenticity.
Try asking Muse: "Compare this product across Amazon and eBay to see which listing has better trust signals before I buy."
Source: Found in the official MCP Registry (io.github.digitalmentes7-maker/gobuy-product-trust) · First listed September 25, 2026
Each bar is one check, every 15 minutes. Green means it answered. Last checked 2 h ago.
What Muse can see: It does not ask you to sign in, so it cannot see your accounts. It only sees what Muse sends it from your request.
Before it acts: Read what Muse plans to do before you approve it, and remove the app from Muse when you stop using it.
musedirectory.ai is not part of Meta. More about how Muse handles your information
Not in Muse's Connectors list yet, but Muse can still use it. Copy the request below and paste it into Muse. Muse asks before it shares anything with the app's site. Meta does not review apps used this way, so only use ones you trust. We tested this in the Muse app on September 24, 2026: Muse used an app's link directly this way and returned a live answer.
https://mcp.gobuy.ai/mcpNot in Muse's Connectors list yet. Muse can still use it: its page gives you a request to paste into Muse.
Response time at the last check: 1023ms. Worked in 100% of checks over 30 days.
Screened, no issues found
Screening looks for known threats and hidden instructions at the time of the check, and runs again weekly and whenever the tool list changes. It cannot see the server's code, so only connect what you need and review what Muse asks to do. How screening works.
check_product_trustReturn the indexed 0–100 marketplace-evidence score and complete available signal breakdown for one retailer listing.compare_productsCompare 2–20 retailer listings and rank them by marketplace-evidence score. This is not purchase advice.check_store_scoreGet the GoBuy Score for an independent store or Shopify storefront — what AI shopping agents see when they visit: agent-readiness, trust signals, structured data, review system.scan_storeScore any online store live with a fresh crawl (~20 seconds). Use when check_store_score returns 404.https://mcp.gobuy.ai/mcpNot in Muse's Connectors list yet, but Muse can still use it. Paste this into Muse: "Use GoBuy Product Trust to help me. It is a free service with an MCP server at https://mcp.gobuy.ai/mcp. It does not need an API key. Ask me before you share anything with it." Muse asks before it shares anything with the app's site. Meta does not review apps used this way, so only use ones you trust. We tested this in the Muse app on September 24, 2026: Muse used an app's link directly this way and returned a live answer.
At the last check (September 28, 2026, 07:30 UTC) the endpoint was working, answering in 1023ms. Over the last 7 days it answered 100% of health checks. It is checked every 15 minutes.
It was screened on September 25, 2026 with the result "screened, no issues found". Screening checks the domain against threat feeds and reads the tools for hidden instructions and requests for passwords or card numbers. It cannot see the server's code, so grant only the access you need.
It exposes 4 tools, including check_product_trust, compare_products, check_store_score, scan_store. For example, you could ask Muse: "Compare this product across Amazon and eBay to see which listing has better trust signals before I buy."
This listing was added from public sources (Found in the official MCP Registry (io.github.digitalmentes7-maker/gobuy-product-trust)). If you build GoBuy Product Trust, claim it to correct the details and get your badge.
Paste this on your site or README. It always shows the latest check.
<a href="https://musedirectory.ai/connector/gobuy-product-trust"><img src="https://musedirectory.ai/badge/gobuy-product-trust.svg" alt="GoBuy Product Trust on musedirectory.ai" width="236" height="40"></a>