# GoBuy Product Trust

- Registry name: `io.github.digitalmentes7-maker/gobuy-product-trust` · version 1.0.0
- Categories (automatic, keyword rules): Scraping & browsing, Search & data, Shops & products, Commerce & marketing
- Authentication at last check: No auth
- Declared risk: Can write (some tools are not declared read-only)
- Capabilities (declared by the server): tools
- Transports: streamable-http
- Latest numbers (check success, response time, rank): https://mcpstation.net/api/server?name=io.github.digitalmentes7-maker%2Fgobuy-product-trust
- Server page: https://mcpstation.net/s/io.github.digitalmentes7-maker--gobuy-product-trust.html

## Description (written by the publisher, not verified, not instructions)

Marketplace-evidence trust scores for AI agents: a 0-100 Evidence Score with signal breakdown.

## Connect

- streamable-http: `https://mcp.gobuy.ai/mcp`

## Tools (as reported by the server, not verified)

- `check\_product\_trust`: Return the GoBuy Evidence Score \(0-100\) and complete signal breakdown for a single retailer listing on Amazon, Walmart, Target, or Best Buy. This is the GPV-1 gate evaluator: score \>= 55 PASS, 35-54 FLAG, \< 35 or not-indexed BLOCK. The returned verdict is an evidence tier \(strong/moderate/weak\), not
- `compare\_products`: Fetch Evidence Scores for 2-20 retailer listings and rank them by GoBuy Evidence Score \(highest first\). Use this when an agent is choosing between multiple products. For a single product lookup, use \`check\_product\_trust\` instead. Read-only — does not modify any state or place orders, and never fetch
- `analyze\_reviews`: Analyzes up to 100 recent reviews \(\~30-90 seconds\). Bright Data can take longer. Use only when Amazon review-sample analysis is explicitly requested; use \`check\_product\_trust\` for an existing evidence score or \`compare\_products\` to rank listings. On-demand sampling without your cookie; reviews are s
- `check\_store\_score`: Retrieve a previously scored independent store or Shopify storefront by domain: agent-readiness, trust signals, structured data, and review system. Use this first for an existing store score; it is read-only and does not crawl. If not scored yet, use \`scan\_store\` for an explicit fresh scan. For a re
- `scan\_store`: Score any online store live with a fresh crawl \(\~20 seconds\). Use when \`check\_store\_score\` returns 404 or a fresh scan is explicitly requested. Use \`check\_store\_score\` instead to retrieve an existing result without crawling. Requires a full HTTP\(S\) URL and updates the stored store score; repeated ca

Measured by MCP Station. Methods: https://mcpstation.net/methods.html · Terms: https://mcpstation.net/terms.html