GoBuy Product Trust
Marketplace-evidence trust scores for AI agents: a 0-100 Evidence Score with signal breakdown.
Should I use this
Quality & Safety
Findings (2)
- HIGH
- MEDIUMin scan_store
Based on automated analysis of tool definitions and protocol compliance.
Context Cost
This is the approximate number of tokens consumed each time the server's tools are loaded into a model's context. Higher counts reduce the attention available for other tasks.
Install
One-Click Install
Add this to your `claude_desktop_config.json` file:
{
"mcpServers": {
"gobuy-product-trust": {
"url": "https://mcp.gobuy.ai/mcp"
}
}
}Remote endpoints
https://mcp.gobuy.ai/mcpstreamable-httpWhat it can do
Tool inventory
Tools (5)
🟢check_product_trust(retailer, product_id)
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 a computed GPV-1 checkout decision. Use this for individual product lookups. To compare and rank multiple products, use `compare_products` instead. Use `analyze_reviews` only for explicitly requested Amazon review-sample analysis; this lookup never fetches reviews. Read-only — does not modify any state or place orders. Scores describe available marketplace records, not product quality or purchase recommendations.
Input Schema
{
"type": "object",
"properties": {
"retailer": {
"type": "string",
"enum": [
"amazon",
"walmart",
"target",
"bestbuy"
],
"description": "Marketplace containing the listing: amazon, walmart, target, or bestbuy."
},
"product_id": {
"type": "string",
"minLength": 1,
"maxLength": 128,
"description": "Native retailer product ID, such as an Amazon ASIN (e.g. 'B0BXYCS74H')."
}
},
"required": [
"retailer",
"product_id"
],
"additionalProperties": false,
"$schema": "http://json-schema.org/draft-07/schema#"
}🟢compare_products(products)
Fetch Evidence Scores for 2-20 retailer listings and rank them by GoBuy Evidence Score (highest first). Use this when an agent is choosing between multiple products. For a single product lookup, use `check_product_trust` instead. Read-only — does not modify any state or place orders, and never fetches reviews. Unindexed products rank last. This is not purchase advice.
Input Schema
{
"type": "object",
"properties": {
"products": {
"type": "array",
"items": {
"type": "object",
"properties": {
"retailer": {
"type": "string",
"enum": [
"amazon",
"walmart",
"target",
"bestbuy"
],
"description": "Marketplace containing the listing: amazon, walmart, target, or bestbuy."
},
"product_id": {
"type": "string",
"minLength": 1,
"maxLength": 128,
"description": "Native retailer product ID, such as an Amazon ASIN (e.g. 'B0BXYCS74H')."
}
},
"required": [
"retailer",
"product_id"
],
"additionalProperties": false
},
"minItems": 2,
"maxItems": 20,
"description": "Array of 2-20 product references to compare and rank."
}
},
"required": [
"products"
],
"additionalProperties": false,
"$schema": "http://json-schema.org/draft-07/schema#"
}🟢analyze_reviews(retailer, product_id, force_refresh)
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 sorted within the returned sample, but the provider does not guarantee the listing's newest 100. May trigger paid Bright Data collection and writes a seven-day analysis cache. force_refresh bypasses that cache and may start another paid scrape. A later explicit call without force_refresh resumes a pending job without a new scrape. Heuristics do not prove authenticity.
Input Schema
{
"type": "object",
"properties": {
"retailer": {
"type": "string",
"enum": [
"amazon",
"walmart",
"target",
"bestbuy"
],
"description": "Marketplace containing the listing: amazon, walmart, target, or bestbuy."
},
"product_id": {
"type": "string",
"minLength": 1,
"maxLength": 128,
"description": "Native retailer product ID, such as an Amazon ASIN (e.g. 'B0BXYCS74H')."
},
"force_refresh": {
"type": "boolean",
"default": false,
"description": "Bypass the seven-day cache; may start a new paid review scrape. Leave false to reuse cache or resume a pending job."
}
},
"required": [
"retailer",
"product_id"
],
"additionalProperties": false,
"$schema": "http://json-schema.org/draft-07/schema#"
}🟢check_store_score(domain)
Retrieve a previously scored independent store or Shopify storefront by domain: agent-readiness, trust signals, structured data, and review system. Use this first for an existing store score; it is read-only and does not crawl. If not scored yet, use `scan_store` for an explicit fresh scan. For a retailer product listing rather than a storefront, use `check_product_trust`.
Input Schema
{
"type": "object",
"properties": {
"domain": {
"type": "string",
"maxLength": 253,
"pattern": "^(?=.{1,253}$)[a-z0-9](?:[a-z0-9-]*[a-z0-9])?(?:\\.[a-z0-9](?:[a-z0-9-]*[a-z0-9])?)+$"
}
},
"required": [
"domain"
],
"additionalProperties": false,
"$schema": "http://json-schema.org/draft-07/schema#"
}🟢scan_store(url)
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 calls can trigger new scans. For marketplace product evidence, use `check_product_trust` instead. Docs: https://docs-gobuy.pages.dev
Input Schema
{
"type": "object",
"properties": {
"url": {
"type": "string",
"maxLength": 2048,
"format": "uri"
}
},
"required": [
"url"
],
"additionalProperties": false,
"$schema": "http://json-schema.org/draft-07/schema#"
}Community
Evidence