io.github.digitalmentes7-maker/gobuy-product-trust
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Publisher-provided title
GoBuy Product Trust
Publisher-provided description
Marketplace-evidence trust scores for AI agents: a 0-100 Evidence Score with signal breakdown.
Summary by lookupd
Scores retail product listings and online stores for trust using review and marketplace signals, and ranks products for comparison.
Install
Claude Code, remote (streamable-http)
claude mcp add --transport http gobuy-product-trust https://mcp.gobuy.ai/mcp
Codex, remote (streamable-http)
codex mcp add gobuy-product-trust --url https://mcp.gobuy.ai/mcp
Cursor, remote (streamable-http) → .cursor/mcp.json
{
"mcpServers": {
"gobuy-product-trust": {
"url": "https://mcp.gobuy.ai/mcp"
}
}
}Other clients: docs. Or tell your agent: Set up lookupd for me: read https://lookupd.com/agent.md and follow it.
Tools (5 tools)
Publisher-provided text
check_product_trustReturn 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 gcompare_productsFetch 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 prodanalyze_reviewsAnalyzes up to 100 recent reviews (~30-90 seconds). Bright Data can take longer. Use only when Amazon review-sample analysis is explicitly requested; use `checkcheck_store_scoreRetrieve a previously scored independent store or Shopify storefront by domain: agent-readiness, trust signals, structured data, and review system. Use this firscan_storeScore 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
Details
- Version: 1.0.0
- Transports: streamable-http
- Uptime (7 days): 100%
- Median latency: 625 ms
- First indexed:
- Last seen in registry:
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