GoBuy Product Trust
Description
Marketplace-evidence trust scores for AI agents: a 0-100 Evidence Score with signal breakdown.
What our measurements say
GoBuy Product Trust is a remote MCP server published at mcp.gobuy.ai. It has been probed 8 times since 9/12/2026. It answered in 8 of them (100.0%), a near-uninterrupted record. Median response time is 435 ms, placing it among the faster endpoints. It offers a narrow, focused set of 2 tools. On the protocol side it still runs 2025-11-25 and has not moved to the newer spec.
Agent readability score
Can an LLM agent pick the right tool here — names, descriptions and parameter clarity are assessed.
Agent readability score
Strengths
- Tool names directly reflect their purpose (check_product_trust, compare_products).
- Parameters are explicitly marked as required with clear types (string, array).
- Descriptions distinguish between single-product checks and multi-product comparisons.
Weaknesses
- The 'products' array parameter lacks structure details (e.g., required fields per item).
- No explicit error handling for invalid retailer/product_id inputs.
- The 'not purchase advice' note is redundant but could be integrated into tool constraints.
check_product_trust— No mention of handling missing retailer/product_id inputs.compare_products— Array parameter lacks schema for individual product objects.
Verdict
Event narrative
Risk: low
Advice
Schema compliance
tools/list structure, inputSchema validity, and a functional smoke test — the components of the 0-100 score.
- tools/list schema valid
- inputSchema is valid JSON Schema
- Smoke test not run this round
- Cold-start: cold 84ms → warm 62ms (penalty 22ms)
Tools
Tools the server advertised in the latest measurement — measured, not catalog-claimed.
check_product_trustReturn the indexed 0–100 marketplace-evidence score and complete available signal breakdown for one retailer listing.
retailerstringrequiredproduct_idstringrequired
compare_productsCompare 2–20 retailer listings and rank them by marketplace-evidence score. This is not purchase advice.
productsarrayrequired
Availability history
Event log
Derived by comparing consecutive probes — changes in era, protocol version, build and reachability.
- Added to watch — era: Legacy
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[](https://mcpmetrics.io/servers/io-github-digitalmentes7-maker-gobuy-product-trust)<a href="https://mcpmetrics.io/servers/io-github-digitalmentes7-maker-gobuy-product-trust"><img src="https://mcpmetrics.io/badge/io.github.digitalmentes7-maker/gobuy-product-trust/era.svg" alt="mcpmetrics"></a>You are seeing the last 7 days. Sign up for the full history. Which check failed and why is in the dashboard.
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