io.github.digitalmentes7-maker/gobuy-product-trust

Est-ce que io.github.digitalmentes7-maker/gobuy-product-trust est sûr ?

Au dernier audit MCP Hub, le serveur MCP « io.github.digitalmentes7-maker/gobuy-product-trust » est classé « Non encore testé ». Référencé dans l'annuaire. Seul le pentest comportemental fait foi, et il n'a pas encore été exécuté sur ce serveur. Le verdict est réévalué en continu ; consultez la fiche pour l'état à jour.

Méthode : MCP Hub analyse la description de chaque outil (couche 1) et, pour le verdict fort, exécute le serveur dans une micro-VM isolée avec leurres et réseau bloqué (couche 2). On publie des noms et des compteurs, jamais le contenu brut renvoyé par un outil.

Les 5 outils

• analyze_reviews≈ 402 tokens

  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.

  Paramètres, retour & exemple (3)

  Paramètres

  • retailer · string · requis · amazon | walmart | target | bestbuy
    Marketplace containing the listing: amazon, walmart, target, or bestbuy.
  • product_id · string · requis
    Native retailer product ID, such as an Amazon ASIN (e.g. 'B0BXYCS74H').
  • force_refresh · boolean · optionnel
    Bypass the seven-day cache; may start a new paid review scrape. Leave false to reuse cache or resume a pending job.

  Exemple d'appel

  {"name": "analyze_reviews", "arguments": {"retailer": "amazon", "product_id": "texte"}}

  Exemple de retour

  {"content": [{"type": "text", "text": "…"}]}

• check_product_trust≈ 366 tokens

  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.

  Paramètres, retour & exemple (2)

  Paramètres

  • retailer · string · requis · amazon | walmart | target | bestbuy
    Marketplace containing the listing: amazon, walmart, target, or bestbuy.
  • product_id · string · requis
    Native retailer product ID, such as an Amazon ASIN (e.g. 'B0BXYCS74H').

  Exemple d'appel

  {"name": "check_product_trust", "arguments": {"retailer": "amazon", "product_id": "texte"}}

  Exemple de retour

  {"content": [{"type": "text", "text": "…"}]}

• check_store_score≈ 236 tokens

  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`.

  Paramètres, retour & exemple (1)

  Paramètres

  • domain · string · requis

  Exemple d'appel

  {"name": "check_store_score", "arguments": {"domain": "texte"}}

  Exemple de retour

  {"content": [{"type": "text", "text": "…"}]}

• compare_products≈ 338 tokens

  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.

  Paramètres, retour & exemple (1)

  Paramètres

  • products · array · requis
    Array of 2-20 product references to compare and rank.

  Exemple d'appel

  {"name": "compare_products", "arguments": {"products": []}}

  Exemple de retour

  {"content": [{"type": "text", "text": "…"}]}

• scan_store≈ 220 tokens

  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

  Paramètres, retour & exemple (1)

  Paramètres

  • url · string · requis

  Exemple d'appel

  {"name": "scan_store", "arguments": {"url": "texte"}}

  Exemple de retour

  {"content": [{"type": "text", "text": "…"}]}

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Source

https://mcp.gobuy.ai/mcp