You'd reach for this when your AI agent needs to verify trust scores for x402 services before interacting with them. It exposes operations to check trust scores, fidelity ratings, and flag status through the ScoutScore system. Think of it as a reputation layer for AI-to-AI interactions: before your agent calls an external x402 service, it queries ScoutScore to see if that service has a good track record or has been flagged for issues. The source doesn't detail specific API methods, but the core use case is clear: automated trust verification to help agents make safer decisions about which services to rely on.
Public tool metadata for what this MCP can expose to an agent.
brand_lookupLook up brand data from the Optimly AI Brand Directory. Search by slug (exact match), name (fuzzy), or category. Returns brand name, archetype, BAI score/tier, category, sentiment, AI readiness, and more. Unauthenticated callers get a slim response with gated fields; authentic...3 paramsLook up brand data from the Optimly AI Brand Directory. Search by slug (exact match), name (fuzzy), or category. Returns brand name, archetype, BAI score/tier, category, sentiment, AI readiness, and more. Unauthenticated callers get a slim response with gated fields; authentic...
namestringslugstringcategorystringcategory_browseBrowse the Optimly AI Brand Directory taxonomy. Use action='list' to see all 40+ categories with brand counts, or action='detail' with a slug to explore a specific category and its top brands. Free tier returns category overview with top 5 brands; authenticate for complete bra...2 paramsBrowse the Optimly AI Brand Directory taxonomy. Use action='list' to see all 40+ categories with brand counts, or action='detail' with a slug to explore a specific category and its top brands. Free tier returns category overview with top 5 brands; authenticate for complete bra...
slugstringactionstringlist · detaildiscovery_intentTell Optimly Scout what your user is researching — which brands they're comparing, what problem they're solving, what category they're exploring. Use action='start' to get the structured questionnaire, then action='submit' with answers to get matched brands and categories from...8 paramsTell Optimly Scout what your user is researching — which brands they're comparing, what problem they're solving, what category they're exploring. Use action='start' to get the structured questionnaire, then action='submit' with answers to get matched brands and categories from...
actionstringstart · submituse_casestringagent_contextstringbuyer_personastringproblem_spacestringcategory_soughtstringbrands_mentionedarraycomparison_criteriaarray