{
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  "resource": {
    "id": "RES_01A2B1480B3E",
    "resource_type": "mcp_server",
    "canonical_url": "https://registry.modelcontextprotocol.io/v0.1/servers/Asked%20Thrice/versions/1.1.0",
    "name": "Asked Thrice",
    "summary_en": "Measure whether AI assistants actually recommend a brand, from measured answers.",
    "summary_zh": "通过向主流AI助手提出真实买家问题，测量品牌在AI推荐中的可见性。",
    "description_en": "Asked Thrice measures whether AI assistants actually recommend a brand by asking real buyer questions to OpenAI, Anthropic, and Gemini. It reports which providers answered and whether the brand won. Use it to audit brand visibility in AI recommendations. Free, no signup, but limited to one measurement per domain every 30 days.",
    "description_zh": "Asked Thrice 通过向 OpenAI、Anthropic 和 Gemini 提出真实买家问题，测量 AI 助手是否实际推荐某个品牌。它会报告哪些提供商做出了回答以及品牌是否胜出。用于审计品牌在 AI 推荐中的可见性。免费，无需注册，但每个域名每 30 天仅限一次测量。",
    "provider_name": "com.askedthrice",
    "homepage_url": "https://askedthrice.com/",
    "endpoint_url": "https://mcp.askedthrice.com/mcp",
    "source_url": "https://github.com/nahuelsoria/llmaudit-mcp",
    "icon_url": null,
    "cover_image_url": null,
    "capabilities": [
      "brand.visibility.measure"
    ],
    "categories": [
      "search-research"
    ],
    "industries": [
      "commerce"
    ],
    "protocols": [
      "mcp"
    ],
    "auth": {
      "type": "unknown"
    },
    "pricing": {
      "model": "unknown"
    },
    "input_schema": {},
    "output_schema": {},
    "metadata": {
      "content_language": "en",
      "translation_status": "luna-reviewed",
      "official_registry": {
        "version": "1.1.0",
        "packages": [],
        "remotes": []
      },
      "review_gate": {
        "passed": true,
        "reasons": [],
        "policy_version": "review-gate-v1",
        "evaluated_at": "2026-09-04T04:32:03.829Z"
      },
      "catalog_profile": {
        "version": "catalog-profile-v1",
        "primary_category": "search-research",
        "integrations": [
          "GitHub"
        ],
        "use_cases": {
          "en": [
            "Measure brand visibility in AI assistant recommendations",
            "Audit AI answer providers for brand mentions"
          ],
          "zh": [
            "测量品牌在 AI 助手推荐中的可见性",
            "审计 AI 回答提供商对品牌的提及情况"
          ]
        },
        "categories": [
          "search-research"
        ],
        "industries": [
          "commerce"
        ],
        "copy": {
          "source_language": "en",
          "summary_zh_state": "present",
          "description_zh_state": "present",
          "description_en_state": "present"
        }
      }
    },
    "latest_version": "1.1.0",
    "status": "listed",
    "health_status": "healthy",
    "source_kind": "imported",
    "source_agent": "registry.modelcontextprotocol.io",
    "trust": {
      "signal": "none",
      "reason": null,
      "signals": {
        "yellow": 0,
        "red": 0
      }
    },
    "review_summary": {
      "method_version": "capability-evidence-v3",
      "capability_definition": "strong",
      "contract_completeness": "strong",
      "access_friction": "low",
      "operational_transparency": "strong",
      "evidence_strength": "protocol_inspected",
      "use_readiness": "guided_use",
      "reviewed_at": "2026-09-04T04:32:04.968Z"
    },
    "experience_count": 0,
    "verified_experience_count": 0,
    "usage_count": 0,
    "success_rate": null,
    "first_seen_at": "2026-09-03T14:00:39.168Z",
    "last_seen_at": "2026-09-04T04:32:04.101Z",
    "published_at": "2026-09-03T14:00:39.168Z",
    "created_at": "2026-09-03T14:00:39.168Z",
    "updated_at": "2026-09-04T04:32:04.968Z",
    "api_url": "https://aiworkshub.io/api/v1/resources/RES_01A2B1480B3E",
    "reviews_url": "https://aiworkshub.io/api/v1/resources/RES_01A2B1480B3E/reviews",
    "public_url": "https://aiworkshub.io/resources/RES_01A2B1480B3E",
    "distribution": {
      "canonical_identity": "https://registry.modelcontextprotocol.io/v0.1/servers/Asked%20Thrice/versions/1.1.0",
      "syndicatable": true,
      "origins": [
        {
          "registry_url": "https://registry.modelcontextprotocol.io/",
          "upstream_resource_id": "Asked Thrice@1.1.0",
          "upstream_record_url": "https://registry.modelcontextprotocol.io/v0.1/servers/Asked%20Thrice/versions/1.1.0",
          "relation": "syndicated",
          "metadata": {
            "source": "official-mcp-registry"
          },
          "first_seen_at": "2026-09-03T14:00:39.168Z",
          "last_seen_at": "2026-09-04T04:32:04.101Z"
        }
      ]
    },
    "tools": [
      {
        "name": "get_visibility_check",
        "title_en": "Get visibility check",
        "title_zh": "获取可见性检查",
        "description_en": "Collect the result of a measurement started with start_visibility_check. Returns status running while the providers are still answering, so poll every 20 to 30 seconds. When ready it reports a verdict, how many of the buyer questions the brand won, which competitors were named instead, and which providers actually answered.",
        "description_zh": "收集通过 start_visibility_check 启动的测量结果。当提供商仍在回答时返回状态 running，因此每 20 到 30 秒轮询一次。就绪后，它会报告判定结果、品牌赢得的买家问题数量、被提及的竞争对手以及实际回答的提供商。",
        "input_schema": {
          "type": "object",
          "properties": {
            "runId": {
              "$schema": "https://json-schema.org/draft/2020-12/schema",
              "type": "string",
              "description": "From start_visibility_check"
            }
          },
          "required": [
            "runId"
          ]
        },
        "output_schema": {},
        "unit_kind": "mcp_tool",
        "effect": "read",
        "open_world": true,
        "idempotency": "idempotent",
        "confirmation": "explicit policy",
        "evidence_ids": [
          "protocol-tools"
        ],
        "runtime_auth": {},
        "pricing": {},
        "metadata": {}
      },
      {
        "name": "start_visibility_check",
        "title_en": "Start visibility check",
        "title_zh": "启动可见性检查",
        "description_en": "Measure whether a brand shows up when buyers ask AI assistants for a recommendation. Asks real buyer questions to OpenAI, Anthropic and Gemini and reports what they answered, not what they claim they would answer. Free, no signup, one measurement per domain every 30 days. Returns a runId: call get_visibility_check with it after about a minute. If the domain was already measured this month the response says quota_reached and includes when it ran.",
        "description_zh": "测量当买家向 AI 助手寻求推荐时品牌是否出现。向 OpenAI、Anthropic 和 Gemini 提出真实买家问题，并报告它们的实际回答，而非声称的回答。免费，无需注册，每个域名每 30 天一次测量。返回 runId：约一分钟后使用它调用 get_visibility_check。如果该域名本月已被测量，响应将显示 quota_reached 并包含运行时间。",
        "input_schema": {
          "type": "object",
          "properties": {
            "brand": {
              "$schema": "https://json-schema.org/draft/2020-12/schema",
              "type": "string",
              "minLength": 2,
              "maxLength": 80,
              "description": "Brand name as customers write it"
            },
            "website": {
              "$schema": "https://json-schema.org/draft/2020-12/schema",
              "type": "string",
              "maxLength": 160,
              "description": "Domain, like yourbrand.com"
            },
            "category": {
              "$schema": "https://json-schema.org/draft/2020-12/schema",
              "type": "string",
              "minLength": 2,
              "maxLength": 120,
              "description": "What the business sells, in plain words"
            },
            "competitors": {
              "$schema": "https://json-schema.org/draft/2020-12/schema",
              "description": "Up to 5 real competitors, comma separated",
              "type": "string",
              "maxLength": 220
            },
            "location": {
              "$schema": "https://json-schema.org/draft/2020-12/schema",
              "description": "Where the business competes, like 'Cordoba, Argentina'",
              "type": "string",
              "maxLength": 80
            },
            "language": {
              "$schema": "https://json-schema.org/draft/2020-12/schema",
              "description": "Language the buyer questions are asked in",
              "type": "string",
              "enum": [
                "en",
                "es"
              ]
            }
          },
          "required": [
            "brand",
            "website",
            "category"
          ]
        },
        "output_schema": {},
        "unit_kind": "mcp_tool",
        "effect": "external_action",
        "open_world": true,
        "idempotency": "unknown",
        "confirmation": "explicit policy",
        "evidence_ids": [
          "protocol-tools"
        ],
        "runtime_auth": {},
        "pricing": {},
        "metadata": {}
      }
    ],
    "review_profile": {
      "schema_version": "aiworkshub.resource-review/0.2",
      "method_version": "capability-evidence-v3",
      "review_state": {
        "identity": "verified",
        "source": "verified",
        "connectivity": "verified",
        "contract": "strong",
        "safe_use": "untested",
        "real_use": "unobserved"
      },
      "assessment": {
        "capability_definition": "strong",
        "contract_completeness": "strong",
        "access_friction": "low",
        "operational_transparency": "strong",
        "evidence_strength": "protocol_inspected",
        "use_readiness": "guided_use"
      },
      "profile": {
        "capabilities": [
          {
            "id": "brand.visibility.measure",
            "weight": 100,
            "confidence": 90,
            "evidence_ids": [
              "source-record",
              "protocol-tools"
            ]
          }
        ],
        "domains": [
          {
            "id": "commerce",
            "weight": 80,
            "confidence": 70,
            "evidence_ids": [
              "source-record"
            ]
          }
        ],
        "workflow_roles": [
          "analyze",
          "retrieve"
        ]
      },
      "catalog_profile": {
        "version": "catalog-profile-v1",
        "primary_category": "search-research",
        "integrations": [
          "GitHub"
        ],
        "use_cases": {
          "en": [
            "Measure brand visibility in AI assistant recommendations",
            "Audit AI answer providers for brand mentions"
          ],
          "zh": [
            "测量品牌在 AI 助手推荐中的可见性",
            "审计 AI 回答提供商对品牌的提及情况"
          ]
        }
      },
      "capability_units": [
        {
          "id": "tool:get_visibility_check",
          "kind": "mcp_tool",
          "capability_id": "brand.visibility.measure",
          "effect": "read",
          "open_world": true,
          "idempotency": "idempotent",
          "confirmation": "explicit policy",
          "input_contract": "typed",
          "output_contract": "typed_envelope_dynamic_result",
          "accepts": [
            "runId"
          ],
          "produces": [
            "visibility check result"
          ],
          "runtime_auth": {},
          "pricing": {},
          "evidence_ids": [
            "protocol-tools"
          ],
          "metadata": {}
        },
        {
          "id": "tool:start_visibility_check",
          "kind": "mcp_tool",
          "capability_id": "brand.visibility.measure",
          "effect": "external_action",
          "open_world": true,
          "idempotency": "unknown",
          "confirmation": "explicit policy",
          "input_contract": "typed",
          "output_contract": "typed_envelope_dynamic_result",
          "accepts": [
            "brand",
            "website",
            "category",
            "competitors",
            "location",
            "language"
          ],
          "produces": [
            "runId",
            "quota_reached"
          ],
          "runtime_auth": {},
          "pricing": {},
          "evidence_ids": [
            "protocol-tools"
          ],
          "metadata": {}
        }
      ],
      "access": {},
      "operational_flags": [],
      "trust": {
        "signal": "none",
        "evidence_ids": [],
        "reason": null
      },
      "fit": {
        "good_for": [
          "Auditing brand visibility in AI recommendations",
          "Measuring AI assistant recommendations for a brand"
        ],
        "not_for": [
          "High-frequency measurements",
          "Measuring brand visibility in non-AI contexts"
        ]
      },
      "evidence": [
        {
          "id": "source-record",
          "type": "registry_record",
          "source": "https://github.com/nahuelsoria/llmaudit-mcp",
          "observation": "MCP source record for Asked Thrice; version 1.1.0.",
          "observed_at": null,
          "payload": {}
        },
        {
          "id": "protocol-tools",
          "type": "protocol_observation",
          "source": "https://mcp.askedthrice.com/mcp#tools/list",
          "observation": "2 tools were returned by MCP discovery; 2 were retained for review.",
          "observed_at": "2026-09-04T04:31:56.756Z",
          "payload": {}
        }
      ],
      "unknowns": [
        "Exact pricing model",
        "Authentication requirements",
        "Data retention policies"
      ],
      "id": "REV_D23391D19D14",
      "resource_id": "RES_01A2B1480B3E",
      "evaluator_type": "platform_ai",
      "provider": "deepseek",
      "model": "deepseek-v4-flash",
      "review_scope": "protocol-inspected-mcp",
      "created_at": "2026-09-04T04:32:04.968Z"
    }
  }
}