# 京东商品评价

按 SKU 分页获取京东商品评价。

ID: task:jd_product_reviews_v1 · Region: cn · Status: unknown

catalog_version: 5c920c774a55e44d7e8c709143b88a18b8b2afcef91a5d19a8c9ae5d565d9077
updated_at: 2026-10-21T12:06:16.523771+00:00

缓存资料；当前可用状态待核实。

京东

历史数据以数据集发布版本定义覆盖周期；实时读取反映请求时资料，不保证覆盖全部记录。

Docs: https://docs.asklear.cn/capabilities/task%3Ajd_product_reviews_v1

## GET /v1/collections/tasks/jd_product_reviews_v1

legacy · unknown · api_key, oauth

REST 需要客户 API Key；MCP 需要已开放的服务及现有授权；CLI 需要已发布且包含该命令的客户端。



执行遵循现有计价；读取公开说明不扣 Credits。

请求声明 idempotency_key 时，同一次操作复用原键；元数据 GET 只读。

等待态响应提供结果/状态引用。先读取原结果；超时或结果不明时禁止自动重新提交付费执行。401/403/422 应先修正鉴权、权限或输入。

### Input schema / 输入契约

```json
{
  "properties": {
    "task_code": {
      "const": "jd_product_reviews_v1"
    },
    "task_query": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "default": null,
      "description": "Optional task attribution: when provided, write one concise, self-contained task_query in the user's language and reuse that exact value in every call for the task, including discovery, search, approval retry, results, export, and status checks. For MCP calls, when omitted, Asklear records a generic non-user-specific attribution so compatible clients can still call the tool. REST calls may omit it and remain unattributed. It is a task description, not a task identifier. Do not include hidden reasoning, credentials, or direct personal identifiers such as phone numbers, email addresses, identity numbers, or street addresses.",
      "maxLength": 300
    }
  },
  "required": [
    "task_code"
  ],
  "type": "object"
}
```

### Synthetic request / 合成请求

```json
{
  "task_code": "jd_product_reviews_v1"
}
```

### Synthetic response / 合成响应

```json
{
  "examples": [
    {
      "page": 1,
      "sku_id": "100316653558"
    }
  ],
  "input_schema": {
    "additionalProperties": false,
    "properties": {
      "page": {
        "default": 1,
        "maximum": 1000,
        "minimum": 1,
        "type": "integer"
      },
      "sku_id": {
        "maxLength": 256,
        "minLength": 1,
        "type": "string",
        "ui_default": ""
      }
    },
    "required": [
      "sku_id"
    ],
    "type": "object"
  }
}
```

- input_schema (object): 暂无字段说明
- examples (array<object>): 暂无字段说明
## describe_collection_task

legacy · unknown · api_key, oauth

REST 需要客户 API Key；MCP 需要已开放的服务及现有授权；CLI 需要已发布且包含该命令的客户端。



执行遵循现有计价；读取公开说明不扣 Credits。

请求声明 idempotency_key 时，同一次操作复用原键；元数据 GET 只读。

等待态响应提供结果/状态引用。先读取原结果；超时或结果不明时禁止自动重新提交付费执行。401/403/422 应先修正鉴权、权限或输入。

### Input schema / 输入契约

```json
{
  "properties": {
    "task_code": {
      "const": "jd_product_reviews_v1"
    },
    "task_query": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "default": null,
      "description": "Optional task attribution: when provided, write one concise, self-contained task_query in the user's language and reuse that exact value in every call for the task, including discovery, search, approval retry, results, export, and status checks. For MCP calls, when omitted, Asklear records a generic non-user-specific attribution so compatible clients can still call the tool. REST calls may omit it and remain unattributed. It is a task description, not a task identifier. Do not include hidden reasoning, credentials, or direct personal identifiers such as phone numbers, email addresses, identity numbers, or street addresses.",
      "maxLength": 300
    }
  },
  "required": [
    "task_code"
  ],
  "type": "object"
}
```

### Synthetic request / 合成请求

```json
{
  "task_code": "jd_product_reviews_v1"
}
```

### Synthetic response / 合成响应

```json
{
  "examples": [
    {
      "page": 1,
      "sku_id": "100316653558"
    }
  ],
  "input_schema": {
    "additionalProperties": false,
    "properties": {
      "page": {
        "default": 1,
        "maximum": 1000,
        "minimum": 1,
        "type": "integer"
      },
      "sku_id": {
        "maxLength": 256,
        "minLength": 1,
        "type": "string",
        "ui_default": ""
      }
    },
    "required": [
      "sku_id"
    ],
    "type": "object"
  }
}
```

- input_schema (object): 暂无字段说明
- examples (array<object>): 暂无字段说明
## asklear collection describe

legacy · unknown · api_key, oauth

REST 需要客户 API Key；MCP 需要已开放的服务及现有授权；CLI 需要已发布且包含该命令的客户端。



执行遵循现有计价；读取公开说明不扣 Credits。

请求声明 idempotency_key 时，同一次操作复用原键；元数据 GET 只读。

等待态响应提供结果/状态引用。先读取原结果；超时或结果不明时禁止自动重新提交付费执行。401/403/422 应先修正鉴权、权限或输入。

### Input schema / 输入契约

```json
{
  "properties": {
    "task_code": {
      "const": "jd_product_reviews_v1"
    },
    "task_query": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "default": null,
      "description": "Optional task attribution: when provided, write one concise, self-contained task_query in the user's language and reuse that exact value in every call for the task, including discovery, search, approval retry, results, export, and status checks. For MCP calls, when omitted, Asklear records a generic non-user-specific attribution so compatible clients can still call the tool. REST calls may omit it and remain unattributed. It is a task description, not a task identifier. Do not include hidden reasoning, credentials, or direct personal identifiers such as phone numbers, email addresses, identity numbers, or street addresses.",
      "maxLength": 300
    }
  },
  "required": [
    "task_code"
  ],
  "type": "object"
}
```

### Synthetic request / 合成请求

```json
{
  "task_code": "jd_product_reviews_v1"
}
```

### Synthetic response / 合成响应

```json
{
  "examples": [
    {
      "page": 1,
      "sku_id": "100316653558"
    }
  ],
  "input_schema": {
    "additionalProperties": false,
    "properties": {
      "page": {
        "default": 1,
        "maximum": 1000,
        "minimum": 1,
        "type": "integer"
      },
      "sku_id": {
        "maxLength": 256,
        "minLength": 1,
        "type": "string",
        "ui_default": ""
      }
    },
    "required": [
      "sku_id"
    ],
    "type": "object"
  }
}
```

- input_schema (object): 暂无字段说明
- examples (array<object>): 暂无字段说明
## POST /v1/collections/estimate

legacy · unknown · api_key, oauth

REST 需要客户 API Key；MCP 需要已开放的服务及现有授权；CLI 需要已发布且包含该命令的客户端。

Each task runs only the requested operation.
Returned data is bounded and projected into task-specific public fields; missing fields are not inferred.
Each successful request is charged once at the Asklear task price.
Availability depends on the current service release and this account's access.

每个成功任务 14 Credits；启动前先估价。

请求声明 idempotency_key 时，同一次操作复用原键；元数据 GET 只读。

等待态响应提供结果/状态引用。先读取原结果；超时或结果不明时禁止自动重新提交付费执行。401/403/422 应先修正鉴权、权限或输入。

### Input schema / 输入契约

```json
{
  "$defs": {},
  "additionalProperties": false,
  "description": "Outer transport contract; each registered task validates its own input.",
  "properties": {
    "input": {
      "additionalProperties": false,
      "properties": {
        "page": {
          "default": 1,
          "maximum": 1000,
          "minimum": 1,
          "type": "integer"
        },
        "sku_id": {
          "maxLength": 256,
          "minLength": 1,
          "type": "string"
        }
      },
      "required": [
        "sku_id"
      ],
      "type": "object"
    },
    "task_code": {
      "const": "jd_product_reviews_v1"
    }
  },
  "required": [
    "task_code",
    "input"
  ],
  "type": "object"
}
```

### Synthetic request / 合成请求

```json
{
  "input": {
    "page": 1,
    "sku_id": "100316653558"
  },
  "task_code": "jd_product_reviews_v1"
}
```

### Synthetic response / 合成响应

```json
{
  "quote_token": "quote-token-from-estimate",
  "upper_bound_credits": 14
}
```

- quote_token (string): 暂无字段说明
- upper_bound_credits (integer): 暂无字段说明
## estimate_collection

legacy · unknown · api_key, oauth

REST 需要客户 API Key；MCP 需要已开放的服务及现有授权；CLI 需要已发布且包含该命令的客户端。

Each task runs only the requested operation.
Returned data is bounded and projected into task-specific public fields; missing fields are not inferred.
Each successful request is charged once at the Asklear task price.
Availability depends on the current service release and this account's access.

每个成功任务 14 Credits；启动前先估价。

请求声明 idempotency_key 时，同一次操作复用原键；元数据 GET 只读。

等待态响应提供结果/状态引用。先读取原结果；超时或结果不明时禁止自动重新提交付费执行。401/403/422 应先修正鉴权、权限或输入。

### Input schema / 输入契约

```json
{
  "$defs": {},
  "additionalProperties": false,
  "description": "Outer transport contract; each registered task validates its own input.",
  "properties": {
    "input": {
      "additionalProperties": false,
      "properties": {
        "page": {
          "default": 1,
          "maximum": 1000,
          "minimum": 1,
          "type": "integer"
        },
        "sku_id": {
          "maxLength": 256,
          "minLength": 1,
          "type": "string"
        }
      },
      "required": [
        "sku_id"
      ],
      "type": "object"
    },
    "task_code": {
      "const": "jd_product_reviews_v1"
    },
    "task_query": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "default": null,
      "description": "Optional task attribution: when provided, write one concise, self-contained task_query in the user's language and reuse that exact value in every call for the task, including discovery, search, approval retry, results, export, and status checks. For MCP calls, when omitted, Asklear records a generic non-user-specific attribution so compatible clients can still call the tool. REST calls may omit it and remain unattributed. It is a task description, not a task identifier. Do not include hidden reasoning, credentials, or direct personal identifiers such as phone numbers, email addresses, identity numbers, or street addresses.",
      "maxLength": 300
    }
  },
  "required": [
    "task_code",
    "input"
  ],
  "type": "object"
}
```

### Synthetic request / 合成请求

```json
{
  "input": {
    "page": 1,
    "sku_id": "100316653558"
  },
  "task_code": "jd_product_reviews_v1"
}
```

### Synthetic response / 合成响应

```json
{
  "quote_token": "quote-token-from-estimate",
  "upper_bound_credits": 14
}
```

- quote_token (string): 暂无字段说明
- upper_bound_credits (integer): 暂无字段说明
## asklear collection estimate

legacy · unknown · api_key, oauth

REST 需要客户 API Key；MCP 需要已开放的服务及现有授权；CLI 需要已发布且包含该命令的客户端。

Each task runs only the requested operation.
Returned data is bounded and projected into task-specific public fields; missing fields are not inferred.
Each successful request is charged once at the Asklear task price.
Availability depends on the current service release and this account's access.

每个成功任务 14 Credits；启动前先估价。

请求声明 idempotency_key 时，同一次操作复用原键；元数据 GET 只读。

等待态响应提供结果/状态引用。先读取原结果；超时或结果不明时禁止自动重新提交付费执行。401/403/422 应先修正鉴权、权限或输入。

### Input schema / 输入契约

```json
{
  "$defs": {},
  "additionalProperties": false,
  "description": "Outer transport contract; each registered task validates its own input.",
  "properties": {
    "input": {
      "additionalProperties": false,
      "properties": {
        "page": {
          "default": 1,
          "maximum": 1000,
          "minimum": 1,
          "type": "integer"
        },
        "sku_id": {
          "maxLength": 256,
          "minLength": 1,
          "type": "string"
        }
      },
      "required": [
        "sku_id"
      ],
      "type": "object"
    },
    "task_code": {
      "const": "jd_product_reviews_v1"
    },
    "task_query": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "default": null,
      "description": "Optional task attribution: when provided, write one concise, self-contained task_query in the user's language and reuse that exact value in every call for the task, including discovery, search, approval retry, results, export, and status checks. For MCP calls, when omitted, Asklear records a generic non-user-specific attribution so compatible clients can still call the tool. REST calls may omit it and remain unattributed. It is a task description, not a task identifier. Do not include hidden reasoning, credentials, or direct personal identifiers such as phone numbers, email addresses, identity numbers, or street addresses.",
      "maxLength": 300
    }
  },
  "required": [
    "task_code",
    "input"
  ],
  "type": "object"
}
```

### Synthetic request / 合成请求

```json
{
  "input": {
    "page": 1,
    "sku_id": "100316653558"
  },
  "task_code": "jd_product_reviews_v1"
}
```

### Synthetic response / 合成响应

```json
{
  "quote_token": "quote-token-from-estimate",
  "upper_bound_credits": 14
}
```

- quote_token (string): 暂无字段说明
- upper_bound_credits (integer): 暂无字段说明
## POST /v1/collections/jobs

legacy · unknown · api_key, oauth

REST 需要客户 API Key；MCP 需要已开放的服务及现有授权；CLI 需要已发布且包含该命令的客户端。

Each task runs only the requested operation.
Returned data is bounded and projected into task-specific public fields; missing fields are not inferred.
Each successful request is charged once at the Asklear task price.
Availability depends on the current service release and this account's access.

每个成功任务 14 Credits；启动前先估价。

请求声明 idempotency_key 时，同一次操作复用原键；元数据 GET 只读。

等待态响应提供结果/状态引用。先读取原结果；超时或结果不明时禁止自动重新提交付费执行。401/403/422 应先修正鉴权、权限或输入。

### Input schema / 输入契约

```json
{
  "$defs": {},
  "additionalProperties": false,
  "properties": {
    "idempotency_key": {
      "maxLength": 128,
      "minLength": 1,
      "type": "string"
    },
    "input": {
      "additionalProperties": false,
      "properties": {
        "page": {
          "default": 1,
          "maximum": 1000,
          "minimum": 1,
          "type": "integer"
        },
        "sku_id": {
          "maxLength": 256,
          "minLength": 1,
          "type": "string"
        }
      },
      "required": [
        "sku_id"
      ],
      "type": "object"
    },
    "max_credits": {
      "anyOf": [
        {
          "exclusiveMinimum": 0,
          "type": "integer"
        },
        {
          "type": "null"
        }
      ],
      "default": null
    },
    "quote_token": {
      "maxLength": 4096,
      "minLength": 16,
      "type": "string"
    },
    "task_code": {
      "const": "jd_product_reviews_v1"
    }
  },
  "required": [
    "task_code",
    "input",
    "quote_token",
    "idempotency_key"
  ],
  "type": "object"
}
```

### Synthetic request / 合成请求

```json
{
  "idempotency_key": "directory-example",
  "input": {
    "page": 1,
    "sku_id": "100316653558"
  },
  "quote_token": "quote-token-from-estimate",
  "task_code": "jd_product_reviews_v1"
}
```

### Synthetic response / 合成响应

```json
{
  "job_id": "collection-example",
  "status": "queued"
}
```

- job_id (string): 暂无字段说明
- status (string): 暂无字段说明

Follow up: GET /v1/collections/jobs/{job_id}
Read job status and its saved public result.

## start_collection

legacy · unknown · api_key, oauth

REST 需要客户 API Key；MCP 需要已开放的服务及现有授权；CLI 需要已发布且包含该命令的客户端。

Each task runs only the requested operation.
Returned data is bounded and projected into task-specific public fields; missing fields are not inferred.
Each successful request is charged once at the Asklear task price.
Availability depends on the current service release and this account's access.

每个成功任务 14 Credits；启动前先估价。

请求声明 idempotency_key 时，同一次操作复用原键；元数据 GET 只读。

等待态响应提供结果/状态引用。先读取原结果；超时或结果不明时禁止自动重新提交付费执行。401/403/422 应先修正鉴权、权限或输入。

### Input schema / 输入契约

```json
{
  "$defs": {},
  "additionalProperties": false,
  "properties": {
    "idempotency_key": {
      "maxLength": 128,
      "minLength": 1,
      "type": "string"
    },
    "input": {
      "additionalProperties": false,
      "properties": {
        "page": {
          "default": 1,
          "maximum": 1000,
          "minimum": 1,
          "type": "integer"
        },
        "sku_id": {
          "maxLength": 256,
          "minLength": 1,
          "type": "string"
        }
      },
      "required": [
        "sku_id"
      ],
      "type": "object"
    },
    "max_credits": {
      "anyOf": [
        {
          "exclusiveMinimum": 0,
          "type": "integer"
        },
        {
          "type": "null"
        }
      ],
      "default": null
    },
    "quote_token": {
      "maxLength": 4096,
      "minLength": 16,
      "type": "string"
    },
    "task_code": {
      "const": "jd_product_reviews_v1"
    },
    "task_query": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "default": null,
      "description": "Optional task attribution: when provided, write one concise, self-contained task_query in the user's language and reuse that exact value in every call for the task, including discovery, search, approval retry, results, export, and status checks. For MCP calls, when omitted, Asklear records a generic non-user-specific attribution so compatible clients can still call the tool. REST calls may omit it and remain unattributed. It is a task description, not a task identifier. Do not include hidden reasoning, credentials, or direct personal identifiers such as phone numbers, email addresses, identity numbers, or street addresses.",
      "maxLength": 300
    }
  },
  "required": [
    "task_code",
    "input",
    "quote_token",
    "idempotency_key"
  ],
  "type": "object"
}
```

### Synthetic request / 合成请求

```json
{
  "idempotency_key": "directory-example",
  "input": {
    "page": 1,
    "sku_id": "100316653558"
  },
  "quote_token": "quote-token-from-estimate",
  "task_code": "jd_product_reviews_v1"
}
```

### Synthetic response / 合成响应

```json
{
  "job_id": "collection-example",
  "status": "queued"
}
```

- job_id (string): 暂无字段说明
- status (string): 暂无字段说明

Follow up: GET /v1/collections/jobs/{job_id}
Read job status and its saved public result.

## asklear collection start

legacy · unknown · api_key, oauth

REST 需要客户 API Key；MCP 需要已开放的服务及现有授权；CLI 需要已发布且包含该命令的客户端。

Each task runs only the requested operation.
Returned data is bounded and projected into task-specific public fields; missing fields are not inferred.
Each successful request is charged once at the Asklear task price.
Availability depends on the current service release and this account's access.

每个成功任务 14 Credits；启动前先估价。

请求声明 idempotency_key 时，同一次操作复用原键；元数据 GET 只读。

等待态响应提供结果/状态引用。先读取原结果；超时或结果不明时禁止自动重新提交付费执行。401/403/422 应先修正鉴权、权限或输入。

### Input schema / 输入契约

```json
{
  "$defs": {},
  "additionalProperties": false,
  "properties": {
    "idempotency_key": {
      "maxLength": 128,
      "minLength": 1,
      "type": "string"
    },
    "input": {
      "additionalProperties": false,
      "properties": {
        "page": {
          "default": 1,
          "maximum": 1000,
          "minimum": 1,
          "type": "integer"
        },
        "sku_id": {
          "maxLength": 256,
          "minLength": 1,
          "type": "string"
        }
      },
      "required": [
        "sku_id"
      ],
      "type": "object"
    },
    "max_credits": {
      "anyOf": [
        {
          "exclusiveMinimum": 0,
          "type": "integer"
        },
        {
          "type": "null"
        }
      ],
      "default": null
    },
    "quote_token": {
      "maxLength": 4096,
      "minLength": 16,
      "type": "string"
    },
    "task_code": {
      "const": "jd_product_reviews_v1"
    },
    "task_query": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "default": null,
      "description": "Optional task attribution: when provided, write one concise, self-contained task_query in the user's language and reuse that exact value in every call for the task, including discovery, search, approval retry, results, export, and status checks. For MCP calls, when omitted, Asklear records a generic non-user-specific attribution so compatible clients can still call the tool. REST calls may omit it and remain unattributed. It is a task description, not a task identifier. Do not include hidden reasoning, credentials, or direct personal identifiers such as phone numbers, email addresses, identity numbers, or street addresses.",
      "maxLength": 300
    }
  },
  "required": [
    "task_code",
    "input",
    "quote_token",
    "idempotency_key"
  ],
  "type": "object"
}
```

### Synthetic request / 合成请求

```json
{
  "idempotency_key": "directory-example",
  "input": {
    "page": 1,
    "sku_id": "100316653558"
  },
  "quote_token": "quote-token-from-estimate",
  "task_code": "jd_product_reviews_v1"
}
```

### Synthetic response / 合成响应

```json
{
  "job_id": "collection-example",
  "status": "queued"
}
```

- job_id (string): 暂无字段说明
- status (string): 暂无字段说明

Follow up: GET /v1/collections/jobs/{job_id}
Read job status and its saved public result.

## GET /v1/collections/jobs/{job_id}

legacy · unknown · api_key, oauth

REST 需要客户 API Key；MCP 需要已开放的服务及现有授权；CLI 需要已发布且包含该命令的客户端。

Each task runs only the requested operation.
Returned data is bounded and projected into task-specific public fields; missing fields are not inferred.
Each successful request is charged once at the Asklear task price.
Availability depends on the current service release and this account's access.

执行遵循现有计价；读取公开说明不扣 Credits。

请求声明 idempotency_key 时，同一次操作复用原键；元数据 GET 只读。

等待态响应提供结果/状态引用。先读取原结果；超时或结果不明时禁止自动重新提交付费执行。401/403/422 应先修正鉴权、权限或输入。

### Input schema / 输入契约

```json
{
  "properties": {
    "job_id": {
      "type": "string"
    },
    "task_query": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "default": null,
      "description": "Optional task attribution: when provided, write one concise, self-contained task_query in the user's language and reuse that exact value in every call for the task, including discovery, search, approval retry, results, export, and status checks. For MCP calls, when omitted, Asklear records a generic non-user-specific attribution so compatible clients can still call the tool. REST calls may omit it and remain unattributed. It is a task description, not a task identifier. Do not include hidden reasoning, credentials, or direct personal identifiers such as phone numbers, email addresses, identity numbers, or street addresses.",
      "maxLength": 300
    }
  },
  "required": [
    "job_id"
  ],
  "type": "object"
}
```

### Synthetic request / 合成请求

```json
{
  "job_id": "collection-example"
}
```

### Response schema / 响应契约

```json
{
  "$defs": {
    "Schema1": {
      "additionalProperties": false,
      "description": "The limited metadata safe to store and expose with a collection result.",
      "properties": {
        "api_name": {
          "maxLength": 128,
          "minLength": 1,
          "pattern": "^[\\x21-\\x7e]+$",
          "type": "string"
        },
        "credits_charged": {
          "maximum": 1000000,
          "minimum": 0,
          "type": "integer"
        },
        "latency_ms": {
          "maximum": 120000,
          "minimum": 0,
          "type": "integer"
        },
        "request_id": {
          "maxLength": 128,
          "minLength": 1,
          "pattern": "^[\\x21-\\x7e]+$",
          "type": "string"
        }
      },
      "required": [
        "request_id",
        "api_name",
        "latency_ms",
        "credits_charged"
      ],
      "type": "object"
    }
  },
  "additionalProperties": true,
  "properties": {
    "result": {
      "additionalProperties": false,
      "properties": {
        "data": {
          "additionalProperties": true,
          "type": "object"
        },
        "meta": {
          "$ref": "#/$defs/Schema1"
        }
      },
      "required": [
        "data",
        "meta"
      ],
      "type": "object"
    }
  },
  "type": "object"
}
```

### Synthetic response / 合成响应

```json
{
  "result": {
    "data": {},
    "meta": {
      "api_name": "https://www.linkedin.com/in/example",
      "credits_charged": 0,
      "latency_ms": 0,
      "request_id": "https://www.linkedin.com/in/example"
    }
  },
  "status": "succeeded"
}
```

- result.meta.request_id (string): 用于追踪的 Asklear 请求 ID。
- result.meta.api_name (string): 实际执行的采集操作名称。
- result.meta.latency_ms (integer): 采集执行耗时（毫秒）。
- result.meta.credits_charged (integer): 任务完成后 Asklear 用户侧实际结算的 Credits。
- result.data.items (array<object>): 本页返回的评论记录。
- result.data.page (integer): 当前评论页码，从 1 开始。
- result.data.max_page (integer|null): 来源提供时返回评论总页数。
- result.data.next_page (integer|null): 还有下一页评论时返回下一页页码。
- result.data.total (integer|null): 来源提供时返回评论总数。
- result.data.items[].review_id (string|integer|null): 公开评论 ID。
- result.data.items[].item_id (string|integer|null): 如来源提供则返回被评论商品 ID。
- result.data.items[].author_name (string|null): 如来源提供则返回评论者名称。
- result.data.items[].content (string|null): 如来源提供则返回评论正文。
- result.data.items[].rating (scalar|null): 如来源提供则返回评论评分。
- result.data.items[].created_at (string|integer|null): 如来源提供则返回评论时间。
- result.data.items[].verified_purchase (boolean|null): 来源是否标记为已验证购买。
- result.data.items[].like_count (integer|null): 如来源提供则返回评论点赞或有用数。
- result.data.items[].url (string|null): 如来源提供则返回安全的公开评论链接。
- result.data.items[].images (array<string>): 如来源提供则返回安全的评论图片链接。
- result.data.items[].helpful_count (integer|null): 如来源提供则返回评论有用票数。
- result.data.review_summary (object|null): 来源报告的汇总；数字计数与展示文本可能不同。
- result.data.review_summary.average_score (number|null): 来源报告的平均评分。
- result.data.review_summary.comment_count_reported (integer|null): 来源报告的评论数，可能与展示文本冲突，不替代 total。
- result.data.review_summary.comment_count_text (string|null): 来源评论数展示原文。
- result.data.review_summary.after_count (integer|null): 来源报告的追评数。
- result.data.review_summary.after_count_text (string|null): 追评数展示原文。
- result.data.review_summary.general_count (integer|null): 来源报告的中评数。
- result.data.review_summary.general_count_text (string|null): 中评数展示原文。
- result.data.review_summary.general_rate (number|null): 中评率，0至1的比例。
- result.data.review_summary.good_count (integer|null): 来源报告的好评数。
- result.data.review_summary.good_count_text (string|null): 好评数展示原文。
- result.data.review_summary.good_rate (number|null): 好评率，0至1的比例。
- result.data.review_summary.poor_count (integer|null): 来源报告的差评数。
- result.data.review_summary.poor_count_text (string|null): 差评数展示原文。
- result.data.review_summary.poor_rate (number|null): 差评率，0至1的比例。
- result.data.review_summary.show_count_text (string|null): 来源图片评论数展示原文。
- result.data.review_summary.video_count_text (string|null): 来源视频评论数展示原文。
- result.data.review_summary.score_counts (object|null): 来源报告的星级数量。
- result.data.review_summary.score_counts.1 (integer|null): 来源报告的1星数量。
- result.data.review_summary.score_counts.2 (integer|null): 来源报告的2星数量。
- result.data.review_summary.score_counts.3 (integer|null): 来源报告的3星数量。
- result.data.review_summary.score_counts.4 (integer|null): 来源报告的4星数量。
- result.data.review_summary.score_counts.5 (integer|null): 来源报告的5星数量。
## get_collection_job

legacy · unknown · api_key, oauth

REST 需要客户 API Key；MCP 需要已开放的服务及现有授权；CLI 需要已发布且包含该命令的客户端。

Each task runs only the requested operation.
Returned data is bounded and projected into task-specific public fields; missing fields are not inferred.
Each successful request is charged once at the Asklear task price.
Availability depends on the current service release and this account's access.

执行遵循现有计价；读取公开说明不扣 Credits。

请求声明 idempotency_key 时，同一次操作复用原键；元数据 GET 只读。

等待态响应提供结果/状态引用。先读取原结果；超时或结果不明时禁止自动重新提交付费执行。401/403/422 应先修正鉴权、权限或输入。

### Input schema / 输入契约

```json
{
  "properties": {
    "job_id": {
      "type": "string"
    },
    "task_query": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "default": null,
      "description": "Optional task attribution: when provided, write one concise, self-contained task_query in the user's language and reuse that exact value in every call for the task, including discovery, search, approval retry, results, export, and status checks. For MCP calls, when omitted, Asklear records a generic non-user-specific attribution so compatible clients can still call the tool. REST calls may omit it and remain unattributed. It is a task description, not a task identifier. Do not include hidden reasoning, credentials, or direct personal identifiers such as phone numbers, email addresses, identity numbers, or street addresses.",
      "maxLength": 300
    }
  },
  "required": [
    "job_id"
  ],
  "type": "object"
}
```

### Synthetic request / 合成请求

```json
{
  "job_id": "collection-example"
}
```

### Response schema / 响应契约

```json
{
  "$defs": {
    "Schema1": {
      "additionalProperties": false,
      "description": "The limited metadata safe to store and expose with a collection result.",
      "properties": {
        "api_name": {
          "maxLength": 128,
          "minLength": 1,
          "pattern": "^[\\x21-\\x7e]+$",
          "type": "string"
        },
        "credits_charged": {
          "maximum": 1000000,
          "minimum": 0,
          "type": "integer"
        },
        "latency_ms": {
          "maximum": 120000,
          "minimum": 0,
          "type": "integer"
        },
        "request_id": {
          "maxLength": 128,
          "minLength": 1,
          "pattern": "^[\\x21-\\x7e]+$",
          "type": "string"
        }
      },
      "required": [
        "request_id",
        "api_name",
        "latency_ms",
        "credits_charged"
      ],
      "type": "object"
    }
  },
  "additionalProperties": true,
  "properties": {
    "result": {
      "additionalProperties": false,
      "properties": {
        "data": {
          "additionalProperties": true,
          "type": "object"
        },
        "meta": {
          "$ref": "#/$defs/Schema1"
        }
      },
      "required": [
        "data",
        "meta"
      ],
      "type": "object"
    }
  },
  "type": "object"
}
```

### Synthetic response / 合成响应

```json
{
  "result": {
    "data": {},
    "meta": {
      "api_name": "https://www.linkedin.com/in/example",
      "credits_charged": 0,
      "latency_ms": 0,
      "request_id": "https://www.linkedin.com/in/example"
    }
  },
  "status": "succeeded"
}
```

- result.meta.request_id (string): 用于追踪的 Asklear 请求 ID。
- result.meta.api_name (string): 实际执行的采集操作名称。
- result.meta.latency_ms (integer): 采集执行耗时（毫秒）。
- result.meta.credits_charged (integer): 任务完成后 Asklear 用户侧实际结算的 Credits。
- result.data.items (array<object>): 本页返回的评论记录。
- result.data.page (integer): 当前评论页码，从 1 开始。
- result.data.max_page (integer|null): 来源提供时返回评论总页数。
- result.data.next_page (integer|null): 还有下一页评论时返回下一页页码。
- result.data.total (integer|null): 来源提供时返回评论总数。
- result.data.items[].review_id (string|integer|null): 公开评论 ID。
- result.data.items[].item_id (string|integer|null): 如来源提供则返回被评论商品 ID。
- result.data.items[].author_name (string|null): 如来源提供则返回评论者名称。
- result.data.items[].content (string|null): 如来源提供则返回评论正文。
- result.data.items[].rating (scalar|null): 如来源提供则返回评论评分。
- result.data.items[].created_at (string|integer|null): 如来源提供则返回评论时间。
- result.data.items[].verified_purchase (boolean|null): 来源是否标记为已验证购买。
- result.data.items[].like_count (integer|null): 如来源提供则返回评论点赞或有用数。
- result.data.items[].url (string|null): 如来源提供则返回安全的公开评论链接。
- result.data.items[].images (array<string>): 如来源提供则返回安全的评论图片链接。
- result.data.items[].helpful_count (integer|null): 如来源提供则返回评论有用票数。
- result.data.review_summary (object|null): 来源报告的汇总；数字计数与展示文本可能不同。
- result.data.review_summary.average_score (number|null): 来源报告的平均评分。
- result.data.review_summary.comment_count_reported (integer|null): 来源报告的评论数，可能与展示文本冲突，不替代 total。
- result.data.review_summary.comment_count_text (string|null): 来源评论数展示原文。
- result.data.review_summary.after_count (integer|null): 来源报告的追评数。
- result.data.review_summary.after_count_text (string|null): 追评数展示原文。
- result.data.review_summary.general_count (integer|null): 来源报告的中评数。
- result.data.review_summary.general_count_text (string|null): 中评数展示原文。
- result.data.review_summary.general_rate (number|null): 中评率，0至1的比例。
- result.data.review_summary.good_count (integer|null): 来源报告的好评数。
- result.data.review_summary.good_count_text (string|null): 好评数展示原文。
- result.data.review_summary.good_rate (number|null): 好评率，0至1的比例。
- result.data.review_summary.poor_count (integer|null): 来源报告的差评数。
- result.data.review_summary.poor_count_text (string|null): 差评数展示原文。
- result.data.review_summary.poor_rate (number|null): 差评率，0至1的比例。
- result.data.review_summary.show_count_text (string|null): 来源图片评论数展示原文。
- result.data.review_summary.video_count_text (string|null): 来源视频评论数展示原文。
- result.data.review_summary.score_counts (object|null): 来源报告的星级数量。
- result.data.review_summary.score_counts.1 (integer|null): 来源报告的1星数量。
- result.data.review_summary.score_counts.2 (integer|null): 来源报告的2星数量。
- result.data.review_summary.score_counts.3 (integer|null): 来源报告的3星数量。
- result.data.review_summary.score_counts.4 (integer|null): 来源报告的4星数量。
- result.data.review_summary.score_counts.5 (integer|null): 来源报告的5星数量。
## asklear collection get-job

legacy · unknown · api_key, oauth

REST 需要客户 API Key；MCP 需要已开放的服务及现有授权；CLI 需要已发布且包含该命令的客户端。

Each task runs only the requested operation.
Returned data is bounded and projected into task-specific public fields; missing fields are not inferred.
Each successful request is charged once at the Asklear task price.
Availability depends on the current service release and this account's access.

执行遵循现有计价；读取公开说明不扣 Credits。

请求声明 idempotency_key 时，同一次操作复用原键；元数据 GET 只读。

等待态响应提供结果/状态引用。先读取原结果；超时或结果不明时禁止自动重新提交付费执行。401/403/422 应先修正鉴权、权限或输入。

### Input schema / 输入契约

```json
{
  "properties": {
    "job_id": {
      "type": "string"
    },
    "task_query": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "default": null,
      "description": "Optional task attribution: when provided, write one concise, self-contained task_query in the user's language and reuse that exact value in every call for the task, including discovery, search, approval retry, results, export, and status checks. For MCP calls, when omitted, Asklear records a generic non-user-specific attribution so compatible clients can still call the tool. REST calls may omit it and remain unattributed. It is a task description, not a task identifier. Do not include hidden reasoning, credentials, or direct personal identifiers such as phone numbers, email addresses, identity numbers, or street addresses.",
      "maxLength": 300
    }
  },
  "required": [
    "job_id"
  ],
  "type": "object"
}
```

### Synthetic request / 合成请求

```json
{
  "job_id": "collection-example"
}
```

### Response schema / 响应契约

```json
{
  "$defs": {
    "Schema1": {
      "additionalProperties": false,
      "description": "The limited metadata safe to store and expose with a collection result.",
      "properties": {
        "api_name": {
          "maxLength": 128,
          "minLength": 1,
          "pattern": "^[\\x21-\\x7e]+$",
          "type": "string"
        },
        "credits_charged": {
          "maximum": 1000000,
          "minimum": 0,
          "type": "integer"
        },
        "latency_ms": {
          "maximum": 120000,
          "minimum": 0,
          "type": "integer"
        },
        "request_id": {
          "maxLength": 128,
          "minLength": 1,
          "pattern": "^[\\x21-\\x7e]+$",
          "type": "string"
        }
      },
      "required": [
        "request_id",
        "api_name",
        "latency_ms",
        "credits_charged"
      ],
      "type": "object"
    }
  },
  "additionalProperties": true,
  "properties": {
    "result": {
      "additionalProperties": false,
      "properties": {
        "data": {
          "additionalProperties": true,
          "type": "object"
        },
        "meta": {
          "$ref": "#/$defs/Schema1"
        }
      },
      "required": [
        "data",
        "meta"
      ],
      "type": "object"
    }
  },
  "type": "object"
}
```

### Synthetic response / 合成响应

```json
{
  "result": {
    "data": {},
    "meta": {
      "api_name": "https://www.linkedin.com/in/example",
      "credits_charged": 0,
      "latency_ms": 0,
      "request_id": "https://www.linkedin.com/in/example"
    }
  },
  "status": "succeeded"
}
```

- result.meta.request_id (string): 用于追踪的 Asklear 请求 ID。
- result.meta.api_name (string): 实际执行的采集操作名称。
- result.meta.latency_ms (integer): 采集执行耗时（毫秒）。
- result.meta.credits_charged (integer): 任务完成后 Asklear 用户侧实际结算的 Credits。
- result.data.items (array<object>): 本页返回的评论记录。
- result.data.page (integer): 当前评论页码，从 1 开始。
- result.data.max_page (integer|null): 来源提供时返回评论总页数。
- result.data.next_page (integer|null): 还有下一页评论时返回下一页页码。
- result.data.total (integer|null): 来源提供时返回评论总数。
- result.data.items[].review_id (string|integer|null): 公开评论 ID。
- result.data.items[].item_id (string|integer|null): 如来源提供则返回被评论商品 ID。
- result.data.items[].author_name (string|null): 如来源提供则返回评论者名称。
- result.data.items[].content (string|null): 如来源提供则返回评论正文。
- result.data.items[].rating (scalar|null): 如来源提供则返回评论评分。
- result.data.items[].created_at (string|integer|null): 如来源提供则返回评论时间。
- result.data.items[].verified_purchase (boolean|null): 来源是否标记为已验证购买。
- result.data.items[].like_count (integer|null): 如来源提供则返回评论点赞或有用数。
- result.data.items[].url (string|null): 如来源提供则返回安全的公开评论链接。
- result.data.items[].images (array<string>): 如来源提供则返回安全的评论图片链接。
- result.data.items[].helpful_count (integer|null): 如来源提供则返回评论有用票数。
- result.data.review_summary (object|null): 来源报告的汇总；数字计数与展示文本可能不同。
- result.data.review_summary.average_score (number|null): 来源报告的平均评分。
- result.data.review_summary.comment_count_reported (integer|null): 来源报告的评论数，可能与展示文本冲突，不替代 total。
- result.data.review_summary.comment_count_text (string|null): 来源评论数展示原文。
- result.data.review_summary.after_count (integer|null): 来源报告的追评数。
- result.data.review_summary.after_count_text (string|null): 追评数展示原文。
- result.data.review_summary.general_count (integer|null): 来源报告的中评数。
- result.data.review_summary.general_count_text (string|null): 中评数展示原文。
- result.data.review_summary.general_rate (number|null): 中评率，0至1的比例。
- result.data.review_summary.good_count (integer|null): 来源报告的好评数。
- result.data.review_summary.good_count_text (string|null): 好评数展示原文。
- result.data.review_summary.good_rate (number|null): 好评率，0至1的比例。
- result.data.review_summary.poor_count (integer|null): 来源报告的差评数。
- result.data.review_summary.poor_count_text (string|null): 差评数展示原文。
- result.data.review_summary.poor_rate (number|null): 差评率，0至1的比例。
- result.data.review_summary.show_count_text (string|null): 来源图片评论数展示原文。
- result.data.review_summary.video_count_text (string|null): 来源视频评论数展示原文。
- result.data.review_summary.score_counts (object|null): 来源报告的星级数量。
- result.data.review_summary.score_counts.1 (integer|null): 来源报告的1星数量。
- result.data.review_summary.score_counts.2 (integer|null): 来源报告的2星数量。
- result.data.review_summary.score_counts.3 (integer|null): 来源报告的3星数量。
- result.data.review_summary.score_counts.4 (integer|null): 来源报告的4星数量。
- result.data.review_summary.score_counts.5 (integer|null): 来源报告的5星数量。