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Jungle Scout-销量预估

Jungle Scout ASIN销售估算查询，按日维度返回指定ASIN在一段时间内的每日预估销量与最新已知价格，覆盖美国、英国、德国、日本等10个站点。当用户提到ASIN销量预估、ASIN日销量、销售估算、竞品销量监控、日均销量、销量趋势、产品销量追踪、Jungle Scout销量数据、sales estimates, daily sales, estimated units sold, ASIN sales tracking, competitor sales monitoring, product sales trend, daily unit sales时触发此技能。即使用户未明确提及"Jungle Scout"，只要其需求涉及查看某个亚马逊ASIN在一段时间内的每日销量估算数据，也应触发此技能。 Skill: Jungle Scout-销量预估 Owner: linkfox-ai Summary: Jungle Scout ASIN销售估算查询，按日维度返回指定ASIN在一段时间内的每日预估销量与最新已知价格，覆盖美国、英国、德国、日本等10个站点。当用户提到ASIN销量预估、ASIN日销量、销售估算、竞品销量监控、日均销量、销量趋势、产品销量追踪、Jungle Scout销量数据、sales estimates, daily sales, estimated units sold, ASIN sales tracking, competitor sales monitoring, product sales trend, daily unit sales时触发此技能。即使用户未明确提及"Jungle Scout"，只要其需求涉及查看某个亚马逊ASIN在一段时间内的每日销量估算数据，也应触发此技能。 Tags: late

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Safety

Downloads

1.6k

Updated

Oct 10, 2026

Version

1.0.8

Source

CLAWHUB

About

What it does, and when to use it.

Capability contract not published. No trust telemetry is available yet. 1.6K downloads reported by the source. Last updated 10/10/2026.

Avoid when

Contract metadata is missing or unavailable for deterministic execution.

Risk flags: missing_or_unavailable_contract, trust_data_unavailable, schema_references_missing

Public facts

Every fact links back to the source it came from.

Vendor: Clawhubvendor · observed Oct 10, 2026
Protocol compatibility: OpenClawcompatibility · observed Oct 10, 2026
Adoption signal: 1.6K downloadsadoption · observed Oct 10, 2026
Latest release: 1.0.8release · observed Sep 14, 2026
Handshake status: UNKNOWNsecurity

Install and run

Setup complexity: low.

clawhub skill install s171g8b6m2khwdy9ye8bxj0wx183vd4z:linkfox-junglescout-sales-estimates

Setup complexity is classified as HIGH. You must provision dedicated cloud infrastructure or an isolated VM. Do not run this directly on your local workstation.
Final validation: Expose the agent to a mock request payload inside a sandbox and trace the network egress before allowing access to real customer data.

Contract: missing

curl -s "https://www.xpersona.co/api/v1/agents/clawhub-linkfox-ai-linkfox-junglescout-sales-estimates/snapshot"

Documentation

CLAWHUB

115,137 characters of source documentation, loaded on request.

Extracted files

5 files captured from the source.

SKILL.md

---
name: linkfox-junglescout-sales-estimates
description: Jungle Scout ASIN销售估算查询，按日维度返回指定ASIN在一段时间内的每日预估销量与最新已知价格，覆盖美国、英国、德国、日本等10个站点。当用户提到ASIN销量预估、ASIN日销量、销售估算、竞品销量监控、日均销量、销量趋势、产品销量追踪、Jungle Scout销量数据、sales estimates, daily sales, estimated units sold, ASIN sales tracking, competitor sales monitoring, product sales trend, daily unit sales时触发此技能。即使用户未明确提及"Jungle Scout"，只要其需求涉及查看某个亚马逊ASIN在一段时间内的每日销量估算数据，也应触发此技能。
---

# Jungle Scout — ASIN 销售估算

This skill queries daily sales estimates and last known price for a given Amazon ASIN via the Jungle Scout data source, returning day-level data points over a specified date range across 10 Amazon marketplaces.

## Core Concepts

Jungle Scout ASIN 销售估算工具提供亚马逊各站点单个 ASIN 的**日维度预估销量**及**最近已知价格**。卖家可以通过查询指定时间范围内的销量变化来：

- **监控竞品销量**：了解竞品每日出单量，评估其市场份额
- **验证选品机会**：用实际销量数据验证产品需求是否足够大
- **追踪季节性规律**：观察产品在不同月份的销量波动，判断旺淡季
- **评估定价影响**：结合价格与销量的变化关系，辅助定价决策
- **新品表现跟踪**：追踪新品上架后的销量爬升曲线

**数据粒度**：每条记录代表 **1 天**，包含该日的预估售出件数和最近已知价格（美元）。

## Data Fields

### Output Fields

| Field | API Name | Description | Example |
|-------|----------|-------------|---------|
| ASIN | asin | 查询的 ASIN | B0CXXX1234 |
| 数据标识 | id | 数据点标识 | sales_estimate_B0CXXX1234_20260301 |
| 资源类型 | type | 固定值 | sales_estimate_result |
| 父 ASIN | parentAsin | 父体 ASIN（变体场景） | B0CXXX0000 |
| 是否父体 | isParent | 是否为父体商品 | true / false |
| 是否变体 | isVariant | 是否为变体商品 | true / false |
| 是否独立 | isStandalone | 是否为独立商品（非变体） | true / false |
| 变体列表 | variants | 该父体下的变体 ASIN 数组 | ["B0CX1", "B0CX2"] |
| 每日估算 | dailyEstimates | 每日数据数组 | 见下方 |
| 消耗 Token | costToken | 本次调用消耗的 token 数 | 1 |

### dailyEstimates 数组中每个对象

| Field | API Name | Description | Example |
|-------|----------|-------------|---------|
| 日期 | date | 数据日期（YYYY-MM-DD） | 2026-03-15 |
| 预估日销量 | estimatedUnitsSold | 当日预估售出件数 | 42 |
| 最近已知价格 | lastKnownPrice | 最近已知价格（USD） | 29.99 |

## Supported Marketplaces

10 个亚马逊站点：`us`（美国）、`uk`（英国）、`de`（德国）、`in`（印度）、`ca`（加拿大）、`fr`（法国）、`it`（意大利）、`es`（西班牙）、`mx`（墨西哥）、`jp`（日本）。默认站点为 **us**。当用户未指定站点时，使用 us。

## 调用方式

- **API 端点**：`POST /tool-jungle-scout/sales-estimates/query`（完整参数/响应/错误码见 `references/api.md`）
- **Python 脚本**：`python scripts/junglescout_sales_estimates.py '<JSON 参数>' [--inline]`
- **成本约束**：本工具会消耗算力；同一会话同一参数组合默认只调用一次，脚本带 24h 本地缓存。失败/空结果不得自动换关键词、翻页或改邮编连续试探；需要继续检索时先向用户说明会产生额外消耗。

**输出策略（脚本默认行为）**：
- **始终**将完整响应写入 `<cwd>/linkfox/<YYYY-MM-DD>/<session>/data/linkfox-junglescout-sales-estimates-<timestamp>.json`（`<cwd>` 为脚本执行时的工作目录，在 Claude Code 里即当前项目目录；`<session>` 取自环境变量 `SESSION_ID`，按用户任务自动聚合；**禁止写入 /tmp**，当前目录不可写则报错）
- 响应体 ≤ 8 KB：落盘后把完整 JSON 打印到 stdout
- 响应体 > 8 KB：落盘后 stdout 只输出摘要（顶层字段、常见计数如 `total`/`costToken`、最大列表字段的长度 + 前 3 条样本）
- 加 `--inline` 强制全量打印到 stdout（同样落盘）

**读数据建议**：先看摘要判断是否足够；需要具体字段时优先用 `jq`或`ConvertFrom-Json` 从保存的 json 文件按需抽取，避免整份 JSON 进入上下文。

## 解决认证和算力问题
发生以下异常情况时，采用 references/onboarding.md 引导解决问题：

### 异常情况
- **未配置API Key**：环境变量未配置 `LINKFOX_AGENT_API_KEY`，也未配置 `LINKFOXAGENT_API_KEY`。
- **响应401或402状态码**
- **响应提示算力或余额不足**：消息含"算力余额不足/计费不足/余额不足

_meta.json

{
  "ownerId": "kn7dmc1t4j28hem1twwyav85p182pb1j",
  "slug": "linkfox-junglescout-sales-estimates",
  "version": "1.0.8",
  "publishedAt": 1789363249747
}

references/api.md

# Jungle Scout ASIN 销售估算 API 参考

## 调用规范

- **请求地址**：`${LINKFOX_TOOL_GATEWAY}/tool-jungle-scout/sales-estimates/query`
- **请求方式**：POST，Content-Type: application/json
- **认证方式**：Header `Authorization: <api_key>`，api_key 从环境变量 `LINKFOX_AGENT_API_KEY` 或 `LINKFOXAGENT_API_KEY` 读取（如未配置 按 SKILL.md 的 **## 解决认证和算力问题** 处理）

## 请求参数

POST Body（JSON）：

| 参数 | 类型 | 必填 | 说明 |
|------|------|------|------|
| marketplace | string | 是 | 目标市场代码。可选值：`us`、`uk`、`de`、`in`、`ca`、`fr`、`it`、`es`、`mx`、`jp` |
| asin | string | 是 | 要查询的亚马逊 ASIN |
| startDate | string | 是 | 开始日期（格式：YYYY-MM-DD） |
| endDate | string | 是 | 结束日期（格式：YYYY-MM-DD）；必须早于当前日期 |

### 站点映射

| 站点 | marketplace 值 |
|------|---------------|
| 美国 | us |
| 英国 | uk |
| 德国 | de |
| 印度 | in |
| 加拿大 | ca |
| 法国 | fr |
| 意大利 | it |
| 西班牙 | es |
| 墨西哥 | mx |
| 日本 | jp |

## 响应结构

| 字段 | 类型 | 说明 |
|------|------|------|
| costToken | integer | 消耗 token 数 |
| salesEstimateList | array | 销售估算结果列表 |

### salesEstimateList 数组中每个对象

| 字段 | 类型 | 说明 |
|------|------|------|
| asin | string | 查询的 ASIN |
| id | string | 数据点标识 |
| type | string | 资源类型，固定值 `sales_estimate_result` |
| parentAsin | string | 父体 ASIN（变体场景下返回） |
| isParent | boolean | 是否为父体商品 |
| isVariant | boolean | 是否为变体商品 |
| isStandalone | boolean | 是否为独立商品（非变体） |
| variants | array | 该父体下的变体 ASIN 数组 |
| dailyEstimates | array | 每日估算数据数组 |

### dailyEstimates 数组中每个对象

| 字段 | 类型 | 说明 |
|------|------|------|
| date | string | 数据日期（YYYY-MM-DD） |
| estimatedUnitsSold | integer | 当日预估售出件数 |
| lastKnownPrice | number | 最近已知价格（USD） |

## 错误码

正常情况下，接口的 HTTP 状态码均为 200，业务的成功与否通过响应体中的 errorCode 字段区分（errorCode = 200 表示成功，其他值表示业务错误）。当遇到未授权等情况时，HTTP 状态码为 401，且对应的 errorCode 也是 401。

| errcode | 含义 | 处理建议 |
|---------|------|----------|
| 200 | 成功 | 正常解析 `salesEstimateList` |
| 401 | 认证失败 | HTTP 401 或 authorized error：按 SKILL.md 的 **## 解决认证和算力问题** 处理。|
| 402 | 算力不足 | HTTP 402：按 SKILL.md 的 **## 解决认证和算力问题** 处理。|
| 其他非200值 | 业务异常 | 参考 `errmsg` 字段获取具体错误原因 |

错误响应示例：

```json
{
    "errcode": 401,
    "errmsg": "authorized error"
}
```

## curl 示例

```bash
curl -X POST https://tool-gateway.linkfox.com/tool-jungle-scout/sales-estimates/query \
  -H "Authorization: $LINKFOXAGENT_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"marketplace": "us", "asin": "B0CXXX1234", "startDate": "2026-03-01", "endDate": "2026-03-31"}'
```

## 响应示例

```json
{
  "costToken": 1,
  "salesEstimateList": [
    {
      "asin": "B0CXXX1234",
      "id": "sales_estimate_B0CXXX1234_20260301",
      "type": "sales_estimate_result",
      "parentAsin": "B0CXXX0000",
      "isParent": false,
      "isVariant": true,
      "isStandalone": false,
      "variants": [],
      "dailyEstimates": [
        {
          "date": "2026-03-01",
          "estimatedUnitsSold": 35,
          "lastKnownPrice": 29.99
        },
        {
          "date": "2026-03-02",
          "estimatedUnitsSold":

references/onboarding.md

# 解决认证和算力问题

调用本 skill 时若网关返回 **auth** 或 **billing** 错误，走本 skill 自带的 `scripts/onboarding.py` 完成引导。

**auth 场景**：`errcode=401` 或消息含 `authorized error`/`鉴权失败`/`未授权`/`unauthorized`；或 `LINKFOX_AGENT_API_KEY` 与 `LINKFOXAGENT_API_KEY` 均为空。
1. 若已配置 key → 先让用户重启会话（最常见误判），仍失败让用户重新取 key 或换手机号重注册
2. 未配置 → 询问：自助去 https://agent.linkfox.com/ 取 key，或提供手机号让脚本注册
3. 手机号路径：
   - `python scripts/onboarding.py send-code <phone>` → 展示 JSON 里的 phone/agreements
   - 收到验证码后：`python scripts/onboarding.py login <phone> <code>`
   - 拿到 `api_key` 后把下面三平台配置转发给用户，提示重启会话生效：
     - Windows PowerShell（永久）：`setx LINKFOX_AGENT_API_KEY "<key>"`
     - macOS zsh：`echo 'export LINKFOX_AGENT_API_KEY="<key>"' >> ~/.zshrc && source ~/.zshrc`
     - Linux bash：`echo 'export LINKFOX_AGENT_API_KEY="<key>"' >> ~/.bashrc && source ~/.bashrc`
     - 变量名 `LINKFOX_AGENT_API_KEY`（主推）或 `LINKFOXAGENT_API_KEY`（老规范）任一即可

**billing 场景**：`errcode=402` 或消息含 `算力/余额/quota/insufficient/充值/套餐到期`。
- `python scripts/onboarding.py list-plans` → 有 AskUserQuestion 就弹菜单，否则输出编号清单让用户选
- 校验 `plan_id` ∈ 清单、支付方式 ∈ 该套餐 `available_methods`（通常 `wechat/alipay`）
- `python scripts/onboarding.py order <plan_id> <method>` → 展示优先级 PNG > `pay_url` > `ascii_qr`（标注兜底）
- 已付款可选调 `python scripts/onboarding.py query <order_id>`，不主动轮询

排除 `errcode=403`（无权限，不归入这两类）。所有子命令输出 stdout JSON，`error` 字段已含阶段前缀，透传给用户即可。完整用法：`python scripts/onboarding.py --help`。

skill-card.md

## Description:

Queries daily estimated Amazon ASIN unit sales and latest known price through Jungle Scout data across ten marketplaces for a requested date range.

This skill is ready for commercial/non-commercial use.

## Publisher:

[linkfox-ai](https://clawhub.ai/user/linkfox-ai)

### License/Terms of Use:

MIT-0

## Use Case:

Amazon sellers and ecommerce analysts use this skill to estimate daily sales for a single ASIN, monitor competitor sales trends, evaluate product demand, and summarize day-level sales and price data.

### Deployment Geography for Use:

Global

## Known Risks and Mitigations:

Risk: LinkFox receives ASIN queries and account or authentication data during onboarding.

Mitigation: Install only if this data sharing is acceptable; prefer self-service API-key setup and avoid sharing SMS codes in command lines.

Risk: Quota exhaustion can lead to payment and order requests.

Mitigation: Review plan, price, and payment details before ordering, and proceed only with explicit user consent.

Risk: API keys and query results may be stored locally in environment configuration, cache files, and linkfox session output files.

Mitigation: Avoid shell startup files unless plaintext local storage is acceptable, and treat generated JSON/cache files as sensitive workspace data.

Risk: Automatic feedback behavior may send feedback content to LinkFox.

Mitigation: Review or disable automatic feedback behavior before routine use where user comments or task context may be sensitive.

## Reference(s):

- [ClawHub skill page](https://clawhub.ai/linkfox-ai/skills/linkfox-junglescout-sales-estimates)
- [Jungle Scout ASIN sales estimate API reference](artifact/references/api.md)
- [Authentication and quota onboarding reference](artifact/references/onboarding.md)

## Skill Output:

**Output Type(s):** [text, markdown, JSON, shell commands, configuration guidance]

**Output Format:** [JSON response files and stdout summaries, with optional Markdown charts, tables, and setup commands.]

**Output Parameters:** [1D]

**Other Properties Related to Output:** [Queries one ASIN per call, requires marketplace/start/end date inputs, excludes current or future end dates, consumes 64 compute credits, caches matching requests for 24 hours, and writes full responses under a local linkfox session data directory.]

## Skill Version(s):

1.0.8 (source: server release evidence)

## Ethical Considerations:

Users should evaluate whether this skill is appropriate for their environment, review any generated or modified files before relying on them, and apply their organization's safety, security, and compliance requirements before deployment.

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