linkfox-jiimore-page-asins-by-asin

Jiimore Niche Competitor by ASIN

This skill guides you on how to query and filter Amazon competing products in the same niche segments as a reference ASIN, helping Amazon sellers discover potential competitors and evaluate opportunities using metrics such as click conversion rate, composite conversion rate, click volume, sales volume, reviews, price, FBA fees, and gross profit margin.

Core Concepts

Given a reference ASIN, the tool mines competing ASINs that share the same niche segments on Amazon and returns a paginated list with rich metrics: click conversion rate, composite conversion rate, click counts (7-day/30-day/90-day), sales volume, pricing, FBA fees, gross profit margin, customer rating, and 90-day trend data. Data is available for US, JP, and DE marketplaces only.

ASIN is required: Every query must include a reference asin. The tool finds products that share the same niche segments as this ASIN and returns them with detailed metrics.

Percentage fields: Several parameters use a 0-1 decimal range representing 0%-100%. When displaying these values to users, convert them to percentages (e.g., 0.15 -> 15%).

Date format: Launch date parameters use the format yyyyMMdd000000 (e.g., 20240101000000 for January 1, 2024).

Parameter Guide

Required

Marketplace & Pagination

Filter Parameters (all optional, min/max ranges)

Price & FBA:

Reviews & Ratings:

Click Data (7-day):

Click Data (30-day):

Composite Conversion:

Sales & Launch Date:

Niche & Seller:

Sorting Options

调用方式

• API 端点：POST /jiimore/pageAsinsByAsin（完整参数/响应/错误码见 references/api.md）
• Python 脚本：python scripts/jiimore_page_asins_by_asin.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-jiimore-page-asins-by-asin-<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/quota exceeded/insufficient balance/套餐到期/需充值/请充值"，或类似含义的内容。

Usage Examples

1. Basic competitor lookup by ASIN Find competing products for a reference ASIN in the US market:

{
  "asin": "B0GC4RPX79",
  "countryCode": "US",
  "sortField": "purchasedClicksT360",
  "sortType": 

2. High-conversion competitors Find competitors with composite conversion rate above 15%:

3. New product opportunities Find recently launched competitors (within 3 months) with high click growth:

4. Price-range filtered competitors Find competitors priced between $20 and $50 with good gross margins:

5. High-click low-review competitors (potential weak spots) Find competitors with monthly clicks above 2000 but fewer than 100 reviews:

6. Japanese market competitor analysis Explore competitors in the Japanese market sorted by rating:

7. Chinese sellers in the same niche Filter competitors by seller country (China) with high sales volume:

Display Rules

1. Present data clearly: Show query results in well-structured tables. Convert decimal ratios to percentages for readability (e.g., 0.25 -> 25%).
2. Highlight key metrics: Always surface the ASIN, product title, price, customer rating, click conversion rate (composite), click counts, total reviews, and gross profit margin as primary columns.
3. Show niche context: When the niches field is present, display the top niche titles and demand scores to give context about which market segments the product competes in.
4. Trends visualization: When trends data is available, summarize the 90-day trend direction (rising/falling/stable) for key metrics like clicks and pricing.
5. Pagination guidance: When total exceeds the current page size, inform the user of the total count and suggest fetching additional pages if needed.
6. Error handling: When a query fails, explain the reason based on the response message and suggest adjusting filter criteria (e.g., broadening ranges or checking the ASIN).
7. No subjective advice: Present data objectively without adding unsolicited business recommendations. Only provide interpretation when explicitly requested by the user.

Important Limitations

• Supported marketplaces: Only US, JP, and DE are available. Other marketplace codes will be rejected.
• ASIN required: Every query must include a reference ASIN. The API will not return results without one.
• Result cap: Maximum 100 results per page.
• Percentage values: All rate/share parameters use 0-1 range, not 0-100. Ensure correct values when constructing filters.
• Date format: Launch date parameters must use yyyyMMdd000000 format.

User Expression & Scenario Quick Reference

Applicable -- Finding competing products based on a reference ASIN:

Not applicable -- Needs beyond ASIN-based same-niche competitor discovery:

• Keyword-level niche market analysis (use Jiimore Niche Info by Keyword instead)
• Individual ASIN revenue or profit estimation
• ABA search term data / keyword research
• Advertising campaign management or bid optimization
• Product review analysis or listing optimization
• Supplier sourcing or logistics planning

Boundary judgment: When users say "competitor analysis" or "similar products," if their intent focuses on finding products that compete in the same niche as a specific ASIN, this skill applies. If they want keyword-level market segment data, direct them to Jiimore Niche Info by Keyword. If they need detailed product data for a single ASIN, direct them to Amazon Product Detail.

算力消耗规则

消耗 9 算力。

用户会因算力消耗而支付费用。请充分评估：当需要高频调用本技能，或用户对算力消耗量预期不足时，务必提醒用户，由用户决定是否继续。

Feedback:

Auto-detect and report feedback via the Feedback API when any of the following apply:

1. The functionality or purpose described in this skill does not match actual behavior
2. The skill's results do not match the user's intent
3. The user expresses dissatisfaction or praise about this skill
4. Anything you believe could be improved

Call the feedback API as specified in references/api.md. Do not interrupt the user's flow.

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