Ecommerce Product Pro

AI-powered ecommerce product research tool for Amazon FBA, Shopify, and dropshipping. Find winning products, analyze competition, estimate profits, and track...

Security Scan

The skill claims real integrations (Google Trends, Alibaba, social mentions, supplier finder) and shows examples that accept an API key, but the shipped code only simulates data locally and does not actually call external services or declare the API credential — this mismatch is misleading and worth caution.

Purpose & Capability

The name/description promise real ecommerce integrations (Amazon, Google Trends, Alibaba supplier recommendations, social signals). The actual code implements only local, simulated/randomized data and small built-in databases — there are no network calls or API integrations. Examples show passing an apiKey, but the package declares no required env vars. This is a capability/expectation mismatch (useful for prototyping, but not what the description implies).

Instruction Scope

SKILL.md and README describe integrations and example flows that imply fetching real market data and supplier info. The runtime instructions and examples ask for an apiKey parameter. The SKILL.md gives no operational steps that would cause data exfiltration, but it is misleading: the instructions expect external data while the index.js methods generate simulated data locally. The instructions also reference contacting the author for paid services (WeChat/Telegram) — not a security hazard per se, but a trust/reputation consideration.

Install Mechanism

No install spec and package.json has no external dependencies; there is no download-from-URL or extract step. This is low-install-risk — nothing arbitrary will be written at install time beyond normal package files.

Credentials

index.js reads process.env.ECOMMERCE_API_KEY as a fallback for the constructor's apiKey option, and SKILL.md examples include an apiKey parameter, but the skill's registry metadata lists no required environment variables or primary credential. The code does not require a key to run (it falls back to simulated data), so the presence of apiKey in examples is inconsistent and could mislead users into providing credentials unnecessarily.

Persistence & Privilege

The skill does not request always:true and has no OS restriction or config path requirements. It does not modify other skills or system settings. Autonomous invocation is allowed (platform default) but is not combined with other red flags.

What to consider before installing

This package appears to be a local simulator/prototype rather than a full integration: it generates random/simulated product metrics and supplier entries instead of calling Amazon, Google Trends, Alibaba, or social APIs. Before installing or using it for real research, consider: 1) Do you expect real-time market data? If so, this skill does not deliver that — ask the author or review/modify the code to add authorized API calls. 2) The examples show passing an apiKey and the code reads ECOMMERCE_API_KEY, but no credentials are declared in the registry metadata; do not supply sensitive keys unless you understand where they are sent (the current code does not send them anywhere). 3) The README/SKILL.md advertises paid consulting (WeChat/Telegram) — be cautious about off-platform payments and vet the author. 4) If you want honest behavior, request the maintainer to: declare required env vars, document any network endpoints, implement (or clearly label) integrated data sources, and remove misleading claims. Based on the mismatch between promises and implementation, treat this as a prototype/demo rather than a production-grade tool.

AI-powered product research for ecommerce winners.

Find winning products for Amazon FBA, Shopify, and dropshipping. Analyze competition, estimate profits, track trends, and source suppliers.

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💰 付费服务

电商选品咨询 & 定制服务:

服务	价格	交付
精选产品报告	¥800/份	10 个潜力产品 + 分析
竞品深度分析	¥1500/份	完整市场格局 + 机会点
供应链对接	¥2000/次	verified 供应商推荐
月度选品顾问	¥6000/月	每周 5 个新品推荐

成功案例: 帮助 20+ 卖家找到月销 10 万 + 产品

联系: 微信/Telegram 私信，备注"电商选品"

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🎯 What It Solves

Ecommerce sellers struggle with:

• ❌ Finding profitable products is time-consuming
• ❌ Don't know which products will sell
• ❌ Competition analysis is manual and slow
• ❌ Profit calculations are complex
• ❌ Can't find reliable suppliers
• ❌ Missing trending products

Ecommerce Product Pro provides:

• ✅ AI-powered product discovery
• ✅ Competition analysis
• ✅ Profit estimation
• ✅ Trend tracking
• ✅ Supplier recommendations
• ✅ Market opportunity scoring

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✨ Features

🏆 Winning Product Finder

• High-demand, low-competition products
• Trending products (7d, 30d, 90d)
• Seasonal opportunities
• Niche discovery
• Product validation score

📊 Market Analysis

• Market size estimation
• Growth trends
• Seasonality patterns
• Customer demographics
• Price point analysis

🏪 Competition Analysis

• Number of sellers
• Review analysis (avg rating, count)
• Listing quality score
• Pricing strategy
• Market saturation level

💰 Profit Calculator

• Amazon FBA fees
• Shopify transaction fees
• Shipping costs
• Product cost
• Net profit margin
• ROI calculation

📈 Trend Tracking

• Google Trends integration
• Social media mentions
• Sales velocity
• Seasonal patterns
• Emerging niches

🏭 Supplier Finder

• Alibaba supplier recommendations
• Supplier verification
• Price negotiation tips
• MOQ (minimum order quantity)
• Shipping time estimates

📝 Listing Optimizer

• Title optimization
• Bullet points generator
• Description writing
• Keyword suggestions
• A+ content ideas

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📦 Installation

clawhub install ecommerce-product-pro

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🚀 Quick Start

1. Initialize Product Research

const { EcommerceProductPro } = require('ecommerce-product-pro');

const research = new EcommerceProductPro({
  apiKey: 'your-api-key',
  marketplace: 'amazon',  // amazon, shopify, dropshipping
  targetCountry: 'US',
  budget: 5000  // Initial investment budget
});

2. Find Winning Products

const products = await research.findWinningProducts({
  niche: 'home fitness',
  minPrice: 20,
  maxPrice: 100,
  minMargin: 30,  // Minimum 30% margin
  maxCompetition: 'medium',
  count: 20
});

console.log(products);
// [
//   {
//     product: 'Resistance Bands Set',
//     niche: 'home fitness',
//     price: 29.99,
//     monthlySales: 3500,
//     competition: 'low',
//     margin: 45,
//     opportunityScore: 92,
//     trend: 'rising',
//     seasonality: 'year-round'
//   }
// ]

3. Analyze Product

const analysis = await research.analyzeProduct({
  asin: 'B08XYZ123',  // Amazon ASIN
  orUrl: 'https://amazon.com/dp/B08XYZ123'
});

console.log(analysis);
// {
//   product: 'Resistance Bands Set',
//   price: 29.99,
//   monthlyRevenue: 104965,
//   reviews: 2847,
//   avgRating: 4.5,
//   competition: 'medium',
//   marketShare: 'top 10%',
//   fbaFees: 8.50,
//   estimatedProfit: 12.30,
//   margin: 41
// }

4. Calculate Profit

const profit = await research.calculateProfit({
  sellingPrice: 29.99,
  productCost: 8.50,
  shippingCost: 3.20,
  marketplace: 'amazon',
  fbaFulfillment: true,
  dimensions: { length: 10, width: 8, height: 2, weight: 0.5 }
});

console.log(profit);
// {
//   revenue: 29.99,
//   costs: {
//     product: 8.50,
//     shipping: 3.20,
//     fbaFees: 5.80,
//     referral: 4.50,
//     total: 22.00
//   },
//   profit: 7.99,
//   margin: 26.6,
//   roi: 36.3
// }

5. Find Suppliers

const suppliers = await research.findSuppliers({
  product: 'resistance bands set',
  minMOQ: 100,
  maxPrice: 10,
  verified: true
});

console.log(suppliers);
// [
//   {
//     name: 'XYZ Manufacturing',
//     price: 6.50,
//     moq: 200,
//     rating: 4.8,
//     years: 8,
//     verified: true,
//     responseTime: '< 24h'
//   }
// ]

6. Track Trends

const trends = await research.trackTrends({
  niche: 'home fitness',
  period: '90d'
});

console.log(trends);
// Trending products, growth rates, seasonal patterns

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💡 Advanced Usage

Product Validation

const validation = await research.validateProduct({
  asin: 'B08XYZ123',
  criteria: {
    minMargin: 30,
    maxCompetition: 'medium',
    minDemand: 1000
  }
});

// Returns pass/fail with detailed scoring

Niche Analysis

const niche = await research.analyzeNiche({
  niche: 'pet supplies',
  depth: 'comprehensive'
});

// Market size, top products, competition level, opportunities

Competitor Tracking

const tracking = await research.trackCompetitor({
  asins: ['B08XYZ123', 'B09ABC456'],
  metrics: ['price', 'rank', 'reviews']
});

// Daily price/rank/review tracking

Seasonal Opportunities

const seasonal = await research.findSeasonalProducts({
  month: 'December',
  leadTime: 60  // Days before season
});

// Products that sell well in specific seasons

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💰 Pricing

Tier	Price	Features
Basic	$59	Product finder, market analysis, profit calculator
Pro	$119	+ Supplier finder, trend tracking, competitor tracking

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📝 Changelog

v1.0.0 (2026-03-19)

• Initial release
• Winning product finder
• Market analysis
• Profit calculator
• Supplier recommendations
• Trend tracking
• Competition analysis

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📄 License

MIT License

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🙏 Support

• GitHub: https://github.com/openclaw/skills/ecommerce-product-pro
• Discord: OpenClaw Community
• Email: [e-mail]

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Built with ❤️ by OpenClaw Agent - Your Ecommerce Research Assistant