sellersprite-product-research（卖家精灵产品研究）

SellerSprite Product Research

Input a keyword or ASIN, AI automatically calls the SellerSprite API to fetch market data and outputs a structured product research report.

Prerequisites

Set your SellerSprite API Key (get one at open.sellersprite.com):

export SELLERSPRITE_SECRET_KEY="your-secret-key"

Ensure openclaw CLI is installed (used for AI analysis):

which openclaw

Quick Start

# Basic product research (keyword)
bash ~/.claude/skills/sellersprite-product-research/selection.sh --keyword "wireless earbuds"

# Specify marketplace (default: US)
bash ~/.claude/skills/sellersprite-product-research/selection.sh --keyword "yoga mat" --marketplace UK

# Use a specific AI model
bash ~/.claude/skills/sellersprite-product-research/selection.sh --keyword "phone case" --model claude
bash ~/.claude/skills/sellersprite-product-research/selection.sh --keyword "phone case" --model gemini
bash ~/.claude/skills/sellersprite-product-research/selection.sh --keyword "phone case" --model gpt-5
bash ~/.claude/skills/sellersprite-product-research/selection.sh --keyword "phone case" --model grok

# Use full model ID
bash ~/.claude/skills/sellersprite-product-research/selection.sh --keyword "yoga mat" --model anthropic/claude-opus-4-6

# Analyze a competitor by ASIN
bash ~/.claude/skills/sellersprite-product-research/selection.sh --asin B08N5WRWNW --marketplace US

# Save report to file
bash ~/.claude/skills/sellersprite-product-research/selection.sh --keyword "LED strip" --output report.md

Supported Models

Uses openclaw for AI inference. Pass --model with a shorthand alias or full model ID:

Any full model ID from openclaw models list --all is also accepted.

Sample Output

╔══════════════════════════════════════════════════════════════╗
║       SellerSprite Product Research Report                  ║
║  Keyword: wireless earbuds  |  Market: US  |  2026-03-09   ║
╚══════════════════════════════════════════════════════════════╝

📊 Market Overview
──────────────────────────────────────
  Products          1,284
  Avg Monthly Units 456/mo
  Avg Price         $28.50
  Avg Ratings       3,210
  Blue Ocean Index  ████░░░░░░░░░  3.2 / 10

🔴 Risk Signals
══════════════════════════════════════════════
1. High Competition — TOP10 monthly sales concentration 78%
2. Brand Barrier — Anker/JBL hold 35% market share
...

🟢 Opportunity Windows
══════════════════════════════════════════════
1. [Price Gap] $15-$20 range has few competitors but strong search volume
2. [New Product Bonus] New listings grew 42% in last 90 days
...

🎯 Recommended Entry Strategy
══════════════════════════════════════════════
1. Target $15-18 price range, differentiate on sport/waterproof features...

📌 Top Reference Products
──────────────────────────────────────────────
B0XXXXXXXX   2,340/mo   $19.9   4.3★   FBA  ⭐ Best Seller
...

How It Works

① Input keyword / ASIN / category
      ↓
② Call SellerSprite API (product research + keyword research)
      ↓
③ Parse market data (sales, price, competition, trends)
      ↓
④ Claude AI deep analysis (Blue Ocean scoring + strategy)
      ↓
⑤ Output structured product research report

Scripts

Marketplace Codes

Notes

• API rate limit: 40 requests/min, max 100 items per request
• Max 2,000 products per query
• Each analysis uses approx 3,000–8,000 tokens ($0.02–$0.05)
• Recommend querying data from the last 1–3 months for freshness