A comprehensive data analysis toolset for exploring Amazon marketplaces, products, sellers, and influencer storefronts at scale.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install keyapi-amazon-ecommerce
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install keyapi-amazon-ecommerce using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Amazon E-commerce Intelligence by KeyAPI?
This skill provides deep Amazon marketplace intelligence through the KeyAPI MCP service, specifically designed for integration into Openclaw Skills environments. It enables developers and researchers to perform automated product discovery, category-level browsing, and competitive pricing analysis across 24 global Amazon regions.
By leveraging a cache-first architecture, this skill minimizes API latency and costs while providing rich data points including product variants, best-seller rankings, and detailed seller profiles. Whether you are conducting sentiment analysis on customer reviews or mapping ASINs to GTINs for cross-platform logistics, this skill offers a robust, unified workflow for e-commerce data extraction.
Amazon E-commerce Intelligence by KeyAPI Use Cases
- Conduct competitive market research by monitoring best sellers, new releases, and trending products.
- Perform deep-dive product audits by retrieving detailed specifications and availability for up to 10 ASINs simultaneously.
- Analyze seller reputation and credibility through profile reviews and storefront catalog research.
- Optimize influencer marketing strategies by auditing storefront posts, creative lists, and product attribution patterns.
- Track promotional intelligence by monitoring active deals, lightning deals, and coupon validation.
How Amazon E-commerce Intelligence by KeyAPI Works
- The user defines a research objective, such as searching for a product category or auditing a specific seller ID.
- The skill selects the most relevant MCP node, such as product_search or seller_profile, to fulfill the request.
- A local cache check is performed within the .keyapi-cache/ directory to see if identical parameters have been queried recently.
- If no cache exists, an authorized request is dispatched to the KeyAPI Amazon MCP server using the provided KEYAPI_TOKEN.
- The system processes the response, applying any requested field projections to reduce the data payload.
- The final data is persisted locally and synthesized into a structured report for the AI agent to interpret.
Amazon E-commerce Intelligence by KeyAPI Setup
To get started with this skill for Openclaw Skills, ensure you have Node.js v18+ installed and a valid API token.
# 1. Install project dependencies
npm install
# 2. Set your environment variable
export KEYAPI_TOKEN=your_free_token_here
# 3. Verify the setup and list available tools
node scripts/run.js --platform amazon --list-tools
Amazon E-commerce Intelligence by KeyAPI Data Schema & Taxonomy
The skill maintains a structured local cache to optimize performance and reduce API consumption. Data is organized by date and tool category.
| Data Category | Data Source | Metadata Captured |
|---|---|---|
| Product Discovery | product_search | Title, ASIN, Price, Rating, Prime Status |
| Market Trends | best_seller | Category Rank, Movement, Wishlist Data |
| Seller Intelligence | seller_profile | Business Name, Response Rate, Seller Rating |
| Influencer Data | influencer_posts | Post Type, Media URL, Product Lists |
| Review Analysis | product_reviews | Star Rating, Verified Status, Review Text |
Amazon E-commerce Intelligence by KeyAPI Advanced Features
- Multi-ASIN Batching: Fetch details or offers for up to 10 products in a single call to maximize efficiency.
- Global Reach: Support for 24 different Amazon marketplaces including US, UK, DE, JP, and more via the country parameter.
- Response Projection: Use the fields parameter to filter specifically for the data points you need, lowering overhead in Openclaw Skills workflows.
- Intelligent Caching: Automated file-based persistence that groups results by date and parameter hash.
- Robust Error Handling: Built-in 3x retry logic for server-side errors and clear validation for 400-series client errors.
SKILL.md
Loading
Related Openclaw Skills
KeyAPI Instagram Content Discovery
A high-performance skill for deep Instagram content exploration, trend analysis, and audience signal discovery.
Requirement Interpreter
An intelligent framework that translates ambiguous user input into structured requirements and standardized delivery checklists.
Skill Validator
A specialized auditing tool designed to test, score, and optimize AI agent skills against the official Anthropic and Openclaw Skills specifications.
Daily Recipe AI Agent Skill
An automated culinary assistant that generates professional, bilingual recipe cards with seasonal recommendations and step-by-step instructions.
Context Memory
A file-based memory persistence system that ensures AI agents retain context, user preferences, and project history across multiple sessions.
Market Research Copilot
A professional-grade market intelligence agent that orchestrates 12 specialized tools to generate comprehensive, data-driven crypto research reports.
METADATA
Featured*
