An AI-powered Amazon research tool providing 14 selection strategies and risk assessments backed by a 200M+ product database.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install amazon-analyzer-skill
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 amazon-analyzer-skill 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 APIClaw Amazon Data Analysis?
APIClaw is a high-performance data analysis tool designed for the Openclaw Skills ecosystem to empower Amazon sellers and developers. It provides direct access to a massive database of over 200 million products, enabling users to perform complex market discovery, competitor tracking, and risk assessment tasks. The skill helps identify winning products by analyzing sales trends, BSR rankings, and category concentration through a specialized Python-based interface.
By integrating this tool into your workflow, you can move beyond simple data lookups to automated market intelligence. Whether you are a beginner looking for low-competition niches or an established seller optimizing listing bullet points, this addition to your Openclaw Skills library offers technical precision and data-driven insights to navigate the competitive Amazon marketplace effectively.
APIClaw Amazon Data Analysis Use Cases
- Identifying high-growth, low-barrier products for new Amazon sellers.
- Performing real-time ASIN audits to analyze competitor pricing and review sentiment.
- Evaluating market viability and brand concentration within specific Amazon categories.
- Estimating monthly sales and profit margins using BSR-based fallback algorithms.
- Generating optimized listing content based on top-performing competitor features.
How APIClaw Amazon Data Analysis Works
- The agent receives a user request regarding Amazon product data or market opportunities.
- It routes the request to the appropriate command within the apiclaw.py script, such as market, products, or competitors.
- The script communicates with the APIClaw API using a secured API key to fetch raw JSON data from the 200M+ product database.
- Depending on the intent, the skill processes the data in Quick mode for single data points or Full mode for deep analysis.
- For market research, the agent applies a 6-dimension risk assessment and 14 built-in selection filters (like beginner-friendly or fast-movers).
- The processed insights are delivered to the user with a standardized data source block for transparency and accuracy.
APIClaw Amazon Data Analysis Setup
To get started with this skill in your Openclaw Skills environment, follow these steps:
- Obtain your API Key from apiclaw.io/api-keys.
- Configure your credentials by setting an environment variable:
export APICLAW_API_KEY="your_api_key_here"
- Alternatively, create a
config.jsonfile in the skill root directory:
{ "api_key": "your_api_key_here" }
- Verify your installation and API status by running the check command:
python3 scripts/apiclaw.py check
APIClaw Amazon Data Analysis Data Schema & Taxonomy
The skill utilizes three primary data structures to organize Amazon intelligence:
| Data Type | Key Metrics | Source Interface |
|---|---|---|
| Market Metrics | sampleAvgMonthlySales, topSalesRate, sampleNewSkuRate | market |
| Quantitative Data | atLeastMonthlySales, bsrRank, profitMargin, fbaFee | products / competitors |
| Qualitative Data | features, topReviews, ratingBreakdown, variants | realtime/product |
All results are returned in a structured JSON format, where the .data field contains an array of results for easy programmatic iteration.
APIClaw Amazon Data Analysis Advanced Features
- 14 Battle-tested selection modes including high-demand-low-barrier, underserved, and single-variant.
- Intelligent BSR-to-sales estimation fallback (Monthly sales ≈ 300,000 / BSR^0.65) when direct sales data is unavailable.
- Automatic retry logic for HTTP 429 and timeout errors to ensure stable data retrieval within Openclaw Skills.
- Composite report generation that merges market-level aggregate data with real-time ASIN listing details.
- Support for fuzzy, phrase, and exact keyword matching to refine research accuracy.
SKILL.md
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