A comprehensive toolset for analyzing TikTok and Facebook ad signals, product trends, and competitor store intelligence.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install ecommerce-product-research
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 ecommerce-product-research 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 Ecommerce Product Research?
The Ecommerce Product Research skill empowers AI agents to tap into the massive database of PipiAds, providing real-time insights into winning products and advertiser strategies. By integrating these Openclaw Skills into your workflow, you can automate the discovery of trending items on social media platforms like TikTok and Facebook, evaluate store performance, and understand market saturation through detailed store analytics. It bridges the gap between raw social media ad data and actionable ecommerce business intelligence, allowing developers and entrepreneurs to make data-driven decisions for dropshipping or brand building.
Ecommerce Product Research Use Cases
- Identifying high-performing products currently being scaled on TikTok and Facebook.
- Analyzing competitor storefront patterns, pricing strategies, and landing page layouts.
- Validating the viability of a niche by checking active ad volume across major social platforms.
- Researching specific advertisers to understand their global reach and regional focus.
- Monitoring store performance and regional sales distribution to find untapped markets.
How Ecommerce Product Research Works
- The AI agent connects to the PipiAds MCP server using the provided API key.
- You perform initial discovery using search_products or search_ads tools to identify trending items within a specific niche.
- The skill retrieves deep-dive metrics for specific products, including landing page structures, offer patterns, and pricing bands.
- You leverage store and advertiser analysis tools to evaluate the competitive density and regional popularity of the identified products.
- The agent synthesizes this data to provide a comprehensive report on market viability.
Ecommerce Product Research Setup
To utilize these Openclaw Skills, you must first obtain an API key from pipispy.com. Then, install the MCP server globally using npm:
npm install -g [email protected]
Finally, configure the PIPIADS_API_KEY environment variable in your AI agent's configuration to enable authenticated access to the PipiAds API.
Ecommerce Product Research Data Schema & Taxonomy
The skill processes and organizes data through several specific categories to provide a 360-degree view of the market:
| Category | Data Points Provided |
|---|---|
| Ads & Products | Ad creative details, platform source (TikTok/FB), pricing, and landing page URLs. |
| Store Intelligence | Competition levels, region-based data analysis, and product variety reports. |
| Advertiser Data | Historical performance of specific advertisers and their active campaign lists. |
| Cost Metadata | Credit consumption tracking (typically 1 credit per search result or detail request). |
Ecommerce Product Research Advanced Features
- Integrated store competition analysis to identify saturation levels in specific niches.
- Region-based data analysis for localized ecommerce scaling and audience targeting.
- Multi-platform validation to check if a product is gaining traction on both TikTok and Facebook simultaneously.
- Detailed advertiser profiles that reveal the broader strategy of successful ecommerce players.
- Efficient credit management by prioritizing free cached detail queries (within 3 days).
SKILL.md
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