Ecommerce Product Research
Research ecommerce products and stores using TikTok and Facebook ads, product data, and store intelligence from PipiAds. Skill: Ecommerce Product Research Owner: fanyanggod Summary: Research ecommerce products and stores using TikTok and Facebook ads, product data, and store intelligence from PipiAds. Tags: latest:1.0.1 Version history: v1.0.1 | 2026-04-02T03:01:49.538Z | user - Updated setup instructions to clarify where to access the dashboard and obtain/manage API keys. - Added references to the official PipiAds and PipiSpy websites
Rank
62
Safety
84
Downloads
2.6k
Updated
Oct 9, 2026
Version
1.0.1
Source
CLAWHUB
About
What it does, and when to use it.
Capability contract not published. No trust telemetry is available yet. 2.6K downloads reported by the source. Last updated 10/9/2026.
Avoid when
- Contract metadata is missing or unavailable for deterministic execution.
Risk flags: missing_or_unavailable_contract, trust_data_unavailable, schema_references_missing
Public facts
Every fact links back to the source it came from.
- Vendor
- Clawhubvendor · observed Oct 9, 2026
- Protocol compatibility
- OpenClawcompatibility · observed Oct 9, 2026
- Adoption signal
- 2.6K downloadsadoption · observed Oct 9, 2026
- Latest release
- 1.0.1release · observed Apr 2, 2026
- Handshake status
- UNKNOWNsecurity
Install and run
Setup complexity: low.
clawhub skill install s176gtyby3x3jz51q780av8wjn83paxt:ecommerce-product-research- Setup complexity is LOW. This package is likely designed for quick installation with minimal external side-effects.
- Final validation: Expose the agent to a mock request payload inside a sandbox and trace the network egress before allowing access to real customer data.
Contract: missing
curl -s "https://www.xpersona.co/api/v1/agents/clawhub-fanyanggod-ecommerce-product-research/snapshot"
Documentation
CLAWHUB
8,638 characters of source documentation, loaded on request.
Extracted files
3 files captured from the source.
SKILL.md
---
name: ecommerce-product-research
description: Research ecommerce products and stores using TikTok and Facebook ads, product data, and store intelligence from PipiAds.
metadata:
openclaw:
requires:
env:
- PIPIADS_API_KEY
bins:
- npm
install:
command: npm
args:
- install
- -g
- "[email protected]"
primaryEnv: PIPIADS_API_KEY
emoji: "📊"
homepage: https://www.pipiads.com
mcpServers:
pipiads:
command: pipiads-mcp-server
env:
PIPIADS_API_KEY: "{{PIPIADS_API_KEY}}"
---
# Ecommerce Product Research
Use this skill to research ecommerce products and stores through TikTok/Facebook ad signals plus product and store intelligence.
## Setup
1. Visit the official website at [https://pipiads.com/](https://pipiads.com/) to view real-time dashboard data and product UI.
2. Visit [https://www.pipispy.com/](https://www.pipispy.com/) to get your API key and manage billing/recharge.
3. Set the environment variable: `PIPIADS_API_KEY`
## When to Use
- Find ecommerce products heavily advertised on TikTok or Facebook
- Compare product detail, pricing, landing pages, and storefront patterns
- Research stores, advertisers, and competitive positioning
- Validate whether a product or niche is active across both platforms
## When NOT to Use
- The user only wants monitoring workflows
- The user only wants natural TikTok content
- The user only wants TikTok Shop-specific analytics
## Core Tools
### Ads & Products
- `search_ads`
- `get_ad_detail`
- `search_products`
- `get_product_detail`
- `search_adlibrary_products`
- `get_adlibrary_product_detail`
### Advertisers & Stores
- `search_advertisers`
- `get_advertiser_detail`
- `search_stores`
- `get_store_detail`
- `get_store_competition`
- `get_store_product_analysis`
- `get_store_region_analysis`
- `get_store_data_analysis`
## Recommended Workflow
1. Start with `search_products` or `search_ads` in the target niche.
2. Inspect winning candidates with product and ad detail tools.
3. Use advertiser and store tools to understand who is selling and how broadly they operate.
4. Summarize pricing, offer pattern, landing-page structure, and competitive density.
## Cost Awareness
Each API call consumes credits from your PipiAds account:
- **List/Search**: 1 credit per result returned
- **Detail**: 1 credit per request (free if queried within 3 days)
Ask for category, price band, region, and platform before running broad ecommerce queries._meta.json
{
"ownerId": "kn7a9wjdkz1h0p6874x2x3ff8183pj65",
"slug": "ecommerce-product-research",
"version": "1.0.1",
"publishedAt": 1775098909538
}skill-card.md
## Description: Research ecommerce products and stores using TikTok and Facebook ads, product data, and store intelligence from PipiAds. This skill is ready for commercial/non-commercial use. ## Publisher: [fanyanggod](https://clawhub.ai/user/fanyanggod) ### License/Terms of Use: MIT-0 ## Use Case: External users and ecommerce researchers use this skill to investigate products, ads, advertisers, and stores across TikTok and Facebook using PipiAds data. It supports comparing pricing, landing pages, storefront patterns, and competitive density before running broad queries. ### Deployment Geography for Use: Global ## Known Risks and Mitigations: Risk: The skill installs a third-party npm MCP server that is external code and not bundled in the artifact for review. Mitigation: Review the npm package before installation, keep the package pinned to the documented version, and install only in environments approved for third-party MCP servers. Risk: The integration requires a PipiAds API key, and broad searches can consume account credits. Mitigation: Use the least-exposed API key available, monitor credit usage, and collect category, price band, region, and platform before broad ecommerce queries. ## Reference(s): - [ClawHub skill page](https://clawhub.ai/fanyanggod/skills/ecommerce-product-research) - [PipiAds](https://www.pipiads.com) - [PipiSpy](https://www.pipispy.com/) ## Skill Output: **Output Type(s):** [Text, Markdown, Shell commands, Configuration, Guidance] **Output Format:** [Markdown guidance with setup commands, MCP tool suggestions, and ecommerce research summaries] **Output Parameters:** [1D] **Other Properties Related to Output:** [May recommend PipiAds MCP tool calls; API calls consume PipiAds account credits.] ## Skill Version(s): 1.0.1 (source: server release metadata, released 2026-04-02) ## Ethical Considerations: Users should evaluate whether this skill is appropriate for their environment, review any generated or modified files before relying on them, and apply their organization's safety, security, and compliance requirements before deployment.
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Machine-readable data
The same record, as JSON, for agents and crawlers.
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]
}Record generated Oct 10, 2026.
