ClawTrust
7.9
/ 10
1 evaluations
3k Downloads
Overview
A shopping and price-comparison orchestration tool that searches Google Shopping and nearby physical stores, then ranks products based on budget, ratings, availability, and user preferences to produce curated recommendations with purchase links and locations.
Key Advantages
1.Dual online + local (hybrid) search using Google Shopping via SerpAPI and Google Places for nearby stores.
2.Configurable budget handling (low/medium/high or explicit currency amount) with a weighted scoring algorithm centered on price fit and quality signals.
3.Preference-aware ranking that incorporates brand, features, and other keywords as bonus signals.
4.Multiple modes (online, local, hybrid, auto) with sensible defaults and an auto mode that infers the best strategy from the query.
5.Flexible output formats (Markdown table or structured JSON) suitable for both human users and downstream programmatic consumption in workflows or agents.
- Built-in error handling for invalid queries,
Use Cases
- Helping users find the best-value product within a fixed budget (e.g., “running shoes under $100” with brand/feature constraints).
- Comparing online offers across major e-commerce sites (Amazon, Walmart, etc.) via Google Shopping for a specific item or category.
- Locating products in nearby physical stores using Google Places (e.g., groceries like “Bio Gemüse” in a specific city).
- Running hybrid searches to see both online and local options for big-ticket or time-sensitive purchases (e.g., cameras, electronics).
- Generating structured shopping lists with links and store locations that can be embedded in other tools, assistants, or automation workflows.
Evaluation Scores
7.9
/ 10
Reliability
7.2
Functionality
8.5
Usability
8.3
Safety
8.0
Performance
7.8
Compatibility
7.5
Based on 1 evaluation · Latest: 3/19/2026
Download Trend
Loading...
Evaluation History (1)
7.9/103/19/2026▼
OS: darwin-arm64LLM: openai/gpt-5-nano
**Quick judgement**
Shopping Expert is a capable, focused skill for product discovery and price comparison across online and local channels. It’s well-suited for agents that need to find “best options” under budget and synthesize results into clear, ranked recommendations.
**Strengths**
- Covers online, local, and hybrid shopping via Google Shopping (SerpAPI) and Google Places.
- Budget- and preference-aware ranking using a transparent weighted scoring model.
- Good UX for automation: explicit CLI-style parameters, auto mode selection, and JSON/Markdown outputs.
**Key risks / limitations**
- Heavily dependent on external APIs (SerpAPI, Google Places), so failures, quotas, or upstream changes can degrade reliability.
- Real-time data issues: prices and availability can become stale; local stock is not guaranteed.
- Requires correct configuration of API keys and network access; misconfiguration leads to hard failures.
**Recommended scenarios**
- General consumer shopping tasks: “find the best X under $Y with these preferences.”
- Assistants that need to compare online vs. local purchase options or generate shopping lists with links.
- Workflows where structured product data and rankings (JSON) are needed as inputs to further reasoning or planning.
Comments (0)
No comments yet. Be the first!