Neonjelly

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AI-powered Shopify competitor research and store tracking platform Neonjelly is an AI-powered Shopify competitor analysis and store-tracking platform delivered through MCP integrations for Cursor, Claude, ChatGPT, VS Code, Windsurf, and other AI clients. It provides access to data from approximately 1.37 million Shopify stores, including modeled traffic and revenue, product catalogs, prices, new products, store changes, competitor Signals, product-idea saturation, store lists, and contact information. Users can query the platform in plain English to research competitors, monitor store activity, analyze pricing, discover products, and build filtered lists of Shopify merchants. Paid plans add Signals for monitoring competitor ads, daily units, inventory, and related activity.

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Key Features AI

Core Features
Shopify store search across approximately 1.37 million stores
Competitor traffic, modeled revenue, catalog, price, and product-change analysis
Competitor Signals for ads, units, inventory, and store activity on paid plans
Product-idea research with seller counts and saturation verdicts
Filtered store lists by country, niche, email availability, and Instagram presence
AI integrations through MCP for Cursor, Claude, ChatGPT, VS Code, and Windsurf
Playground and catalog API with 59 available tools
Advantages
Supports plain-English research through popular AI coding and assistant tools
Provides broad coverage of approximately 1.37 million Shopify stores
Combines competitor research, product discovery, pricing, and store-list workflows
Offers a 14-day trial with 100 lookups per day and no account or card required
Includes a cached playground for testing calls without using trial quota
Paid plans provide competitor Signals and higher daily request limits
缺点:Traffic and revenue figures are modeled rather than directly reported
缺点:Competitor Signals are unavailable on the free trial and require a paid plan
缺点:Signal monitoring may depend on whether a store is already supported or accepted by EcomScout
缺点:The trial is limited to one per device and AI client
缺点:Using the full MCP workflow may require familiarity with supported AI clients or API setup
缺点:Pricing and monitoring data may not represent real-time or fully verified business performance

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