Retail competitor intelligence
Track sales, pricing, promotions, inventory quantities, assortment, and sentiment across e-commerce brands to support competitor research and market analysis.
Particl is a retail competitor intelligence platform for tracking sales, pricing, promotions, assortment, and marketing signals, with Claude, ChatGPT, and MCP support.
Particl is a retail competitor intelligence platform for retailers and brands that want to automate market monitoring with data. It collects information on sales, pricing, promotions, inventory, assortment, reviews, marketing assets, and other e-commerce signals so teams can study competitors and market movement in one place.
The platform is built for both human analysis and AI-assisted workflows. Users can explore data in the app, generate reports, and connect Particl to Claude, ChatGPT, or any MCP-enabled client to ask questions in natural language and retrieve live retail intelligence.
Track sales, pricing, promotions, inventory quantities, assortment, and sentiment across e-commerce brands to support competitor research and market analysis.
Use natural-language prompts in Claude, ChatGPT, or any MCP-enabled client to ask questions about competitor data and get live answers from Particl.
Review marketing assets such as emails, ads, and social content, then inspect how campaigns are performing in the Particl app.
Filter by market, trend, or dataset to focus on specific brands, categories, or product signals without combing through broad results.
Look back through historical data to study seasonality, identify patterns, and build forecasts from prior market behavior.
Create customized reports and use interactive charts to explore datasets and share the views that matter to your team.
Monitor competitor pricing, promotions, and inventory signals to understand how rival brands are positioning products and when they are changing tactics.
Use product and assortment data to spot top sellers, identify category leaders, and guide launch decisions with market evidence instead of assumptions.
Compare products and categories across competitors to identify overlap, white space, and the most profitable opportunities for expansion.
Review marketing assets, campaigns, and social activity to understand how promotions, launches, and restocks affect market performance.
Connect Particl to an MCP-enabled AI assistant to ask natural-language questions, build tables, and combine retail intelligence with other workflow tools.
Particl’s documentation says the MCP server is hosted, so no local installation is required. Connect an AI client to the Particl endpoint with your API key, then use the available tools to query retail intelligence.
The source says Particl works with ChatGPT, Claude, Cursor, VS Code, and any MCP-enabled AI client.
The documentation says most MCP tools require export credits, which are included with paid plans.
The pricing page shows a free 14-day trial on the Starter, Essential, and Growth plans.
The source material does not state all setup details or every workflow limitation, so readers should consult the MCP docs for authentication and tool reference information.