Kompy is a Walmart data API that delivers live prices, stock levels, seller information, and full price history for the entire Walmart catalog, accessible via REST API or MCP server. It returns clean JSON and is designed for developers, automation engineers, and ecommerce sellers.
What is Kompy?
Kompy is a data API purpose-built for programmatic access to Walmart's online product catalog. It takes product IDs or search queries as input and returns structured JSON with current price, stock status, seller name, rating, and historical data. It operates over standard HTTP (REST) or the Model Context Protocol (MCP) for AI agent integration. Kompy is developed and maintained by an independent team (the website shows no specific company name but the domain is kompy.io).
Key Features
- kompy.product — Retrieve a full product record including price, stock, seller, rating, and reviews count for any Walmart SKU.
- kompy.search — Query the live Walmart catalog with sort and filters (e.g., clearance items sorted by price drop).
- kompy.history — Get per-seller price and stock history for any SKU over custom time ranges (e.g., 30 days).
- kompy.reviews — Fetch customer reviews and ratings for any product.
- MCP server integration — Plug directly into AI agents (Claude Code, OpenClaw, Cursor) using the same API key and credits.
- REST API — Standard HTTP endpoints with JSON responses, including product and history endpoints.
Who is it for?
- Ecommerce sellers who want to identify profitable cross-marketplace flips (e.g., Walmart clearance items resold on Amazon).
- Data analysts needing historical price data for research or pricing strategy.
- AI agent developers building automated retail monitoring bots that trigger alerts or actions based on margin thresholds.
What can you do with Kompy?
- Flip clearance items: Scan Walmart clearance for products with a 30%+ ROI against Amazon prices, as demonstrated in the page example (Samsung 65" TV at $447.99 sold for $612 on Amazon).
- Monitor price history: Track price changes over time (e.g., Black Friday drop from $389 to $447.99 today) to time purchases or sales.
- Build MCP-based agents: Connect Kompy to Claude Code or other MCP-compatible tools to automate recurring searches and alerts (e.g., "ping me when a new flip clears the 30% bar").
How does it work?
- Sign up at kompy.io to get an API key (free credits included).
- Use the REST API directly with curl, Python, or Node.js, or configure the MCP server by adding
claude mcp add kompy with your key.
- Call endpoints like
kompy.search with parameters (e.g., q="clearance", sort=price_drop) to retrieve data in under 50ms.
- Optionally set up automated monitoring by having your agent poll the API and notify you when conditions are met.
Pricing
Kompy offers three paid tiers: Hobby ($49.99/month, 14,000 credits), Pro ($149.99/month, 45,000 credits), and Business ($499.99/month, 180,000 credits). All accounts start with free credits and provide the same API performance regardless of tier. Compared features and additional custom integrations are available on the pricing page.
