Kompy

Kompy is the fastest way to get structured Walmart marketplace data without running scrapers or managing brittle infrastructure. It delivers a single, unified API for products, search, barcode lookup, seller offers, reviews, and full price and stock history, all returned as clean, consistent JSON. Built for both humans and machines, Kompy lets you call its REST API from any language, or point your AI agent at its MCP server so it can query Walmart data directly. The platform is designed for speed, reliability, and developer experience. Google sign-in gets you an instant API key, and credit-based pricing scales from a side project to production without friction. Whether you are a solo developer building a price tracker, a data scientist analyzing market trends, or an AI agent hunting for arbitrage opportunities, Kompy gives you the live data you need in milliseconds. It records the marketplace around the clock, capturing hourly snapshots of price, stock, and buy-box changes for every SKU it tracks, with per-seller granularity back to day one. No other Walmart API keeps this depth of historical data. Kompy is the unified ecommerce scraping API that you can build on, and it is already trusted by developers and teams who need reliable, real-time Walmart data.

One API for the Entire Walmart Catalog

Access products, search, barcode lookup, seller offers, reviews, and full price and stock history through a single REST API or MCP server. Every endpoint returns deterministic, predictable JSON shapes with small payloads and structured errors. No SDK required, and every response carries a request_id you can trace.

Full Historical Price and Stock Data

Kompy records the marketplace around the clock, capturing hourly snapshots of price, stock, and buy-box changes for every SKU it tracks. You get per-seller granularity back to day one, enabling deep trend analysis, price drop detection, and historical comparison that no other Walmart API provides.

MCP Server for AI Agents

Plug your AI agent directly into Walmart data using Kompy's first-party MCP server. Agents running on Claude Code, OpenClaw, Cursor, or any MCP-compatible stack get callable tools for product lookup, search, history, and reviews. Same API key, same credits, zero extra configuration.

Instant Onboarding and Credit-Based Pricing

Sign in with Google and get your API key in seconds. Every account starts with free credits, and credit-based pricing scales from side project to production. No forced upgrades, no dark patterns, just the same fast API at every tier. You can go from sign-in to your first real response in about 14 seconds.

Arbitrage and Flipping Opportunities

Scan Walmart clearance and price drops to find products with high ROI for reselling on Amazon or other marketplaces. Use the search endpoint with sort by price drop, then check historical data to confirm the price trend. Kompy can even watch hourly and alert you when a new flip clears your profit bar, like a Samsung 65-inch 4K TV with a $164 gap and 34 percent ROI.

Competitive Price Monitoring

Track competitor prices and stock levels in real time. Set up automated checks on specific SKUs or categories, and use the history endpoint to see how prices have changed over days, weeks, or months. This enables dynamic pricing strategies, inventory planning, and market intelligence for ecommerce businesses.

AI Agent-Driven Market Research

Give your AI agent direct access to Walmart data via MCP. Agents can autonomously search for products, compare prices, analyze reviews, and track historical trends. This is ideal for building automated research tools, price comparison bots, or data aggregation pipelines that require zero manual intervention.

Product and Review Analytics

Pull complete product records and customer reviews for any SKU in the Walmart catalog. Analyze ratings, review counts, and seller information to understand product performance and customer sentiment. This is useful for product research, brand monitoring, and competitive analysis at scale.

What is Kompy and how does it work?

Kompy is a unified API for structured Walmart marketplace data. It provides REST endpoints and an MCP server for products, search, barcode lookup, seller offers, reviews, and full price and stock history. You sign in with Google, get an API key instantly, and start making requests. Data is returned as clean, consistent JSON in milliseconds.

Do I need to run scrapers or maintain infrastructure?

No. Kompy handles all data collection and infrastructure for you. It records the marketplace around the clock, capturing hourly snapshots of price, stock, and buy-box changes. You just call the API or connect your AI agent via MCP. No scrapers, no proxies, no maintenance.

What is the difference between the REST API and the MCP server?

The REST API is a standard HTTP API you can call from any programming language using curl, Python, Node, Go, or any HTTP client. The MCP server exposes the same operations as callable tools for AI agents. Both use the same API key and credits, and both return the same data.

How does pricing work?

Kompy uses credit-based pricing with three plans: Hobby at $49.99 per month for 14,000 credits, Pro at $149.99 per month for 45,000 credits, and Business at $499.99 per month for 180,000 credits. Every account starts with free credits. No hidden fees, no forced upgrades, and you can scale from side project to production seamlessly.

Hobby at $49.99 per month for 14,000 credits. Pro at $149.99 per month for 45,000 credits. Business at $499.99 per month for 180,000 credits. Every account starts with free credits. All plans include API access, MCP server access, and email support. Pro and Business plans include priority support, and Business includes custom integrations. No hidden fees, no dark patterns, and you can upgrade when you are ready.