Kompy

Kompy is a powerful and beginner-friendly API designed to give you structured Walmart marketplace data without the hassle of running your own scrapers. Instead of writing and maintaining complex web scraping code that can break when Walmart updates its site, you get a single, reliable API that returns clean, consistent JSON for products, search results, barcode lookups, seller offers, reviews, and full price and stock history. Whether you are a solo developer building a side project, a data analyst tracking market trends, or a business scaling up an ecommerce operation, Kompy provides the data you need in milliseconds. The product is built for both humans and machines. You can use the REST API from any programming language like Python, Node.js, or Go, or you can point your AI agent at the MCP server and let it query Walmart data directly. Getting started is simple with Google sign-in and instant API keys. Kompy uses a credit-based pricing model that scales from a small side project to a full production environment, so you only pay for what you use. The service records the marketplace around the clock, capturing hourly snapshots of prices, stock levels, and buy-box changes for every SKU it tracks, giving you historical data back to day one. This makes Kompy an essential tool for anyone who needs accurate, up-to-date Walmart data without the technical overhead of building and maintaining custom scrapers.

REST API and MCP Server Access

Kompy offers two ways to access its data, giving you flexibility based on your technical stack. You can call every operation as a documented REST endpoint from any language, receiving predictable JSON shapes with small payloads and structured errors. Alternatively, the same operations ship as a first-party MCP server, so AI agents and tools like Claude Code, OpenClaw, Cursor, or any system that speaks MCP or HTTP can use them as callable tools. This dual access means you can integrate Kompy into traditional applications or cutting-edge AI workflows with the same API key and credits.

Historical Price and Stock Data

Kompy records the Walmart marketplace around the clock, capturing hourly snapshots of prices, stock levels, and buy-box changes for every SKU it tracks. This gives you the full Walmart price history, per seller, back to day one. No other Walmart API keeps this level of granular historical data. You can use the history endpoint to analyze price trends, identify the best times to buy or sell, and understand how prices fluctuate over weeks or months. This feature is invaluable for making data-driven decisions in ecommerce, pricing strategy, and competitive analysis.

Comprehensive Product and Search Data

With a single API request, you can retrieve an entire product record including its name, brand, price, currency, stock status, rating, review count, and seller information. The search endpoint lets you query the live catalog with sort and filter options, returning results in milliseconds. You can also perform barcode lookups and access seller offers and customer reviews. All data is returned as clean, consistent JSON, so you can immediately use it in your applications without additional parsing or cleaning.

Credit-Based Pricing That Scales

Kompy uses a simple, transparent credit-based pricing model. Each API call consumes a certain number of credits, and you purchase credit packs that fit your usage level. There are no hidden fees, no forced upgrades, and no dark patterns. You start with free credits to test the service, and you can scale from a hobby project to a full production environment by choosing a plan that matches your needs. The pricing tiers include Hobby, Pro, and Business options, each with a set number of monthly credits and support levels, ensuring you only pay for what you use.

Ecommerce Price Monitoring and Arbitrage

Ecommerce entrepreneurs and resellers can use Kompy to monitor Walmart prices in real time and identify profitable arbitrage opportunities. For example, an AI agent can scan Walmart clearance items using the search endpoint with a sort by price drop, then check the price history to confirm a downward trend. It can then compare those prices against Amazon listings to find products with a 30% or higher ROI. The agent can watch hourly and alert the user when a new profitable flip appears, automating the entire research process and saving hours of manual work.

Competitive Intelligence and Market Research

Businesses can leverage Kompy to track competitor pricing and stock levels on Walmart. By using the product and history endpoints, you can monitor how competitors adjust prices over time, identify seasonal trends, and see which products are frequently out of stock. This data helps you optimize your own pricing strategy, plan inventory purchases, and understand market dynamics. The historical data back to day one allows you to perform deep analysis and spot long-term patterns that would be invisible with only current data.

AI Agent and Automation Workflows

Developers building AI agents or automation systems can integrate Kompy through its MCP server or REST API. For instance, a shopping assistant agent can use the search and product endpoints to find the best deals on Walmart for a user, check stock availability, and even retrieve reviews to make recommendations. An inventory management bot can automatically check stock levels for a list of SKUs and trigger reorder alerts when stock drops below a threshold. Kompy's deterministic schemas and structured errors make it easy to build reliable automated workflows.

Data Analysis and Reporting for Ecommerce Teams

Ecommerce analysts and data teams can use Kompy to build dashboards and reports that track Walmart marketplace performance. You can pull product data, price history, and review information to create visualizations of price trends, stock fluctuations, and seller performance. The clean JSON output integrates seamlessly with data analysis tools like Python pandas, Tableau, or Google Sheets. This enables teams to make data-driven decisions about product sourcing, pricing, and marketing without needing to maintain their own data collection infrastructure.

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

The REST API is a standard HTTP-based interface that you can call from any programming language using tools like curl, Python requests, or Node.js fetch. The MCP server provides the same operations but as callable tools for AI agents and systems that support the MCP protocol, such as Claude Code, OpenClaw, and Cursor. Both use the same API key and credit system, so you can choose the method that best fits your workflow. You can even use both simultaneously for different parts of your application.

How do I get started with Kompy?

Getting started is simple and takes about 14 seconds to first response. Go to the Kompy website and sign in with your Google account. You will instantly receive an API key. You can then start making requests immediately using the free credits provided with your account. There is no forced upgrade or credit card required to begin. Read the documentation to see example requests in curl, Python, Node.js, and Go, and start querying Walmart product data right away.

What kind of historical data does Kompy provide?

Kompy records the Walmart marketplace around the clock, taking hourly snapshots of prices, stock levels, and buy-box changes for every SKU it tracks. This gives you the full price history per seller, back to day one. You can access this data through the history endpoint, which returns a time series of price and stock information. This is unique among Walmart data APIs and is extremely valuable for understanding price trends, seasonal patterns, and seller behavior over time.

Is Kompy affiliated with Walmart?

No, Kompy is not affiliated with or endorsed by Walmart Inc. It is an independent third-party API that provides structured access to publicly available Walmart marketplace data. The service is designed to make it easier for developers and businesses to access this data without building and maintaining their own web scrapers. All data is collected from publicly accessible pages and is provided as a service to users who need reliable, structured Walmart data.

Kompy offers three straightforward pricing tiers designed to scale from individual side projects to large team operations. The Hobby plan at $49.99 per month includes 14,000 credits, API access, MCP server access, and email support. The Pro plan at $149.99 per month is the most popular choice and includes 45,000 credits, API access, MCP server access, and priority support. The Business plan at $499.99 per month offers 180,000 credits, API access, MCP server access, priority support, and custom integrations. Every account starts with free credits so you can test the service before committing to a plan. There are no hidden fees, no forced upgrades, and no dark patterns. You can compare all plans and features on the Kompy website and choose the one that best fits your usage needs.