Kompy

Kompy is the definitive data API for the Walmart marketplace, engineered to empower developers, data analysts, and AI agents with structured, reliable, and real-time commerce data. It eliminates the complexity, fragility, and legal ambiguity of running your own web scrapers by providing a single, unified interface for accessing product details, search results, barcode lookups, seller offers, customer reviews, and comprehensive price and stock history. Whether you are a solo entrepreneur building a side project, a professional building a sophisticated arbitrage bot, or a large team integrating marketplace intelligence into your operations, Kompy delivers clean, consistent JSON responses in milliseconds. The platform is built for both humans and machines: you can call the REST API from any programming language, or point your AI agent at its MCP server to query Walmart data directly as callable tools. With Google sign-in, instant API key generation, and transparent credit-based pricing that scales from a hobbyist experiment to a production-grade system, Kompy transforms the daunting task of e-commerce data extraction into a simple, powerful, and actionable experience. It is not just an API; it is the foundation for making smarter, faster, and more profitable decisions in the competitive world of online retail.

Unified REST and MCP Access

Kompy offers a dual-access paradigm that caters to every workflow. You can interact with it as a standard REST API, making HTTP requests from any language or environment, or you can plug it into your AI agent ecosystem using its first-party MCP server. This server exposes every operation as a callable tool, allowing agents like Claude Code, OpenClaw, or Cursor to query Walmart data directly. The same API key works for both interfaces, ensuring a seamless transition between manual development and autonomous agent orchestration.

Full Product Intelligence

With a single request, Kompy returns a complete product record including its current price, stock availability, seller information, brand, and customer rating. This endpoint eliminates the need for multiple calls to assemble a product profile. The response is structured, deterministic, and fast, typically returning in under 50 milliseconds. This feature is the cornerstone for any application that needs to understand the current state of a product on Walmart, from pricing bots to inventory management dashboards.

Historical Price and Stock Tracking

Kompy records the Walmart marketplace around the clock, capturing hourly snapshots of price and stock changes for every SKU it tracks. This data is maintained per seller, providing granular visibility into market trends that no other Walmart API offers. You can query the full price history for any product back to the day it was first tracked. This feature is invaluable for identifying pricing patterns, timing purchases, and spotting arbitrage opportunities that require deep historical context.

Advanced Search and Filtering

The search endpoint allows you to query the live Walmart catalog with powerful sorting and filtering options. You can search by keyword, sort by price drops, filter by seller, or combine multiple criteria to find exactly the products you need. The results are returned as clean JSON, making it easy to integrate into any application. This feature transforms Kompy from a simple data retrieval tool into a discovery engine, enabling users to uncover hidden deals, clearance items, and market gaps.

Retail Arbitrage and Flipping

Kompy is the ultimate tool for identifying profitable flips between Walmart and other marketplaces like Amazon. By scanning Walmart clearance items using the search endpoint with a price_drop sort, you can instantly find products with significant price gaps. The history endpoint then validates the opportunity by confirming the price trend. Users have reported finding items with 30%+ ROI, such as a Samsung 65" 4K TV with a $164 price gap, allowing them to buy low and sell high with confidence.

AI-Powered Shopping Agents

Developers building shopping assistants or price monitoring agents can integrate Kompy's MCP server to give their AI direct access to Walmart data. An agent can autonomously search for products, check stock, retrieve reviews, and monitor price history without needing to parse HTML or manage proxies. This enables use cases like automated deal alerting, where an agent watches a set of products hourly and notifies the user when a predefined profit threshold is met.

Competitive Market Analysis

Businesses and analysts can use Kompy to track competitor pricing and stock levels on Walmart. By programmatically querying product data and historical trends, teams can build dashboards that show how prices change over time, which sellers dominate the buy box, and how product availability fluctuates. This intelligence supports strategic decisions in pricing, inventory management, and product sourcing.

E-commerce Application Development

Developers building e-commerce tools, price comparison apps, or inventory management systems can use Kompy as a reliable data source. Instead of building and maintaining a fragile web scraper, they can integrate a single API that provides structured data for products, reviews, and sellers. This drastically reduces development time, improves reliability, and ensures the application always has access to the most current Walmart marketplace data.

Kompy offers three transparent monthly plans designed to scale with your needs. Every account starts with free credits for testing, and all plans include API access and MCP server access. The Hobby plan is $49.99 per month for 14,000 credits, perfect for individuals getting started. The Pro plan is $149.99 per month for 45,000 credits, ideal for professionals and small teams needing priority support. The Business plan is $499.99 per month for 180,000 credits, designed for large teams with custom integration needs. You can compare all plans and features on the Kompy website.

How is Kompy different from scraping Walmart myself?

Kompy eliminates all the pain points of web scraping. You do not need to manage proxies, handle CAPTCHAs, parse changing HTML structures, or worry about legal grey areas. Kompy provides a clean, documented, and consistent JSON API that returns data in milliseconds. It also offers features like historical price tracking and MCP server integration that are nearly impossible to achieve with a home-built scraper.

Can I use Kompy with my AI agent or automation tool?

Yes, absolutely. Kompy ships with a first-party MCP server that exposes all operations as callable tools. This means you can integrate it directly with agents like Claude Code, OpenClaw, Cursor, LangChain, OpenAI Agents SDK, or n8n. You can also use the plain HTTP REST API from any language or tool that can make a web request. The same API key works for both methods.

What kind of historical data does Kompy provide?

Kompy records hourly snapshots of the Walmart marketplace for every SKU it tracks. This includes per-seller price and stock data, as well as changes to the buy box. You can query the full history for any product back to the day it was first tracked. This data is available through the history endpoint and is unique to Kompy, as no other Walmart API offers this level of granular historical insight.

How does the credit system and pricing work?

Kompy uses a transparent credit-based pricing model. Every API request consumes a set number of credits, depending on the endpoint. You start with free credits upon sign-up, allowing you to test the API without any upfront payment. As your usage grows, you can choose from monthly plans like Hobby (14,000 credits), Pro (45,000 credits), or Business (180,000 credits). There are no hidden fees, and you can upgrade or downgrade at any time.