Kompy

Kompy is a unified ecommerce data API that gives you structured Walmart marketplace data without the headache of running and maintaining your own scrapers. Instead of wrestling with broken HTML parsers, captchas, and rate limits, you get clean, consistent JSON for everything: products, search results, barcode lookups, seller offers, customer reviews, and full price and stock history. It is built for both humans and machines, so you can call the REST API from any programming language, or point your AI agent at the MCP server and let it query Walmart data directly. The platform is designed for developers, data analysts, ecommerce sellers, and AI enthusiasts who need reliable, real-time marketplace intelligence. Whether you are building a price comparison tool, a reselling bot, or a data pipeline for market research, Kompy handles the heavy lifting. The onboarding is fast: sign in with Google, get an instant API key, and start making requests within seconds. Pricing is credit-based and scales from a side project to full production, with plans starting cheap. Kompy is not affiliated with Walmart, but it provides the most comprehensive and developer-friendly access to Walmart's catalog available today.

REST API and MCP Server

You get two ways to access the same powerful data. Use the documented REST API endpoints from any language like Python, Node.js, or Go for traditional integration. Or, plug your AI agent into the MCP server, and it can query Walmart data directly as callable tools. This dual approach means you can build anything from a simple script to a complex agentic workflow using the same API key and credit system.

Full Product and Seller Data

Every request returns a complete product record including price, stock status, seller name, rating, and review count. You are not limited to just the buy box. The API surfaces per-seller offers, so you can see who is selling what and at what price. This granularity is essential for competitive analysis, inventory sourcing, and understanding the full marketplace landscape.

Historical Price and Stock Tracking

Kompy records the marketplace around the clock, taking hourly snapshots of price, stock, and buy-box changes for every SKU it tracks. You get the full Walmart price history, per seller, back to day one. This is a unique feature not available in other Walmart APIs. Use the history endpoint to analyze price trends, identify seasonal patterns, or find the best time to buy and sell.

Clean, Predictable JSON Responses

Every API response follows a deterministic schema with small payloads and structured errors. There are no surprises. Each response includes a request ID for tracing and latency in milliseconds. This makes integration straightforward and debugging simple. You get exactly the data you need, formatted consistently, so you can focus on building your application instead of parsing messy output.

Flipping Products for Profit

Resellers can scan Walmart clearance items and instantly check if they can be flipped on Amazon for a 30% or higher return on investment. With the search and history endpoints, you can filter by price drops, analyze historical price trends, and identify profitable gaps. The API can even watch hourly and alert you when a new flip clears your profit bar, automating the entire sourcing process.

Building Price Comparison Tools

Developers can create real-time price comparison websites or browser extensions that pull live Walmart prices, stock levels, and seller information. The clean JSON output makes it easy to display data alongside other marketplaces. With historical data, you can also show price trends to help users decide when to buy, adding significant value to your application.

Market Research and Competitive Analysis

Businesses can use Kompy to monitor competitor pricing and inventory on Walmart at scale. Track how sellers adjust prices over time, identify popular products in specific categories, and understand market dynamics. The per-seller granularity allows you to analyze individual seller behavior, which is invaluable for strategic planning and pricing optimization.

Powering AI Agents and Automation

AI agents built with frameworks like Claude Code, OpenClaw, Cursor, LangChain, or the OpenAI Agents SDK can use the MCP server to autonomously query Walmart data. An agent can search for products, check stock, analyze price history, and make decisions based on real-time marketplace conditions. This enables advanced automation for inventory management, deal hunting, and supply chain monitoring.

How do I get started with Kompy?

Getting started is quick and easy. Go to the Kompy website and sign in with your Google account. You will receive an instant API key. Every account starts with free credits so you can begin making requests immediately without any forced upgrade. You can then use the REST API from any language or connect your AI agent via the MCP server using the same key.

What data can I access through the API?

You can access a wide range of structured Walmart marketplace data. This includes full product records with name, brand, price, currency, stock status, rating, and review count. You can also perform search queries with sorting and filters, look up products by barcode, get per-seller offers, retrieve customer reviews, and access full price and stock history per seller back to day one.

How does the pricing and credit system work?

Kompy uses a credit-based pricing model that scales from side projects to production. You can choose from plans like Hobby, Pro, and Business, each offering a certain number of credits per month. Credits are consumed by API requests. There are no hidden fees, and you can upgrade your plan when you are ready. All plans include API access and MCP server access.

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

Absolutely. Kompy is built for both humans and machines. It provides a first-party MCP server that works with agents like Claude Code, OpenClaw, Cursor, and any tool that speaks the MCP protocol. You can also use the plain HTTP REST API with any language or framework like LangChain, OpenAI Agents SDK, or n8n. The same API key and credits work for both methods.

Kompy offers three straightforward pricing plans to fit different needs and scales. The Hobby plan is $49.99 per month and includes 14,000 credits, API access, MCP server access, and email support. The Pro plan, which is the most popular, costs $149.99 per month and provides 45,000 credits, priority support, and all features from the Hobby tier. For larger teams with custom needs, the Business plan is $499.99 per month and includes 180,000 credits, priority support, and custom integrations. Every account starts with free credits, and there are no hidden fees or dark patterns. You can compare all plans and features on the Kompy website.