Kompy

Kompy is the definitive Walmart data API that gives you structured marketplace data without the headache of running and maintaining scrapers. It is a single, unified API that delivers products, search results, barcode lookups, seller offers, customer reviews, and full price and stock history as clean, consistent JSON. Built for both humans and machines, Kompy offers a REST API that works with any programming language and a first-party MCP server that allows AI agents to query Walmart data directly. This means you can integrate Kompy into your existing stack or let your AI tools do the heavy lifting.

The core value proposition is speed, reliability, and simplicity. Kompy records the marketplace around the clock, taking hourly snapshots of price, stock, and buy-box changes for every SKU it tracks. This gives you the full Walmart price history, per seller, back to day one, a capability no other Walmart API provides. Whether you are a solo developer building a side project, a professional reseller looking for arbitrage opportunities, or a large team needing custom integrations, Kompy scales with you. With Google sign-in, instant API keys, and credit-based pricing, you can go from sign-up to your first real request in about 14 seconds. It is built for the modern developer who values clean data, fast responses, and a product that just works. Over 14,000 developers and businesses already trust Kompy for their Walmart data needs.

Full Product and Search API

Access the entire Walmart catalog with a single request. The product endpoint returns a complete record including price, stock status, seller information, brand, and customer rating. The search endpoint lets you query the live catalog with sort and filter options, returning results in milliseconds. This means you can find any product or search for clearance items, trending deals, or specific categories without any complex scraping logic.

Historical Price and Stock Data

Kompy records the marketplace around the clock, taking hourly snapshots of price, stock, 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 analyze trends, identify the best time to buy, and spot price drops that signal profitable arbitrage opportunities. The history endpoint returns clean JSON with timestamps, prices, and seller IDs.

MCP Server for AI Agents

Kompy ships with a first-party MCP server that turns every API operation into a callable tool for AI agents. Tools like Claude Code, OpenClaw, and Cursor can natively use Kompy to search products, check prices, and analyze historical data. This means your AI agent can autonomously scan for clearance items, calculate ROI, and alert you to profitable flips without you writing a single line of code. It is the easiest way to integrate Walmart data into your AI workflow.

Clean, Consistent JSON Responses

Every response from Kompy is predictable and structured. No messy HTML parsing, no unreliable selectors, no broken scrapers. Each request returns a JSON object with a data field containing the requested information and a meta field with a unique request_id and latency measurement. This deterministic schema makes it trivial to integrate into any application, from a simple price tracker to a complex data pipeline.

Retail Arbitrage and Flipping

Resellers can use Kompy to scan Walmart clearance items and compare prices against Amazon or other marketplaces. The search endpoint with price drop sorting instantly finds items with significant discounts. The history endpoint then validates the trend, showing if the price is genuinely low. With the MCP server, an AI agent can autonomously scan for flips that clear a 30% ROI bar, calculate fees, and alert the user to profitable opportunities. This turns a manual, time-consuming process into an automated, data-driven strategy.

Price Monitoring and Competitive Analysis

Businesses can use Kompy to track competitor pricing on Walmart in real time. The product endpoint provides live prices and stock status, while the history endpoint reveals pricing patterns and seasonal trends. You can set up automated alerts for price drops or stock changes on specific SKUs. This is invaluable for ecommerce brands, retailers, and market analysts who need to stay ahead of the competition without building and maintaining their own scraping infrastructure.

AI-Powered Shopping Assistants

Developers building AI agents or chatbots can integrate Kompy via the MCP server to give their agents real-time access to Walmart product data. An AI assistant can search for products, check prices, read reviews, and even analyze price history to recommend the best time to buy. This creates a seamless user experience where customers can ask natural language questions like "Find me the best deal on a 65-inch TV" and get accurate, data-backed answers instantly.

Data-Driven Product Research

Market researchers and data scientists can use Kompy to build datasets for analysis. The structured JSON output makes it easy to collect product information, pricing data, and review scores at scale. With the full price history endpoint, you can analyze price elasticity, demand patterns, and seller behavior over time. This is perfect for academic research, financial modeling, or building predictive models for ecommerce trends.

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

The REST API is a standard HTTP interface that you can call from any programming language using curl, Python, Node.js, Go, or any other tool. The MCP server provides the same operations as callable tools for AI agents. You use the same API key and credits for both. The choice depends on your workflow: use REST for traditional applications and MCP for AI-powered agents.

How does pricing and credit usage work?

Kompy uses a credit-based system. Each API request consumes a certain number of credits based on the endpoint and complexity. You can see your credit usage in the dashboard. Plans start at the Hobby tier with 14,000 credits per month for $49.99, the Pro tier with 45,000 credits for $149.99, and the Business tier with 180,000 credits for $499.99. Every new account starts with free credits so you can test the API before committing.

What kind of historical data is available?

Kompy records the Walmart marketplace around the clock, taking hourly snapshots of price, stock, and buy-box changes for every SKU it tracks. The full price history is available per seller, back to day one. This includes data from Black Friday events, seasonal sales, and regular price fluctuations. You can query any time range using the history endpoint.

Is Kompy affiliated with Walmart?

No, Kompy is not affiliated with or endorsed by Walmart Inc. It is an independent API service that provides structured access to publicly available Walmart marketplace data. The service is designed to be a reliable and efficient alternative to building and maintaining your own web scrapers.

Kompy offers three straightforward pricing tiers to fit any scale, from side projects to production systems. All plans include API access, MCP server access, and email support.

Hobby: $49.99 per month for individuals getting started. Includes 14,000 credits per month and email support.

Pro: $149.99 per month for professionals and small teams. Includes 45,000 credits per month and priority support.

Business: $499.99 per month for large teams with custom needs. Includes 180,000 credits per month, priority support, and custom integrations.

Every account starts with free credits. No forced upgrade, no dark patterns. You can get your API key and start making real requests in about 14 seconds.