Kompy

Kompy is basically the cheat code for getting Walmart marketplace data without all the headache of running your own scrapers. Think of it as that one friend who always has the hookup on pricing info, stock levels, and seller data, but way more reliable and way less annoying. It is a single API that covers products, search, barcode lookup, seller offers, reviews, and full price and stock history. Everything comes back as clean, consistent JSON so you do not have to waste time parsing garbage responses.

Here is the real kicker: Kompy is built for both humans and machines. You can hit the REST API from literally any language because it is just plain HTTP. Or, if you are feeling fancy, you can point your AI agent at their MCP server and it can query Walmart data directly. No middleman, no nonsense. Google sign-in gets you in the door, instant API keys are handed out like candy, and the whole thing runs on credit-based pricing that scales from your side project in a garage to full production madness. Whether you are a solo dev trying to flip clearance items or a team building a full blown price tracking platform, Kompy has your back. It is fast, it is cheap, and it works.

REST API and MCP Server

You get both a standard REST API and a first-party MCP server with the same key and same credits. The REST endpoints are documented and callable from any language, while the MCP server lets AI agents like Claude Code, OpenClaw, or Cursor use them as callable tools. Deterministic schemas, small payloads, and structured errors mean no surprises either way. It is like having your cake and eating it too, but the cake is data and you are never hungry.

Full Price History

Kompy records the entire marketplace around the clock, tracking price, stock, and buy-box changes for every SKU. This is not some weak sauce snapshot either. You get hourly snapshots with per-seller granularity, and the data goes all the way back to day one. No other Walmart API keeps this level of history. You can literally see a product go from its Black Friday price to its current price, seller by seller, month by month. It is a goldmine for anyone who needs to understand pricing trends.

Search with Sort and Filters

The search endpoint is not just a basic keyword lookup. It lets you query the live catalog with real sort options and filters. You can sort by price drop, filter by stock status, or narrow down by seller. The response is fast and clean, usually under 50 milliseconds. This is perfect for finding clearance items, tracking specific brands, or just seeing what is hot right now. It is like having a personal shopper that never sleeps and never gets tired.

Historical Data per Seller

Every price change is remembered per seller, not just the overall buy box. This means you can see exactly what each seller was charging at any point in time. Want to know if a third party seller is price gouging? Just check their history. Need to verify if a price drop is real or just a flash sale? The data is right there. This level of granularity is insane for competitive analysis and market research.

Flipping Clearance Items for Profit

You can use Kompy to scan Walmart clearance sections for items that have a high enough price gap to flip on Amazon or eBay. Just hit the search endpoint with a clearance keyword and sort by price drop. Then check the history endpoint to see if the price is stable or still dropping. The API even tells you the current Amazon price versus Walmart price, so you can calculate your ROI instantly. It is like having a crystal ball for arbitrage, and it works 24/7 without you lifting a finger.

Building a Price Tracking Dashboard

If you are building a tool that needs to track prices over time, Kompy is your best friend. You can pull hourly snapshots for any SKU and store them in your own database. The consistent JSON format makes it trivial to integrate with any frontend or analytics tool. You can build alerts for price drops, track competitor pricing, or just keep an eye on products you care about. The history endpoint gives you the full picture, so your dashboard is never missing context.

AI Agent Based Market Research

Point your AI agent at Kompy's MCP server and let it do the heavy lifting. Agents can search the catalog, pull product details, check reviews, and analyze price history all through natural language commands. This is perfect for rapid market research where you need answers fast. Instead of writing complex queries, you just ask your agent questions like "what is the best selling TV under 500 bucks" or "show me products with a 30% price drop this month." The agent handles the rest.

Competitive Analysis for Ecommerce Sellers

If you are selling on Walmart or competing with Walmart sellers, Kompy gives you the edge. You can monitor competitor pricing in real time, see when they run sales, and understand their stock patterns. The per-seller history lets you track specific competitors over weeks or months. You can even set up automated alerts that ping you when a competitor drops their price below a certain threshold. It is like having a spy in the enemy camp, but totally legal and way more efficient.

What exactly is Kompy?

Kompy is an API that gives you structured Walmart marketplace data without running your own scrapers. It covers products, search, barcode lookup, seller offers, reviews, and full price and stock history. Everything comes back as clean, consistent JSON. You can access it via a standard REST API or through an MCP server for AI agents. It is built for developers, data analysts, and anyone who needs reliable Walmart data fast.

How does the pricing work?

Kompy uses a credit-based pricing system. Every API call costs a certain number of credits, and you buy a monthly plan that gives you a set number of credits. The plans start at 49.99 per month for 14,000 credits and go up to 499.99 per month for 180,000 credits. There are no hidden fees or dark patterns. Every new account starts with free credits so you can test the API before committing to a paid plan.

Can I use Kompy with AI agents?

Absolutely. Kompy ships with a first-party MCP server that works with Claude Code, OpenClaw, Cursor, and any other agent that speaks the MCP protocol. Your agent gets access to callable tools like product lookup, search, history, and reviews. You just add the MCP server with your API key and your agent can query Walmart data directly. It is dead simple and incredibly powerful.

What kind of historical data is available?

Kompy records hourly snapshots of price, stock, and buy-box changes for every SKU it tracks. The data goes back to day one for each product, and it is stored per seller. This means you can see exactly what each seller was charging at any point in time. The history endpoint returns this data as clean JSON, making it easy to analyze trends, spot patterns, or just satisfy your curiosity about how a product's price has changed over time.

Kompy offers three pricing tiers to fit different needs and budgets. Every plan includes API access, MCP server access, and email support. Higher tiers add priority support and custom integrations for larger teams.

Hobby at 49.99 per month gives you 14,000 credits. Perfect for individuals getting started or running small experiments.

Pro at 149.99 per month gives you 45,000 credits. This is the most popular plan for professionals and small teams who need more throughput.

Business at 499.99 per month gives you 180,000 credits plus custom integrations. Built for large teams with serious data needs.

Every new account starts with free credits so you can test everything out before paying a dime. No forced upgrades, no dark patterns, just the same fast API at every tier. Get your API key and be making your first request in about 14 seconds.