Kompy

Kompy is the Walmart data API that actually delivers. Forget running fragile scrapers that break every time Walmart sneezes. Kompy gives you structured, clean, and consistent JSON data straight from the Walmart marketplace without the headache. Products, search results, barcode lookups, seller offers, reviews, and full price and stock history all flow through a single API. Built for both humans and machines, Kompy offers a REST API you can call from any language and an MCP server that lets your AI agents query Walmart data directly. Whether you are a solo dev flipping clearance items on Amazon, a small team building a price tracking tool, or a large enterprise running competitive analysis at scale, Kompy scales with you. Google sign-in gets you instant API keys, and credit-based pricing means you only pay for what you use. No dark patterns, no forced upgrades, just fast, reliable data. Kompy records the marketplace around the clock, capturing hourly snapshots of every SKU with per-seller granularity. The full Walmart price history is there, back to day one. No other Walmart API keeps this level of detail. Kompy is the unified ecommerce scraping API you can actually build on.

One API for Everything

Stop juggling ten different endpoints from ten different providers. Kompy gives you a single REST API that covers products, search, barcode lookup, seller offers, reviews, and full price and stock history. Every response comes back as clean, consistent JSON with predictable shapes and structured errors. No SDK required, just plain HTTP and your API key. Every response includes a request_id for tracing, so you always know what happened and how fast.

MCP Server for AI Agents

Point your AI agent at Kompy's MCP server and watch it query Walmart data directly. Claude Code, OpenClaw, Cursor, or your own stack, anything that speaks MCP or HTTP works. The same operations that ship as REST endpoints also ship as callable tools for agents. Deterministic schemas, small payloads, and structured errors make integration seamless. Your agent can search, check history, pull reviews, and find profitable flips without you writing a single line of glue code.

Full Price History

Kompy records the marketplace around the clock. Every SKU gets hourly snapshots with per-seller granularity, tracking price, stock, and buy-box changes. The full Walmart price history is there, back to day one. No other Walmart API keeps this level of detail. You can explore the history endpoint to see exactly how a product's price moved over the last 12 months, spot Black Friday dips, or identify when a seller dropped their price. This is gold for arbitrage, repricing, and competitive analysis.

Clean, Fast JSON Responses

Every request to Kompy returns clean, predictable JSON with minimal payloads. No bloated responses full of fields you don't need. A product lookup returns the ID, name, brand, price, currency, stock status, rating, review count, seller, and timestamp. That is it. Responses come back in milliseconds, with latency tracked in the meta field. You get the data you need, fast, without the noise.

Retail Arbitrage and Flipping

Scan Walmart clearance for anything you can flip on Amazon at a 30%+ ROI. Use Kompy's search endpoint with sort and filters to find clearance items, then pull the price history to confirm the trend. Check the buy-box price, compare it to Amazon's current price, and calculate your profit margin. Kompy's history endpoint shows you the price trajectory, so you know if that Samsung TV is actually a deal or just a temporary dip. Set your agent to watch hourly and ping you when a new flip clears the bar.

Competitive Price Monitoring

Track your competitors' pricing on Walmart in real time. Use Kompy's product endpoint to get the current price and stock status for any SKU. Pull the history endpoint to see how prices have moved over the last 30 days, 90 days, or 12 months. Set up automated alerts when a competitor drops their price below a threshold. Kompy's per-seller granularity means you can see exactly which seller changed their price and when. Perfect for ecommerce brands, retailers, and marketplace sellers who need to stay competitive.

AI Agent-Powered Market Research

Plug Kompy's MCP server into your AI agent and let it do the heavy lifting. Your agent can search the Walmart catalog, pull product details, check reviews, and analyze price history in real time. Use it to find trending products, identify price drops, or research competitor strategies. No more manual copy-pasting from the Walmart website. Your agent talks directly to Kompy, gets structured JSON back, and can make decisions or generate reports on the fly. Works with Claude Code, OpenClaw, Cursor, LangChain, OpenAI Agents SDK, and n8n.

Building Price Tracking Tools

Build your own price tracker, deal aggregator, or repricing tool on top of Kompy's API. Pull hourly snapshots of any SKU's price and stock status. Store the history in your own database. Set up alerts when prices drop below a certain threshold. Kompy's credit-based pricing scales from a side project tracking a few dozen products to a production system monitoring thousands of SKUs. The REST API works with any language, so you can build in Python, Node, Go, or whatever stack you prefer. No SDK required, just HTTP and your API key.

What kind of data does Kompy provide?

Kompy provides structured Walmart marketplace data including products, search results, barcode lookups, seller offers, reviews, and full price and stock history. All data is returned as clean, consistent JSON. The product endpoint returns ID, name, brand, price, currency, stock status, rating, review count, seller, and capture timestamp. The history endpoint provides hourly snapshots with per-seller granularity going back to day one. The search endpoint supports sorting and filtering to find exactly what you need.

How do I get started with Kompy?

Getting started takes about 14 seconds. Sign in with Google, get your instant API key, and start making requests. Every account starts with free credits, so you can test the API without any upfront payment. You can call the REST API directly from any language using plain HTTP, or point your AI agent at the MCP server. No SDK required, no complex setup, just your API key and a URL. The docs show you exactly how to make your first request with curl, Python, Node, or Go.

What is the MCP server and how does it work?

The MCP server lets AI agents query Walmart data directly using callable tools. Instead of writing code to call the REST API, your agent can use tools like kompy.search, kompy.product, kompy.history, and kompy.reviews. The same operations that work over REST also work over MCP, with deterministic schemas, small payloads, and structured errors. You can add the MCP server to Claude Code, OpenClaw, Cursor, LangChain, OpenAI Agents SDK, or n8n with a single command. Your agent gets the same data, same speed, same reliability.

How does pricing work?

Kompy uses credit-based pricing that scales from side project to production. Credits are consumed per request, and different endpoints may cost different amounts. There are three paid plans: Hobby at $49.99/month for 14,000 credits, Pro at $149.99/month for 45,000 credits, and Business at $499.99/month for 180,000 credits. Every account starts with free credits so you can try the API before committing. No hidden fees, no dark patterns, no forced upgrades. You can upgrade your plan when you are ready to scale.

Kompy offers three paid plans with credit-based pricing. The Hobby plan costs $49.99 per month and includes 14,000 credits, API access, MCP server access, and email support. The Pro plan costs $149.99 per month and includes 45,000 credits, API access, MCP server access, and priority support. The Business plan costs $499.99 per month and includes 180,000 credits, API access, MCP server access, priority support, and custom integrations. Every account starts with free credits so you can test the API before committing. No hidden fees, no dark patterns, just the same fast API at every tier.