Kompy
Get clean Walmart price, stock, seller, and review data in milliseconds via REST or MCP for developers and AI agents.
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About Kompy
Kompy is the fastest, most efficient way to get structured Walmart marketplace data without running scrapers or managing brittle infrastructure. It delivers clean, consistent JSON for products, search, barcode lookup, seller offers, reviews, and full price and stock history through a single unified API. Built for speed, Kompy returns responses in milliseconds, letting you build applications and automate workflows at lightning pace. Whether you are a solo developer building a side project, a data analyst tracking market trends, or an AI agent looking for real-time ecommerce data, Kompy works seamlessly with your stack. Use the REST API from any programming language, or point your AI agent at the MCP server and it can query Walmart data directly. Google sign-in gives you instant API keys, and credit-based pricing scales from a hobby project to production. Kompy eliminates the pain of web scraping, rate limiting, and data parsing, giving you reliable, always-fresh marketplace data on demand. Every request is fast, every response is predictable, and every credit counts.
Features of Kompy
Unified REST API and MCP Server
Kompy gives you two ways to access the same powerful data. Use the REST API with any HTTP client in any language for traditional integration, or connect your AI agents directly via the MCP server. The same API key works for both, and every operation returns deterministic schemas with small payloads and structured errors. This means you can switch between human-driven development and agent-driven automation without any friction.
Full Product and Search Data
Get complete product records including price, stock status, seller information, ratings, and review counts in a single request. The search endpoint lets you query the live Walmart catalog with sort options and filters, returning up to 128 results in under 50 milliseconds. This feature is built for speed, giving you the data you need to make decisions instantly.
Historical Price and Stock Tracking
Kompy records the Walmart marketplace around the clock, capturing hourly snapshots of price, stock, and buy-box changes for every SKU. You get full price history per seller back to day one, with per-seller granularity. No other Walmart API keeps this level of historical data. Use the history endpoint to analyze trends, spot price drops, and identify arbitrage opportunities with confidence.
Credit-Based Pricing with Instant Access
Start with free credits and scale from there. Google sign-in gets you an API key in under 14 seconds. Credit-based pricing means you only pay for what you use, with plans that grow from hobby to production. No hidden fees, no forced upgrades, just the same fast API at every tier. This makes Kompy accessible for individuals and powerful enough for large teams.
Use Cases of Kompy
Ecommerce Price Monitoring and Arbitrage
Track Walmart prices in real time and identify profitable flips on other marketplaces. Use the search and history endpoints to scan for clearance items with significant price drops, then calculate ROI instantly. For example, find a Samsung TV at $447.99 on Walmart that sells for $612 on Amazon, yielding a 34% ROI. Set up automated alerts to ping you when new opportunities clear your profit threshold.
AI Agent Powered Market Research
Plug Kompy into your AI agent stack using the MCP server. Agents can search products, get full details, check price history, and retrieve reviews as callable tools. This enables autonomous market research, competitive analysis, and inventory management. Agents can scan thousands of products hourly and report back only the most actionable insights, saving you hours of manual work.
Building Ecommerce Tools and Dashboards
Develop fast, reliable ecommerce tools using Kompy as your data backbone. Build price trackers, stock alerts, seller analysis dashboards, and product research apps. The consistent JSON output and REST API make integration straightforward in any language. With historical data, you can visualize price trends over months and make data-driven purchasing decisions.
Automated Inventory and Repricing Systems
Connect Kompy to your inventory management or repricing software to get live Walmart data without scraping. Monitor competitor prices, check stock availability, and adjust your own pricing strategies automatically. The per-seller granularity in the history endpoint lets you understand how individual sellers change prices over time, giving you a competitive edge.
Frequently Asked Questions
What data does Kompy provide for Walmart products?
Kompy returns full product records including name, brand, price, currency, stock status, seller, rating, and review count. You can also get search results with sort and filters, barcode lookup results, seller offers, customer reviews, and complete price and stock history per seller back to day one. All data is returned as clean, consistent JSON.
How does the MCP server work with AI agents?
The MCP server turns every Kompy operation into a callable tool for AI agents. Agents like Claude Code, OpenClaw, Cursor, or any MCP-compatible client can query Walmart data directly using natural language commands. For example, an agent can run "kompy.search(q=clearance, sort=price_drop)" and get structured results in milliseconds. The same API key works for both REST and MCP access.
How is pricing structured and what do credits mean?
Kompy uses credit-based pricing. Each API request costs a set number of credits depending on the endpoint. Plans start at $49.99/month for 14,000 credits (Hobby), $149.99/month for 45,000 credits (Pro), and $499.99/month for 180,000 credits (Business). Every new account starts with free credits. You can upgrade or downgrade anytime with no hidden fees.
Is Kompy affiliated with Walmart Inc.?
No, Kompy is not affiliated with or endorsed by Walmart Inc. It is an independent third-party API that provides structured access to publicly available Walmart marketplace data. Kompy does not use scrapers or violate any terms of service, relying on legitimate data collection methods to deliver fast, reliable information.
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