Kompy

Kompy is a revolutionary, unified ecommerce data API that transforms how developers, data analysts, and AI agents access Walmart marketplace intelligence. It eliminates the archaic, fragile practice of running scrapers by providing a single, structured, and deterministic interface for the entire Walmart catalog. With Kompy, you are not just fetching data; you are plugging into a live, historical, and infinitely scalable data stream. The platform delivers clean, consistent JSON for products, search results, barcode lookups, seller offers, customer reviews, and comprehensive price and stock history. Built for both human developers and autonomous machines, Kompy offers a dual-access paradigm: a powerful REST API for any programming language and a cutting-edge MCP (Model Context Protocol) server that allows AI agents like Claude Code and OpenClaw to query Walmart data directly as callable tools. This is the future of data acquisition, where you bypass the complexity of web scraping and go straight to the source with millisecond latency. Whether you are a solo entrepreneur analyzing clearance flips, a small team building a competitive intelligence dashboard, or a large enterprise powering automated trading algorithms, Kompy is the infrastructure you can build on. It is a credit-based, no-dark-patterns platform that scales from a side project to production, all while being incredibly affordable. Kompy is not just an API; it is the unified ecommerce intelligence layer for the AI age, starting with Walmart and expanding to more marketplaces.

REST API and MCP Server

Kompy shatters the barrier between traditional code and autonomous agents. You get a fully documented REST API that you can call from any language, returning predictable JSON shapes with structured errors. Simultaneously, the same powerful operations are exposed as a first-party MCP server. This means your AI agents, whether running in Claude Code, Cursor, or your own custom stack, can treat Walmart data as callable tools. No SDK required, no complex integrations. Just a single API key unlocks a universe of data for both humans and machines, operating on the same credit system.

Full Historical Price and Stock Data

This is the killer feature that no other Walmart API provides. Kompy records the marketplace around the clock, taking hourly snapshots of price, stock, and buy-box changes for every SKU it tracks. You get access to the full Walmart price history, per seller, back to day one. This is not just a current snapshot; it is a time machine for commerce. You can analyze price trends, identify seasonal dips, spot Black Friday anomalies, and build predictive models. This historical granularity is the bedrock for serious financial analysis, inventory planning, and arbitrage detection.

Comprehensive Product and Search Intelligence

Kompy collapses the entire Walmart catalog into a single, powerful API call. The product endpoint returns a full record including name, brand, price, stock status, seller, and ratings. The search endpoint lets you query the live catalog with advanced sorting and filtering, such as sorting by price drop to find clearance deals. The reviews endpoint provides customer sentiment data, and the barcode lookup connects physical items to their digital profiles. This is a unified intelligence layer that gives you a 360-degree view of any product in the ecosystem.

Credit-Based Pricing and Instant Access

Kompy operates on a transparent, credit-based system that scales effortlessly from a side project to a production pipeline. You start with free credits upon sign-in via Google, and you can issue real requests in about 14 seconds. The pricing plans are simple and predictable: Hobby, Pro, and Business tiers offer increasing monthly credits. There are no hidden fees, no forced upgrades, and no dark patterns. Every account gets the same fast API, and you only pay for the data you consume. This is the democratization of marketplace intelligence.

Automated Retail Arbitrage and Flipping

This is the flagship use case demonstrated by Kompy. An AI agent, like OpenClaw, can scan the entire Walmart clearance catalog using the search endpoint with a sort=price_drop filter. It then uses the history endpoint to verify the price drop is real and sustained. The agent can instantly calculate ROI against Amazon prices, identify profitable flips (e.g., a Samsung TV with a $164 gap), and even set up hourly watches to alert the user when new opportunities appear. This turns a manual, tedious process into a fully autonomous profit engine.

Competitive Intelligence and Price Monitoring

Businesses can use Kompy to build real-time dashboards that track competitor pricing, stock levels, and seller behavior on Walmart. By combining the product endpoint for current data with the history endpoint for trends, a company can see when a competitor drops prices, runs out of stock, or changes their buy-box strategy. This intelligence is critical for dynamic pricing algorithms, inventory planning, and strategic marketing. It replaces expensive, unreliable scraping with a deterministic, legal data stream.

AI Agent Training and Tool Integration

Developers building AI agents can use Kompy's MCP server as a plug-and-play tool. An agent can be instructed to "find the cheapest 65-inch TV on Walmart with a rating above 4.0" and it will autonomously call the search and product endpoints to fulfill the request. This allows for the creation of sophisticated shopping assistants, inventory bots, and research agents that operate with real-world data. The deterministic schemas and structured errors make it easy to integrate into any agentic framework like LangChain or the OpenAI Agents SDK.

Data-Driven Investment and Market Analysis

For investors and analysts, the historical data is invaluable. By analyzing the 12-month price history of a product, one can identify peak seasons, assess brand health, and predict future price movements. A hedge fund could track the price of a specific electronics SKU to gauge supply chain disruptions. A brand manager could monitor the price consistency of their products across sellers. Kompy turns raw marketplace data into a strategic asset for high-level financial and market analysis.

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

The REST API is a standard HTTP interface that you call from any programming language (Python, Node.js, Go, etc.) to get JSON responses. The MCP server is an agent-friendly interface that exposes the same operations as callable tools for AI agents. When you use Kompy with Claude Code or OpenClaw, the agent sees functions like kompy.search and kompy.history that it can call directly. Both use the same API key and credit system, so you can choose the interface that best fits your workflow.

How does the credit system work and what does a credit cost?

Credits are the unit of consumption on Kompy. Each API request consumes a certain number of credits based on the endpoint and complexity. The pricing plans (Hobby, Pro, Business) offer a set number of monthly credits for a fixed fee. For example, the Hobby plan is $49.99/month for 14,000 credits. You can also start with free credits to test the service. There are no hidden overage fees; if you run out of credits, you simply upgrade or wait for the next billing cycle. This makes costs predictable and scalable.

Can I use Kompy to track prices for any product on Walmart?

Yes, if the product is in the Walmart catalog, Kompy can track it. The product endpoint provides current data, and the history endpoint provides the full price and stock history back to day one. The search endpoint allows you to discover products based on queries and filters. Kompy records data for every SKU it tracks, providing per-seller granularity. This covers the vast majority of the Walmart marketplace.

Is Kompy affiliated with or endorsed by Walmart?

No. Kompy is an independent third-party data service provider. It is not affiliated with, endorsed by, or sponsored by Walmart Inc. The data is gathered through public interfaces and is provided as a service to developers and businesses. Kompy operates under its own terms of service and privacy policy, which are separate from Walmart's. Users are responsible for ensuring their use of the data complies with all applicable laws and terms of service.

Kompy offers three transparent, credit-based pricing tiers designed to scale from individual projects to enterprise production pipelines. All plans include API access, MCP server access, and the same fast infrastructure.

Hobby at $49.99 per month is for individuals getting started. It includes 14,000 credits per month and email support.

Pro at $149.99 per month is the popular choice for professionals and small teams. It includes 45,000 credits per month and priority support.

Business at $499.99 per month is for large teams with custom needs. It includes 180,000 credits per month, priority support, and custom integrations.

Every account starts with free credits upon signup. There are no hidden fees, no forced upgrades, and no dark patterns. You can begin issuing real requests in approximately 14 seconds.