Canopy API
Canopy API provides real-time Amazon product data via REST, GraphQL, and MCP interfaces for developers and AI agents.
Canopy API: a real-time Amazon product data API
Canopy API is a real-time Amazon product data API that reaches more than 350 million Amazon products. Developers query it three ways — a REST endpoint, a GraphQL schema, and a native MCP server — so the same catalog can power a one-line curl call or an AI agent pulling live listings on demand. Responses return live pricing and sales estimates, product reviews, search rankings, and category browsing, which is enough to build price tracking, sales and inventory monitoring, or search-ranking analysis on top of live Amazon data. Because it reads public Amazon data, teams can build at scale without official Amazon API approval — a practical shortcut for anyone who has been blocked from Amazon's own product APIs. Getting started is a sign-up, an API key from the dashboard, and a request such as curl rest.canopyapi.co/product/B0B3JBVDYP; the free Hobby tier covers 100 requests a month before any spend, and pay-as-you-go adds requests at $0.01 each once that runs out.
⇄Using the official MCP server with AI agents
Canopy ships a native, official MCP server, so an AI agent can connect once and pull live Amazon product data — prices, reviews, rankings — as part of its own workflow, without a developer hand-coding each call. It is the same 350M-product catalog behind the REST and GraphQL endpoints, exposed through the Model Context Protocol that agent frameworks already speak, so an MCP-aware assistant treats Amazon as just another live data source. For heavier automation, the Premium plan starts at $99 a month with 20,000 requests included, then $0.008 per additional request. MCP setup and endpoints are documented at docs.canopyapi.co/ai/mcp.
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FAQ
How many Amazon products does Canopy API cover?
Canopy API provides real-time data on more than 350 million Amazon products, pulled on demand rather than from a static export.
Which interfaces does Canopy API support — REST, GraphQL, or MCP?
All three. The same Amazon product data is available through a REST endpoint, a GraphQL schema, and a native MCP server, so you can use whichever fits your stack.
Does Canopy API have an MCP server that AI agents can use?
Yes. It ships a native, official MCP server, letting an AI agent pull live Amazon product data — prices, reviews, and rankings — directly into its workflow. Docs are at docs.canopyapi.co/ai/mcp.
Is there a free tier for Canopy API?
Yes. The Hobby plan is free and includes 100 requests per month — enough to test the API before moving to a paid plan.
What data does Canopy API return?
Each request can return live pricing and sales estimates, product reviews, search rankings, and category browsing data for Amazon listings.
Do you need official Amazon API approval to use Canopy API?
No. Canopy is built for developers and AI agents that need Amazon product data at scale without official Amazon API approval.
How much does Canopy API cost?
Pricing runs from the free Hobby tier (100 requests/month) to Pay As You Go ($0.01 per request after the 100 free), Premium ($99+/month with 20,000 requests included, then $0.008 each), and custom Enterprise pricing.
How do you get started with Canopy API?
Sign up, copy your API key from the dashboard, and make a call such as curl rest.canopyapi.co/product/B0B3JBVDYP to pull live data for a given Amazon product.