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Canopy API v2: Faster Amazon data, lower high-volume pricing, and MCP support
Canopy API v2 is live. This release is focused on three things: speed, reliability, and making Amazon product data dead simple to plug into AI agents.
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MCP server for AI agents. Canopy now ships a native MCP integration alongside our GraphQL and REST APIs. Connect Claude, Cursor, or any MCP-compatible agent to live Amazon product data, search results, pricing, and seller information with a single config entry. No wrapper code, no glue scripts.
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Three ways to query, one data layer. GraphQL when you want precise, nested queries in a single request. REST with a full OpenAPI 3.1 spec when you want simple, predictable endpoints. MCP when the consumer is an agent instead of an app. All three run on the same infrastructure and return the same normalized product data.
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Performance improvements. We rearchitected request batching and caching across our edge network. Typical product lookups now return in 200ms at p95, and multi-product queries are dramatically faster thanks to smarter request handling.
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Data reliability improvements. New retry and validation layers mean fewer empty fields, fewer stale prices, and consistent product schemas across marketplaces. If we return a field, you can trust it.
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Lower prices at volume. High-volume tiers got a real price cut. Requests beyond 20K per month now cost up to 50% less, and usage-based billing means you only pay for what you actually pull.
Whether you're building price trackers, market research tools, or AI shopping agents, v2 is the fastest way to get structured Amazon data into your product. Start at canopyapi.co.
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Alex Tetereb🙏 35 karmaAug 16, 2025@MCP ShowcaseI would call it a "documentation generator for MCP". Would be great to see support for LM Studio too. Other than that, it looks like this tool already follows the best practices for MCP docs. For example, here is a demo for web scraping with Tavily: https://mcpshowcase.com/p/mcp-server-directory/tavily-mcp-server The docs on how to connect your MCP to different AI assistants are essential, but also a pain to maintain on your own. Also nice to see the auto-generated use cases and sample chats! -
One API to track mentions, sentiment, and visibility across top LLMs.Open
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Verified tools
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Build AI Mobile & Web Apps - No Code, No Api KeysOpenI built my fitness app and published it to both App Store and Google Play in just 3 days. OnSpace AI handled all the mobile development complexity. I'm now earning from in-app subscriptions. - SpotlightSureThing.io - "OpenClaw" for BeginnersTask automation
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I really liked the agency billing with stripe really makes it easier to charge my clients and show their campaign results
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Cool tool. I hope you continue to develop this tool to reach its full potential. Keep it up
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Took me a minute to get the first really good workflow done but I definitely see the value. Keep going on this one and I’ll keep sending feedback.
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AI render enhancer built for archviz professionals.Open
Other tools
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it does not give you enough credits to use veo3 which it claim to .
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You can find the customer service with chat button. Tina help me a lot
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Vocode has been a game-changer for our voicebot project! It handles real-time audio streams seamlessly and made integration with our custom ASR and TTS components easy. Can recommend for any voice AI applications!
