Search Amazon products, check prices and stock, read reviews and seller ratings across 20 marketplaces.
Live access to Amazon product details, reviews, search results, deals, offers and stock across 20 marketplaces. Muse can look up products by ASIN or keyword, compare seller prices and conditions, check inventory, and show customer reviews and ratings.
Try asking Muse: "Find the best price for this laptop across Amazon marketplaces and show me the seller ratings."
Source: Found in the official MCP Registry (app.apiguru/amazon-data) · First listed September 24, 2026
Each bar is one check, every 15 minutes. Green means it answered. Last checked 7 min ago.
What Muse can see: It does not ask you to sign in, so it cannot see your accounts. It only sees what Muse sends it from your request.
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Not in Muse's Connectors list yet, but Muse can still use it. Copy the request below and paste it into Muse. Muse asks before it shares anything with the app's site. Meta does not review apps used this way, so only use ones you trust. We tested this in the Muse app on September 24, 2026: Muse used an app's link directly this way and returned a live answer.
https://mcp.apiguru.app/mcpNot in Muse's Connectors list yet. Muse can still use it: its page gives you a request to paste into Muse.
Response time at the last check: 999ms. Worked in 100% of checks over 30 days.
Screened, no issues found
Screening looks for known threats and hidden instructions at the time of the check, and runs again weekly and whenever the tool list changes. It cannot see the server's code, so only connect what you need and review what Muse asks to do. How screening works.
product_detailsFetches the complete product record for one ASIN on one marketplace: title, price, star rating, rating count, images, description, feature bullets, variations and category. Price: $0.003 per call. 404 means the ASIN is absent from that marketplace and IS billed. 503 means our fetproduct_reviewsReturns the review block for one ASIN: overall star rating, total rating count, Amazon's 'customers say' AI summary, and the individual review list. Price: $0.003 per call. Same 404-billed / 503-not-billed semantics as product_details. Takes no filters: it returns the rating, ratsearchSearch Amazon products by keyword. Filters: page, sort_by, category_id (browse node), min_price / max_price (decimals), product_condition (NEW / USED / RENEWED), brand, seller_id, today_deals and deal_type (coupons, all_discounts, buy_more_save_more). Every answer carries filtersproduct_details_batchBatch variant of product_details. Accepts a comma-separated ASIN list, deduplicates it, and fetches all of them concurrently. Far cheaper and faster than N single calls. Price: $0.0024 per item (max 20). Billed per ASIN processed, including ones that come back not-found. More thaoffers_stockReturns the current offer list per ASIN (seller, price, condition, buy-box winner) and, optionally, the actual purchasable stock quantity. Price: $0.0045 per item (max 10). Billed per upstream Amazon request, which is more than one per ASIN when check_inventory is true. offers_cobest_sellersBest-seller rankings for a department of one marketplace, 50 per page. Every answer carries the department it resolved to and how (category_resolution: by slug, name or a fragment of a name, with a hint when a fragment such as 'shoes' landed on the whole 'Clothing, Shoes & JewelrdealsReturns the current Amazon deals feed: ASIN, title, deal price, list price, discount, deal badge, start/end time and product links. Filter by department (categories), brand id (brands), rating cut-off, price bounds, minimum discount and Prime program. Every answer carries availabseller_profile_batchReturns the storefront profile for each seller id: business name, rating, feedback counts, address and marketplace presence. Price: $0.0036 per item (max 10). Seller ID validation is all-or-nothing: one malformed id rejects the entire request with 400. Every row in results is an seller_productsProducts listed by a seller: a storefront search. Takes the same filters as search -- query, page, sort_by, category_id, min_price / max_price, product_condition, brand, today_deals, deal_type -- and answers with filters_applied, filters_ignored and available_filters like search seller_reviewsReturns paginated seller feedback, optionally filtered to a star-rating window. Price: $0.003 per call. from_rating and to_rating are optional; omit both for unfiltered feedback. A page holds 5 reviews and the answer carries current_page and has_next_page; Amazon exposes no totallist_capabilitiesList every Apiguru endpoint with its price, required parameters and supported marketplaces, plus your current access mode, cache and session budget. Free: answers locally with no network request and no charge. Call this before paid tools if you need to plan.send_feedbackReport a bug, ask for a field, or say what would make this API more useful. Free: never billed, no API key needed. Prefer GitHub if you have an account -- an issue at https://github.com/apiguru-app/agent-kit/issues gets a reply on the thread, this wall does not. Use this tool whehttps://mcp.apiguru.app/mcpNot in Muse's Connectors list yet, but Muse can still use it. Paste this into Muse: "Use Apiguru Amazon Data to help me. It is a free service with an MCP server at https://mcp.apiguru.app/mcp. It does not need an API key. Ask me before you share anything with it." Muse asks before it shares anything with the app's site. Meta does not review apps used this way, so only use ones you trust. We tested this in the Muse app on September 24, 2026: Muse used an app's link directly this way and returned a live answer.
At the last check (September 28, 2026, 09:01 UTC) the endpoint was working, answering in 999ms. Over the last 7 days it answered 100% of health checks. It is checked every 15 minutes.
It was screened on September 24, 2026 with the result "screened, no issues found". Screening checks the domain against threat feeds and reads the tools for hidden instructions and requests for passwords or card numbers. It cannot see the server's code, so grant only the access you need.
It exposes 12 tools, including product_details, product_reviews, search, product_details_batch. For example, you could ask Muse: "Find the best price for this laptop across Amazon marketplaces and show me the seller ratings."
This listing was added from public sources (Found in the official MCP Registry (app.apiguru/amazon-data)). If you build Apiguru Amazon Data, claim it to correct the details and get your badge.
Paste this on your site or README. It always shows the latest check.
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