Fetch complete, structured information about a single Amazon product: title, brand, images, feature bullets, description, Buy Box price and availability, Prime eligibility, rating and review count, Best Sellers Rank, category path, variants, specifications, and top reviews. This is the primary tool for product analysis, listing enrichment, and price monitoring.

Use this tool when you need a full product profile. If you only need competing seller prices, use get_product_offers instead (cheaper context). If you only need the sales rank, use get_bestseller_rank. If you only need shipping dimensions or the FBA fee category, use get_package_dimensions.

Provide EITHER the identifier field OR url — never both. Costs 1 credit; set a_plus_content to true only when the user explicitly asks about enhanced brand content, as it costs 1 extra credit.

Fetch the list of seller offers for an Amazon product: every merchant selling the item with their price, shipping cost, condition (new/used), fulfillment type (FBA/FBM), and seller rating. Also returns the Buy Box winner. This is the tool for competitive price analysis, reseller monitoring, and availability tracking.

Use this tool when the question is about WHO sells the product and at WHAT price. If you need the product's own details (title, images, rating), use get_product_detail instead.

Each requested page costs 1 credit. Start with a single page (default) and only increase max_page if the user needs the full offer list. Use the condition and shipping filters to narrow results instead of paginating — it is cheaper.

Search Amazon by keyword or a full search/category URL and get structured product listings: ASIN, title, price, rating, review count, Prime status, and badges (Best Seller, Amazon's Choice) for each result. Also returns the available refinement filters (category, brand, price range) with their IDs.

Use this tool for market research, keyword analysis, and product discovery. If the user already has an ASIN or product URL, do NOT search — use get_product_detail directly.

Each page costs 1 credit. One page typically returns 20-40 products, which is enough for most questions. Use sort_by and exclude_sponsored to improve result quality instead of fetching more pages. To filter by category or brand, first run one search and read the refinements field in the response to discover valid filter IDs, then pass them in refinements.

Convert an external product identifier (UPC, EAN, GTIN, ISBN, JAN, MINSAN) into the corresponding Amazon ASIN, with an essential product snapshot. This is the bridge between manufacturer/retail barcodes and the Amazon ecosystem.

Use this tool when the user has a barcode or standard product code and wants to find the matching Amazon listing. Typical workflows: catalog matching, inventory synchronization, converting supplier data into Amazon ASINs. Also accepts ASIN as input type if you need to validate one.

You MUST set identifier_type to match the code you have — guessing the wrong type returns no results. UPC is 12 digits, EAN/GTIN is 13, ISBN is 10 or 13 (books). If the user gives a keyword instead of a code, use search_products instead. Costs 1 credit.

Retrieve a product's historical performance over up to 12 months: weekly aggregated trends for estimated views/traffic, sales, price, and Best Sellers Rank. This is Easyparser's 'time machine' — the deepest competitive-intelligence tool in this server.

Use this tool for trend forecasting, seasonality analysis, conversion-rate estimation, and investment/sourcing due diligence. Do NOT use it for a simple current price check — get_product_detail is 5x cheaper for that.

IMPORTANT cost rule: the base cost is 5 credits, and each month of history adds 1 credit (3 months = 8 credits, 12 months = 17 credits). Always ask the user how far back they need, or default to 3 months for a quick trend read. The history array in the response is aggregated by WEEK, not by day.

Get a product's current Best Sellers Rank (BSR): its numerical rank in main categories and sub-category node identifiers. A lightweight, single-purpose tool for popularity and demand tracking.

Use this tool when you only need the rank — e.g. 'Is this product selling well?' or daily rank monitoring. Lower rank number means higher sales velocity. If you also need price, rating or content, use get_product_detail instead (it includes BSR along with everything else). For historical rank trends, use get_sales_history. Costs 1 credit.

Get a product's precise physical and logistical attributes: package height, width, length, weight, and its Amazon fee category (e.g. Computers, Apparel). This is the FBA fee-estimation and shipping-cost tool.

Use this tool when the question is about shipping, storage, FBA fees, or warehouse planning. Do NOT use it for general product info — get_product_detail includes a human-readable dimensions string, but only THIS tool returns the structured fee category and exact measurements needed for fee calculation. Costs 1 credit.

Unmask the legal identity and reputation of any Amazon merchant: legal business name, registered business address, and granular feedback trends over 30/90/365 days and lifetime. This is the supplier-verification and brand-protection tool.

Use this tool when the user asks 'who is this seller?', 'is this merchant legitimate?', or needs a supplier's legal entity for compliance or invoicing. To see WHAT the seller sells, use get_seller_products. To read individual buyer reviews about the seller, use get_seller_feedback.

Provide EITHER seller_id OR url — never both. You can discover a product's seller by calling get_product_offers first. Costs 1 credit.

Extract a seller's full product catalog: every ASIN they sell with brand, category, price, Prime status, variant counts, and rating data. Also returns dynamic refinement filters (department, shipping, sustainability) for drilling into the catalog.

Use this tool for competitor inventory analysis, stock monitoring, and pricing-strategy research. If you need the seller's legal identity or reputation instead of their products, use get_seller_profile.

Each page costs 1 credit. Start with one page and use sort_by (e.g. 'exact-aware-popularity-rank' for best sellers first) to surface the most relevant products early. Provide EITHER seller_id OR url — never both.

Read individual buyer feedback entries for an Amazon seller: star ratings, comment text, and dates — filterable by rating range and time period. This is the reputation deep-dive tool.

Use this tool when the user wants to read actual buyer comments about a seller, analyze complaint patterns, or audit service quality. For aggregate reputation scores (30/90/365-day percentages) without individual comments, get_seller_profile is sufficient and cheaper in context.

Each page costs 1 credit. To find dissatisfied customers, set max_rating to 3 instead of paging through everything.

List all Easyparser operations available in this server, with their parameters, credit costs, and example use cases. Works WITHOUT an API key — call this first to understand what the server can do, or when you are unsure which tool fits the user's question. Also returns the list of supported Amazon marketplace domains.

List the user's bulk extraction jobs with their progress: operation, domain, status, total/completed/failed/invalid item counts, and timestamps. This reads the SAME data as the Bulk Requests page in the Easyparser web app — so it can see and track jobs the user started from the app UI, not just jobs submitted through this MCP server.

Use this tool when the user asks about their bulk jobs: "is my job done?", "what bulk jobs are running?", "did the DETAIL batch finish?". Each row includes a group_id — pass it to get_bulk_job_items to drill into individual items, or to get_bulk_webhook_logs to check webhook deliveries.

Statuses: pending (queued), processing (running), completed (all items succeeded), partial_success (some items failed or were dropped — check failed_items/invalid_items counts), failed. This tool is free of per-call credits (monitoring endpoints do not consume credits).

Inspect the individual items inside a bulk job: each item's input value (ASIN, keyword, seller ID...), its status (success/failed/invalid/pending/processing), error message if it failed, credit cost, and completion time.

Use this tool to debug a job after list_bulk_jobs shows failed_items or invalid_items > 0 — filter with status='failed' or status='invalid' to see exactly which inputs failed and why. Use search_key to locate one specific ASIN inside a large job. The item's item_id can be used with the Data Service (GET /v1/queries/{id}) to fetch its parsed result.

This tool is free of per-call credits (monitoring endpoints do not consume credits).

Fetch the parsed result data of a single bulk job item — the actual Amazon data that item produced (product detail, search results, seller profile, etc., depending on the job's operation). This is the same data shown in the item result modal on the Bulk Requests page of the web app.

Use this tool after get_bulk_job_items, when the user wants to see the DATA behind a specific item, not just its status. Typical flow: list_bulk_jobs → get_bulk_job_items → get_bulk_item_result.

IMPORTANT: bulk results are retained for 24 HOURS after the job completes, then they expire. If the item's data has expired, the tool returns a clear message — suggest re-running that item through the matching real-time tool (e.g. get_product_detail for a DETAIL item) to regenerate the data. This tool is free of per-call credits.

Check webhook delivery logs for bulk jobs: whether the completion notification was delivered to the user's callback_url, delivery status, and timestamps. Use this when a job shows as completed but the user's system never received the webhook — the classic "job finished but my integration didn't fire" debugging case.

Scope to one job with group_id (from list_bulk_jobs), or omit it to scan recent deliveries across all jobs. This tool is free of per-call credits.

List the user's API request error logs — the same data shown on the Errors page of the Easyparser web app. Covers both real-time API errors and bulk job errors: each row has the platform, operation, domain, error code, channel (BULK/REALTIME), the request parameters that caused it, and a timestamp.

Use this tool when the user asks about failures: "why are my requests failing?", "show me recent errors", "any webhook errors today?", "what went wrong with my DETAIL calls?". Filter by error_channel (BULK or REALTIME), error_code, operation, or domain to narrow down. Each row includes a request_id and the query_params that triggered the error, so you can trace exactly which input failed.

This tool is free of per-call credits (monitoring endpoints do not consume credits).

Check the Easyparser account: current plan, credit balance (used/remaining/limit), credit reset date, per-minute rate limits, and this month's daily usage breakdown by operation. FREE — this calls the Account API and consumes no credits.

Use this before running expensive multi-page or 12-month-history jobs, when the user asks about their quota or plan, or to analyze usage patterns (e.g. 'which operation consumed the most credits this month?'). Requires an API key.