Build repeatable competitor comparisons from product details, sales trends, related products, traffic, and market structure.
Create comparable competitor profiles from product, sales, price, traffic, review, and listing evidence. Keep observed facts separate from interpretation so recommendations remain auditable.
Match product type, price band, audience, use case, and fulfillment context.
Use one comparison schema for product, sales, reviews, traffic, and content.
Label observed data, inferred strategy, and unanswered questions explicitly.
Rank product, listing, pricing, traffic, and review opportunities by impact and effort.
Filter by verification, permission, client, and pricing, and review the original source before installation.
/v1/amazon/asin/competitorRetrieve comparable product records for an ASIN.
/v1/amazon/asin/sales-trendRetrieve sales trend data for an ASIN.
/v1/amazon/traffic/listing/pageRetrieve related products and traffic positions for ASINs.
Use enough to represent direct leaders, close substitutes, and emerging challengers without mixing unrelated products.
No. Traffic patterns are evidence, not proof of intent; validate with listing, price, review, and campaign context.
The main directory combines task search with structured filters.
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Discover, inspect, and call live Amazon product, keyword, market, traffic, review, and trademark APIs from supported AI coding agents.
Create or audit Amazon listings with product facts, keyword coverage, competitor context, conversion copy, and an eight-dimension review.
Connect market screening, product selection, unit economics, listings, PPC, inventory, launch, growth, and stop-loss decisions into one operating workflow.
Evaluate demand, competition, profit potential, entry barriers, sourcing, and go-to-market assumptions for an Amazon product idea.
Compare target markets, fulfillment models, taxes, payment preferences, localization requirements, and phased international expansion options.
Interpret search frequency, market basket, item comparison, and demographic evidence for Amazon brand decisions.
Compare Amazon competitors across listings, pricing, reviews, advertising, positioning, and product weaknesses.
Identify underserved Amazon segments by comparing demand, competition, margins, growth, market gaps, and entry constraints.
Design Amazon repricing rules, Buy Box objectives, competitive pricing analysis, margin protection, and approval boundaries.
Estimate Amazon monthly sales and revenue from BSR, ASIN, price, category, or keyword market context across multiple modes.
Plan TikTok Shop market entry, logistics, localization, creator operations, tax, compliance, and international rollout.
Collect browser-visible Amazon search-result fields such as rank, title, price, rating, review count, sponsored status, and source URL through BrowserAct.
A hosted ecommerce AI agent positioned for product research, ASIN analysis, listing improvement, visuals, and structured seller workflows.