Ecommerce Data API
Ecommerce Data API provides structured Amazon ecommerce research data through REST APIs and an MCP server, covering products, keywords, markets, sales estimates, reviews, traffic and trademarks. It is designed for developers, SaaS workflows, sellers and AI agents that need comparable public-marketplace data without a seller account.
At a Glance
- Amazon and cross-border ecommerce sellers
- Developers and API integrators
- SaaS and workflow-product teams
- AI-agent builders and MCP users
- +1 more
AI Tools by Ecommerce Data API
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Ecommerce Data API
Amazon Data API and MCP Server
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Latest News
Claude Code plugin moved into its own folder and bundled with the remote MCP server and Agent Skill
Public GitHub repository v1.0.0 release
Initial public release of remote MCP details, server.json and Agent Skill
Published guidance on preparing Amazon Q4 inventory using 12-week search trends
Products & Services
Pay-per-call and subscription API for Amazon product details and search, sales estimates and trends, keywords and reverse-ASIN research, reviews, traffic, market analytics, global trademarks and image text recognition. The documentation exposes a broad catalog of public endpoints across Amazon marketplaces and additional TikTok Shop operations.
Streamable HTTP MCP endpoint at https://ecommercedataapi.com/mcp, using OAuth 2.1 with PKCE or API-key authentication. It exposes individual business tools plus generic discovery/account tools for compatible AI clients.
Public GitHub skill/plugin that teaches agents to search the API catalog, inspect schemas, construct requests from published parameters, confirm before high-volume calls and use the remote MCP connection.
Market Position
Ecommerce Data API positions itself as an agent-first, pay-per-call alternative to seller-research suites and seller-account MCP servers: it can answer public-market questions about arbitrary ASINs, keywords and categories without access to a seller account, while combining product, keyword, market, review, traffic and trademark workflows under one schema and balance. Comparable alternatives identified in third-party research include Amazon Online Data API, Easyparser, Canopy API and Seller Assistant; Seller Assistant and similar seller tools emphasize account-connected operations, whereas Ecommerce Data API emphasizes public-market research and MCP/REST interoperability.
Leadership
Founders
Cloudy
Public launch-directory profiles identify Cloudy as the founder/creator and publisher of Ecommerce Data API. The project's GitHub organization has one public repository and its only listed contributor is the GitHub account cloudyliu930; no prior roles or companies are publicly documented in the sources reviewed.
Executive Team
Cloudy
Founder / creator
Identified by launch-directory profiles as the founder and publisher of Ecommerce Data API; also the only listed contributor on the project's GitHub repository.
Founding Story
The project was built around an agent-first approach to Amazon market research: provide one consistent API/MCP connection for public ASIN, keyword and category questions, rather than seller-account data. Its repository describes the initial public release as a remote MCP server plus an Agent Skill, with discovery tools that let an agent find and describe an endpoint before making a billable call.
Business Model
Revenue Model
Usage-based API access sold through one-time call packs and recurring monthly or yearly subscriptions. MCP and REST share the same credit balance; there are no per-seat fees, and successful billable requests generally consume one call unless an endpoint specifies otherwise.
Pricing Tiers
900 API calls per month; access to every public endpoint; unused subscription calls do not roll over.
3,500 API calls per month; access to every public endpoint; advertised as the most popular plan.
10,000 API calls per month for teams and batch pipelines; access to every public endpoint.
Five test calls for new accounts after email verification, valid for three days according to the official pricing page.
Target Markets
- Amazon and cross-border ecommerce sellers
- Developers and API integrators
- SaaS and workflow-product teams
- AI-agent builders and MCP users
- Market researchers and ecommerce consultants
- Amazon product and niche research
- Keyword discovery, search-demand analysis and reverse-ASIN research
- Competitor, review, traffic-source and market-structure analysis
- Sales and revenue estimation from public marketplace signals
- Building ecommerce SaaS products, batch pipelines and internal research tools
- AI-agent workflows through MCP, Claude, ChatGPT, Cursor or Codex