DataDoe is the Amazon data layer — every metric clean, structured, and AI-ready. It turns fragmented data from Amazon and beyond into a single model your AI tools can understand and act on. Use the prebuilt analytics, ask questions in plain English, or build your own apps and automations through MCP and API.

Amazon sellers, vendors, agencies, developers, and print-on-demand operators. Each role has a dedicated solution: Sellers, Vendors, Agencies, Developers, POD Sellers, and AI Builders.

Under 5 minutes. Authorize Amazon, data starts flowing, reports start populating. No onboarding call required.

No. If you just want insights and recommendations — you're good on day one. If you want to build agents and automations — MCP and API are waiting. Most users start as operators and end up as builders.

Day one: you see your real profit, get AI recommendations, and set up alerts. Day two: you connect Claude, build an internal tool, automate your reports, or ask your data anything. It's the first Amazon platform where the ceiling is yours to set.

A complete Amazon data layer built around three pillars: Foundation — orders, ads, fees, and performance combined into one clean structure. Access — connect to BI tools, spreadsheets, internal systems, or AI platforms. Control — build apps, automations, and tools using your own data instead of someone else's assumptions.

Instant answers from your data — real profit, ads performance, and full e-commerce metrics across your business, all without building dashboards yourself. Read more on AI Analytics.

The unified, AI-ready foundation underneath everything DataDoe does. Analysts use it through prebuilt analytics, builders use it through MCP and API, ops teams use it through scheduled exports. Read more on Data Layer.

Yes. Vendor Central data is fully supported alongside Seller Central — Ads, retail data, and 1P-specific metrics in one unified data layer. See Vendors.

Yes. Unify client data, automate reports across accounts, connect to any AI tool, and build agency-specific tools on one Amazon data layer. See Agencies.

Yes. Thanks to access to order and customer data (including PII), we can set up a number of automations for you, such as print files generator, or shipping labels automation — built specifically for Amazon POD sellers running custom products. See POD Sellers.

The Changelog tracks every release with dates and details.

The Blog covers Amazon SP-API, MCP, AI workflows, analytics, and tutorials for sellers, vendors, agencies, and developers.

Claude, ChatGPT, Cursor, Codex, Gemini, GitHub Copilot, n8n, Make, Slack — anything with MCP or API. Connect DataDoe once and your entire stack gets access to your Amazon data.

They do. So do a few others. We tested them all. Raw API access dressed up as MCP — multiple approvals, retries, incomplete data, hit limits. DataDoe MCP pulls instantly, returns structured results, and generates insights. Full comparison at DataDoe vs Amazon MCP.

Yes — full coverage of both, in one MCP server. Amazon's official MCP only covers the Ads API.

Yes. One token works across every supported tool. Many users connect Claude on desktop, ChatGPT on mobile, Cursor for engineering — all reading the same data.

Yes. The AI Builders solution is built for that — agents, automations, and custom tools on top of your data through MCP and API. No backend, no complexity.

Most tools give you a dashboard and call it done. DataDoe is what you plug everything else into. Analytics and AI insights are already there when you start. MCP and API are there when you want to build something no one else has.

$97/month after a 7-day free trial. Single transparent plan, no tiers. See Pricing.

Yes. 7 days free to try the full product. If it's not the best decision you made this year, you can cancel anytime.

No. Cancel anytime.

Every integration. Full onboarding support. AI analytics, MCP and API access, Amazon-audited infrastructure. The full feature set, no upsells.

Yes — for larger organizations with dedicated support, custom compliance, and team-wide access. See Enterprise.

Yes — and we can prove it. DataDoe has passed Amazon's full security audit and is one of the few platforms with access to Amazon's Personally Identifiable Information (PII). See Security for the full overview.

Yes. Amazon-audited security with verified PII access. We're authorized for Amazon's restricted Personally Identifiable Information process — the audit most platforms fail.

You do. DataDoe holds your data on your behalf to provide the service. You can export at any time and revoke access in one click.

Yes. One click in DataDoe settings or directly in Amazon Seller Central. Access stops immediately.

Per Amazon's required policy. PII is treated under Amazon's restricted data process — access is logged, controlled, and purged on Amazon's required schedule.

Yes. Every request, every user action, every export is logged. See Security for details on access controls and audit logs.

Orders, ads, fees, performance, inventory, search terms, listings, and customer data (including PII where authorized). All combined into one clean, AI-ready structure.

Yes. Both 3P (Seller Central) and 1P (Vendor Central) data are fully supported, including hybrid setups.

Refreshed continuously through Amazon's APIs. Reports always reflect the latest available data when you query.

Yes. Connect to BI tools (PowerBI, Tableau, Looker), spreadsheets (Sheets, Excel), internal systems, or AI platforms. Or pull through API and MCP.

Yes. Connect DataDoe MCP to Claude Desktop, Claude Code, or any Claude integration. See Connect Claude.

Yes — through MCP. See Connect ChatGPT.

Yes. Connect MCP in your IDE or CLI and query Amazon data while you build. See Connect Cursor and Connect Codex.

Yes. See Connect Gemini and Connect GitHub Copilot.

Yes. DataDoe connects to n8n, Make, and any tool that supports MCP, API, or webhooks.

Yes. Slack alerts, scheduled summaries, and full BI integration with PowerBI, Tableau, and Looker.

A team focused on Amazon marketplace infrastructure, with years of building SP-API integrations before launching DataDoe. Read the full story on About Us.

DataDoe Inc. is registered in Delaware, US, with a main tech HQ in Poznań, Poland. Our team is also present in Warsaw (PL) and Bangkok (TH). See About Us.

Yes. Custom compliance, dedicated support, and team-wide access for larger organizations. See Enterprise.

Sign up at Pricing for the trial. For enterprise, partnership, or workshop inquiries, Book a demo.