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DataDoe

DataDoe provides a secure data and action layer that unifies Amazon Seller, Vendor, and Ads data into 100+ clean, AI-ready tables, enabling any AI assistant to analyze live business data and execute approved actions like repricing or listing updates. The platform connects via MCP or REST API to tools like ChatGPT, Claude, and Gemini, with all write operations previewed and approval-gated for safety. It includes a flat $97/month plan with 10 million data rows and 2,000 AI tokens.

HQ unknown
Founded 202511200+ followers
  • Artificial Intelligence
  • AI Agents
  • Data & Analytics
  • Commerce & Shopping
  • Software Only
Updated 4 days ago

Funding

Funding rounds are not available yet.

Founders

Founder details are not available yet.

Product

Problem

Amazon sellers and agencies struggle to get actionable insights from their business data because it is scattered across Seller Central, Vendor Central, and Amazon Ads in raw, unstructured API formats. General-purpose AI tools like ChatGPT and Claude cannot directly access or act on this data, leaving sellers to manually pull reports, analyze spreadsheets, and execute changes across multiple platforms.

Solution

DataDoe creates a unified data layer that normalizes all Amazon data sources into 100+ structured, AI-ready tables covering orders, ads, inventory, fees, listings, and more. The platform connects to any AI assistant via Model Context Protocol (MCP) or REST API, allowing users to query live business data in plain English and receive accurate, structured answers. Beyond analysis, DataDoe enables AI to execute actions directly on Amazon accounts—such as repricing SKUs, updating listings, managing PPC campaigns, and canceling orders—with every write operation previewed and approval-gated for safety. The data layer is refreshed daily, retains up to two years of history, and is designed to minimize token usage for faster, cheaper AI interactions.

Target Audience

Primary customers are Amazon sellers, vendors, and agencies who want to leverage AI for daily operations, as well as AI builders and developers creating custom tools and automations on top of Amazon data.

Features

  • 100+ normalized Amazon data tables spanning Seller Central, Vendor Central, and Amazon Ads, including sales, orders, settlements, campaigns, search terms, FBA inventory, buy box offers, and brand analytics
  • MCP server and REST API endpoints that work with any AI client including ChatGPT, Claude, Gemini, Cursor, and Codex
  • Write-back Actions that let AI execute real changes on Amazon—repricing, listing edits, PPC adjustments, order cancellations—with preview and approval gating
  • Daily data refresh with up to 2 years of backfilled history, exceeding Amazon's native API retention windows
  • BigQuery integration for querying from a customer's own data warehouse
  • AES-256-GCM encryption at rest, TLS 1.3 in transit, MFA enforcement, and least-privilege IAM with quarterly access reviews
  • No AI/ML training on customer data; buyer PII is opt-in and retained no longer than 30 days after order delivery per Amazon SP-API policy
  • Pre-built Skills and setup guides for major AI platforms, enabling non-engineers to build custom tools, dashboards, Slack bots, and automations
This profile is AI-generated and may contain inaccuracies.