Doe gives you the complete Amazon data layer — every metric, clean and AI-ready — so your AI runs on your terms.
Codex is OpenAI's coding agent. With DataDoe wired in, every PR it opens ships against your real Amazon data — not mocks.
DataDoe is the data layer that bridges your entire Amazon business — Seller Central, Advertising, Vendor Central, and SP-API — to Codex via MCP, the open standard for connecting live data to AI. Connect your Amazon accounts once, drop the DataDoe MCP URL into your Codex CLI config (~/.codex/config.toml) or Codex Cloud workspace, and every Codex run sees your real, live Amazon data.
Yes — both surfaces. Codex CLI (open-source, runs in your terminal) and ChatGPT Codex Cloud (async agents in sandboxed VMs) consume the same DataDoe MCP server. Set up once, available everywhere Codex runs.
Model Context Protocol is the open standard for connecting live data sources to AI agents. Codex supports MCP natively — paste a server URL once and every Codex task gets typed access to that data source. DataDoe runs as an MCP server, so Codex reads your Amazon data securely without API keys, copy-paste, or custom plumbing.
Yes. Codex Cloud runs sandboxed agents for hours at a time. With DataDoe connected, you can fire off "build me a forecasting model from a year of orders" before logging off, and wake up to a finished PR. Long-running analysis, multi-strategy A/B tests, and full catalog audits all run async — no babysitting required.
DataDoe is Amazon-audited and SP-API compliant. Your data flows through secure OAuth and an authenticated MCP endpoint, isolated per tenant. Codex sandboxes each agent run in its own ephemeral VM — when the task finishes, the environment is destroyed. OpenAI never owns or trains on your business data.
Same underlying DataDoe MCP — different agent strengths. Cursor is editor-first (interactive autocomplete, Composer in your IDE). Claude Code is local CLI with Anthropic's models. Codex is OpenAI's models with cloud-hosted async execution and parallel agents — best when you want long-running tasks shipped as PRs while you do other things.
Yes. DataDoe handles multi-account, multi-brand, multi-marketplace setups natively. Vendor Central, Seller Central, and Advertising accounts unified into one MCP endpoint. Agencies use it to ship custom internal tools across dozens of client brands. B2B SaaS startups use it to skip the 6-month SP-API integration sprint entirely.
About fifteen minutes. Connect your Amazon accounts via one-click OAuth (~2 min), drop the DataDoe MCP URL into your Codex CLI config or Cloud workspace (~30 sec), then run your first task. No engineers required for the integration itself.
SP-API is messy — pagination, rate limits, eventual consistency, settlement reports that arrive late, undocumented schema quirks. Building a production client is a 3–6 month project. DataDoe is that client, already built, audited by Amazon, with reconciled profit and a typed SDK on top. Skip the plumbing, build features instead.
Codex Cloud lets you fire multiple agents simultaneously — each in its own sandbox, all reading the same DataDoe MCP. So you can test five different repricer strategies against your real margin data overnight, or run a forecaster, a dashboard rebuild, and a listing audit in parallel. Five PRs by morning, picked from real outcomes.
Every integration. Full onboarding support. If it’s not the best decision you made in 2026, you can cancel anytime.
Know what makes you money
Catch problems instantly
Connect anything with API & MCP
Replace tools with your own apps
Access Amazon-audited infrastructure
Every integration. Full onboarding support. If it’s not the best decision you made in 2026, you can cancel anytime.