Doe gives you the complete Amazon data layer — every metric, clean and AI-ready — so your AI runs on your terms.
GitHub Copilot already answers your questions, writes code, and opens PRs through Workspace. It just can't see your Amazon. Until you wire DataDoe in.
Copilot autocompletes perfect TypeScript across VS Code, JetBrains and Visual Studio. Point it at your Amazon stack and it stalls — suggesting SP-API calls that don't exist, completing types from outdated docs, autocompleting mock fixtures instead of real data.
DataDoe ships an MCP server + npm SDK that Copilot Chat, inline completions and Copilot Workspace all consume. Live Amazon underneath every keystroke — across every IDE your team already runs.
One link. Five minutes. Every IDE your team uses gets live Amazon.
One click. Every Seller, Vendor and Ad account flows into DataDoe — across every marketplace and brand.
Drop your DataDoe MCP URL into VS Code, JetBrains or your Copilot Workspace settings. Every surface wires up at once.
Inline autocomplete and Chat for live work. Copilot Workspace for spec-to-PR async runs. Both wired to your Amazon.
Open Copilot Chat in VS Code, JetBrains or Visual Studio. Type @datadoe and Copilot queries and acts on your live Seller Central, Ads, Vendor and profit data through MCP — every answer grounded in real numbers, not docs.
Inline completions improve too. Start typing a query against your orders or campaigns and Copilot autocompletes against the actual schema your business runs on.
Three months of SP-API plumbing — already shipped to npm, already in your editor.
{ asin, units, revenue, fees, cogs, net }[] — types pulled live from your DataDoe workspace.
Hand Copilot Workspace a spec — "build a profit dashboard for our top 3 brands" — and it plans, edits, tests and opens a PR against your repo. With DataDoe wired in, every step runs against your live Amazon, not a fixture.
The kind of work that used to be a Sunday afternoon. Now it's an issue at 6pm and a code review at 9am.
GitHub-native. Sandboxed. Reviewed by your team.
If your team already pays for Copilot Business or Enterprise and works across multiple IDEs, DataDoe extends every seat into your Amazon business — without changing tools.
Java backend in IntelliJ, React frontend in VS Code, mobile in Xcode — Copilot lives in all of them. DataDoe MCP wires the same live Amazon data into every editor your team picked.
You're paying for Copilot Business or Enterprise. DataDoe extends those seats into your Amazon stack — same compliance, audit logs and content filters apply to every Amazon-aware completion.
Every change is a PR, every merge is a deploy. Copilot Workspace ships against your existing branch protections and review process — DataDoe lands the data, your team approves the merge.
You run engineering at an 8–9 figure brand. Copilot lives in your team's editors all day. DataDoe makes every chat, every completion, every PR aware of your real Seller Central numbers.
Once Copilot has your live Amazon data and your GitHub repo, the Amazon SaaS your team relies on becomes a Copilot Workspace task. Built by an agent. Reviewed by your team. Owned forever.
| Copilot alone | Copilot + DataDoe | |
|---|---|---|
| Your data | Mocks, stubs, paste-ins | Live MCP — every Amazon account, always on |
| Inline completions | Suggests fields that don't exist | Autocompletes against your real schema |
| Copilot Chat | Answers from public docs | Answers from your live Amazon numbers |
| SP-API | Copilot generates plumbing, you debug | Pagination, rate limits, settlement timing — solved |
| Profit math | Copilot guesses, you verify | Reconciled true profit out of the box |
| Workspace tasks | Spec to mocked PR | Spec to PR wired to live Amazon |
| Multi-IDE | Same blindness in every editor | Same live data in every editor |
| Multi-account | Per-account integration each time | One unified MCP across brands and marketplaces |
| Setup | Weeks of plumbing | One paste in mcp.json. 15 minutes. |
Real prompts. Real PRs. Both surfaces ship against your live data.
Copilot Chat in your editor for live, you-watching work.
@datadoe what's our true net margin on the top 20 ASINs this quarter?
@datadoe write me a TS function to flag SKUs trending below margin floor
@datadoe why did the EU dashboard break — VAT split looks wrong?
@datadoe explain how settlements affect this quarter's profit total
Copilot Workspace for spec-to-PR async work, reviewed in GitHub.
Build a profit dashboard for our top 3 brands. Open a PR.
Audit our entire UK catalog for missing A+ content. Score each.
Replace Sellerboard with our own internal app.
Wire our Amazon profit numbers into our existing Slack daily-digest bot.
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.
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