·  54 tools on record  ·  297 archived pricing pages  ·  data synced 2026-10-31Methodology  ·  How we earn money
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Seller Tools Index.Receipts for seller software

DataDoe

DataDoe is filed under MCP & AI agents: what an agent can read or change. We hold 3 archived copies of its pricing page with prices on it, from Nov 8, 2025 to May 11, 2026.

In short

As of Oct 30, 2026, the cheapest DataDoe plan a single seller can buy without a sales call costs $97 per month, checked by hand against datadoe.com. We hold 3 archived copies of the DataDoe pricing page with prices on it, from Nov 8, 2025 to May 11, 2026. 1 MCP server connects AI agents to DataDoe as of Oct 31, 2026; it exposes tools that can change data.

Record last checked . How we check

Entry price, checked against the source

$71.78$97$122.2220252026$97
Cheapest plan a single seller can buy without a sales call, billed monthly, USD. Each dot links to the archived page we checked.

Archived pricing pages

$26$39$5220252026$29

machine-read Read by a script from the pricing page text, not checked by a person. Scripts misread promo lines, add-ons and per-seat fees, so treat it as a lead, not a price. The line is not coloured for that reason. Each dot opens the archived copy, so you can check it yourself.

Archived onWhat our script foundEntry figureCopy
May 11, 2026Prices found5 price strings$29 machine-readweb.archive.org
Feb 10, 2026Prices found6 price strings$29 machine-readweb.archive.org
Nov 8, 2025Prices found5 price strings$49 machine-readweb.archive.org

Price strings on the pricing page today

machine-read Read on Oct 30, 2026 from the live pricing page1. We quote the text each figure came from. None of these is a checked price.

Plan as readFigure, machine-readBilling as readText on the page
free for 14 days$97per monthThe Base Plan $97 /month Unlimited Amazon connections
Scale your data$49per 10mCapacity is added automatically in 10M blocks as you grow, and you stay in control. +$49 per 10M data rows Bring your whole team
Scale your data$29per month, per seatEvery seat gets full access. No read-only tiers, everyone sees the same numbers. +$29 per seat, per month Go heavier on AI
Scale your data$0Not publishedGo heavier on AI Extra tokens are opt in only and never automatic. The default limit is $0. $0.04 per extra token, opt in
Scale your data$0.04Not publishedExtra tokens are opt in only and never automatic. The default limit is $0. $0.04 per extra token, opt in Unlock buyer data
Unlock buyer data$49per monthOrder level buyer name, shipping address and contact details, by request. +$49 per month Plug into BigQuery
Free to enable$97Not publishedPricing questions? Answered. What the $97 covers, how AI tokens and data rows work, and when you would ever pay more. Still have a question?
Send us a message$97per monthHow much does DataDoe cost? One plan at $97 per month with a 14-day free trial. It covers the Amazon Seller MCP, the REST API, BigQuery access, 130+…

What changed

No changes on record yet. Our daily check compares the pricing, changelog and help pages; anything it finds appears here and in the change log, marked unverified until a person has checked it.

AI agent access

  • DataDoe MCP write name basedvendor, 47 tools on record, 17 can change data

The inspection report lists every tool the server exposes and how we established read or write access.

DataDoe: questions and answers

How much does DataDoe cost?
The cheapest DataDoe plan a single seller can buy without a sales call costs $97 per month, billed monthly. We checked it by hand on Oct 30, 2026 against datadoe.com. Prices change, so confirm on the vendor's pricing page before you buy.
Has DataDoe raised its prices?
No price change checked by hand is on record for DataDoe as of Oct 31, 2026. We hold 3 archived copies of its pricing page from Nov 8, 2025 to May 11, 2026, which you can open from this page.
Can an AI agent connect to DataDoe?
Yes. 1 MCP server is on record for DataDoe (DataDoe MCP). It exposes tools that can change data, not only read it. Each inspection report lists every tool and how we established read or write access.