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DataDoe alternative for sellers who decide hourly, not daily

DataDoe ships clean Amazon tables, refreshed once a day. Nova ships a reconciled P&L, refreshed every hour, with the costs and tags Amazon has never held.

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Nova MCP connector toggled on inside Claude's connectors panel

Your assistant, connected to live Amazon data

Line by line

Nova vs DataDoe, on the eight things that decide the answer.

01Data accuracyNova

Nova

99.8% guaranteed. 370 Amazon transaction lines reconciled into 154 P&L lines, the best data model on the market

DataDoe: Clean tables. Fee reconciliation depth not documented publicly

02Data freshnessNova

Nova

Several times a day on every data point, up to every 30 minutes on the most crucial metrics such as a lost Buy Box

DataDoe: One clean data layer, refreshed daily

03Data coverageParity

Nova

SP-API, Amazon Ads, Search Query Performance, Vendor Central in beta. Catching up fast

DataDoe: Six Amazon APIs including Vendor Central and Marketing Stream

04Token consumptionNova

Nova

Structured tables and pre-aggregated metrics. No compute left on the Claude or GPT side

DataDoe: Normalized raw tables, the assistant does the aggregation

05SKU cost allocationNova

Nova

Profitability to the cent at SKU level, attributed unit by unit

DataDoe: Not documented publicly

06Smart data enrichmentNova

Nova

COGS per SKU, FBM cost, 24 months of backfilled history, your own tagging and segments

DataDoe: Not documented publicly

07Speed of answersNova

Nova

Lightspeed. One question answered in one low-token call against a structured table

DataDoe: Most queries return in under three seconds

08Marketplace coverageNova

Nova

21 Amazon marketplaces with currency-normalized reporting across accounts and regions

DataDoe: Marketplace count and cross-market currency normalization not documented publicly

If you want a data layer, stick with DataDoe. If you want a decision layer, on data that is actually fresh, try Nova.

Why Nova is unique

The MCP is not the product. The data model is.

Connecting an MCP server to Amazon's APIs is trivial. Anyone can ship one in a weekend. What decides whether your assistant is useful or confidently wrong is the model behind it.

  1. 01

    Accurate to the cent, at SKU level

    370 Amazon transaction lines mapped and reconciled into 154 P&L lines, then attributed down to the unit. Not an estimate of profit, the actual number.

  2. 02

    Refreshed several times a day

    Orders and financial transactions every hour, Sponsored Products three times a day, FBA stock every 8 hours. Your assistant answers on today, not yesterday.

  3. 03

    Coverage with no blind spots

    SP-API, Amazon Ads, Search Query Performance and Vendor Central in one model. A gap in coverage is a wrong answer with a confident tone.

  4. 04

    Enrichment Amazon has never held

    COGS per SKU, FBM cost, VAT category, your tags and segments. Entered in Nova, and read by the assistant like any other field.

  5. 05

    The dashboards and the AI, one model

    The most flexible Amazon cockpit on the market and the firepower of Claude, served by the same services. Nova is the only player doing both properly.

The data model

Every Amazon data point your assistant can query.

477 data points across sales, profitability, PPC campaigns, ad groups and keywords, customer search terms, search query performance (SQP), Best Seller Rank, fees, refunds, FBA stock health, listing health, and your own cost inputs. All available over MCP.

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Going live right now

Read-only was the right place to start, because an action is only as good as the P&L behind it. These are shipping as you read this.

Beta

Vendor Central

1P data rolling out now, next to Seller Central and Ads.

In progress

Write actions, first wave

Data enrichment, listing optimization, PPC management.

In progress

Write actions, next wave

Buy box auto-detection, automatic review and Q&A responses, refunds and reimbursements.

Loved by Amazon sellers worldwide

Verified 5-star reviews on Trustpilot and Reddit.

The P&L view captures everything Amazon-related

The P&L view is the big one. It captures everything Amazon-related with the granularity to track down every unexpected expense, giving me a real profit statement I can run the business off of. No more guessing margins or waiting for end-of-month reconciliation.

Yano profile

Yano

🇺🇸
Read on Reddit

Just go for it. You won't regret it

The Nova team has built something truly special. The days of clunky Looker Studio dashboards are over. They are communicative and collaborative, and work hard to make the platform as helpful as possible for their users.

Josh Grillo profile

Josh Grillo

🇺🇸
Read on Trustpilot

Exactly the kind of tool e-commerce needed

Nova is exactly the kind of tool the e-commerce industry has needed for a while. Fast-moving, responsive, and adding value to every Amazon business at every turn. The team is always open to hearing feedback and new ideas.

Steve H profile

Steve H

🇬🇧
Read on Trustpilot

A great team to work with

We had a great experience working with the Nova team. They were incredibly responsive, helpful and professional, and truly committed to improving the tool in ways that made it both simple and genuinely useful. It felt like they were invested in our success.

Jessica Christensen profile

Jessica Christensen

🇺🇸
Read on Trustpilot

Nova is great

Nova keeps us up to date across all of our client accounts and provides a unique set of analytics. The data is live, which lets us make quick decisions faster than with other tools. The events feature is excellent for logging listing changes and running lift tests.

Alexandr Kachurovskyi profile

Alexandr Kachurovskyi

🇩🇪
Read on Trustpilot

Replaced hours of reporting with one dashboard

I manage multiple brands and Cockpit, P&L and Day-to-Day are now part of my daily workflow. What used to take hours across multiple tools I now see in one place. Antoine and Maxime are clearly building this with real seller challenges in mind, and they listen.

Jake Zaratsian profile

Jake Zaratsian

🇺🇸
Read on Trustpilot

Top notch customer support

The team is genuinely responsive; they actually listen to concerns and implement suggestions into the tool, which is a big part of what makes it so powerful. The UI is clean and managing multiple accounts across marketplaces finally feels organized.

Angelo Raymundo profile

Angelo Raymundo

🇵🇭
Read on Trustpilot

A dependable solution for Amazon sellers

We use Nova to manage and analyze our Amazon marketplace data across multiple accounts and regions. Clean interface, useful business insights, and strong visibility into KPIs. Support is proactive and continuous improvements keep landing. Highly recommended.

Ashish Chaudhary

🇮🇳
Read on Trustpilot

A robust instrument with competitive pricing

After a couple of months on Nova, the platform delivers outstanding value. As an agency managing a diverse portfolio of sellers, Nova made onboarding and overseeing multiple merchant accounts effortless. The data centralization streamlined our day-to-day.

Pavel Zadorozhnyi

🇪🇸
Read on Trustpilot

Highly recommended

Running an agency that manages a large portfolio of Amazon brands, what we value most is the people. Nova has been a real partner from day one, adapting to how we work. Multi-store management sits in one clean place and the team actually listens to feedback.

Nimrod

🇺🇸
Read on Trustpilot

Connect it to Claude or ChatGPT

It is a connector, not a project. Minutes to set up, and it works in Claude desktop and web, ChatGPT, Gemini and any MCP-ready assistant.

Run Nova next to DataDoe in under an hour

You keep your history. Share your exports and our team handles the rest, so you start with your full history intact on day one.

  1. Step 1

    Connect Amazon

    OAuth into Seller Central and Amazon Ads. About 5 minutes per account, read-only access, nothing changes on Amazon's side.

  2. Step 2

    Import your COGS

    Upload your cost of goods as a CSV, once. Nova applies it across 24 months of backfilled history, period by period, and the assistant can audit it for placeholders, negatives and per-lot mistakes.

  3. Step 3

    Run both for 14 days

    Keep DataDoe running while Nova backfills 24 months of history. Compare the numbers against a real settlement statement before you decide anything.

Simple, transparent pricing

Start free. Scale when you're ready.

14-day free trial • No credit card required • Cancel anytime

Sellers & Brand Owners

Full analytics. All marketplaces.

Starting at$29/month
Start 14-day free trial
  • Profit & loss analytics
  • PPC Analytics
  • Custom breakdowns
  • Buy Box %
  • BSR Tracker
  • Returns Analytics
  • Consolidated Data Exports
  • Priority support
Enterprise & Agency

Unlimited accounts. Dedicated support.

Custom
  • Unlimited orders
  • Unlimited accounts
  • Unlimited team seats
  • Advanced User Management System
  • Client-first view
  • Dedicated account manager
  • Custom data exports
  • SLA guarantees

DataDoe alternative: frequently asked questions

The questions sellers ask before they switch.

Nova pulls orders and financial transactions hourly, Sponsored Products three times a day and FBA stock every 8 hours. DataDoe's site describes its unified layer as "100+ clean tables, refreshed daily", and separately lists Amazon Marketing Stream for real-time sales and ad events.
Vendor Central is in beta and rolling out now, alongside Seller Central and Amazon Ads across 21 marketplaces. If you sell 1P, ask us for beta access when you start your trial.
Not yet. Nova is read-only today, and write actions are in progress: data enrichment, listing optimization and PPC management first, then buy box auto-detection, automatic responses to reviews and Q&A, and refunds and reimbursements. They ship on top of a P&L that is already reconciled, which is the part that decides whether an action is the right one.
Your cost of goods per SKU, with per-lot versus per-unit handling, your FBM merchant-fulfilment cost, your VAT product category, and your own taxonomy of tags. Amazon holds none of it, so without it there is no profit, only revenue.
370 distinct Amazon transaction lines are individually mapped and reconciled, collapsing into 154 normalized P&L lines. 187 of those appear in both the settlement report and the Finance API under different names and must be reconciled or they double count. 183 exist only in the Finance API and never appear in the settlement report at all.
Yes. Nova exposes the configured cost inputs to the assistant, so you can ask it to audit your setup. It surfaces placeholder values, negative costs, a cost entered per lot when it should be per unit, missing VAT categories and SKUs with no COGS at all.
Nova is a modelled layer, not a table dump, plus scheduled exports to Sheets, Excel, BigQuery and Snowflake. DataDoe publishes REST and BigQuery access alongside MCP. If raw normalized tables in your own warehouse are the goal, they are built for that.
Nova starts at $29 per month with a 14-day trial and no card, and $29 per additional Seller Central account. DataDoe publishes one plan at $97 per month with a 14-day free trial and every integration included.
In Nova, yes: the MCP is served by the same services as the dashboard, so Claude and the cockpit cannot disagree with each other.
Yes. Both connect through Amazon OAuth independently, and several assistants can hold more than one MCP server at once. Vendor data and writes on one side, a reconciled hourly P&L on the other.

See it on your own numbers

Connect Amazon, load your costs, and check a completed settlement period line by line. 14 days, no credit card.

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