Data Analysis Engine

Merge the exports you already pull from your research tools into one dataset AtlasIQ can reason over.

Bring your own tool exports

Upload your Helium 10, Keepa or Jungle Scout exports. AtlasIQ normalizes them into one deduplicated dataset, keeps measured figures separate from tool estimates, and flags where two tools disagree — the intelligence layer before the AI.

Your uploads are used only to analyze your own products. They are never used to train any model.

Drag your exports here

CSV or XLSX from Helium 10, Keepa or Jungle Scout — or a plain product/keyword table.

Choose files

Up to 5 files · CSV or XLSX · 10 MB each

Which export is this? (optional)

Tell us which tool this file came from. We also detect it from the columns — declaring it lets us read a file whose columns you have customised.

Your datasets

Every export you have uploaded, newest first. Open one to reuse it in an analysis, or delete it to withdraw it.

Loading your datasets…

What each export contributes

The tools do not measure the same things, so a file from one is not interchangeable with a file from another. AtlasIQ reads each for what it is genuinely authoritative on, and ignores the rest rather than averaging it in.

Helium 10

Taken from this export

Estimated monthly units and revenue — Amazon publishes no unit figure for a product you do not sell
Review count and star rating, plus reviews gained in the last 30 days
Number of active sellers and image count on the listing

Deliberately ignored

The Fees column. Helium 10 documents it as the FBA pick/pack fee and the referral fee blended into one number; the margin calculation needs them apart, so AtlasIQ asks Amazon for the split instead.

Keepa

Taken from this export

Price, rank and offer-count history — 30, 90, 180 and 365-day averages
How often Amazon itself held the Buy Box, and how often it was out of stock
Variation-level demand, rather than a figure aggregated across a parent listing

Deliberately ignored

Its fee fields. Keepa computes them at an assumed selling price rather than the price you would actually list at, so the number answers a different question.

Jungle Scout

Taken from this export

Units sold over the last 30 days, with opportunity and listing-quality scores
Date first available — the only one of the three that flags when that date is its own estimate
Supplier and customs records where your export includes them

Deliberately ignored

Its net-revenue column, which is a per-unit result rather than the fee breakdown the waterfall walks through.

What AtlasIQ reads from Amazon instead

Anything Amazon owns is read live from Amazon, per ASIN, at the moment you run an analysis — never taken second-hand from a file that was exported on an unknown date.

Referral, fulfilment and storage fees as separate amounts, at the price you are considering
Current Buy Box price, the full offer set, and who holds the Buy Box now
Whether your account is allowed to list in that category at all

What happens to your files

Uploaded exports are stored against your account and used to analyse your own products. They are not shared with other customers and are not used to train any model.