Amazon Deal Score

Know if an Amazon price is actually a deal before you buy

Amazon prices change hundreds of times a day. Deal Score shows you the 90-day price history for any product, a deal rating from F to A+, and real review quality analysis so you're never tricked by inflated 'original' prices.

Always freeNo account needed

How it works

1

Browse Amazon normally

Open any product page. The extension runs automatically — a badge appears with the deal grade.

2

Check the price history

Click the badge to see a 90-day price chart showing how today's price compares.

3

Buy smart or set an alert

A or A+ grade means good deal. D or F means inflated. Set a price drop alert and move on.

Who this is for

🛍️

Frequent Amazon Shoppers

If you're buying something every week, Deal Score pays for itself on the first purchase you don't overpay for.

💰

Budget-Conscious Buyers

Never buy at the wrong time again. See when a product historically hits its lowest price and set an alert.

🎁

Gift Buyers

Shopping around the holidays? Verify that 'sale' price is real before clicking Buy Now.

📦

Small Business Owners

Buying supplies in bulk? Deal Score shows you whether today is a good day to buy or if you should wait.

FAQ

Why is this tool free?

Amazon Deal Score is our free flagship tool. It helps introduce people to TJR Technologies. We may introduce a Pro tier with additional features in the future, but the core functionality will remain free.

Where does the price history data come from?

We aggregate price data from Amazon's publicly visible product pages. Data is updated multiple times daily.

Does it work on Amazon outside the US?

The extension supports Amazon.com (US), Amazon.co.uk, Amazon.de, Amazon.ca, and Amazon.com.au. More regions are planned.

How accurate is the deal grade?

The grade is based on where today's price sits within the 90-day price range. An A+ means the price is at or near its 90-day low. An F means you're paying near the 90-day high.

Can it detect fake reviews?

The review analysis flags patterns associated with fake reviews: sudden review spikes, unusual rating distributions, and reviewers with no purchase history. It's a risk indicator, not a definitive judgment.