Safety ratings meet real-world shopping

Find helmets that tested well — and buy them from sellers worth trusting.

TestedHelmets is building a guide that brings independent safety evidence, seller-trust rules, and clear caveats into one place. This first release is a static prototype, not a live catalogue.

  • Independent safety evidence
  • Trusted-seller filters
  • Recall-aware policy
  • Clear disclosure
  • Freshness requirements

Helmet shopping is fragmented.

Lab ratings live in one place, retailers in another, and marketplace listings can hide unknown sellers, stale information, used helmets, or possible counterfeit risk. TestedHelmets is designed to connect the pieces and preserve the caveats.

Useful evidence, in the order a shopper needs it.

01

Gather evidence

Preserve independent rating sources and raw snapshots.

02

Normalize models

Keep canonical helmet records separate from source rows and listings.

03

Review matches

Never silently promote a product match into a public recommendation.

04

Filter offers

Hide unknown sellers, used condition, and unreviewed offers by default.

Read the methodology →

A helmet deal is only useful if the product and seller are trustworthy.

The planned system tracks seller identity and fulfillment separately from a retailer listing. It defaults to hiding unknown marketplace sellers, used helmets, and offers that need review.

  • Seller context will be stored beside every offer.
  • Used and unknown marketplace listings will not be default recommendations.
  • Caveats stay visible when data is stale or incomplete.
Read seller trust policy →

Future revenue will be disclosed plainly.

TestedHelmets may earn a commission from future qualifying links. Any such relationship will not change independent safety evidence, seller-trust rules, recall checks, or ranking criteria. This prototype contains no affiliate links.

Read affiliate disclosure →