How is AFA score calculated? (2/2)

Damien Dupont
OpenGem • GEM score

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The AFA score evaluates the decentralization and the persistence of NFT assets.

Before moving on, I want to be sure that you read the previous article Why NFTs need to be graded? (1/2)”. It describes the NFT issue we want to highlight with the AFA score.

Ready?… Let’s go!

As we’re now aware of the importance of the storage method, we need to know which NFT data we will deal with.

Data have different levels of importance

After browsing different NFT platforms, we realized that each data can not have the same weight in the scoring scheme. It depends on the kind of NFT. For example, if we talk about a video game item, we consider its attributes more important than its visual. Indeed, video games are based on the statistics of items instead of the visual.

That’s why we split data into 3 levels of importance:

  • Main NFT data (Tier 1)
  • Secondary NFT data (Tier 2)
  • Other NFT data (Tier 3)

Ok, now, what data are in each tier? It depends on the kind of NFT 👇

NFTs minted from assets uploaded by users (like Rarible)

  • Tier 1 data: the creation visual (picture, video, music, etc.) and the creator’s identification (like “Leonardo da Vinci”).
    NB: we chose to consider these 2 elements in Tier 1 because we believe that the author’s name and the visual have the same impact on the value of the creation. Of course, nobody will buy your “Mona Lisa” paint if there is no certification that authenticates the creator.
  • Tier 2 data: the creation name (like “Mona Lisa”)
  • Tier 3 data: other creation metadata (like the creation date, the creation size, a description, etc.)

NFTs minted from media generated by platforms (like Cryptopunks)

  • Tier 1 data: the media asset (picture, video, music, etc.)
  • Tier 2 data: the media name (like “CryptoPunk 4445”)
  • Tier 3 data: other media metadata (like the creation date, the platform name, a description, etc.)

NFTs minted for games (like Sorare)

  • Tier 1 data: item’s attributes that have a high impact on the game environment (like health points, mana points, magic spells, etc.)
  • Tier 2 data: item’s visual rendered in the game (3D modelization, picture, etc.)
  • Tier 3 data: other item metadata with no real impact on the game environment (like the drop date)

For now, the AFA score deals with these 3 kinds of NFT. We’re working on new ones 🤓.

A Tier has a specific weight

Finally, I think you start to understand how the AFA score is working 😏

Tier 1 data are the most important, and Tier 3 data are the less important. Each Tier has its own scoring scale based on the data storage method.

For example, the Tier 1 scoring scale for a game NFT is:

Here is the Tier 2 scoring scale for this NFT:

And the Tier 3 scoring scale :

So if we have the most decentralized and persistent storage methods, the NFT can reach 60+20+10= 90/100.

Hep, hep, hep. Where are the missing 10 points?

The most attentive of you noticed that the sum does not reach 100. Indeed, we chose to evaluate the ease of retrieving NFT assets.

Why? To reach an NFT democratization, we deeply believe that users need to know how to retrieve their assets, even if the NFT platform doesn’t exist anymore. Let’s say the Pokemon company dies: seeing your beautiful Holo Charizard card suddenly disappear would be inconceivable, doesn’t it?

👉 Each NFT owner must be able to retrieve his asset easily at any moment.

That’s why the contract creator can earn 10 points by publishing documentation on how to retrieve the NFT assets.

So here, if the game editor publishes this documentation, the NFT can reach the best AFA score 100/100 😎.

Ok, now, let’s see the full scoring scheme for each kind of NFT.

💎 NFTs minted from media generated by platforms, like Cryptopunks, Avastars, PancakeSwap, etc.:

🕹 NFTs minted for games, like Sorare, Cryptokitties, or Axie Infinity, etc.:

🎨 NFTs minted from creations uploaded by users, like Rarible, Foundation, or SuperRare, etc.:

☝️ As you may notice, we include 2 elements on Tier 1 for this kind of NFT. The final Tier 1 score is picked up from the smaller of the two elements’ storage scores. If one of the Tier 1 elements is not persistent, we consider all the Tier 1 not persistent. Indeed, if your “Mona Lisa” painting is likely to lose its author certification, then the asset is not persistent and the painting loses its value.

🤓 So, what do you think about our scoring scheme? Looks good?

Are you ready to read some explained audits published on our website? We’re writing it in the next articles!

Be notified by following us on Twitter!

Website: https://artforall.io/score
Twitter: https://twitter.com/artforall_nft
Telegram: https://t.me/ArtForAll_NFT

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Damien Dupont
OpenGem • GEM score

📲 Product Designer 🚀 Blockchain lover & NFT enthousiast