NFTEF.com
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Buy with confidence. Issue with trust.

Understanding NFTs
was never this easy.

Evaluate any NFT before you buy — or check your own before you issue. NFTEF turns scattered trust signals into one clear, defensible Trust Index.

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TOPSIS · Shannon Entropy · MC4 · Kemeny · SEM
NFT Trust Index
BoredApe #4271 · OpenSea
Moderate
0.52
out of 1.00
✓ Authenticity verified
✓ Transparent fees
! Security audit pending
! Low community governance
Who's it for
Two people, one Trust Index
🔍
Buyer

Evaluate before you buy

Paste any NFT and get its Trust Index, a six-factor trust profile, and a prioritised list of what to check — before you spend. No wallet connection needed.

Evaluate an NFT →
🎨
Issuer

Build trust before you mint

Score your own collection against the same evidence-based factors and get a ranked roadmap of what to strengthen — so buyers trust your drop from day one.

Check my collection →
A research prototype of the NFT Trust Evaluation Framework (NFTEF) — the deliverable of this doctoral thesis.
Buyer path

Evaluate an NFT

Gather a few public facts about the NFT (about 2 minutes), paste them below, and NFTEF reads them into trust signals. No wallet, no sign-up. The AI only reads the data — your Trust Index is computed by the frozen NFTEF formula.

↺ Load the worked example (BoredApe) Clear all boxes
1
Marketplace stats Credibility · Transparency
Open the collection on OpenSea or Blur. Copy the stats row: floor price, total volume, items, owners, the verified/blue-check badge, and creator earnings (royalty %).
2
Contract page Authenticity · Security
Open the contract on Etherscan. Copy whether it says “Contract Source Code Verified”, the token standard (ERC-721 / 1155), and the creator / deployer address.
3
Utility & project Utility optional
From the project site or the OpenSea “About” box, copy a few lines on what the NFT actually does — access, gaming, roadmap, linked official socials.
4
Community & safety Community · Security optional
Copy Discord / X follower counts, whether there’s a DAO or Snapshot voting, and any security audit (CertiK, OpenZeppelin, etc.).
Interpret the data

Runs your Netlify function (/api/interpret) via AI Gateway — no key in the browser. Works once the site has a production deploy. Leave as-is.

Unfilled boxes simply aren’t scored — that’s what drives the data-coverage % on your result.

Computing the Trust Index…

Running the frozen NFTEF scoring pipeline. Weights are fixed from the ICDCN entropy study — never recomputed per NFT.

1
Reading trust mechanismsProvenance, fees, audits, DAO activity, escrow…
✓
2
Scoring 11 criteria sj ∈ [0,1]Benefit indicators ascending, cost indicators descending
✓
3
Applying frozen Shannon-entropy weights wjFrom the 76-response ICDCN decision matrix
✓
4
Rolling up factor scores Fi = Σ(wj/Wi)·sjSix trust factors
✓
5
Trust Index TI = Σ Wi·Fi & TOPSIS/VIKOR cross-checkSpearman agreement with published rankings
✓

0%

Buyer path

Trust Index result

BoredApe #4271 · OpenSea
0.52
TRUST INDEX
Ring 1 = factors (angle ∝ weight) Ring 2 = criteria colour ∝ score
Six trust factorsModerate
Bar = factor score Fi · tick mark = its weight Wi. Click a factor to drill down.
🛡️
Data coverage: 92%
8% of criterion weight was unscorable and renormalised — score shown on partial data.
Index vs TOPSIS rankingρ = 0.91
Index vs VIKOR rankingρ = 0.88
Spearman agreement — the dual-aggregation cross-check holds.
Drill-down

Community

Criteria in this factor
Each criterion carries a frozen weight wj and a score sj from its trust mechanisms.
Trust mechanisms scored
The qualitative indicators behind the scores above.
Buyer path

Prioritised guidance

Criteria ranked by weighted shortfall gj = wj·(1 − sj) — where trust is both important and weak. Fix the top of this list first.

Personalise

What matters most to you?

Set how much you care about each factor. NFTEF compares your ranking to the empirically optimal ranking and returns a Trust Index of alignment (0–1).

Your alignment
0.52
Spearman correlation between your priorities and the optimal ranking.
The optimal ranking is fixed from the MC4 + Kemeny consensus over 156 respondents (Beyond the Blockchain, under review).
Issuer path

Check your collection before you mint

Enter your collection and NFTEF returns its Trust Index plus a prioritised roadmap of what to strengthen — so buyers trust your drop.

✓ Provenance certificate ✓ Verified marketplace ✗ Smart-contract audit ✗ DAO / governance ✓ Transparent fees ✗ Escrow

Same engine as the buyer view — but guidance is framed as actions to raise your score.

About the engine

How the Trust Index is computed

The prototype is a faithful build of the frozen calculation spec (v1.0, 8 July 2026). Nothing here is modelled ad-hoc.

The pipeline
1 · Indicator scoressj ∈ [0,1]
2 · Weights (frozen, entropy)wj
3 · Factor rollupFi = Σ(wj/Wi)sj
4 · IndexTI = Σ Wi·Fi
5 · ValidationTOPSIS / VIKOR (Spearman)
6 · Guidancegj = wj(1−sj)
Missing data → weight removed, remainder renormalised, coverage % shown.
Grounded in peer-reviewed work
Systematic study of NFT trust criteria (TOPSIS + entropy)ICDCN '25, ACM
Comprehensive meta-analysis (190 articles / 119 journals)Springer '26
User trust in NFTs (SEM validation)Global Business Review '26
Rank aggregation — MC4 + Kemeny, 156 resp.Under review