NFTBank
Best for published documentation
How it rates
- Service reachable without an account
- Developer or user documentation published
- No terms found at a conventional public address
- Corporate entity not established from public sources
Each indicator scores 2, 1 or 0. A pillar is the points earned over the points available; the overall score is the weighted sum. Every source below is public — check any of them yourself.
- Met
- Met
- Not metTerms published
Not found at this check.
- PartialOperator identifiable from published material
Service published under its own domain; corporate entity not established.
www.nftbank.ai/ - Not metData provenance disclosed
Not established from public sources at this check.
- Met
- Met
- Partial
- Not metTerms describe charges
Not found.
- Met
- Met
- Met
- Not metTerms
Not found.
- Met
- Not metData sources disclosed
Not established at this check.
- Met
- Not metTerms published
Not found.
- Met
- Not metCorporate entity identifiable
Not established at this check.
- Not metFunding or ownership disclosed
Not established at this check.
- Met
- Met
- Not metTerms reachable
Not found.
- Met
- Met
An NFT valuation and portfolio tracking service using machine-learning price estimates, with documentation published but no retrievable terms.
Our assessment
NFTBank provides valuation and portfolio tracking for NFTs, using models to estimate what individual items are worth rather than quoting a collection floor. Documentation is published; no terms were retrievable at a conventional address.
Valuing an NFT is a genuinely hard problem
A floor price tells you the cheapest item in a collection, which is nearly useless for a specific piece with particular traits. Model-based valuation attempts to price attributes, sales history and market conditions together. It is the right problem to work on and the estimates should be treated as estimates.
Where model valuations mislead
Models trained on historical sales assume the future resembles the past. In a market where liquidity can vanish for months, a confident valuation on an asset with no bids is a number without a market behind it. Use them for relative comparison rather than as a mark you could realise.
Missing terms
No terms of service were retrievable at a conventional address, which for a paid analytics product means the commercial relationship — data rights, accuracy disclaimers, liability — is not established before you subscribe. Our rubric records this as a fail across several indicators.
Who it suits
NFTBank fits holders wanting valuation estimates across a portfolio who treat the outputs as approximations. Users needing published terms should compare SimpleHash or the OpenSea tools.
Frequently asked
Does this score assess NFTBank's data quality?
No. Data accuracy would require a controlled comparison we do not run. The score covers what is published and reachable before use.
Why is this category smaller than the others?
We check candidates before listing them. Four services we tested for this table no longer respond at all, so the table has fourteen entries rather than fifteen.
Why do all entrants score zero on corporate entity?
Because this class of tool rarely publishes it. The indicator is identical for everyone in the category, so the comparison stays fair.