NFT Analytics evaluated across what the vendor removes before it prints the number, what the printed number actually counts, a mark for the token you hold, with a published error, and whether the number is revised after you have used it.
NFTGo
#1 of 6 · published ranking
NFTGo
79ChainChoice Score
4199
Why it leads
1 point ahead of bitsCrunch (UnleashNFTs): +1.6 pts number definition, +1.2 pts revision policy
#1 overall·computed before any payout data is seenOverall
NFTGo
NFTGo
An NFT data API in two published versions — a stable V1.1 on Ethereum only, and a newer V2.2 "Multi Chain API" covering eight mainnets — plus GoPricing, a per-token appraisal that returns an estimated price for a specific tokenId decomposed into a collection floor base, an intercept and machine-learned per-trait premiums, and returns the trait weights and intercept themselves so the buyer can re-derive the number. GoPricing is documented only under V1.1 and is Ethereum-only. Wash-trade filtering is default-on in the web product for an enumerated table of metrics but default-OFF in the V1.1 API (exclude_wash_trading defaults to false) and has no exclude parameter at all on the V2.2 transaction-history endpoint, which instead tags each last sale with an is_wash_trade boolean. No accuracy figure, model version or as-of query is published anywhere.
Wins the weighted total without leading any single criterion
79ChainChoice Score · first of 6
4199
Catalog strengths
What the vendor removes before it prints the numberWhat the printed number actually counts
Why it leads
1 point ahead of bitsCrunch (UnleashNFTs): +1.6 pts number definition, +1.2 pts revision policy
Provider states broad availability
Wash filter 6/10 (weight 30%)
Evidence
4/4
criteria scored · 4 receipts quoted
Margin
+1
over bitsCrunch (UnleashNFTs), ranked #02
Rank stability
One-point
a ±1 reread of "What the vendor removes before it prints the number" would crown bitsCrunch (UnleashNFTs)
Tradeoff
−1
A mark for the token you hold, with a published error — behind this pool's best
Jurisdiction
Global
no restricted market on record
Score breakdowntick = pool best
Wash filter6/10
Number definition6/10
Token level mark6/10
Revision policy5/10
Ranking-blind · a guided run tailors this to your size, custody & jurisdiction
#ProviderScoreEvidenceKey strengths
2−1
BI
bitsCrunch (UnleashNFTs)
A mark for the token you hold, with a published errorWhat the vendor removes before it prints the number
3−12
CoinGecko NFT
CoinGecko NFT
What the vendor removes before it prints the numberWhat the printed number actually counts
4−4
CryptoSlam
CryptoSlam
What the vendor removes before it prints the numberWhat the printed number actually counts
5−2
NFTScan
NFTScan
What the printed number actually countsA mark for the token you hold, with a published error
6−4
NFT Price Floor
NFT Price Floor
Whether the number is revised after you have used itWhat the printed number actually counts
Ranking-blind — order computed before any payout data is joined
Below the table
How this ranking works
Everything the table draws on continues here: how firm the #1 is, the per-criterion arithmetic behind each score, who pays ChainChoice, and the full guide to choosing.
Direct answer
What is the best nft analytics in 2026?
NFTGo ranks #1 overall for nft analytics on ChainChoice. An NFT data API in two published versions — a stable V1.1 on Ethereum only, and a newer V2.2 "Multi Chain API" covering eight mainnets — plus GoPricing, a per-token appraisal that returns an estimated price for a specific tokenId decomposed into a collection floor base, an intercept and machine-learned per-trait premiums, and returns the trait weights and intercept themselves so the buyer can re-derive the number. GoPricing is documented only under V1.1 and is Ethereum-only. Wash-trade filtering is default-on in the web product for an enumerated table of metrics but default-OFF in the V1.1 API (exclude_wash_trading defaults to false) and has no exclude parameter at all on the V2.2 transaction-history endpoint, which instead tags each last sale with an is_wash_trade boolean. No accuracy figure, model version or as-of query is published anywhere. It holds that rank under an affiliate-blind methodology scored across 4 published, weighted criteria — the code that ranks providers physically cannot read affiliate payouts (CI-enforced), so a payout can't move a rank. The verdict re-computes on every fee change, incident, or regulatory action; full reasoning and the audit receipt are below.
Best picks
Best nft analytics in 2026
Weighted on what the vendor removes before it prints the number, what the printed number actually counts, a mark for the token you hold, with a published error, and whether the number is revised after you have used it, in that order. THE FILTER EVERY VENDOR ADVERTISES IS SWITCHED OFF EXACTLY WHERE THE NUMBER LEAVES THE BUILDING. Of the six vendors ranked here, exactly one removes inorganic trades from the printed figure by default (CryptoSlam's aria-label tooltip, served on https://www.cryptoslam.io/, /nfts, /collections and /blockchains: "Wash sales are NOT included in Sales (USD) aggregation."). NFTGo's filter is default-ON in the web product for an enumerated 55-entry metric table (https://docs.nftgo.io/docs/wash-trade-filter-1: "the wash trade filter has been automatically turned on for the following key metrics") and default-OFF in the API a buyer actually integrates — the published OpenAPI parameter block reads {"name":"exclude_wash_trading","schema":{"type":"boolean","default":false}}, and the vendor's own tutorial "How to filter out wash trades?" ships its copy-paste sample as "const excludeWashTrading= false;".
Best overall
NFTGo
NFTGo
An NFT data API in two published versions — a stable V1.1 on Ethereum only, and a newer V2.2 "Multi Chain API" covering eight mainnets — plus GoPricing, a per-token appraisal that returns an estimated price for a specific tokenId decomposed into a collection floor base, an intercept and machine-learned per-trait premiums, and returns the trait weights and intercept themselves so the buyer can re-derive the number. GoPricing is documented only under V1.1 and is Ethereum-only. Wash-trade filtering is default-on in the web product for an enumerated table of metrics but default-OFF in the V1.1 API (exclude_wash_trading defaults to false) and has no exclude parameter at all on the V2.2 transaction-history endpoint, which instead tags each last sale with an is_wash_trade boolean. No accuracy figure, model version or as-of query is published anywhere.
Data checked Aug 2026
An NFT data API in two published versions — a stable V1.1 on Ethereum only, and a newer V2.2 "Multi Chain API" covering eight mainnets — plus GoPricing, a per-token appraisal that returns an estimated price for a specific tokenId decomposed into a collection floor base, an intercept and machine-learned per-trait premiums, and returns the trait weights and intercept themselves so the buyer can re-derive the number. GoPricing is documented only under V1.1 and is Ethereum-only. Wash-trade filtering is default-on in the web product for an enumerated table of metrics but default-OFF in the V1.1 API (exclude_wash_trading defaults to false) and has no exclude parameter at all on the V2.2 transaction-history endpoint, which instead tags each last sale with an is_wash_trade boolean. No accuracy figure, model version or as-of query is published anywhere. Strongest on what the vendor removes before it prints the number (6/10): MORE DISCLOSURE THAN THE POOL NOTE ALLOWS, BUT THE RULE IS NOT RE-DERIVABLE AND THE API DEFAULT IS OFF. A dedicated page exists at https://docs.nftgo.io/docs/wash-trade-filter-1. Under 'Wash Trade Auto Filter' it states verbatim: "To allow for a better and more seamless user experience where users get to see the… Weakest on whether the number is revised after you have used it (5/10): ONE OF THE FOUR ARTEFACTS SHIPS; THE OTHER THREE DO NOT. (1) COMPUTED-AT TIMESTAMP — PRESENT, AND MANDATORY. The PricingItem schema published at https://docs.nftgo.io/reference/get_pricing_pricing_v1_pricing_get reads "PricingItem":{"title":"PricingItem","required":["contract_address","token_id","processed_at"] and… Published price: No price is published on any page I could load.
Best for: What the vendor removes before it prints the number — 6/10
Why this score4 published criteria · leads 3 of 4
Published criterionWtScore, and the best hereGap/10Pts
What the vendor removes before it prints the number7.2·65.8
What the printed number actually counts6.2·65.0
A mark for the token you hold, with a published error5.8−164.6
Whether the number is revised after you have used it4.8·53.2
Σ methodology points18.6/32
Each bar is the score on that criterion’s own 0–10 scale, never rescaled to the pool. The dark line is the best any product here reached on that axis. Wt is the most the criterion can add to the 86-point weighted total. Pts is weight × score × 32; the sum is the methodology score, and each weighted point behind the leader costs 2.6 on the displayed score. how these are weighted
Why it ranks first
Why NFTGo leads this category right now
An NFT data API in two published versions — a stable V1.1 on Ethereum only, and a newer V2.2 "Multi Chain API" covering eight mainnets — plus GoPricing, a per-token appraisal that returns an estimated price for a specific tokenId decomposed into a collection floor base, an intercept and machine-learned per-trait premiums, and returns the trait weights and intercept themselves so the buyer can re-derive the number. GoPricing is documented only under V1.1 and is Ethereum-only. Wash-trade filtering is default-on in the web product for an enumerated table of metrics but default-OFF in the V1.1 API (exclude_wash_trading defaults to false) and has no exclude parameter at all on the V2.2 transaction-history endpoint, which instead tags each last sale with an is_wash_trade boolean. No accuracy figure, model version or as-of query is published anywhere. Strongest on what the vendor removes before it prints the number (6/10): MORE DISCLOSURE THAN THE POOL NOTE ALLOWS, BUT THE RULE IS NOT RE-DERIVABLE AND THE API DEFAULT IS OFF. A dedicated page exists at https://docs.nftgo.io/docs/wash-trade-filter-1. Under 'Wash Trade Auto Filter' it states verbatim: "To allow for a better and more seamless user experience where users get to see the… Weakest on whether the number is revised after you have used it (5/10): ONE OF THE FOUR ARTEFACTS SHIPS; THE OTHER THREE DO NOT. (1) COMPUTED-AT TIMESTAMP — PRESENT, AND MANDATORY. The PricingItem schema published at https://docs.nftgo.io/reference/get_pricing_pricing_v1_pricing_get reads "PricingItem":{"title":"PricingItem","required":["contract_address","token_id","processed_at"] and… Published price: No price is published on any page I could load.
Best for
What the vendor removes before it prints the number — 6/10
Main tradeoff
Corrections to the pool note, and one to the draft under test. FIRST, the wash-filter disclosure is better than 'a page that never states the rule': https://docs.nftgo.io/docs/wash-trade-filter-1 carries a 'Wash Trade Auto Filter' table enumerating the metrics filtered automatically in the web product, and both metric glossaries label each affected figure 'Suspected wash trades have been filtered out'. The rule is still unreproducible ('transaction cycles and transaction closed loops'), and the V1.1 API default is confirmed false in the published OpenAPI, so the score lands in the same band for a more precise reason: default-on in the UI, default-off in the API, both series recoverable. SECOND, the note says the docs 'claim no accuracy figure, saying only that performance is monitored for accuracy, stability and Interpretability'. That phrase is real but it is a link description in the 'Learn More' list on https://docs.nftgo.io/reference/gopricing, not the substance of the evaluation docs; https://docs.nftgo.io/reference/evaluation-method names MAPE as the primary metric and publishes its formula, omitting only every number. THIRD, I am softening a claim the draft made. The draft called it a flat contradiction that algorithm-principle says 'Parameters are calculated by linear regression according to transaction history' while gopricing says 'Normally, gradient-boosting models perform well in small data scenarios of the NFT market.' Read in context the gopricing line is a general remark — it is preceded by 'This floor price-based framework is suitable for any regression model' — and the Stanford Blockchain Review paper NFTGo links from that same page discusses GBDT at length specifically to reject it for poor interpretability in favour of the linear Premium Model. So this is an ambiguity about which estimator is actually fitted, not two flatly opposed claims; it remains a disclosure defect because no page states the shipped estimator unambiguously. Finally, a process note that matters for downstream copies: the formula 'Estimate Price = Floor Price + Intercept + Sum of (Trait Weights x Floor Price)' is rendered on the algorithm page as an IMAGE (files.readme.io/710898f-image.png), not as text — I confirmed this in the page's markdown source. An automated summariser returned it to an earlier pass as a verbatim quote. It is not quoted as text anywhere in this record and no downstream copy should either.
Verify before signup
No price is published on any page I could load. The metering unit is published without a rate, and every URL the docs themselves name as the pricing/billing surface returns a gateway 404. https://docs.nftgo.io/reference/compute-units states: "To ensure more reasonable pricing for our services, we utilize "compute units" (CU) to describe the cost for each API on NFTGo, as the cost can vary significantly across different APIs. Your charges will be based on the volume of CUs consumed." and "Compute unit pricing enables us to offer fair and transparent pricing to developers. No more paying excessively for simple requests – you only pay for what you actually use." [en dash U+2013 verbatim]. The page then publishes multiple CU-cost tables, one per API category, with columns "API Endpoint | CU(s) | CU(s) Additional" — e.g. the rows "Get NFTs by collection | 800 | 0" and "Get rarity by NFT | 100 | 0" — but no currency amount per CU and no plan tiers. (The only "$" and "USD" strings on that page belong to a site-wide metric glossary blob present on every docs page, defining Whales and Blue Chip Index; none is a price.) THE DOCS NAME A PRICING PAGE AND A BILLING PAGE, AND BOTH ARE DEAD. https://docs.nftgo.io/v2.2/reference/introduction.md instructs: "You can view [Pricing](https://developer.nftgo.io/pricing) and choose the package plan that best suits your needs" — so package plans exist — and both that page and https://docs.nftgo.io/reference/introduction state the rate limit as a FREE-TRIAL limit with a paid upgrade path: "Currently, we have a rate limit of 5 requests per second (5RPS) for a free trial. You can upgrade your plan [here](https://developer.nftgo.io/billing)." The older OpenAPI description embedded on the reference pages, e.g. https://docs.nftgo.io/reference/get_pricing_pricing_v1_pricing_get, carries an unqualified variant: "Currently, we have a rate limit of 5 request per second (5RPS). If your project needs a specialized plan, you can contact us here." https://docs.nftgo.io/reference/gopricing says: "You can now try GoPricing for free!" and directs buyers to "Register on [NFTGo Developers](https://developer.nftgo.io/)" and "Obtain your private key through [Dashboard](https://developer.nftgo.io/overview)". PRICING-SHAPED URLS TRIED AND FAILED, all on 2026-08-14, all HTTP 404 with the identical application body {"error_msg":"404 Route Not Found"}: https://developer.nftgo.io/pricing, https://developer.nftgo.io/billing, https://developer.nftgo.io/login, https://developer.nftgo.io/overview, https://developer.nftgo.io/. Also HTTP 403 behind a Cloudflare interstitial and therefore INCONCLUSIVE, not read: https://nftgo.io/pricing, https://nftgo.io/data-api/, https://nftgo.io/developers. The developer portal the docs instruct buyers to register and pay on is therefore not readable, and no CU-to-currency rate is published anywhere I could load.
Recommendation summary
What should decide this category
Who is going to challenge this number — an auditor, a lender’s risk desk, or a tax authority?
Are you marking a whole collection, or one specific token that is not the cheapest in it?
If the vendor revises its filter next quarter, can you still retrieve the figure you actually used?
Quick picks
Strong options in this category
Start with the lead choice first, then use the shortlist only if you still need a challenger or stronger fit for a specific setup.
Best overall
NFTGo
NFTGo
An NFT data API in two published versions — a stable V1.1 on Ethereum only, and a newer V2.2 "Multi Chain API" covering eight mainnets — plus GoPricing, a per-token appraisal that returns an estimated price for a specific tokenId decomposed into a collection floor base, an intercept and machine-learned per-trait premiums, and returns the trait weights and intercept themselves so the buyer can re-derive the number. GoPricing is documented only under V1.1 and is Ethereum-only. Wash-trade filtering is default-on in the web product for an enumerated table of metrics but default-OFF in the V1.1 API (exclude_wash_trading defaults to false) and has no exclude parameter at all on the V2.2 transaction-history endpoint, which instead tags each last sale with an is_wash_trade boolean. No accuracy figure, model version or as-of query is published anywhere.
An NFT data API in two published versions — a stable V1.1 on Ethereum only, and a newer V2.2 "Multi Chain API" covering eight mainnets — plus GoPricing, a per-token appraisal that returns an estimated price for a specific tokenId decomposed into a collection floor base, an intercept and machine-learned per-trait premiums, and returns the trait weights and intercept themselves so the buyer can re-derive the number. GoPricing is documented only under V1.1 and is Ethereum-only. Wash-trade filtering is default-on in the web product for an enumerated table of metrics but default-OFF in the V1.1 API (exclude_wash_trading defaults to false) and has no exclude parameter at all on the V2.2 transaction-history endpoint, which instead tags each last sale with an is_wash_trade boolean. No accuracy figure, model version or as-of query is published anywhere. Strongest on what the vendor removes before it prints the number (6/10): MORE DISCLOSURE THAN THE POOL NOTE ALLOWS, BUT THE RULE IS NOT RE-DERIVABLE AND THE API DEFAULT IS OFF. A dedicated page exists at https://docs.nftgo.io/docs/wash-trade-filter-1. Under 'Wash Trade Auto Filter' it states verbatim: "To allow for a better and more seamless user experience where users get to see the… Weakest on whether the number is revised after you have used it (5/10): ONE OF THE FOUR ARTEFACTS SHIPS; THE OTHER THREE DO NOT. (1) COMPUTED-AT TIMESTAMP — PRESENT, AND MANDATORY. The PricingItem schema published at https://docs.nftgo.io/reference/get_pricing_pricing_v1_pricing_get reads "PricingItem":{"title":"PricingItem","required":["contract_address","token_id","processed_at"] and… Published price: No price is published on any page I could load.
Best for: What the vendor removes before it prints the number — 6/10
What the vendor removes before it prints the number · 30%
6/10
What the printed number actually counts · 26%
6/10
A mark for the token you hold, with a published error · 24%
6/10
Whether the number is revised after you have used it · 20%
5/10
Quick pick
BI
bitsCrunch (UnleashNFTs)
A credit-metered REST API (66 documented v2 endpoints, verified live today) selling NFT collection and wallet analytics, a wash-trade series published in parallel with the volume series at five matched levels of aggregation, and a per-token ML price estimate that ships with an upper and lower bound. The buyer gets wash-trade metrics as a separately priced parallel series to subtract themselves — not a cleaned headline volume — and a token appraisal with a band but no published error rate.
A credit-metered REST API (66 documented v2 endpoints, verified live today) selling NFT collection and wallet analytics, a wash-trade series published in parallel with the volume series at five matched levels of aggregation, and a per-token ML price estimate that ships with an upper and lower bound. The buyer gets wash-trade metrics as a separately priced parallel series to subtract themselves — not a cleaned headline volume — and a token appraisal with a band but no published error rate. Strongest on a mark for the token you hold, with a published error (7/10): The strongest criterion for bitsCrunch: it clears the pool's 5-6 anchor on two counts while missing 9-10 on all three sub-tests. A per-token mark exists: GET /nft/liquify/price_estimate takes blockchain + contract_address + token_id as required parameters (live spec… Weakest on whether the number is revised after you have used it (4/10): Checked all four artefacts against the live spec fetched today plus every reachable page in the Guides tree; three are absent and the fourth is present on the wrong endpoints. (1) VERSIONED AND DATED METHODOLOGY: no. The live info block reads exactly {'title': 'UnleashNFTs API V2', 'version': '1.0.0'} — and I proved… Published price: No current price is readable.
Best for: A mark for the token you hold, with a published error — 7/10
What the vendor removes before it prints the number · 30%
6/10
What the printed number actually counts · 26%
5/10
A mark for the token you hold, with a published error · 24%
7/10
Whether the number is revised after you have used it · 20%
4/10
Quick pick
CoinGecko NFT
CoinGecko NFT
A free collection-level NFT feed — floor price, market cap, 24h volume and a global market-cap rank — aggregated across major marketplaces and served via /nfts/{id} on a 60-second cache. The buyer gets one scalar per collection (the floor) and one figure derived from it by a published formula (market cap = total supply x floor); there is no per-token valuation, no published floor methodology, and no restatement policy.
A free collection-level NFT feed — floor price, market cap, 24h volume and a global market-cap rank — aggregated across major marketplaces and served via /nfts/{id} on a 60-second cache. The buyer gets one scalar per collection (the floor) and one figure derived from it by a published formula (market cap = total supply x floor); there is no per-token valuation, no published floor methodology, and no restatement policy. Strongest on what the vendor removes before it prints the number (5/10): RE-VERIFIED CHARACTER-EXACT. CoinGecko's ONLY published statement on inorganic trades sits in one support article, "What is NFT Market Cap?", verbatim: "Internally, we set a volume threshold for collections to be given a rank at any point in time. However, even if the threshold is met, a collection will still not be… Weakest on whether the number is revised after you have used it (2/10): Checked all four required artefacts, re-fetching each myself. (1) VERSIONED AND DATED METHODOLOGY: none. No NFT methodology document exists — across the 296 help-centre articles the only one touching NFT floor or wash trading is "What is NFT Market Cap?", which carries no version and no rendered date in its body. (2)… Published price: https://www.coingecko.com/en/api/pricing prints, for the free Demo tier, "$0" with "10k call credits/mo" and "No credit card required".
Best for: What the vendor removes before it prints the number — 5/10
What the vendor removes before it prints the number · 30%
5/10
What the printed number actually counts · 26%
5/10
A mark for the token you hold, with a published error · 24%
2/10
Whether the number is revised after you have used it · 20%
2/10
Quick pick
CryptoSlam
CryptoSlam
A free NFT sales-volume aggregator: it publishes ranked sales volume, transaction, buyer and seller counts for 24 chains, and it is the only vendor in this pool that subtracts wash trading from the headline figure by default and prints the size of that subtraction next to it (Ethereum all-time, vintage 2026-08-14T07:42:00Z: $47.51bn adjusted vs $82.30bn raw, 42.27% removed). What a buyer does NOT get is any rule for that subtraction, a named venue list behind the number, any floor price or market cap on the collection page, any per-token valuation, or any dated methodology, changelog or as-of query.
A free NFT sales-volume aggregator: it publishes ranked sales volume, transaction, buyer and seller counts for 24 chains, and it is the only vendor in this pool that subtracts wash trading from the headline figure by default and prints the size of that subtraction next to it (Ethereum all-time, vintage 2026-08-14T07:42:00Z: $47.51bn adjusted vs $82.30bn raw, 42.27% removed). What a buyer does NOT get is any rule for that subtraction, a named venue list behind the number, any floor price or market cap on the collection page, any per-token valuation, or any dated methodology, changelog or as-of query. Strongest on what the vendor removes before it prints the number (6/10): DEFAULT-ON, RE-CONFIRMED 2026-08-14. The info-icon tooltip is served in the HTML of https://www.cryptoslam.io/blockchains and reads character-exact: "Amounts are calculated from transactions on all marketplaces tracked by CryptoSlam and include owner-to-owner sales only. Wash sales are NOT included in Sales (USD)… Weakest on whether the number is revised after you have used it (1/10): I re-checked all four artefacts on named pages, 2026-08-14. (1) VERSIONED AND DATED METHODOLOGY — absent.
Best for: What the vendor removes before it prints the number — 6/10
What the vendor removes before it prints the number · 30%
6/10
What the printed number actually counts · 26%
3/10
A mark for the token you hold, with a published error · 24%
1/10
Whether the number is revised after you have used it · 20%
1/10
Frequently asked
Questions people ask before choosing nft data
Why can two vendors quote the same collection and disagree?
Because a floor price is not observed, it is constructed, and each vendor constructs it differently. NFT Price Floor advertises that it aggregates “all marketplaces”, but across all 1,799 records served by its own backend, 93.2% of priced collections are marked off a single venue. Four of the six vendors here also print the words “market cap” and compute incompatible figures from them — floor price times total supply at one, the average of the last 50 trades times item count at another — and none states which formula it used at the point it hands you the number.
Does the wash-trading filter apply to the number I actually integrate?
Usually not. Of the six vendors ranked here, exactly one removes inorganic trades from the printed aggregate by default. NFTGo turns its filter on for the website and ships the API parameter exclude_wash_trading with a default of false, so the figure on the page and the figure in your NAV pack are different numbers for the same collection — and the unfiltered one is the one that reaches your report. Ask which surface the filter is on for, not whether the vendor has one.
Is a collection floor good enough to mark the token I hold?
Only if your token is the cheapest one in the set, because that is what a floor is. Four of the six vendors publish no per-token output at all, and two say so outright — CoinGecko: “At the moment, our API only supports the market data for the entire NFT collection.” Of the two that do price a specific token, only bitsCrunch ships an admitted uncertainty alongside it, returning lower and upper bounds with every estimate. NFTGo publishes the construction of its model but no accuracy figure, while its marketing carries an “over 90%” its own documentation never defines.
Can I retrieve what a vendor published last quarter?
No vendor in this pool offers an as-of query that returns the figure as it stood when you used it. NFTScan states the consequence plainly: “NFTScan doesn’t store historical snapshots of the floor price of a collection, while it only updates the current floor price of the collection.” That is the difference between a historical series recomputed today and a record of what you were told — and it is why a filing defended two years later can stop being reproducible at exactly the moment it is examined.
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How this ranking is built
Reviewed on what the vendor strips out before it prints the figure, what that figure actually counts, whether it prices the specific token you hold and admits its error, and whether it restates history after you have used it. Weights are the engine’s: 30 / 26 / 24 / 20.
Data checked Aug 2026 · Independent rankings · We show our work
Not financial advice · For informational purposes only · Always do your own research
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