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Nft Ai Tools

CryptoSlam

Best for published documentation

Service page:ReachableDocumentation:PublishedTerms:Not found at a conventional addressCorporate entity:Not established at this checkRubric:v2.0 · verified 9 Aug 2026
Kayla PetersonKayla PetersonDeFi Research Analyst· Last verified August 9, 2026
Confidence BRubric v2.0Verified August 9, 2026
5.8
out of 10
Open account
Scorecard

How it rates

Counterparty & operator risk · 30%5.0
Cost transparency · 20%7.0
Product transparency · 25%6.0
Operator transparency · 15%4.0
Public documentation surface · 10%8.0
Pros
  • Service reachable without an account
  • Developer or user documentation published
Cons
  • No terms found at a conventional public address
  • Corporate entity not established from public sources
How this score was built

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.

Counterparty & operator risk · 30% weight5/10 points · 5.0/10
  • Met
    Service reachable at a public address

    Reachable at this check.

    www.cryptoslam.io/
  • Met
    Documentation published

    Reachable at this check.

    www.cryptoslam.io/about
  • Not met
    Terms published

    Not found at this check.

  • Partial
    Operator identifiable from published material

    Service published under its own domain; corporate entity not established.

    www.cryptoslam.io/
  • Not met
    Data provenance disclosed

    Not established from public sources at this check.

Cost transparency · 20% weight7/10 points · 7.0/10
Product transparency · 25% weight6/10 points · 6.0/10
Operator transparency · 15% weight4/10 points · 4.0/10
  • Met
    Service resolves to automated verification

    HTTP 2xx.

    www.cryptoslam.io/
  • Not met
    Terms published

    Not found.

  • Met
    Documentation published

    Reachable.

    www.cryptoslam.io/about
  • Not met
    Corporate entity identifiable

    Not established at this check.

  • Not met
    Funding or ownership disclosed

    Not established at this check.

Public documentation surface · 10% weight8/10 points · 8.0/10

An NFT sales data platform that filters wash trading from reported volumes, with documentation published but no retrievable terms.

Our assessment

CryptoSlam tracks NFT sales across chains and — unusually — publishes volumes with wash trading filtered out. Documentation is published; no terms were retrievable at a conventional address.

Filtering wash trades is the most useful thing a data source can do

NFT volume figures are among the least reliable numbers in crypto, because trading with yourself is cheap and rewarded by incentive programmes and trending rankings. A platform that identifies and excludes that activity produces figures that mean something. Most sources do not, and their headline numbers are correspondingly inflated.

Filtering is a judgement, not a measurement

Deciding which trades are wash trades requires heuristics: related wallets, circular flows, implausible price patterns. The methodology can be wrong in both directions, and different providers reach different conclusions on the same data. Published methodology is what lets a reader judge — worth looking for.

The evidence gap

No terms retrievable at a conventional address, and the corporate entity was not established from public sources at this check. For a data source whose value is its methodology, documented methods and terms would both raise the score and make the data more usable.

Who it suits

CryptoSlam fits anyone citing NFT volume figures who wants numbers with manufactured activity removed. Users needing per-item valuation should use NFTBank.

Reference

Frequently asked

Does this score assess CryptoSlam'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.