What did the claims review show?
The current dataset contains 45 claims across 15 platforms. 37 are Partially Verified, Unverified or Unable to Verify. That does not mean those claims are fraudulent; it means the evidence reviewed did not fully establish their material meaning.
Verification outcomes
Claim categories
Interpretation
Feature claims
A public workflow or documentation can support that a feature exists. It does not show the feature improves returns or is suitable for a particular strategy.
Performance and AI claims
Backtests, testimonials, marketplace histories and AI labels are not independent live-return records. Verification needs a defined period, methodology, fees, drawdowns and evidence resistant to selection bias.
Scale and security claims
User counts and volume figures need definitions and independent support. Security controls can be documented while their implementation effectiveness remains unaudited.
Method
Each product record stores the original claim, claim category, source URL, evidence found, verification status and analyst note. Counts are calculated from those fields at build time. “Misleading” is reserved for research that supports a materially inaccurate impression; it is not inferred from missing evidence alone.