Scoring Methodology
Our AI scores every claim against six weighted axes — from hard revenue proof to step-by-step execution detail. Claims with inflated numbers, missing costs, or platform-seller conflicts are automatically penalized. No human bias. No editorial opinion. Just signal.
The 6 Axes
Specific Numbers
Raw revenue exports, dashboard screenshots, or verifiable data links. No vague claims.
Time Window
Must show 90+ days of sustained unit economics. One-off spikes are penalized.
Cost Disclosure
Ad spend, tool costs, team overhead, and hidden fees must be visible and itemized.
Customer Proof
Third-party confirmation from clients or users. Self-reported metrics are discounted.
Execution Detail
Step-by-step breakdown of what was done, what failed, and what was iterated on.
Replicable Steps
Can someone with $500 and a laptop replicate this in a weekend? Scored for accessibility.
Penalty Rules
Claim is anchored to selling a course, tool, or service.
Big numbers with no supporting evidence or timeline.
Claim provides zero verifiable data points.
Confidence Model
Confidence reflects evidence density and signal consistency. It is separate from the score itself.
HIGH
Dense evidence across multiple axes. Consistent signals.
MEDIUM
Partial evidence. Some axes lack independent verification.
LOW
Sparse or ambiguous evidence. Treat conclusions with caution.
Limitations
- Scores are based on publicly available information only.
- We do not contact claim authors for private verification (yet).
- Scores can change as new evidence surfaces.
- This index does not constitute financial or business advice.
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