Scoring methodology

How peptide scores are built.

Peptides uses a 0-100 research confidence score to summarize the strength, safety context, and practical clarity of each peptide profile. The score is a research navigation tool, not medical advice, prescribing guidance, or a claim that a peptide is safe or effective for personal use.

0-100research confidence scale
Evidencequality and directness of research
Safetyknown cautions and tolerability signals
Practicalclarity, access, and real-world context

What the score means

The main score is a research confidence rating. It reflects how strong and useful the available research appears, then separates that signal into evidence, goal fit, safety, and practical-use context so users can understand the reasoning behind the number.

90-100

Strong research confidence

Broader research coverage, clearer human evidence, stronger source support, and fewer unresolved safety or practical questions.

76-89

Moderate research confidence

Useful signal with meaningful supporting evidence, but some limitations remain around study depth, access, safety, or applicability.

60-75

Emerging research confidence

Promising or commonly discussed, but the available data is narrower, less direct, or less mature.

0-59

Limited research confidence

Thin evidence, unresolved unknowns, unclear practical value, or cautions that deserve extra review before drawing conclusions.

What gets evaluated

Each score is shaped by the quality of research sources, the type of evidence available, reported benefits, known side effects, regulatory context, provider context, comparison data, and whether important information is missing.

Evidence

Looks at scientific sources, clinical evidence summaries, study count, evidence level, and whether the claims are direct or only adjacent.

Goal fit

Scores alignment with research goals such as fat loss, recovery, muscle growth, longevity, skin and hair, cognition, metabolic health, sleep, stress, and libido.

Safety

Considers cardiovascular, blood sugar, water retention, hormone, appetite, GI tolerability, and protocol simplicity signals.

Practicality

Captures beginner friendliness, accessibility, stack compatibility, and whether the profile has enough clarity for responsible research review.

How Top Rated works in the app

Primary sort

Top Rated prioritizes peptides with stronger research confidence. The goal is to rank by evidence quality and context, not by hype, search volume, or how often something is viewed.

Fallback score

If a profile is still being reviewed, the app may use a temporary coverage score based on how much reliable context is available. This is replaced as the full research confidence review is completed.

Activity context

Saved and viewed activity can help show what people are researching, but popularity does not raise a peptide's research confidence score. A popular peptide can still score lower if the evidence is weak or safety questions are unresolved.

Editorial review

Some profiles are held for editorial review when information is missing, confidence is low, or the available evidence needs human checking. This keeps the score conservative instead of overstating certainty.

Important limitation

Peptide scores are summaries of available research and app data. They should be used to compare the strength of the evidence and the amount of context available, not to self-diagnose, self-prescribe, or decide whether a peptide is appropriate for personal use.