About PepStack
Research-backed peptide information built on transparency, safety, and rigorous methodology.
Our Mission
PepStack exists to make peptide research accessible, honest, and safety-first. The peptide space is full of hype and misinformation. Whether you are a patient researching treatment options, a clinician looking for quick references, or a researcher surveying the landscape - you deserve evidence-rated information with full source transparency.
Every peptide page leads with safety data. Every claim links to its source. We tell you what we don't know, not just what we do.
Who Built This
The PepStack team have backgrounds in AI research methodology, data evaluation, physics, and education. We built a custom research pipeline specifically for peptide data because nothing else online met the standard we wanted - thorough, cited, and honest about what the evidence actually shows.
Data Sources
Every peptide profile is built from multiple primary and secondary research sources. Our pipeline queries 35+ data sources per peptide, including:
PubMed / MEDLINE
Peer-reviewed biomedical literature - the gold standard for clinical evidence.
ClinicalTrials.gov
Registry of ongoing and completed clinical trials, including status and results.
FDA
Regulatory status, approval history, and safety communications.
OpenAlex
Open scholarly metadata for citation analysis and research mapping.
arXiv
Preprint server for cutting-edge research not yet peer-reviewed.
Exa AI
Neural search across the full web for clinical resources, vendor data, and community reports.
Methodology
Our data pipeline uses a blind multi-model reconciliation process designed to catch errors that any single AI model would miss:
- 1Data Collection: Each peptide starts with 35+ automated research queries - PubMed abstracts, clinical trial registries, FDA regulatory filings, OpenAlex citation networks, arXiv preprints, and neural web search across clinical resources, vendor documentation, and community reports. This produces thousands of raw data points per peptide before any AI analysis begins.
- 2Independent Analysis: Two different AI models independently analyze the same raw data, producing separate structured profiles without seeing each other's work.
- 3Blind Reconciliation: A third model reconciles the two analyses field by field, flagging discrepancies and resolving conflicts against the original source data. Disagreements are documented, not hidden.
- 4Citation Verification: All study citations are verified against PubMed and ClinicalTrials.gov. Every PMID and NCT identifier links to its source.
- 5Evidence Rating: Each peptide receives an evidence tier based on the quality and quantity of available human clinical research.
Currently tracking 89 peptides with 1,137 cited studies.
Evidence Tier System
Every peptide is assigned an evidence tier based on the strength and quality of available research:
FDA Approved
Approved by the FDA for specific medical use. Full clinical trial data available.
Strong Clinical Evidence
Multiple human clinical trials with significant findings. Not yet FDA-approved for this specific use.
Moderate Clinical Evidence
Some human trials or strong preclinical data with consistent community reports.
Limited Human Data
Few human studies published. Primarily animal research with preliminary clinical investigation.
Animal Studies Only
No human trials completed. Evidence limited to animal models and in-vitro studies.
Important Disclaimers
PepStack is an informational resource, not a medical service. We do not provide medical advice, diagnoses, or treatment recommendations. The information presented here is compiled from published research and should not be used as a substitute for professional medical guidance.
Always consult a qualified healthcare provider before starting, stopping, or changing any treatment. Many peptides discussed here are research compounds that have not been approved by the FDA for human use.
Contact & Feedback
Found an error? Have a suggestion? Safety is our highest priority and we welcome corrections. Get in touch.