AmericanPeptide.com pulls the scattered public record of peptide science into one place a person or an AI agent can read, cite, and reason over. Research-grade, not medical. Every source, in the open.
Most peptide information online sits at one of two extremes: dense primary literature written for specialists, or marketing copy written to sell. The accurate, sourced, plainly-explained middle barely exists. AmericanPeptide.com is building the middle - a cited reference layered over the free public datasets, an AI agent that answers from those sources instead of inventing them, and tooling that turns a certificate of analysis or a reconstitution problem from a guessing game into a checklist.
In the AI era the scarce asset is a source you can trust and cite. The name is a promise, and the domain is treated as an authority asset - not a storefront.
Three lengths for press, partner decks, and directory listings. Lift them verbatim.
AmericanPeptide.com is an independent, research-grade reference for peptide science - every claim traced to its source, not asserted.
AmericanPeptide.com is the trust layer for peptide research: an open, research-grade reference that pulls the scattered public record - PubChem structures, UniProt entries, PubMed literature, and ClinicalTrials.gov studies - into one place people and AI agents can read, cite, and reason over. Free to use, credit-free to start, research-grade not medical.
AmericanPeptide.com is an independent, AI-assisted research platform and open reference for peptide science. It layers a cited, chemistry-grade catalog of 85 peptides - mechanisms, sequences, identifiers, and manufacturing context - over the free public datasets researchers already trust, and adds a citation-backed research agent, hands-on tools (a reconstitution calculator, a COA decoder, a sequence design lab), and a published standard for grading how transparent a source is. The whole catalog is open under CC BY 4.0, with a JSON API and an MCP server so AI agents can cite it directly. Research-grade, not medical: it publishes mechanisms and evidence, never dosing. Every source, in the open.
Every figure below is verifiable on the live site - the catalog, comparisons, and glossary are all public.
The clearest way to avoid mischaracterization. The line is bright and deliberate.
Every catalog entry and agent answer traces back to PubChem, UniProt, PubMed, and ClinicalTrials.gov. Chemistry is PubChem-verified; the sequence GEPPPGKPADDAGLV resolves to a real record, not a claim.
A public JSON API, an MCP server exposing the catalog as agent tools, llms.txt, and a markdown twin of every page - all CC BY 4.0. When an AI answers a peptide question, it can answer from here, with attribution.
Sources are graded on a published 100-point rubric built from transparency signals a lab either shows or doesn't. Commission counts for zero - the ranking can't be bought.
The agent, the catalog, the calculators, and the COA decoder are usable with no account and no paywall. The platform earns trust before it asks for anything.
A transparent, weighted rubric - the same one applied to every source in the directory. Points come from what a lab publishes, never from what it pays.
An affiliate relationship adds nothing to a score and is always disclosed. Accurate pages rank the most transparent source first because it earned it - no thumb on the scale. Read the full Standard →
People who want a sourced, chemistry-grade answer faster than digging through PubMed - with the citations attached.
An informed, peer-level audience that reads certificates of analysis and wants literacy and transparency, not hand-holding.
Teams that need structured, citable peptide data - via the JSON API, the MCP server, or the markdown twins.
Writers covering the GLP-1 era and the fast-moving peptide market who need an honest, non-promotional reference to cite.
The live design system. Click any swatch to copy its hex. This page renders in the same tokens.
A peptide backbone with two side chains - the residue-and-bond motif that runs through the site's hero and figures. Set the wordmark in Space Grotesk; keep the mark in teal on a dark ground, or in ink on light. Give it clear space equal to one node.
Accurate, sourced, and plainly explained. The middle ground between primary literature and marketing copy, written for an audience that already knows the field.
BPC-157 · GEPPPGKPADDAGLV · 15 residues · MW 1419.5 · C62H98N16O22 · CID 9941957
Every sequence traced to its source - not asserted, cited.
In the AI era, the scarce asset isn't more content. It's a source you can trust and cite.
Research-grade, not medical. We publish mechanisms and evidence, never dosing.
We rank sources on what they show, not what they pay.
Research use only: AmericanPeptide.com is an AI-assisted computational research platform, not a medical device or clinical decision-support system. All outputs are computational hypotheses requiring independent experimental validation, and nothing here is medical advice or an offer for sale. American Peptide is independent and is not affiliated with, endorsed by, or representing the National Institutes of Health (NIH), the National Library of Medicine (NLM), the National Center for Biotechnology Information (NCBI), or any government agency; ClinicalTrials.gov, PubChem, PubMed, and UniProt are public databases cited as sources.