Prove every number in your citation
Claude reads the literature; a deterministic engine proves every number. Paste an efficacy claim and PaperTrail traces it to the primary source, extracts the actual finding, and flags exactly where the two diverge.
Or try it right now — paste a claim below.
- 1Retrieve primary source
Semantic search over cached PubMed & ClinicalTrials.gov records.
- 2Extract the finding
Structured effect size, population, endpoint, and caveats.
- 3Verify & ground every quote
Compare claim vs source and map each span to the raw text.
One pipeline, from a single claim to a defensible answer
Retrieval, extraction, verification, and synthesis — each step cited, each number checked by rule.
Claim verification
Trace a clinical-trial efficacy claim to its primary source, extract the actual finding, and flag exaggeration or dropped caveats — with a deterministic numeric check on every reported figure.
Evidence synthesis
Pool findings across studies with a random-effects meta-analysis engine, surfacing effect sizes, heterogeneity, and cross-source agreement instead of a single cherry-picked trial.
Biomedical evidence
Ground claims in genetics, drug safety, and target biology — variant pathogenicity, pharmacovigilance signals, and target-disease associations, normalized to canonical entities.
Research copilot
Ask questions across your cached corpus and get answers anchored to exact source spans — a paper-QA assistant that never asserts a fact it cannot cite.
Systematic review
Run PRISMA-style screening and living-evidence tracking, so a review stays current as new trials land rather than freezing on the day it was written.
Provenance & audit
Every flag maps to a verbatim substring of the cached source, and every org action is written to an append-only audit trail you can export.