Zetesis Scientific Due Diligence
Due diligence on life-science claims: omics, trials, gene therapy. Dimension by dimension.
- 0.2.1
- Version
- remote + pypi
- Transport
- 4
- Tools
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Tools (4)
evaluate_claim
Run Zetesis's graded reading of a scientific, biomedical, clinical, or AI/ML claim. Grades each evidence dimension and returns an overall reading, with every source cited by hard public id (PMID, DOI, NCT, NIH grant, SEC filing). Covers drug, omics, target-validation, diagnostic, and AI-model claims. Runs the hosted engine end to end and typically takes a couple of minutes, long enough that some clients background or time out the call. The output is Zetesis's own reading as a finished artifact. zetesis_scope and zetesis_evidence return the same dated sources and the same grading rubric immediately and without running a model, at full source depth rather than abstract level. A signed, independently re-checkable dossier is available by request at the Zetesis site. Args: claim: the claim to evaluate, in one or two sentences. context: optional background (stage, field, the decision at hand). documents: optional source
zetesis_scope
Scope a scientific, biomedical, clinical, or AI/ML claim for evaluation. Returns three things: the source catalog, meaning where the evidence for this claim class lives; the diligence apparatus for that class, meaning the questions a domain reviewer asks and the failure patterns that have caught comparable claims before; and the scoping rubric used to work out which evidence dimensions bear on this particular claim and what to search for. Applies to a research claim, a study, a paper, an abstract, a preprint, a grant or a pitch, and to checking a paper or statistic before relying on it. Runs no model, costs nothing, and returns immediately. The queries worked out from its output are what zetesis_evidence takes as input. With as_of set, the apparatus and rubric are framed for judging the claim as it stood at the end of that year. Args: claim: the claim to evaluate, in one or two sentences. context: optional background (stag
zetesis_evidence
Step 2 of a Zetesis evaluation. Runs the search queries against public evidence sources (Europe PMC, ClinicalTrials.gov, openFDA, and optionally NIH RePORTER and SEC EDGAR) and returns a deduplicated bundle where every source carries a hard public id, followed by the Zetesis grading rubric so you can grade the dimensions yourself. With as_of set, retrieval is fenced to sources published, registered, or filed on or before 31 December of that year, and two fields that leak later outcomes are suppressed: a trial's present-day status, and FDA labels effective after the cutoff. That makes it possible to judge a claim on what was actually knowable at the time. Runs no model, costs nothing, and returns immediately. Takes the queries worked out when the claim was scoped. Args: queries: 3 to 6 short keyword phrases. Query 1 should be the bare name of the thing claimed about (a drug, compound code, model, or gene); query 2 that
verify_attestation
Verify a Zetesis attestation, confirming an evaluation's claim, evidence, and conclusion have not been altered since it was signed. Use when someone has a Zetesis dossier or attestation and wants to independently re-check it. Args: attestation_json: the full attestation object as JSON text.