Zetesis Scientific Due Diligence
Due diligence on life-science claims: omics, trials, gene therapy.
Connector by reutavidan · GitHub account verified by the MCP Registry
Chalk Labs
Need help deploying Zetesis Scientific Due Diligence?
Chalk Labs sets up agents like this inside real teams: connected to your tools, tested on your data, with a human in the loop where it matters.
Install
Works with Claude Code, VS Code, Codex, Cursor, Windsurf, Claude Desktop. Read the repository before you give any tool access to your data.
npx agentmarket install connector/reutavidan-zetesis
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
Remote endpoint
https://api.zetesis.science/mcpRemote (HTTP)
Get the weekly diff
The weekly diff: one email a week with new agent tools, notable updates and grade changes, plus security alerts for tools you follow. Double opt-in, one-click unsubscribe.
About
Reviews
Write a reviewNo reviews yet. Installed it? Reviews come from verified installers only. How reviews work
Permissions
What this server can do and what it asks for, from its tool list, install config and code. Checked Oct 25, 2026.
- Tools
- 4 read · 0 write · 0 deleteRead-only
- Secrets
- 1 (API keys, tokens or passwords)
- Install scripts
- None found
- Runs as
- Python package
Tools by what they do 4
From the running server's own tool list (tools/list) on Oct 25, 2026.
Read 4 · Look things up without changing anything.
evaluate_claimverify_attestationzetesis_evidencezetesis_scope
Secrets and settings it asks for
Secrets: values you paste in that let it act as you.
ZETESIS_TOKEN
Network hosts it talks to 6
api.zetesis.science· found in remote endpoint, install command, codeclinicaltrials.gov· found in codedoi.org· found in codegithub.com· found in codepubmed.ncbi.nlm.nih.gov· found in codezetesis.science· found in code
Files it touches
- Your home directory (~)
Tools (4)
As the server listed them on Oct 25, 2026. Descriptions are the server’s own words; hidden characters are shown as [U+…].
evaluate_claimEvaluate a scientific or AI claimread-onlyRun 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 t…
verify_attestationVerify a Zetesis attestationread-onlyVerify 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.
zetesis_evidenceRetrieve dated public evidence for a claimread-onlyStep 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 cut…
zetesis_scopeScope a claim for evaluationread-onlyScope 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 statisti…
Signals
- Stars
- 0
- Forks
- 0
- Open issues
- 0
- Weekly downloads
- 435
- Last commit
- Oct 17, 2026 (14 days ago)
- Last release
- Oct 17, 2026 (14 days ago)
- Last package publish
- Oct 17, 2026 (14 days ago)
From GitHub (fetched Oct 24, 2026) and the package registry.
Details
- Registry name
io.github.reutavidan/zetesis- Version
- 0.2.2
- Auth
- Auth not stated, API key
- Packages
- pypi zetesis
- License
- MIT
- Repository
- github.com/reutavidan/zetesis
- Website
- zetesis.science
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
Done for you
Rather not set it up yourself?
Chalk Labs scopes, builds and runs agents for your team: the task audit, the eval harness, the integrations and the weekly ops report. Fixed scope, priced before we start.
See how we build AI agents →Read the case studies
Chalk Labs is a two-founder AI and growth studio. We build AI agents, CRMs and MVPs for Web3 and AI companies, and have shipped 50+ product and token launches.
- launches shipped
- 50+
- launches shipped
- media placements
- 500+
- media placements
- founders on every account
- 2
- founders on every account
Press we've placed: Forbes · CoinDesk · Decrypt · Cointelegraph · The Block
Rahil Jain, Co-founder, Chalk Labs. Ex-Goldman Sachs engineer. You talk to the person who builds it.
Get Zetesis Scientific Due Diligence running in your business
Tell us what you want to automate. A founder replies within one working day with a plan, not a pitch deck.
Cite this page
Zetesis Scientific Due Diligence MCP server. Agent Mart. https://agentmart.dev/connectors/reutavidan-zetesis (last updated 2026-10-24)