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Build an evidence table from a literature review
Research & market intelligence · Business data & reporting · checked 2026-10-17
Run the review in Elicit and pull the extraction table over MCP or export it as CSV, analyze it in Julius AI, and let Claude summarize what the evidence supports. Pair with Consensus for coverage.
Independent review. IonBin has no partnership with any tool on this page and was not paid for this page. Our evaluation is our own, based on public documentation and our research. Product names are trademarks of their owners and are used for identification only. How disclosure works.
Goal
Answer “does X work?” with a table you can defend.
Confirmed means the vendor documents it (linked). It doesn't mean IonBin has tested it. AI-platform and human steps need no source.
Human approval
You check extractions before relying on the summary.
Watch out for
Keep the human approval step: You check extractions before relying on the summary.
Starter prompt
Goal: Answer “does X work?” with a table you can defend. Tools involved: Elicit, Julius AI, Claude. Your part: finds papers and extracts data into a table; reach it through elicit’s mcp server or export the table as csv; summarizes what the evidence supports. Work step by step, show me each draft or proposed change, and wait for my approval before anything is sent, published, signed, filed or changed in a live system.
Assembled from this page’s goal and steps. Paste it into your AI platform and adjust it to your situation.
Computed from the MCP and API steps only: "Confirmed" needs the tool's docs to name the platform and the platform to support the connection. Browser, upload and human steps work from any platform.
What we checked (2026-10-17)
Elicit MCP and API are available on Pro, Scale and Enterprise plans, and they sign in with OAuth.
Exports. Tables export as CSV or Excel, reports as PDF or Word, and references as RIS or BIB. Plus and higher plans can export Research Agent tables. Pro and higher can export Systematic Review tables.
Julius AI has no MCP server, so you upload the CSV yourself. Plus is $16 a month billed annually.
Consensus MCP searches more than 400 million scholarly articles. It’s a useful second search to catch papers Elicit missed.
Set it up
Run the search in Elicit and add the extraction columns you need, such as population, intervention, outcome and effect size.
Export the table as CSV and upload it to Julius for counts and charts.
Ask Claude to summarize what the evidence supports, where it conflicts and where it’s missing.
Check at least one in ten extractions against the papers, plus every row that drives a conclusion.
Sources
Julius AI · Julius AI · official · accessed 2026-10-17
