AI Agent Index
ByHeather MacAvelia·Independently reviewed·Published Mar 18, 2026·Updated Jul 13, 2026
Independently verified against live vendor data on Jul 8, 2026.

AI research assistant for systematic literature reviews across 138M papers and 545K clinical trials. MCP server, full API, SOC 2 certified. Free; Pro $49/mo annual. 5M+ researchers.

How we scored it

Autonomy

5/5

Integrations

5/5

Pricing clarity

3/5

Evidence

5/5

Setup

5/5

The facts

Elicit is the AI research assistant purpose-built for systematic literature reviews, serving 5M+ researchers globally, including teams at NASA, NIH, the U.S. CDC, Harvard, Stanford, Yale, Google, Johnson & Johnson, Takeda, Unilever, and the Gates Foundation. The platform searches 138 million academic papers and 545,000 clinical trials from Semantic Scholar, PubMed, and other academic databases, then autonomously extracts structured data (methodology, sample size, findings, limitations) from each paper for cross-study comparison. Founded as a Public Benefit Corporation in Oakland, California by Andreas Stuhlmuller, Elicit is designed around the end-to-end systematic review workflow: researchers define a question, and Elicit finds relevant papers, extracts key claims, synthesizes findings across studies, and generates structured reports with citations. More than 40 named enterprise and institutional customers are documented on the customer stories page, spanning biotech, pharma, government agencies, and research universities. Elicit publishes an official MCP server at elicit.com/api/mcp, letting Claude Desktop, Claude Code, and any MCP-compatible client access its capabilities programmatically. A full REST API provides endpoints for paper search, clinical trial search, report generation, and systematic review workflows, with API access included on the Pro tier. Zotero import is available on the free tier for bibliography management. The platform integrates with Semantic Scholar and PubMed as primary data sources, with additional academic databases providing supplementary coverage. Notable gap: no native integration with Mendeley, EndNote, or Overleaf for bidirectional reference sync, and no Zapier or Make connectors for automation with non-research tools. Elicit's pricing was restructured in 2025/2026 around two individual tiers plus enterprise. Basic (Free) provides limited Research Agent access, 2 automated reports per month, unlimited search across 138M papers, unlimited paper summaries, unlimited chat with papers including full-text access, and Zotero import. Pro at $49/month ($588/year, a 35% annual saving) provides extended Research Agent access, a dedicated systematic review workflow that can screen 5,000 papers, 144 reports or systematic reviews per year, API access, custom extractions from uploaded papers, explanations for AI-generated answers, multiple output templates, and 10 personalized research alerts. Enterprise pricing is custom. The earlier Plus and lower-priced Pro plans no longer appear on the pricing page. Elicit is designed exclusively for academic and scientific literature and cannot search the open web, company reports, news, or non-peer-reviewed sources. Perplexity AI ($17/mo) provides both web and academic search for broader source coverage. ChatGPT Deep Research ($20/mo) and Gemini Deep Research ($19.99/mo) handle cross-domain research without the academic-only constraint. Consensus ($12/mo) offers a lower-cost entry point for academic search with the Consensus Meter for agreement synthesis, though without dedicated systematic review workflows. SciSpace ($12/mo billed annually) provides multiple specialized agents including a Biomedical Agent and PRISMA support at lower cost for researchers not needing the systematic review depth that justifies the $49/month Pro tier. The jump from 2 free reports per month to Pro at $49/month is a significant gap for researchers needing moderate but not intensive systematic review access. Elicit raised $22M in a Series A (February 2025) led by Spark Capital and Footwork at a $100M valuation, bringing total funding to $31M. SOC 2 Type II certification was achieved in October 2025, with audit reports available under NDA. The official MCP server at elicit.com/api/mcp integrates with Claude Desktop, Claude Code, and all MCP-compatible clients. The platform now serves 5M+ researchers (up from 400,000 at the Series A), with 40+ named enterprise and institutional customers on the customer stories page, including NASA, NIH, the U.S. CDC, Harvard, Stanford, Yale, Google, Johnson & Johnson, Takeda, Unilever, Fresenius, RAND Corporation, and the Gates Foundation. The corpus expanded to 138M papers and 545,000 clinical trials. Pricing was restructured from the earlier Plus/Pro model to a Basic (Free) and Pro ($49/month) structure.

Pricing

freemium · $49/mo annual

View pricing ↗

Segment

b2c

Setup

easy

Verified

Jul 8, 2026

Transparency

Partial

Contract

Monthly or Annual

Data training

Not Disclosed

Autonomy

Human Optional

Capabilities

deep-researchcitationsdata-analysispdf-analysisautonomousweb-search

Pros & Limitations

Editorial assessment

Pros

  • Autonomous systematic review workflow screens 5,000 papers, extracts structured data (methodology, sample size, findings, limitations) into comparable tables, and generates cited reports without manual per-paper direction, compressing the most time-intensive step in academic research from weeks to minutes.
  • Exceptional institutional adoption: 40+ named customers on the customer stories page, including NASA, NIH, the CDC, Harvard, Stanford, Yale, Google, Johnson & Johnson, Takeda, and Unilever, alongside 5M+ total researchers. This is the strongest institutional validation of any AI research assistant in the index, confirming production reliability for high-stakes scientific and clinical work.
  • Official MCP server, full REST API, and SOC 2 Type II certification position Elicit as enterprise-ready research infrastructure: developers integrate systematic review capabilities into custom workflows via Claude Desktop, Claude Code, or any MCP-compatible client, with audit-grade security compliance.

Limitations

  • Academic literature only, with no web, news, or business source coverage: researchers needing open-domain research must pair Elicit with Perplexity AI ($17/mo) or ChatGPT Deep Research ($20/mo) for questions extending beyond the peer-reviewed corpus.
  • Significant pricing gap between free and paid tiers: Basic provides only 2 reports per month, and Pro at $49/month ($588/year) is four to five times the cost of Consensus ($12/mo) or SciSpace ($12/mo billed annually), a steep entry barrier for researchers needing moderate systematic review access.
  • Thin public review trail despite heavy institutional adoption: Elicit has 1 Capterra review and an unclaimed G2 profile with 0 reviews as of Q3 2026, so procurement teams relying specifically on peer-review platforms have less to go on than the customer logo wall and case studies provide.

Technical Details

Deployment
web
Model architectureProprietary systematic-review pipeline over a 138M-paper corpus with third-party LLMs for extraction and synthesis
Avg setup time< 5 minutes (web app, free tier available immediately)
Autonomous rateFully autonomous: Elicit searches 138M papers and 545K clinical trials, extracts structured data from each relevant paper, synthesizes findings across studies, and generates cited literature reviews and systematic reports without manual per-paper direction. Systematic review workflow screens up to 5,000 papers per review. Per-report pricing structures each output as an independent resolution.
Integrations
MCP ServerAPISemantic ScholarPubMedOpenAlexClinicalTrials.govCSV Export
Security
SOC 2 Type II

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Rating

4.9/ 5

Editorial score

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Recognition

Rated 4.9 ★Category Leader · Q3 2026MCP Server VerifiedListed 2026
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Industries

AcademiaResearchPharmaHealthcare

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