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Elicit vs Undermind

Two fact sheets from our own research, side by side — pricing, platforms, API access and status re-checked by us rather than quoted from the vendors. Elicit starts at $49, Undermind at $16. Both have a free tier. Only Elicit ships a public API.

ElicitLiterature review workflow that extracts data into tablesUndermindLiterature search agent that reads candidate papers and follows citation trails instead of ranking keywords.

Side by side

FactElicitUndermind
CategoryAcademic Search & Literature ReviewAcademic Search & Literature Review
Pricing modelFreemiumFreemium
Starts at$49 month$16 month
Public APIYesNo
PlatformsWeb, APIWeb
CompanyElicitUndermind
Launched20212023
Last verifiedSep 6, 2026Sep 6, 2026

What our research says

Elicit

Elicit is the only one of these tools that treats a literature review as a structured extraction job rather than a chat, which is exactly right for the work. The price assumes you are billing someone else for the hours it saves.

Pros

  • Column-per-field extraction into a table is the correct shape for review work and rare elsewhere
  • Free tier is unusually generous: unlimited search, summaries and full-text chat
  • Every claim links back to the paper it came from
  • API access is included from the first paid tier rather than sold separately

Cons

  • The $49 to $169 jump is steep and Scale is priced for institutions, not labs
  • Free tier's limits on the Research Agent and Reports are not quantified anywhere on the pricing page
  • Extraction accuracy still needs spot-checking against the source PDF
  • Coverage is paper-centric, so grey literature and preprint-heavy fields are thinner

Undermind

The search actually reads papers rather than matching keywords, which is why it surfaces work that keyword ranking buries. Runs are slow by design and the free tier's rate limits bite quickly, so it earns its keep only if literature review is a regular part of your week.

Pros

  • Reports how completely it covered a topic, not just a result list
  • Follows citation trails automatically
  • Alerts when new relevant papers appear
  • MCP connection lets Claude or ChatGPT run searches through it

Cons

  • Deep searches take minutes rather than seconds
  • Free tier rate limits are tight
  • No documented public REST API, only the MCP connector

Which one fits

Choose Elicit if you need

  • Systematic reviews and evidence synthesis where every included paper needs the same fields pulled
  • Researchers screening hundreds of abstracts against defined inclusion criteria
  • Pharma, policy and academic teams that need an auditable trail back to sources

Choose Undermind if you need

  • Systematic literature reviews
  • Researchers entering an unfamiliar subfield
  • Tracking new papers on a narrow topic

More comparisons

All Elicit alternatives →All Undermind alternatives →Browse all Academic Search & Literature Review →