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VerdictPal · editorial desk · updated 16 Oct 2026VerdictPal
Compare · Head-to-head

Connected Papers vs Consensus: pricing, privacy & capabilities

Put two dossiers side by side: fit, cost, privacy, and the failure modes that actually change the choice.
ToolsModels

Compare · Tool A / Tool B·Head-to-head

Connected PapersvsConsensus

These tools sit in different sets (Academic discovery vs Research assistant), so picking one over the other is mostly a question of which job you're doing. Connected Papers wins on citation honesty, speed, and value for money; Consensus wins on privacy controls. For the canonical workflow, pick Consensus. Use Connected Papers when its niche specifically wins above.

Connected Papers · avg
67
wins 6 of 16
Consensus · avg
63
wins 3 of 16
Fields differ
13
of 16 dossier rows
Receipts
20
sources + bench notes

Checked 2026-10-09 · Connected Papers·Checked 2026-10-13 · Consensus

Dossier fields

Sixteen fields, side by side.

No.FieldConnected PapersConsensus
01Status · Editorial quality gateSolidFlagship
02Editorial fit · 0–100 score75 / 10058 / 100
03CategoryAcademic discoveryResearch assistant
04Primary surfaceConsumer appConsumer app
05Modalities
  • Text
  • Data
  • Text
06Role in a stackVisual literature mapping and seed-paper explorationCited academic Q&A and claim-level literature scanning
07Best for
  • Getting a visual overview of a new academic field from one known paper
  • Finding prior and derivative works around a seed article
  • Students who need a lightweight map before deeper database searching
  • Labs, groups, and libraries that want a simple visual literature analysis surface
  • Fast yes/no or claim-shaped research questions that need peer-reviewed citations
  • Students who need a first-pass literature answer with links back to papers
  • Comparing paper-level evidence before deciding whether to run a deeper review
  • Users who want Research Agent style multi-step search planning and academic filters
08Avoid if
  • You need exhaustive systematic-search recall or PRISMA audit trails
  • Your topic depends on books, niche non-English work, very new work, or metadata outside the graph’s coverage
  • You need more than five graphs/month but cannot justify Academic/Business pricing
  • You interpret graph proximity as relevance without reading abstracts, methods, and citations
  • You need a full systematic-review workflow with reproducible search strings, screening audit trails, and PRISMA documentation
  • You plan to cite summaries without opening the underlying papers
  • Your topic depends heavily on books, policy documents, grey literature, or sources outside its scholarly corpus
  • You need a completely transparent ranking/corpus methodology for final evidence grading
09Capabilities tracked
  • Similarity graphs
  • prior works
  • derivative works
  • multi-origin graphs
  • saved papers
  • graph history
  • Semantic Scholar Paper Corpus / S2 ORC basis
  • hundreds of millions of papers across scientific fields
  • free 5 graphs/month
  • Academic/Business unlimited plans
  • group plans
  • Academic Library access
  • AI academic search
  • cited answers
  • Research Agent
  • multi-step search planning
  • Pro Analysis
  • Ask Paper
  • advanced filters
  • paper lists
  • institution links
  • Zotero integration
  • incognito mode
  • history controls
10Failure modes · Documented, not buried
  • Graphs can over-represent well-cited papers
  • Visual proximity can imply relevance prematurely
  • Underlying Semantic Scholar/S2 ORC corpus gaps become graph blind spots
  • Free quota constrains exploration
  • Search queries, seed papers, saved papers, and graph history expose research interests
  • Group/library access does not solve methodological completeness
  • AI summaries can over-compress uncertainty
  • Retrieval/ranking can make a field look settled
  • Academic-paper corpus can miss books, policy, and niche sources
  • Agent workflows can still miss important search terms
  • UX may encourage citing answer text instead of papers
11Evidence levelSynthesizedSynthesized
12Sources verified · Receipts on the dossier
13Benchmark entriesNone recordedNone recorded
14Alternatives tracked
  • Research Rabbit
  • Litmaps
  • Semantic Scholar
  • VOSviewer
  • Elicit
  • Elicit
  • Scite
  • Semantic Scholar
  • Perplexity
  • Connected Papers
15Pricing checked2026-10-092026-10-13
16Last verified2026-10-092026-10-13
16 metrics

Sixteen numbers, one shared midline.

Connected PapersvsConsensus

These tools sit in different sets (Academic discovery vs Research assistant), so picking one over the other is mostly a question of which job you're doing. Connected Papers wins on citation honesty, speed, and value for money; Consensus wins on privacy controls. For the canonical workflow, pick Consensus. Use Connected Papers when its niche specifically wins above.

  1. Editorial fit
    Connected Papers75Consensus58
  2. Source quality
    Connected Papers55Consensus55
  3. Citation honesty
    Connected Papers66Consensus58
  4. Privacy controls
    Connected Papers36Consensus40
  5. Value for money
    Connected Papers90Consensus70
  6. Speed
    Connected Papers70Consensus58
  7. Integration
    Connected Papers61Consensus60
  8. Onboarding
    Connected Papers70Consensus58
  9. Reliability
    Connected Papers70Consensus70
  10. Feature depth
    Connected Papers94Consensus94
  11. Data portability
    Connected Papers49Consensus59
  12. Transparency
    Connected Papers98Consensus98
  13. Ecosystem reach
    Connected Papers61Consensus60
  14. Documentation
    Connected Papers55Consensus55
  15. Independence
    Connected Papers36Consensus40
  16. Affordability
    Connected Papers89Consensus71
Connected Papers · avg 67 · wins 6 of 160avg 63 · wins 3 of 16 · Consensus
EvidenceConnected Papers 2 · Consensus 1
  1. 01Editorial fit
    75
    58
  2. 02Source quality
    55
    55
  3. 03Citation honesty
    66
    58
  4. 04Privacy controls
    36
    40
PrivacyConnected Papers 3 · Consensus 0
  1. 05Value for money
    90
    70
  2. 06Speed
    70
    58
  3. 07Integration
    61
    60
  4. 08Onboarding
    70
    58
CapabilityConnected Papers 0 · Consensus 1
  1. 09Reliability
    70
    70
  2. 10Feature depth
    94
    94
  3. 11Data portability
    49
    59
  4. 12Transparency
    98
    98
Cost & fitConnected Papers 1 · Consensus 1
  1. 13Ecosystem reach
    61
    60
  2. 14Documentation
    55
    55
  3. 15Independence
    36
    40
  4. 16Affordability
    89
    71
TOOL A · Connected Papers
Academic discovery
Connected Papers
75/100
ROLEVisual literature mapping and seed-paper exploration
Editorial fit
75
Source quality
55
Citation honesty
66
Privacy controls
36
Value for money
90
Speed
70
FREE
CUSTOMAcademic
CUSTOMBusiness
SolidVerified 2026-10-09VP·METHOD

Visual literature mapping and seed-paper exploration — Visual academic discovery tool that builds similarity graphs from a seed paper to surface related, prior, derivative, and multi-origin paper clusters for literature mapping.

TOOL B · Consensus
Research assistant
Consensus
58/100
ROLECited academic Q&A and claim-level literature scanning
Editorial fit
58
Source quality
55
Citation honesty
58
Privacy controls
40
Value for money
70
Speed
58
FREE
$20/MOPro (monthly)
$144/YRPro (annual)
FlagshipVerified 2026-10-13VP·METHOD

Cited academic Q&A and claim-level literature scanning — AI academic search engine for cited answers, claim-level literature Q&A, Research Agent workflows, paper analysis, and deeper review-style summaries over a large peer-reviewed research corpus.

Privacy facets

Where each tool is actually private.

Connected PapersConsensus
Training on your dataUnknownUnknown: Not recorded as a plan-wide guarantee. Check the dossier's privacy notes and sources.YesYes: Consensus says it does not use your personal or non-personal information to train large language models, or send user data to third parties for that purpose. You do not need to opt out of that stated use. Its privacy policy covers the website and mobile apps without different training rules for free, paid, team or enterprise accounts; it does not set out a separate API training rule. This is a promise about LLM training, not a promise that your searches are never stored or processed. Source: Consensus, Privacy policy (linked in Sources)
EU data residencyUnknownUnknown: Not recorded as a plan-wide guarantee. Check the dossier's privacy notes and sources.UnknownUnknown: Unknown
SOC 2 attestationUnknownUnknown: Not recorded as a plan-wide guarantee. Check the dossier's privacy notes and sources.UnknownUnknown: Unknown
Local-first by defaultUnknownUnknown: Not recorded as a plan-wide guarantee. Check the dossier's privacy notes and sources.UnknownUnknown: Unknown
Capability split

What each tool does uniquely.

Only Connected Papers12

  • Similarity graphs
  • prior works
  • derivative works
  • multi-origin graphs
  • saved papers
  • graph history
  • Semantic Scholar Paper Corpus / S2 ORC basis
  • hundreds of millions of papers across scientific fields
  • free 5 graphs/month
  • Academic/Business unlimited plans
  • group plans
  • Academic Library access

Shared0

No overlap detected.

Only Consensus12

  • AI academic search
  • cited answers
  • Research Agent
  • multi-step search planning
  • Pro Analysis
  • Ask Paper
  • advanced filters
  • paper lists
  • institution links
  • Zotero integration
  • incognito mode
  • history controls
Failure modes

Where each tool breaks.

Connected Papers

  • Graphs can over-represent well-cited papers
  • Visual proximity can imply relevance prematurely
  • Underlying Semantic Scholar/S2 ORC corpus gaps become graph blind spots
  • Free quota constrains exploration
  • Search queries, seed papers, saved papers, and graph history expose research interests
  • Group/library access does not solve methodological completeness

Consensus

  • AI summaries can over-compress uncertainty
  • Retrieval/ranking can make a field look settled
  • Academic-paper corpus can miss books, policy, and niche sources
  • Agent workflows can still miss important search terms
  • UX may encourage citing answer text instead of papers
Pricing

Pulled straight from each dossier.

Connected Papers

Academic discovery
  • FREE
  • CUSTOMAcademic
  • CUSTOMBusiness

raw · Free: 5 graphs/month with all features. Academic and Business: unlimited graphs/all features. Group plans add seat management and single invoice. Academic Library offers unlimited graphs, all features, open access for students/staff, and email/IP/SSO access options.

Consensus

Research assistant
  • FREE
  • $20/MOPro (monthly)
  • $144/YRPro (annual)

raw · Free $0 · Pro $20/mo or $144/yr ($12/mo annual) · Deep $65/mo or $540/yr ($45/mo annual) · Teams/Enterprise custom · verified students and faculty: 40% off Pro for 12 months · clinicians: 25% off.

Verdict

Which tool to actually pick.

These tools sit in different sets (Academic discovery vs Research assistant), so picking one over the other is mostly a question of which job you're doing. Connected Papers wins on citation honesty, speed, and value for money; Consensus wins on privacy controls. For the canonical workflow, pick Consensus. Use Connected Papers when its niche specifically wins above.

Open Connected Papers's dossierOpen Consensus's dossier
Try Connected Papers ↗Try Consensus ↗

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Questions this comparison answers

Every answer below is assembled from the dated fields on this page. Nothing is written separately for search.

Should you use Connected Papers or Consensus?

These tools sit in different sets (Academic discovery vs Research assistant), so picking one over the other is mostly a question of which job you're doing. Connected Papers wins on citation honesty, speed, and value for money; Consensus wins on privacy controls. For the canonical workflow, pick Consensus. Use Connected Papers when its niche specifically wins above.

What can Connected Papers do that Consensus cannot?

Capabilities documented on the Connected Papers tool but not the Consensus tool:

  • Similarity graphs
  • prior works
  • derivative works
  • multi-origin graphs
  • saved papers
  • graph history
  • Semantic Scholar Paper Corpus / S2 ORC basis
  • hundreds of millions of papers across scientific fields
  • free 5 graphs/month
  • Academic/Business unlimited plans
  • group plans
  • Academic Library access

What can Consensus do that Connected Papers cannot?

Capabilities documented on the Consensus tool but not the Connected Papers tool:

  • AI academic search
  • cited answers
  • Research Agent
  • multi-step search planning
  • Pro Analysis
  • Ask Paper
  • advanced filters
  • paper lists
  • institution links
  • Zotero integration
  • incognito mode
  • history controls

Is Connected Papers or Consensus cheaper?

Connected Papers: Free Free · Academic Custom · Business Custom · Group Academic Custom · Group Business Custom. Consensus: Free Free · Pro (monthly) $20/mo · Pro (annual) $144/yr · Deep (monthly) $65/mo · Deep (annual) $540/yr · Teams Custom · Enterprise Custom.

How do Connected Papers and Consensus score against each other?

On editorial fit, Connected Papers scores 75 out of 100 and Consensus scores 58 out of 100. The score is a fit judgement for source-heavy research work, not a quality ranking — read both dossiers before you pick.