← All toolsDOSSIER · Academic discovery · SOLID · VERIFIED 2026-06-09
Scite70SolidBenchmark pendingCitation-context and evidence-positioning toolVerified 2026-06-09

Dossier · Academic discovery

Scite

Citation-context and evidence-positioning tool · last verified 2026-06-09

Solid
Academic discovery
Scite
70/100
ROLECitation-context and evidence-positioning tool
Editorial fit
70
Source quality
52
Citation honesty
72
Privacy controls
36
Value for money
68
Speed
70
FREEFree
$20/MOPersonal
CUSTOMInstitutional
SolidVerified 2026-06-09VP·METHOD

Scite flagship-ready dossier: Citation-context and evidence-positioning tool.

What is Scite?

Scite is a tool in the VerdictPal Academic discovery set: Research platform that analyzes citation contexts and classifies citations as supporting, contrasting, or mentioning, with Smart Citations, Scite Assistant, Reference Check, search, dashboards, alerts, API, MCP, and organization analytics. It scores 70 out of 100 on editorial fit.

Role: Citation-context and evidence-positioning toolCategory: Academic discoverySynthesized
Scite at a glance, with the date each field was checked.
FieldValue
Editorial fit70 out of 100
Dossier statusSolid
SetAcademic discovery
Role in a workflowCitation-context and evidence-positioning tool
PricingFree Free · Personal $20/mo · Institutional Custom
Training on your dataNot recorded as a plan-wide guarantee. Check the dossier's privacy notes and sources.
Last verified2026-06-09

Editor's note

Scite is valuable because it asks a better citation question. VerdictPal should still make users read the passage: a Smart Citation label is a lead, not a verdict.

Public facts · vendor & repo

List prices and pay-as-you-go entry points we can cite without running our own bench. Each tile links to a source when possible.

Academic discoverySetVerdictPal tool
synthesizedEvidenceQuality gate
7Sources checkedSources
2026-06-07Pricing checkedQuality gate

Limits & product surface

Non-price vendor claims — multipliers, caps, and API scope. Detailed matrices live in subscription and SDK sections below.

Primary surface
prosumer-saasTool identity
Modalities
text, dataTool identity
Workflow roles
[object Object], [object Object], [object Object]VerdictPal editorial
Alternatives tracked
Elicit, Consensus, Semantic Scholar, Connected Papers, PubMedVerdictPal comparison set

How it works · agent loop

The public positioning for this product — the loop we score against on VerdictPal.

Start with the wedge

Checking whether later papers support, contrast, or merely mention a claim

Run the representative task

Check 10 focal papers and manually verify sampled support/contrast/mention labels against citing passages.

Check the failure modes

Citation classification can misread nuance

Compare before recommending

Compare against Elicit, Consensus, Semantic Scholar before shipping advice.

Who it fits, where it fails

Best for

  • Checking whether later papers support, contrast, or merely mention a claim
  • Researchers evaluating a paper’s citation context beyond raw citation count
  • Literature-review workflows that need citation reports, alerts, Reference Check, and grounded AI answers
  • Institutions connecting Scite to ChatGPT, Claude, or other MCP-compatible AI clients

Avoid if

  • You need the cheapest student research assistant and your library does not license Scite
  • You treat Smart Citation labels as final truth without opening citing passages
  • Your field has sparse citation coverage or relies heavily on books, policy, non-indexed sources, or references without DOIs
  • You need a full systematic-review workflow rather than citation-context triage

Strengths

  • Smart Citations
  • support/contrast/mention contexts
  • Scite Assistant
  • search
  • dashboards
  • collections
  • reports
  • alerts
  • Reference Check
  • Scite MCP
  • Scite API
  • organization analytics
  • patents/clinical trials/grants in MCP release notes

Weaknesses

  • Citation classification can misread nuance
  • Reference Check can miss non-DOI/difficult-format sources
  • News/policy/books may be weakly represented
  • Subscription cost may require library access
  • Citation context does not replace methodological appraisal
  • Uploads/searches create a cloud-processing boundary

How it could improve

  • Citation accuracy needs investment. A citation-verification pass against Semantic Scholar or CrossRef before presenting a source would catch the worst fabrication errors.
  • Citation accuracy needs investment. A citation-verification pass against Semantic Scholar or CrossRef before presenting a source would catch the worst fabrication errors.
  • Institutional policy friction could be reduced with a local/on-prem deployment option, or at minimum with clear data-handling documentation that compliance teams can review without an NDA.
  • Privacy posture scores 36/100, the weakest dimension on this dossier. Addressing this would meaningfully raise the editorial fit.
  • Evidence strength scores 52/100, the weakest dimension on this dossier. Addressing this would meaningfully raise the editorial fit.

Search modes · 4 lenses

One input box, many retrieval postures. Filter by tier.

01Free

Workspace

Workspace path for Scite — verify limits on the live product.

02Pro

Collaboration

Collaboration path for Scite — verify limits on the live product.

03Pro

Automation

Automation path for Scite — verify limits on the live product.

04Max

Admin & billing

Admin & billing path for Scite — verify limits on the live product.

Competitive lens

Where Scite wins for cited research — and where a rival still belongs in the stack.

Scite is stronger when checking whether later papers support, contrast, or merely mention a claim; Elicit may still win for narrower fit, procurement, or specialist depth.

Scite

  • Checking whether later papers support, contrast, or merely mention a claim
  • Researchers evaluating a paper’s citation context beyond raw citation count

Elicit

  • You need the cheapest student research assistant and your library does not license Scite
  • You treat Smart Citation labels as final truth without opening citing passages

Scores and evidence

Metric lab · 16 dimensions

Click a tile for the editorial note. Color follows score: coral, yellow, mint.

Shape

Avg 71 · 36–100

70Editorial fit

Weighted roll-up across 13 dimensions for Academic discovery; pending desk verification if rescored from public facts.

By group

Fit79
  • Editorial fit70
  • Wedge task fit68
  • Feature depth100
Cost63
  • Free-tier utility67
  • Cost-to-value68
  • Opportunity cost55
Trust72
  • Source grounding72
  • Privacy posture36
  • Failure transparency100
  • Evidence strength52
  • Transparency100
Workflow69
  • Integration reach75
  • Setup friction70
  • Reliability70
  • Competitive position75
  • Data portability55

Benchmark ledger

Public rows are vendor or third-party claims we logged with a date. Desk rows are reserved for VerdictPal self-run results.

MeasureResultSource
Check 10 focal papers and manually verify sampled support/contrast/mention labels against citing passagescorrect label rate, nuance errors, missing context, field coverage, decision impact.PlannedVerdictPal benchmark plan
Upload/check a manuscript bibliography with DOI, non-DOI, policy, and news referencesmatch rate, missed references, false matches, usefulness of warnings, privacy friction.PlannedVerdictPal benchmark plan
Ask ChatGPT/Claude with Scite MCP to answer 10 literature questionscitation support, hallucination reduction, source coverage, admin analytics, setup friction.PlannedVerdictPal benchmark plan
Compare Scite, Semantic Scholar, Google Scholar, and Consensus for 10 contested claimstime to understand evidence position, source quality, label/summary correctness, cost justification.PlannedVerdictPal benchmark plan

Editorial evidence · 0 entries

No editorial benchmark yet. The tool stays at status Solid until evidence lands.

Test scenarios · hands-on lab

How we exercised the product. Step through each run before you trust the scores.

Test run

Step 1 of 4

Start from the persona in best-for item 1.

Research log · desk notes

What we learned while building this dossier — not vendor copy.

Notion Tool pipeline (Card pipeline)

Notion research pass

Scite is the citation-context tool. It is valuable because it asks a better question than raw citation count: did later papers support, contrast, or merely mention the claim? This pass strengthens the tool with Scite’s current Smart Citations, MCP, API, publisher/full-text coverage, privacy-policy, and reference-check caveats. The public recommendation remains gated until label accuracy is benchmarked against actual citing passages.

VerdictPal git

Flagship-ready structure

Converted imported research into metrics, panes, scenarios, benchmark rows, comparison notes, and pricing deck.

What it costs, what it keeps

Pricing deck · checked 2026-06-09

RAW · checked 2026-06-09: Scite’s public pricing page timed out during this pass, so keep exact consumer pricing tied to live verification before publishing. Existing desk notes list Basic / Pro / Organization surfaces; current official pages emphasize organization demos, MCP/API access, and Pro access to patents, clinical trials, and grants in MCP release notes.

Privacy deep-dive · checked 2026-06-09

Scite privacy policy effective 2026-03-26 says it may collect and process personal information through use of its website, products, services, and from academic/scientific publications. Treat searches, uploads, Reference Check, Assistant queries, MCP use, and API calls as cloud-processed unless institution-specific terms say otherwise.

Training on your dataNot recorded as a plan-wide guarantee. Check the dossier's privacy notes and sources.
EU data residencyNot recorded as a plan-wide guarantee. Check the dossier's privacy notes and sources.
SOC 2 attestationNot recorded as a plan-wide guarantee. Check the dossier's privacy notes and sources.
Local-first by defaultNot recorded as a plan-wide guarantee. Check the dossier's privacy notes and sources.

Under the hood

Vendors named on the product about page — useful for procurement and privacy reviews.

citation context checks
Scite
smart citations in manuscripts
Elicit
literature triage
Consensus

Alternatives and context

Workflow roles

How this tool fits into a composed research stack:

citation context checkssmart citations in manuscriptsliterature triage

Appears in

Composed workflows on VerdictPal that reference this tool, not vendor marketing.

Stacks

  • Peer review stackReviewers who have to do citation work on a manuscript they are not allowed to upload anywhere.

Playbooks

  • Manuscript reviewReviewers holding a manuscript that is not theirs to share, with a report due.

Deep panes · 6 lenses

Editorial lenses only. Subscription and API pricing live in their own sections above.

Sources and provenance

Quality gate · Solid

Evidence ready
Benchmark pending

Verdict history

  • Scite is the citation-context tool. It is valuable because it asks a better question than raw citation count: did later papers support, contrast, or merely mention the claim? This pass strengthens the tool with Scite’s current Smart Citations, MCP, API, publisher/full-text coverage, privacy-policy, and reference-check caveats. The public recommendation remains gated until label accuracy is benchmarked against actual citing passages.
  • Converted imported Notion research into a full flagship-ready dossier template with metrics, panes, pricing deck, scenarios, benchmark rows, and comparison slices.

Related dossiers

Browse the atlas

Questions this dossier answers

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

Is Scite worth using?

Scite scores 70 out of 100 on editorial fit and carries Solid dossier status. Its job in a research workflow is: Citation-context and evidence-positioning tool.

Who is Scite best for?

Scite earns its place when you need:

  • Checking whether later papers support, contrast, or merely mention a claim
  • Researchers evaluating a paper’s citation context beyond raw citation count
  • Literature-review workflows that need citation reports, alerts, Reference Check, and grounded AI answers
  • Institutions connecting Scite to ChatGPT, Claude, or other MCP-compatible AI clients

When should you not use Scite?

Skip Scite in these cases:

  • You need the cheapest student research assistant and your library does not license Scite
  • You treat Smart Citation labels as final truth without opening citing passages
  • Your field has sparse citation coverage or relies heavily on books, policy, non-indexed sources, or references without DOIs
  • You need a full systematic-review workflow rather than citation-context triage

What does Scite cost?

Free Free · Personal $20/mo · Institutional Custom. Pricing last checked 2026-06-09.

Does Scite train on your data?

Not recorded as a plan-wide guarantee. Check the dossier's privacy notes and sources.. Privacy terms last checked 2026-06-09.

What goes wrong with Scite?

The dossier publishes 6 failure modes for Scite, and they stay published whether or not the vendor likes them:

  • Citation classification can misread nuance
  • Reference Check can miss non-DOI/difficult-format sources
  • News/policy/books may be weakly represented
  • Subscription cost may require library access
  • Citation context does not replace methodological appraisal
  • Uploads/searches create a cloud-processing boundary

What are the alternatives to Scite?

The closest options to Scite are Elicit, Consensus, Semantic Scholar, Connected Papers, PubMed. Each one that has a tool in the atlas is linked from this dossier, with a head-to-head comparison.

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