vs Consensus
vs FutureHouse Platform
vs Undermind
vs Sakana Marlin
vs Gemini Notebook (NotebookLM)Verified integrations
No integration evidence found in our corpus for this product yet — that means none was found, never that it doesn’t integrate.
By theme — the product's score on each story themeBy theme
Agenticness — how well agents can access and operate the productAgenticnessevidence →
How well agents can access and operate the product
Automation depth — how much of the product can run unattendedAutomation depthevidence →
How much of the product can run unattended
Collaboration sharing — stories about collaboration sharing in this arenaCollaboration sharingevidence →
Stories about collaboration sharing in this arena
Literature workflow — stories about literature workflow in this arenaLiterature workflowevidence →
Stories about literature workflow in this arena
Openness — open source, data portability, and self-hosting storiesOpennessevidence →
Open source, data portability, and self-hosting stories
Pricing limits — free-tier ceilings, usage caps, and rate limits before you have to payPricing limitsevidence →
Free-tier ceilings, usage caps, and rate limits before you have to pay
Privacy posture — data-handling and privacy storiesPrivacy postureevidence →
Data-handling and privacy stories
Report output — stories about report output in this arenaReport outputevidence →
Stories about report output in this arena
Research depth — stories about research depth in this arenaResearch depthevidence →
Stories about research depth in this arena
Source quality — stories about source quality in this arenaSource qualityevidence →
Stories about source quality in this arena
Story verdicts — every judged story with its evidenceStory verdicts
What’s free: 0 free · 3 paid · 0 enterprise · 19 not stated in evidence
Follow the green: where the map greys out is where Elicit stops today. ✓ full · ~ partial · ! disputed · — none · n/a not applicable.
Agenticness — how well agents can access and operate the productAgenticness
How well agents can access and operate the product
API surface
Drive the product through a documented public API
✓8/10
unlocks → Webhooks · Scoped API keys · Machine-readable spec · Versioning policy · Official CLI
Subscribe to events via webhooks
—0/10
Build against official SDKs
~6/10
Issue scoped/least-privilege API credentials for an agent
—0/10
Connect an agent via an official MCP server
✓8/10
Download a machine-readable API spec (OpenAPI or equivalent)
—0/10
Rely on versioned APIs with a documented deprecation policy
—0/10
Test against a sandbox environment without touching production data
n/an/a
Explore an interactive API reference with runnable examples
—0/10
Docs for agents
Point an agent at llms.txt or agent-oriented docs
✓8/10
Agentic features
Delegate tasks to a built-in AI assistant inside the product
✓8/10
unlocks → MCP client · AI insights
Operate the product with natural-language commands
✓7/10
Plug MCP servers into this product so it can use their tools
—0/10
Get AI-generated insights and suggestions from my data inside the product
!5/10
Set up automations that run autonomously in the background
~5/10
Automation depth — how much of the product can run unattendedAutomation depth
How much of the product can run unattended
Collaboration sharing — stories about collaboration sharing in this arenaCollaboration sharing
Stories about collaboration sharing in this arena
Literature workflow — stories about literature workflow in this arenaLiterature workflow
Stories about literature workflow in this arena
Openness — open source, data portability, and self-hosting storiesOpenness
Open source, data portability, and self-hosting stories
Pricing limits — free-tier ceilings, usage caps, and rate limits before you have to payPricing limits
Free-tier ceilings, usage caps, and rate limits before you have to pay
Privacy posture — data-handling and privacy storiesPrivacy posture
Data-handling and privacy stories
Report output — stories about report output in this arenaReport output
Stories about report output in this arena
Research depth — stories about research depth in this arenaResearch depth
Stories about research depth in this arena
Agent runs
Source quality — stories about source quality in this arenaSource quality
Stories about source quality in this arena
Sorted by importance (agentic first) (high → low) · 43/43 stories · click a row’s chevron for the rationale and evidence
Connect an agent via an official MCP server G Agent access | ai-native user | Agenticness — how well agents can access and operate the productAgenticness | 3 | full | 8/10 | Cclaimed | |
Delegate tasks to a built-in AI assistant inside the product G Agentic features | ai-native user | Agenticness — how well agents can access and operate the productAgenticness | 3 | full | 8/10 | Xcommunity | |
Drive the product through a documented public API G Agent access | ai-native user | Agenticness — how well agents can access and operate the productAgenticness | 3 | full | 8/10 | Tprobed | |
Plug MCP servers into this product so it can use their tools G Agent access | ai-native user | Agenticness — how well agents can access and operate the productAgenticness | 3 | none | 0/10 | ||
Point an agent at llms.txt or agent-oriented docs G Agent access | ai-native user | Agenticness — how well agents can access and operate the productAgenticness | 2 | full | 8/10 | Tprobed | |
Operate the product with natural-language commands G Agentic features | ai-native user | Agenticness — how well agents can access and operate the productAgenticness | 2 | full | 7/10 | Xcommunity | |
Build against official SDKs G Agent access | ai-native user | Agenticness — how well agents can access and operate the productAgenticness | 2 | partial | 6/10 | Cclaimed | |
Run the product headlessly / in CI for automation G Agent access | ai-native user | Agenticness — how well agents can access and operate the productAgenticness | 2 | partial | 6/10 | Cclaimed | |
Get AI-generated insights and suggestions from my data inside the product G Agentic features | ai-native user | Agenticness — how well agents can access and operate the productAgenticness | 2 | disputed | 5/10 | Dcontradicted | |
Set up automations that run autonomously in the background G Agentic features | ai-native user | Agenticness — how well agents can access and operate the productAgenticness | 2 | partial | 5/10 | Cclaimed | |
Download a machine-readable API spec (OpenAPI or equivalent) G Api quality | ai-native user | Agenticness — how well agents can access and operate the productAgenticness | 2 | none | 0/10 | ||
Explore an interactive API reference with runnable examples G Api quality | ai-native user | Agenticness — how well agents can access and operate the productAgenticness | 2 | none | 0/10 | ||
Issue scoped/least-privilege API credentials for an agent G Agent access | ai-native user | Agenticness — how well agents can access and operate the productAgenticness | 2 | none | 0/10 | ||
Rely on versioned APIs with a documented deprecation policy G Api quality | ai-native user | Agenticness — how well agents can access and operate the productAgenticness | 2 | none | 0/10 | ||
Subscribe to events via webhooks G Agent access | ai-native user | Agenticness — how well agents can access and operate the productAgenticness | 2 | none | 0/10 | ||
Use an official CLI G Agent access | ai-native user | Agenticness — how well agents can access and operate the productAgenticness | 2 | none | 0/10 | ||
Test against a sandbox environment without touching production data G Api quality | ai-native user | Agenticness — how well agents can access and operate the productAgenticness | 1 | n/a | untested | none yet | |
Get a structured report with sections, tables, and a summary that I can share with stakeholders C Reports | analyst | Report output — stories about report output in this arenaReport output | 3 | fullpaid | 8/10 | Cclaimed | |
Export all of my data in open formats and leave G | ai-native user | Openness — open source, data portability, and self-hosting storiesOpenness | 3 | partialpaid | 6/10 | Cclaimed | |
Pose a research question and get an autonomous multi-step investigation, not just a single-pass summary C Agent runs | researcher | Research depth — stories about research depth in this arenaResearch depth | 3 | partial | 6/10 | Xcommunity | |
See citations for every substantive claim so I can verify it against the underlying source C Citations | researcher | Source quality — stories about source quality in this arenaSource quality | 3 | disputed | 5/10 | Dcontradicted | |
Define rules that trigger actions automatically on events G | ai-native user | Automation depth — how much of the product can run unattendedAutomation depth | 3 | partial | 3/10 | Cclaimed | |
Prevent my data from being used to train AI models G | ai-native user | Privacy posture — data-handling and privacy storiesPrivacy posture | 3 | none | untested | none yet | |
Self-host the core product G | ai-native user | Openness — open source, data portability, and self-hosting storiesOpenness | 3 | n/a | untested | none yet | |
Search scholarly literature and primary sources, not just the open web C Corpus | researcher | Source quality — stories about source quality in this arenaSource quality | 2 | full | 9/10 | Cclaimed | |
Perform bulk operations across many items at once G | ai-native user | Automation depth — how much of the product can run unattendedAutomation depth | 2 | full | 8/10 | Cclaimed | |
Run a systematic screening and extraction workflow across many papers with consistent criteria C Reviews | researcher | Literature workflow — stories about literature workflow in this arenaLiterature workflow | 2 | full | 8/10 | Xcommunity | |
Share a research session or report with collaborators who can view or build on it C Sharing | analyst | Collaboration sharing — stories about collaboration sharing in this arenaCollaboration sharing | 2 | full | 8/10 | Cclaimed | |
Upload my own PDFs or corpus and have the agent research over them C Corpus | researcher | Literature workflow — stories about literature workflow in this arenaLiterature workflow | 2 | full | 7/10 | Xcommunity | |
See where sources agree and disagree instead of a single unqualified answer C Synthesis | analyst | Source quality — stories about source quality in this arenaSource quality | 2 | partial | 5/10 | Xcommunity | |
Do everything through the API that I can do in the UI G | ai-native user | Openness — open source, data portability, and self-hosting storiesOpenness | 2 | partial | 4/10 | Cclaimed | |
Schedule recurring jobs or workflows G | ai-native user | Automation depth — how much of the product can run unattendedAutomation depth | 2 | partial | 4/10 | Cclaimed | |
Start a long research job that keeps working unattended and notifies me when the result is ready C Agent runs | analyst | Research depth — stories about research depth in this arenaResearch depth | 2 | partial | 4/10 | Cclaimed | |
Understand plan pricing and usage limits before committing G Pricing | researcher | Pricing limits — free-tier ceilings, usage caps, and rate limits before you have to payPricing limits | 2 | partial | 3/10 | Cclaimed | |
Choose where my data is stored (region/residency) G | ai-native user | Privacy posture — data-handling and privacy storiesPrivacy posture | 2 | none | untested | none yet | |
Control data retention and deletion G | ai-native user | Privacy posture — data-handling and privacy storiesPrivacy posture | 2 | none | untested | none yet | |
Opt out of telemetry and usage tracking G | ai-native user | Privacy posture — data-handling and privacy storiesPrivacy posture | 2 | none | untested | none yet | |
Read the product's source under an open license G | ai-native user | Openness — open source, data portability, and self-hosting storiesOpenness | 2 | none | untested | none yet | |
Export results to common formats, including documents, spreadsheets, and reference-manager files G Reports | researcher | Report output — stories about report output in this arenaReport output | 1 | fullpaid | 9/10 | Cclaimed | |
Set up standing searches or alerts that surface new relevant sources as they appear C Alerts | researcher | Literature workflow — stories about literature workflow in this arenaLiterature workflow | 1 | full | 7/10 | Cclaimed | |
Steer the depth, effort, and scope of a research run before or while it executes C Agent runs | researcher | Research depth — stories about research depth in this arenaResearch depth | 1 | partial | 7/10 | Cclaimed | |
Try the product meaningfully on a free tier or trial G Pricing | researcher | Pricing limits — free-tier ceilings, usage caps, and rate limits before you have to payPricing limits | 1 | none | untested | none yet | |
Version, review, and roll back my automations G | ai-native user | Automation depth — how much of the product can run unattendedAutomation depth | 1 | none | untested | none yet |
Opportunities — the stories that would move this product's scores, from its own judged verdictsOpportunitiestop 8 of 26 stories with headroom
What would move Elicit’s scores — derived from its own judged verdicts, biggest headroom first. Each line quotes what the judge found missing; shipping it (or evidencing it publicly) is the fix.
Agenticness — how well agents can access and operate the productPlug MCP servers into this product so it can use their tools
nonemoves agent-readyimpact 45
Evidence shows Elicit exposes itself AS an MCP server for other clients (e.g., Claude Desktop) to consume its research tools (elicit-docs-28, elicit-docs-35), not the reverse capability of Elicit acting as an MCP client that plugs in external MCP servers to use their tools.
Privacy posture — data-handling and privacy storiesPrevent my data from being used to train AI models
nonemoves PA Scoreimpact 30
Missing: any documentation of a training opt-out setting, data usage/privacy policy statement, or enterprise data handling terms addressing model training.
Agenticness — how well agents can access and operate the productUse an official CLI
nonemoves agent-readyimpact 30
Evidence shows Elicit offers an API and an MCP server for programmatic/agentic access, but there is no mention anywhere of an official command-line interface (CLI) tool.
Agenticness — how well agents can access and operate the productIssue scoped/least-privilege API credentials for an agent
nonemoves agent-readyimpact 30
Elicit does offer API keys and an MCP server for programmatic/agent access (elicit-docs-34, elicit-docs-35, elicit-docs-28), so the axis of credential management applies, but there is no evidence of scoped or least-privilege permissions, roles, or restricted-scope API keys — the docs only describe managing API keys generically, not limiting their scope.
Agenticness — how well agents can access and operate the productSubscribe to events via webhooks
nonemoves agent-readyimpact 30
Elicit offers email alerts, an API, and an MCP server, but no evidence anywhere in the pack mentions webhook subscriptions or event-driven callbacks for programmatic integration.
Agenticness — how well agents can access and operate the productExplore an interactive API reference with runnable examples
nonemoves API qualityimpact 30
Elicit documents an API and MCP server (elicit-docs-6, elicit-docs-34, elicit-docs-35, elicit-docs-36) but there is no evidence of an interactive API reference/playground with runnable examples; probes for OpenAPI/swagger specs all returned 404 (elicit-probe-3), suggesting no such interactive reference exists.
Agenticness — how well agents can access and operate the productDownload a machine-readable API spec (OpenAPI or equivalent)
nonemoves API qualityimpact 30
Missing: any published OpenAPI/Swagger file, machine-readable schema, or API reference page listing such a spec.
Agenticness — how well agents can access and operate the productRely on versioned APIs with a documented deprecation policy
nonemoves API qualityimpact 30
Evidence confirms Elicit has an API and MCP server (elicit-docs-34, elicit-docs-35, elicit-docs-36) but nothing documents API versioning or a deprecation policy, and probes for an OpenAPI/spec file returned 404s (elicit-probe-3).
Showing the top 8 of 26 — every none/partial verdict in the story verdicts table is headroom.
Think a verdict is wrong? Every verdicts-table row has a Flag link — see the methodology.
Coverage map — which docs area, API section, or community source covers which judged storiesCoverage map6 surfaces · 27 covered stories
Where the cited evidence behind each covered verdict came from — the same citations the verdicts table shows, no extra judging.
En docs27 stories
- Point an agent at llms.txt or agent-oriented docs
- Run the product headlessly / in CI for automation
- Connect an agent via an official MCP server
- Drive the product through a documented public API
- Build against official SDKs
- Get AI-generated insights and suggestions from my data inside the product
- Set up automations that run autonomously in the background
- Delegate tasks to a built-in AI assistant inside the product
- Operate the product with natural-language commands
- Perform bulk operations across many items at once
- Define rules that trigger actions automatically on events
- Schedule recurring jobs or workflows
- Share a research session or report with collaborators who can view or build on it
- Set up standing searches or alerts that surface new relevant sources as they appear
- Upload my own PDFs or corpus and have the agent research over them
- Run a systematic screening and extraction workflow across many papers with consistent criteria
- Do everything through the API that I can do in the UI
- Export all of my data in open formats and leave
- Understand plan pricing and usage limits before committing
- Export results to common formats, including documents, spreadsheets, and reference-manager files
- Get a structured report with sections, tables, and a summary that I can share with stakeholders
- Pose a research question and get an autonomous multi-step investigation, not just a single-pass summary
- Start a long research job that keeps working unattended and notifies me when the result is ready
- Steer the depth, effort, and scope of a research run before or while it executes
- See citations for every substantive claim so I can verify it against the underlying source
- Search scholarly literature and primary sources, not just the open web
- See where sources agree and disagree instead of a single unqualified answer
Hacker News8 stories
- Get AI-generated insights and suggestions from my data inside the product
- Delegate tasks to a built-in AI assistant inside the product
- Operate the product with natural-language commands
- Upload my own PDFs or corpus and have the agent research over them
- Run a systematic screening and extraction workflow across many papers with consistent criteria
- Pose a research question and get an autonomous multi-step investigation, not just a single-pass summary
- See citations for every substantive claim so I can verify it against the underlying source
- See where sources agree and disagree instead of a single unqualified answer
Pricing docs7 stories
- Run the product headlessly / in CI for automation
- Drive the product through a documented public API
- Build against official SDKs
- Do everything through the API that I can do in the UI
- Export all of my data in open formats and leave
- Understand plan pricing and usage limits before committing
- Export results to common formats, including documents, spreadsheets, and reference-manager files
Claims vs evidence — vendor claims reconciled against independent verdictsClaims vs evidence
4 of 10 testable claims verified · 0 contradicted → integrity 40/100
18 distinct capability claims found in Elicit’s own claimed-docs/GitHub materials, reconciled against our judge’s independent verdicts.
4
Verified
6
Unverified
0
Contradicted
15
Undersold
Verified (6)
“Guided systematic-review workflow covering search, screening, extraction, and a final report”
Run a systematic screening and extraction workflow across many papers with consistent criteriafullproof ↗
“Product offers API access for programmatic use”
Drive the product through a documented public APIfullproof ↗
“Users can add extraction columns simply by telling the agent in natural language what to add”
Operate the product with natural-language commandsfullproof ↗
“Research Agent pulls from a wide range of sources, produces flexible outputs, and lets users iterate to refine results”
Pose a research question and get an autonomous multi-step investigation, not just a single-pass summarypartialproof ↗
“Elicit automatically fetches full-text PDFs during the data-extraction phase of a review”
Run a systematic screening and extraction workflow across many papers with consistent criteriafullproof ↗
“Users can define custom columns to extract specific data points from paper text or tables”
Run a systematic screening and extraction workflow across many papers with consistent criteriafullproof ↗
Unverified (9)
“Guided systematic-review workflow covering search, screening, extraction, and a final report”
Get a structured report with sections, tables, and a summary that I can share with stakeholdersfullproof ↗
“Users can set an effort level (Fastest to Smartest) for each Research Agent run”
Steer the depth, effort, and scope of a research run before or while it executespartialproof ↗
“Instant email alerts notify users when new relevant papers are found”
Set up standing searches or alerts that surface new relevant sources as they appearfullproof ↗
“Library can be exported as .ris for use in Zotero, Mendeley, EndNote, etc.”
Export results to common formats, including documents, spreadsheets, and reference-manager filesfullproof ↗
“Team members can be invited to collaborate live within a Research Agent session”
Share a research session or report with collaborators who can view or build on itfullproof ↗
“Collaborators with edit access can query the agent and create or edit artifacts (docs, tables)”
Share a research session or report with collaborators who can view or build on itfullproof ↗
“Pro/Scale/Enterprise users can export systematic-review screening and extraction tables”
Export results to common formats, including documents, spreadsheets, and reference-manager filesfullproof ↗
“Semantic search lets users find relevant papers using natural-language queries instead of exact keywords”
Search scholarly literature and primary sources, not just the open webfullproof ↗
“Within a chat session users can filter/export sources, generate figures, and draft slides without leaving the conversation”
Get a structured report with sections, tables, and a summary that I can share with stakeholdersfullproof ↗
Undersold (15)
Point an agent at llms.txt or agent-oriented docsfullproof ↗
Run the product headlessly / in CI for automationpartialproof ↗
Set up automations that run autonomously in the backgroundpartialproof ↗
Delegate tasks to a built-in AI assistant inside the productfullproof ↗
Perform bulk operations across many items at oncefullproof ↗
Define rules that trigger actions automatically on eventspartialproof ↗
Upload my own PDFs or corpus and have the agent research over themfullproof ↗
Do everything through the API that I can do in the UIpartialproof ↗
Export all of my data in open formats and leavepartialproof ↗
Understand plan pricing and usage limits before committingpartialproof ↗
Start a long research job that keeps working unattended and notifies me when the result is readypartialproof ↗
See where sources agree and disagree instead of a single unqualified answerpartialproof ↗
Claims outside our story set (4)
Real capability claims found in Elicit’s own materials, but no story in this arena’s taxonomy covers them yet — that’s feedback on the taxonomy, not a mark against the product.
“Users can import their reference library from Zotero”
source ↗“Projects link multiple sessions together for continuity across related work”
source ↗“Skills let users define reusable instructions that shape how the agent approaches a task”
source ↗“Browser extension uses the user's active institutional logins to fetch accessible papers”
source ↗
Business model
Free Basic tier with limited credits; Plus and Pro are flat monthly subscriptions, Team is per-seat, and Enterprise is custom.
pricing ↗Score trend
How this product’s scores have moved as evidence and verdicts are re-derived — a point per change, not per day.
Flag
⚑ Flag a verdictThink a verdict is wrong? Opens a prefilled GitHub issue — or use the ⚑ next to any verdict above.
For agents
Agent surface uptime llms.txt 100% (30d, checked every 6h since Sep 8 '26)