Consensus
Free
Consensus is
Consensus
Core parameters and statistics
A brief comment: It does not speed up ordinary web page retrieval, but provides a shorter research entrance for questions such as "I want to know what the academic community says."
| Projects | Public Information |
|---|---|
| Official positioning | AI academic search engine / research OS |
| Document size | 220M+ scientific papers |
| Main modes | Pro Search, Deep Search, Ask Paper |
| Research Assistance | Consensus Meter, Study Snapshots, Citation Graph, Collections |
| Target scenario | Research question retrieval, evidence collection, pre-screening for paper reading |
| Platform form | Web |
Publicity verification: Consensus has made the "research starting point" very strong, and this selling point is established. What it touches is not that there are too few traditional search results, but that there are too many academic search results, the reading cost is too high, and the direction of evidence is not easy to see clearly at a glance.
User and market recognition
Research Scenario Approval: The official website defines the product as a research OS, rather than a simple AI search box, indicating that it wants to cover the complete link from retrieval to sorting. For graduate students, analysts, and medical and policy researchers, this positioning is easier to generate stable retention than a general chat tool.
Adopt logic: Consensus’s competitor is not ordinary web search, but a combination of Google Scholar plus manual reading of abstracts, plus note-taking tools. As long as it shortens the lead time, users will be willing to put it into the default research process.
Boundary reminder: It is good at "finding the direction and evidence overview from the paper", and is not good at directly replacing systematic reviews, experimental designs or formal academic judgments. Research conclusions still need to return to the specific paper methods and sample settings.
Cost advantage
- C-side/Individual: Usually a free version is provided to experience the core functions, and high-frequency use requires a paid package subscription.
- API/Developer: Billed by call volume, suitable for development teams that can be flexibly integrated into their own systems.
- Enterprise/Privatized: Contact the business owner for customized quotation and deployment plan. The specific price is subject to the official real-time pricing page.
Main functions
- Academic Search: Organize answers around research questions rather than on-page SEO results.
- Deep Search: Split the problem into more in-depth literature exploration paths, suitable for complex research topics.
- Ask Paper: Comprehend a single paper in a question-and-answer format, lowering the threshold for reading long articles.
- Consensus Meter: Quickly observe the academic consensus direction for yes/no research questions.
- Study Snapshots: Extract key findings and methodological clues to help quickly determine whether it is worth reading in depth.
- Citation Graph and Collections: Supports sorting out paper relationships and archiving research data.
Expert view: The strongest point of Consensus is not single-point search, but functional linkage. The search gives candidate papers, Consensus Meter helps users look at the direction of evidence first, Study Snapshots reduces the burden of initial screening, and Collections eliminates the need to switch to external tools for sorting actions. This is the real workflow advantage.
Model and version evolution
Consensus’ starting point for academic search
The early core value was to make peer-reviewed literature a search portal that makes it easier to ask questions, and use natural language to replace complex search terms.
Research Workflow Expansion Phase of Consensus
With the addition of Deep Search, Ask Paper, Consensus Meter and Citation Graph, the product has been upgraded from "searching papers" to "organizing the research process". This is also a key change in its transition from a tool-based entrance to studying OS.
Current public form of Consensus
The current form has more completely covered the three stages of retrieval, judgment, and sorting. The official has not disclosed the exact project version number, so the version context is more suitable to be recorded according to the public capability level.
Technical advantages
Mechanism: With scientific paper corpus as the core, question retrieval, answer generation, evidence aggregation and document organization are put into the same workflow.
Effectiveness: It is faster to form preliminary research judgments than "first search and then read dozens of abstracts", especially suitable for scenarios where evidence maps need to be quickly established.
Applicable scenarios: Academic background checking in market research, exploration of medical and health information, preliminary research on paper topic selection, and sorting out educational research and policy issues.
Causal chain: Because it is first limited to academic data, the noise is lower than general search; because it adds a consensus and snapshot layer, the user's initial screening speed is faster; and precisely because it compresses the results, serious conclusions must still go back to the original text of the paper to review the methods and samples.
How to use
The most reasonable way to use it is not to use it as the end of the paper, but to put it in the first half of the research. First enter the question to get the paper collection and consensus direction, then use Ask Paper to read in depth on the key papers, and finally return to the original text to verify methods and data.
If it is used by a team, it is recommended that it be used in the preliminary data research, hypothesis formation and literature list compilation, rather than being used to directly replace formal literature reviews or publishable research judgments.
Product Pricing
The pricing model is subject to the official real-time page. Usually a freemium or subscription system is used, and basic functions can be used for free. Advanced functions or high-frequency use require paid subscriptions, and users are advised to evaluate the optimal solution based on actual usage.
Application scenarios
- Preliminary research on paper topic selection: Quickly determine whether there is a clear consensus on a certain issue in the academic community.
- Medicine and Health Research Assistance: Look at the direction of the evidence first, and then decide whether to read the original text in depth.
- Consulting and Analytical Background Research: Provide more reliable academic evidence for industry or policy analysis.
- Education and Scientific Research Training: Help students understand the literature network faster instead of just remembering the conclusions.
Applicable people
- Graduate students and doctoral students: People who need to do high-frequency pre-screening of literature.
- Corporate Research and Consulting Analyst: Someone who needs to integrate academic evidence into business judgment.
- Healthcare, Policy and Education Researchers: People who need to build an outline of the evidence before reading in depth.
Unfit Boundary: If the task is a formal systematic review, regulatory-level evidence submission, or high-precision experimental design, Consensus can only be used as a pre-acceleration layer and cannot replace manual research methodology.
Summary and Outlook
The core value of Consensus is to upgrade "finding papers" to "the first half of the workflow for understanding research problems." This is a very practical efficiency improvement for the research process that has long been divided by Google Scholar, databases and note-taking tools.
Procurement/Adoption Risk Assessment: It is most suitable for research starting point and evidence navigation, and is not suitable for directly outputting high-risk conclusions. The team’s manual review criteria should be clarified before adoption, and its evolution in terms of literature coverage, team collaboration, and results transparency should be continuously monitored.
Related tools: perplexity, you-com
Version Info
- Research OS Experience ：The current public version focuses on searching 220M+ papers Pro Search, Deep Search, Ask Paper, Consensus Meter, Study Snapshots and Collections; there is no official precise version number and date yet.
- Academic Search Launch ：In the early days, the AI academic search portal was used to answer research questions directly from peer-reviewed literature; there is no official precise date yet.
- Deep Search And Research Workflow Expansion ：The product will publicly add more complete research workflow capabilities such as Deep Search, Ask Paper, Consensus Meter, Citation Graph and Collections; there is no official precise date yet.
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