Consensus
Free tierAI-powered academic search engine that finds answers in peer-reviewed research
Free tier available·All audiences·Powered by OpenAI·API available
Key strengths
Searches exclusively peer-reviewed and scientific literatureAI-synthesized consensus summaries across multiple papersDeep filtering by study type, population, methodology, and moreCited, evidence-backed answers rather than hallucinated contentAccessible to both researchers and non-technical users
Free tier + paid plans · from $9.99 USD/mo
San Francisco, US
Founded 2022
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Developer & API Documentation
API Access
Consensus offers an API that allows developers to query its 200M+ paper corpus programmatically. Access is available on paid plans. Authentication is handled via API keys passed in the request header.
GET https://consensus.app/api/v1/search?query=does+exercise+reduce+depression&limit=10
Authorization: Bearer YOUR_API_KEY
Key Parameters
| Parameter | Type | Description |
|---|---|---|
query | string | Natural language research question |
limit | integer | Number of results to return (max 20) |
filter_study_type | string | Filter by study design (e.g., rct, meta_analysis) |
filter_year_min | integer | Earliest publication year |
filter_year_max | integer | Latest publication year |
Response
Responses include extracted paper claims, citation metadata (DOI, authors, journal, year), and an AI-synthesized consensus snippet. Results can be integrated into research tools, clinical decision-support systems, or knowledge management platforms.
Integration Notes
- Built on OpenAI GPT models for claim extraction and summarization
- Corpus sourced from PubMed, Semantic Scholar, and other academic indices
- Rate limits apply per tier; enterprise plans offer higher throughput