Search & Discovery

Keenious

Find research relevant to any text with AI-powered search.

Status
Generally available
Last checked
Checked · Oct 12, 2026
License
Proprietary
Pricing
Free tier · from $10/mo
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What it is

Keenious uses advanced AI algorithms to help users find the most relevant research papers and articles based on their input text, streamlining the process of literature review for researchers and professionals.

Keenious stands out by offering an AI-driven approach to finding relevant research, providing users with highly accurate and contextually appropriate results.

When it fits — and when it doesn’t

A good fit for

  • Academics needing to quickly find relevant literature for their research topics

  • Professionals who require up-to-date market analysis and industry reports

  • Content creators looking to curate articles based on specific themes or keywords

Look elsewhere if

  • Users requiring real-time data updates (Keenious focuses on curated academic content)

  • Projects with extremely limited budgets as it operates on a usage-based pricing model

Known weaknesses

Each one links to the public issue, changelog or docs page it came from, where we have one.

  1. 01

    Limited language support beyond Python

    Official SDK only available in Python, other languages rely on community support

  2. 02

    Expensive at scale for large datasets

    Cost increases significantly with the number of queries and volume of data processed

What it does well

  • AI-powered relevance ranking for research papers and articles

  • Customizable search parameters to refine results

  • Integration with popular academic databases

Pricing

Free tier
YesTop 10 search results, 5 AI responses per conversation, 10 conversations per day, 3 MB max file upload size
Paid from
$10/mo
Model
Usage-based
Enterprise plan
No

Pricing not independently confirmed — check the vendor’s page. Vendor pricing ↗

Performance benchmarks

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Set up Keenious

Setup steps, common gotchas and what to check after 30 days.

Open the setup guide →
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