Scira vs Kagi Search vs Perplexity AI vs Liner

A side-by-side look at scores, pricing and features — with RECATOOLS' ASEAN-aware verdict for each.

Scira Open-source AI search with citations — now has a $15/mo Pro tier Visit Kagi Search Paid search engine with AI features Visit Perplexity AI The answer engine that cites its sources on every live web query Visit Liner AI research search with per-line citations across 200M+ sources Visit
RECATOOLS Score 6.5 / 10 7.8 / 10 8.4 / 10 6.7 / 10
Capability 6 8 8 7
Value for money 8 7 8 6
Ease of use 7 8 9 8
ASEAN readiness 6 6.5 6 6
API quality 0 6.5 7 0
Pricing Open Source Subscription Freemium Freemium
Free tier Unlimited basic searches with standard model
Paid from $20/month (Pro); $200/month (Max, launched July 2025)
Has API
Open source
Free to use
Users 30M+ standalone monthly active users (100M+ across all products, 2026)
Founded 2018 2022
Maker Aravind Srinivas, Denis Yarats, Johnny Ho, Andy Konwinski
Verdict

Scira remains one of the cleanest open-source takes on cited AI search: AGPL-3.0 licensed, over 7,000 GitHub stars, self-hostable, and genuinely useful as a reference for anyone who wants to see how a Perplexity-style an...

Kagi is a subscription search engine that trades ads for a flat fee, and the result quality, lack of clutter, and customisation (site ranking, lenses, integrated AI answers) are genuinely a step above mainstream search f...

Perplexity remains the strongest citation-first answer engine: every query triggers a live web search and each sentence links to its sources, which makes verification fast in a way plain chatbots can't match. The free ti...

Liner earns its keep on citation traceability — every claim links back to a specific line in a specific source, and Scholar mode narrows that source pool to academic literature with one-click APA/MLA/Chicago export. For...

Full review → Full review → Full review → Full review →
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Comparisons cover up to 4 tools. Scores are RECATOOLS editorial assessments; verify current pricing on each vendor's site.