BenchRank
#9 in AI Search & ResearchUpdated 2026-08

Scira

by Scira · AI search across web, Reddit, X and academic sources with citations

20.2 — BenchRank score out of 100

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Overview

Scira is an AI search engine that answers questions with cited sources across the web, Reddit, X, YouTube, academic papers, GitHub, stocks and prediction markets. Paid plans add deep research, connectors for Drive and Notion, memory, PDF analysis, voice mode and over 100 MCP apps. It is also available as an iOS app and a command-line tool.

Best for
Researchers and students who want AI search that cites sources across web, Reddit, X and academic papers.
Pricing
Free tier with 3 searches a day, then Pro at $15/month or Max at $60/month, with Pro at $9/month for verified school email addresses.
Runs on
Web

Strengths and trade-offs

Strengths

  • Free tier with 3 searches a day, no credit card asked
  • 18 search modes: academic, GitHub, Reddit, X, YouTube, stocks
  • Pro at $15/mo gives unlimited searches and all base models
  • Also runs as an iOS app and a terminal CLI

Trade-offs

  • Free plan is 3 searches a day, with no deep research or memory
  • Pro caps the heavier models: Sonnet 150/mo, Opus 30/mo
  • Gemini 3.1 Pro, Qwen and image generation need the $60/mo Max plan
  • Scira Agent is a limited preview and only on Max

Pricing

Published plans from Scira’s own pricing page, in USD. Usage charges and add-ons may apply on top.

Scira pricing tiers, monthly rates in USD
PlanMonthlyIncludes
FREEFreeper account
  • 3 searches per day
  • Basic AI models
  • Search history
  • Web, Reddit, X, YouTube (13 search modes)
PRO$15per account
  • Unlimited searches and all 18 search modes
  • Claude Haiku 4.5 unlimited; Sonnet 150/mo, Opus 30/mo
  • Extreme deep research, memory, connectors, PDF and voice
  • Scira Apps (100+ MCP), Lookout, priority support
MAX$60per account
  • Everything in Pro
  • All Claude models in an 80/wk pool
  • Gemini 3.1 Pro 80/mo, Qwen 3.7 Max 40/wk
  • AI image generation and Scira Agent (limited preview)

How this score is made up

Each dimension is scored out of 100 and combined into the headline score using fixed weights.

MCP support
0 out of 100
API quality
0 out of 100
Documentation
0 out of 100
Agent friendliness
25 out of 100
Pricing transparency
85 out of 100
Changelog
0 out of 100
Marketing site structure
75 out of 100
Operational trust
0 out of 100

Measured, but not part of the score

Useful to know, but not a mark for or against the product — so these do not affect the ranking.

Openness
60 out of 100
Maintenance
15 out of 100

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