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Documentation Index

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Scira is built on an agentic architecture that breaks down complex research questions, selects the right tools, and delivers grounded answers with verifiable citations.

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The Three-Step Process

1

Ask anything

You type a question, upload a PDF, or paste a URL. Pick a search mode or let Scira auto-select the best one for your query.Scira accepts:
  • Natural language questions
  • File attachments (PDF, CSV, DOCX, Excel)
  • URLs from any source (tweets, YouTube, articles, papers)
  • Multi-part research requests
2

Scira plans & retrieves

The agent breaks your question into sub-tasks, searches live sources, and cross-checks evidence. This happens automatically through multi-step workflows.Behind the scenes:
  1. Query decomposition into 3-10 targeted searches
  2. Parallel execution across multiple search providers
  3. Content extraction and verification
  4. Source deduplication and ranking
3

Get cited answers

You receive a grounded answer with inline citations. Click any source to verify it yourself. Every fact is traceable to its origin.

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Agentic Planning

Scira uses AI-powered planning to handle complex, multi-step research workflows. Instead of single-query searches, it orchestrates entire research processes.

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How Planning Works

When you ask a complex question, Scira’s planning system:
  1. Analyzes the question to identify key aspects and requirements
  2. Generates a research plan with specific sub-tasks and search queries
  3. Executes the plan by calling tools in sequence or parallel
  4. Iterates based on findings to fill gaps and verify information
For a question like “Compare the market position of Tesla vs Rivian in 2026”:
// Generated research plan
{
  plan: [
    {
      title: "Tesla Market Analysis",
      todos: [
        "Search Tesla Q4 2025 earnings report",
        "Find Tesla vehicle delivery numbers 2026",
        "Research Tesla market share electric vehicles"
      ]
    },
    {
      title: "Rivian Market Analysis",
      todos: [
        "Search Rivian production capacity 2026",
        "Find Rivian R1T and R1S sales data",
        "Research Rivian market positioning"
      ]
    },
    {
      title: "Comparative Analysis",
      todos: [
        "Compare Tesla vs Rivian market share",
        "Analyze competitive advantages both companies"
      ]
    }
  ]
}
Scira executes up to 15 actions automatically, using the right tools for each sub-task.

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Extreme Search Mode

For maximum depth, Extreme mode uses an autonomous research agent with:
  • Multi-step planning with up to 15 actions
  • Code execution for data analysis and visualizations
  • Cross-source verification
  • Artifact storage in Cloudflare R2
// Extreme search can execute Python code
const research = await extremeSearch(prompt, dataStream, 'exa');

// Available Python libraries:
// pandas, numpy, scipy, keras, seaborn, matplotlib,
// transformers, scikit-learn
Extreme searches use either Exa or Parallel as the content extraction provider, with Firecrawl as fallback.

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Tool Selection

Scira has 28 integrated tools. The agent automatically selects the right combination based on your question.

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Search & Retrieval Tools

Searches academic papers using Firecrawl with category filtering.When used: Research questions, scientific queries, papersFeatures:
  • PDF parsing and extraction
  • Citation metadata
  • Research paper categorization
  • Up to 20 results per query
await academicSearch({
  queries: [
    "transformer attention mechanisms",
    "LLM reasoning capabilities"
  ],
  maxResults: [20, 20]
});
Searches X (Twitter) posts using xAI Grok with advanced filtering.When used: Social sentiment, breaking news, public opinion, trending topicsFeatures:
  • Date range filtering (start/end dates)
  • Handle filtering (include/exclude specific accounts)
  • Automatic tweet content extraction
  • Citation tracking
await xSearch({
  query: "GPT-5 reactions",
  startDate: "2026-01-01",
  endDate: "2026-03-04",
  xHandles: ["openai", "sama"],
  maxResults: 15
});
Autonomous agent that plans and executes comprehensive research.When used: Complex questions, multi-faceted analysis, in-depth researchFeatures:
  • AI-powered research planning
  • Up to 15 autonomous actions
  • Code execution for analysis
  • Multi-source verification
  • Chart generation
Tools available to extreme search:
  • webSearch — Search with category filtering
  • xSearch — X post search
  • codeRunner — Python execution in Daytona sandbox
  • Reddit Search — Community discussions via Parallel
  • YouTube Search — Video transcripts via Supadata
  • GitHub Search — Repository search via Firecrawl
  • Spotify Search — Music search via Spotify Web API
  • URL Retrieval — Extract content from any URL

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Financial & Market Tools

Interactive stock charts with OHLC data, earnings, and news.Providers: Valyu (market data), Tavily + Exa (news)When used: Stock questions, financial analysis, market research
Real-time currency conversion via Valyu.When used: Exchange rate queries, currency comparisons
Cryptocurrency data via CoinGecko:
  • coin_data — Token information and metrics
  • coin_data_by_contract — Contract address lookups
  • coin_ohlc — OHLC charts and price history
When used: Crypto questions, token research, price analysis
Query prediction market data via Valyu with Cohere reranking.When used: Forecasting, probability estimation, market sentiment

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Utility Tools

Execute Python code in a sandboxed Daytona environment.Available libraries: pandas, numpy, scipy, keras, seaborn, matplotlib, transformers, scikit-learnFeatures:
  • Chart generation (line, bar, scatter)
  • Data analysis and processing
  • Mathematical calculations
When used: Data analysis, calculations, visualizations
  • Weather — Current weather, 5-day and 16-day forecasts (OpenWeatherMap, Open-Meteo)
  • Maps & Geocoding — Location search and nearby places (Google Maps)
  • Flight Tracking — Real-time flight status
  • Movie/TV Search — TMDB search and trending lists
  • Text Translation — Multi-language translation with image text support
  • File Query Search — Semantic search over uploaded files (Cohere embeddings)
  • Connectors — Search Google Drive, Notion, OneDrive (Supermemory)
  • Memory — Save and retrieve personal context (Supermemory)
  • Code Context — Programming topic explanations (Exa Context API)
  • Date & Time — Current time with timezone support

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Grounded Retrieval

Every answer Scira generates is grounded in verifiable sources. This prevents hallucinations and ensures accuracy.

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How Citations Work

  1. Source collection — All tools return structured source data: 
    {
  title: string,
  url: string,
  content: string,
  publishedDate?: string,
  author?: string,
  favicon: string
}
  2. Deduplication — Sources are deduplicated by domain and URL to avoid redundancy
  3. Inline citations — The AI model cites sources inline as it generates the answer
  4. Clickable verification — Users can click any citation to view the original source
Scira uses deduplication to ensure you see diverse sources, not multiple results from the same domain.

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Content Extraction Strategies

Different tools use different extraction methods: Exa Strategy:
  • Primary: Exa getContents with 3000 char limit
  • Fallback: Firecrawl scraping with markdown parsing
Parallel Strategy:
  • Primary: Parallel extract with full content
  • Fallback: Firecrawl scraping
Firecrawl Strategy:
  • Structured extraction with caching
  • PDF parsing support
  • Proxy rotation for reliability

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Search Modes

Search modes determine which tools and models Scira uses. Each mode is optimized for specific question types.
No search tools. Direct conversation with the AI model.Best for: Brainstorming, creative tasks, casual conversation
Uses academic_search tool with Firecrawl research categorization.Best for: Scientific questions, research papers, citations
Uses x_search tool with xAI Grok.Best for: Trending topics, social sentiment, real-time discussions
Uses reddit_search tool via Parallel.Best for: User experiences, opinions, community discussions
Uses github_search via Firecrawl with repo metadata.Best for: Code repositories, open source projects, developer tools
Uses stock_chart tool with Valyu, Tavily, and Exa.Best for: Stock questions, earnings, market data
Uses crypto tools (coin_data, coin_ohlc) via CoinGecko.Best for: Cryptocurrency questions, token data, price analysis
Uses youtube_search via Supadata with transcript extraction.Best for: Video content, tutorials, channel research
Uses extreme_search tool with autonomous agent.Best for: Complex questions, multi-step analysis, comprehensive research
  • Code — Programming questions with code_context tool
  • Spotify — Music search
  • Prediction — Forecast markets via Polymarket/Kalshi
  • Connectors — Search connected knowledge bases (Pro)
  • Memory — Personal memory companion (Pro)
  • Voice — Real-time voice conversation (Pro)
  • XQL — Advanced X query language (Pro)

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Architecture Overview

┌─────────────────┐
│  User Question  │
└────────┬────────┘
         │
         ▼
┌─────────────────┐
│  Mode Selection │ ◄── Auto-select or user choice
└────────┬────────┘
         │
         ▼
┌─────────────────┐
│ Agentic Planner │ ◄── Break down into sub-tasks
└────────┬────────┘
         │
         ▼
┌─────────────────────────────────────┐
│       Tool Selection & Execution     │
│  ┌──────┐ ┌──────┐ ┌──────┐         │
│  │ Tool │ │ Tool │ │ Tool │  ...    │
│  │  1   │ │  2   │ │  3   │         │
│  └──────┘ └──────┘ └──────┘         │
└────────┬────────────────────────────┘
         │
         ▼
┌─────────────────┐
│  Source Fusion  │ ◄── Deduplicate & rank
└────────┬────────┘
         │
         ▼
┌─────────────────┐
│ Answer Generation│ ◄── With inline citations
└────────┬────────┘
         │
         ▼
┌─────────────────┐
│  Cited Answer   │
└─────────────────┘

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Model Support

Scira supports 100+ AI models across multiple providers:
  • xAI — Grok 3, Grok 4, Grok Code
  • OpenAI — GPT-4.1, GPT-5.x, o3, o4 mini
  • Anthropic — Claude 4.5/4.6 (Haiku, Sonnet, Opus)
  • Google — Gemini 2.5/3 (Flash, Pro)
  • Qwen, Mistral, DeepSeek, Cohere, and more
You can select the model for each conversation based on your needs.

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Next Steps

Quickstart

Get started with Scira in under 5 minutes

Search Modes

Explore all 17 specialized search modes

Tool Reference

Complete reference for all 28 tools

Self-Hosting

Deploy Scira on your infrastructure

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