Scry vs Taurus
A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.
Scry compared with Taurus
| Detail | 
Scry | 
Taurus |
|---|
| What it does | An AI agent research tool that reads forums, papers, filings and markets to answer questions with sources
| Lead armies of AI agents sanely
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| Stage | Startup
| Not given
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| Founded | 2024
| Not given
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| Based in | US
| Not given
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| Pricing model | Freemium
| Freemium
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| Pricing | Free for non-commercial use (subject to capacity); queries cost a fraction of a cent to a few cents for commercial use
| Free: $0 with 10 agents, 2 parallel runs, 2 GB storage. Start: $20/month with 100 agents, 5 parallel runs, 10 GB storage. Plus: $50/month with 300 agents, 12 parallel runs, 50 GB storage. Pro: $200/month with 1000 agents, 30 parallel runs, 250 GB storage. On paid plans, model usage billed at true pr
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| Key features | - Integration with ChatGPT and Claude via MCP protocol
- Complex query execution including phrase matching, time windows and joins
- Two-minute setup with no code required
- Live schema and data freshness information
- HTTP API for developers without MCP clients
- Support for Claude Code, Codex, Cursor and other MCP clients
- Results with source citations and links
| - Hierarchical agent trees with parent-child delegation and coordination
- Container-isolated agent environments with Linux shell and persistent filesystem
- Persistent agent memory and context between runs
- Cron-based scheduled execution with overlap handling
- Shared /shared folder for cross-agent file collaboration
- Support for 30+ AI models from multiple providers
- Web IDE with terminal access and five editor themes
- Static site dashboards built and maintained by agents
- Voice input and file attachment support
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| What makes it different | - Runs arbitrary programs over the internet rather than returning simple link lists
- Affordable pricing with free non-commercial access
- One-command setup for developers
- Designed to remain affordable for all users
| - Agentic tree structure where agents collaborate and share context unlike stateless tools
- Fully isolated Linux containers for each agent with persistent filesystems
- Persistent memory and context continuity across scheduled runs
- Mix and match 30+ AI models freely within the same team
- Pricing per fleet rather than per seat or per token overage
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| Community votes | 0 | 0 |
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| DR (Domain Rating by Ahrefs) | 37 ● no change since last check | 31 ● no change since last check |
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| Trust Flow (Majestic) | 12 | 0 |
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| Citation Flow (Majestic) | 35 | 30 |
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| Referring domains (Majestic) | 203 | 115 |
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5 details filled in for both companies.
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