Gotcha vs Blck Alpaca
A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.
Gotcha compared with Blck Alpaca
| Detail |
Gotcha |
Blck Alpaca |
| What it does | On-device Android copilot that turns natural language into real device actions
| AI readiness check for websites: measures how well AI agents can access, understand and navigate your site
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| Stage | Not given
| Startup
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| Founded | Not given
| 2024
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| Based in | Not given
| AT
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| Pricing model | Free
| Free
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| Pricing | Not given
| Not given
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| Key features | - 100+ device tools and actions
- On-device processing with no cloud data transmission
- Monitor mode with 40+ read-only tools
- Operator mode with full automation across 100+ tools
- Voice control via Assistive Ball
- Support for local and cloud LLM models
- Dual safety modes with explicit permissions
- Visual ring indicators for foreground and background operations
- Four-tier permission system
- Accessible from any app via floating Assistive Ball
| - 28 automated checks across access, understanding, discoverability, EU transparency and usability
- Static HTML analysis without JavaScript execution
- AI crawler identifier testing with GPTBot, ChatGPT-User, ClaudeBot, PerplexityBot and Google-Extended
- Rendered page analysis with JavaScript execution comparison
- Observed agent task execution with logging
- Five weighted scoring layers with consequence-based assessment
- Letter grade result from A to F based on rubric version 1.1.3
- Instant results with no registration required
- Checks for robots.txt, sitemap, llms.txt and trust pages
- Optional in-browser JavaScript rendering check
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| What makes it different | - Only on-device AI copilot that controls entire Android phone without sending personal data to cloud
- 100+ device automation tools in single app, including screen automation and system control
- Works with any OpenAI-compatible model, local or cloud
- No Play Store restrictions: full device control without limitations
| - Weighted scoring model that treats missing features as not applicable rather than failures, preventing unfair penalties
- EU-focused transparency and privacy layer addressing GDPR and consent requirements specific to European compliance
- Versioned rubric that allows results to remain comparable across time
- Real agent task execution logging showing exactly where AI agents get stuck on your site
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| Community votes | 0 | 0 |
| DR (Domain Rating by Ahrefs) | 36 ● no change since last check | 45 ▲ +1 (up) since last check |
| Trust Flow (Majestic) | 6 | 15 |
| Citation Flow (Majestic) | 26 | 33 |
| Referring domains (Majestic) | 79 | 268 |
4 details filled in for both companies.
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