Referee.chat 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.
Referee.chat compared with Blck Alpaca
| Detail | 
Referee.chat | 
Blck Alpaca |
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| What it does | An AI panel debates your goal; a referee rules on re-checkable evidence
| 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 | Freemium
| Free
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| Pricing | Free: $1.00 starting credit once. Credit plans from $10 top-up with no expiration. Your own key: 5% infrastructure fee after the first $5.00 of usage.
| Not given
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| Key features | - Panel of up to six AI models from different vendors
- Referee rules on re-checkable evidence only
- Searches academic databases: arXiv, OpenAlex, Crossref, Europe PMC
- Executes Python code to verify claims
- Customizable acceptance standards
- Matches pause and resume without losing work
- Shared ledger prevents re-derivation
- Spending limit per match
| - 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 | - Referee decides on evidence, not argument quality
- Panel from different vendors fails in different directions
- Stuck is a targeted question, not model thrashing
- Cost grows with ledger, not round count
- Published matches become research record
| - 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 |
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| DR (Domain Rating by Ahrefs) | 2 ● no change since last check | 45 ▲ +1 (up) since last check |
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| Trust Flow (Majestic) | 0 | 15 |
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| Citation Flow (Majestic) | 13 | 33 |
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| Referring domains (Majestic) | 31 | 268 |
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4 details filled in for both companies.
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