ARIA Protocol 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.
ARIA Protocol compared with Blck Alpaca
| Detail | 
ARIA Protocol | 
Blck Alpaca |
|---|
| What it does | Open protocol for AI agent identity, DNS-anchored and post-quantum native, governed by a nonprofit
| AI readiness check for websites: measures how well AI agents can access, understand and navigate your site
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| Stage | Startup
| Startup
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| Founded | 2026
| 2024
|
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| Based in | MX
| AT
|
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| Pricing model | Open source
| Free
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| Pricing | Free to use. L0 credentials issued today. L1 enabled in agent.bar demonstration. L2 and L3 specified but not yet issued.
| Not given
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| Key features | - W3C Verifiable Credentials (AID format)
- Four trust levels (L0-L3) with progressive verification
- DNS anchoring starting at L1
- ML-DSA-65 + Ed25519 composite signatures
- ARIA AP for signed requests and receipts
- Append-only Trust Ledger with credential lifecycle events
- Revocation capability with signed status lists
- Public REST API verification endpoint
- TypeScript SDK for credential verification
| - 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 | - Post-quantum native from launch, not a migration plan
- Governed by nonprofit to prevent capture
- Complements existing protocols without replacing them
- L0 credentials issued and verifiable today
| - 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) | 23 ● no change since last check | 45 ▲ +1 (up) since last check |
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| Trust Flow (Majestic) | 7 | 15 |
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| Citation Flow (Majestic) | 20 | 33 |
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| Referring domains (Majestic) | 10 | 268 |
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7 details filled in for both companies.
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