Referee.chat vs ARVX
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 ARVX
| Detail | 
Referee.chat | 
ARVX |
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| What it does | An AI panel debates your goal; a referee rules on re-checkable evidence
| AI that reads each person first, knows their normal, and remembers every pair
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| Stage | Not given
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| Founded | Not given
| Not given
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| Based in | Not given
| US
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| Pricing model | Freemium
| Paid
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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.
| 43¢ per Reading. First 3 Readings free. Prepaid balance, stops at zero.
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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
| - Reads individual email history and communication patterns
- Analyzes what has built up between two people over time
- Tracks changes against each person's normal baseline
- Provides color-coded feedback: green, yellow, red across five dimensions
- Predicts likely outcomes with recommended actions
- Includes contextual external factors when provided
- Sealed record system for privacy and historical continuity
- MCP server with Apache 2.0 open source client code
- llms.txt file for agent discovery and integration
- OpenAPI file for tool integration
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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
| - Reads each person individually first, through their own patterns, rather than generic scoring
- Remembers relationship history and shows what changed between readings
- Never returns scores, trait ratings or personality labels on named people
- Simple one-request API integration with no library installation needed
- Privacy-first: sealed records only ARVX can decrypt, keeps nothing about subjects
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| Community votes | 0 | 0 |
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| DR (Domain Rating by Ahrefs) | 2 ● no change since last check | 12 ▲ +3 (up) since last check |
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| Trust Flow (Majestic) | 0 | 4 |
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| Citation Flow (Majestic) | 13 | 28 |
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| Referring domains (Majestic) | 31 | 24 |
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5 details filled in for both companies.
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