Referee.chat
An AI panel debates your goal; a referee rules on re-checkable evidence
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A platform where multiple AI models debate a goal you set, and a referee decides when it's accomplished using cited sources and executed code as evidence.
About Referee.chat
Referee.chat lets you set a goal and choose acceptance criteria. You select up to six AI models from different vendors to debate the goal, while a referee decides when it's genuinely accomplished. The referee bases its judgment on re-checkable evidence only: cited sources with quoted passages or code that was actually executed with real output. Models search academic databases like arXiv, OpenAlex, Crossref and Europe PMC, and run Python to verify claims. Work pauses and resumes without losing progress, stored in a shared ledger so nothing is re-derived.
- ai
- verification
- academic
- debate
- decision-making
Features worth knowing
- 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
Pricing
Pricing model: Freemium
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.
Referee.chat metrics
| Metric | Value |
|---|---|
| Domain Rating | 2 no change since last check |
| Trust Flow | 0 no change since last check |
| Citation Flow | 13 no change since last check |
| Referring domains | 31 no change since last check |
| External backlinks | 1,378 no change since last check |
Ahrefs Domain Rating scanned 1 Nov 2026, updated 1 Nov 2026. Majestic scanned 1 Nov 2026, updated 1 Nov 2026. Link stats via Majestic. Trust Flow, Citation Flow and Topical Trust Flow are trademarks of Majestic-12 Ltd.
Referee.chat domain facts
Reveal the domain facts
| Domain age | 2 months |
|---|---|
| Registered | |
| Expires | |
| Registrar | Dynadot Inc |
| DNSSEC | Not signed |
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FAQ
- What happens when an AI model gets stuck?
- Instead of the model repeatedly restating itself at full cost, it stops and hands one specific question to whichever model is best placed to answer it. This targeted question approach usually unblocks the process for a fraction of the tokens.
- Are matches private or public?
- Free matches are published publicly by default and can be branched by others. If you purchase credit, you can make matches private so your work stays private.
- How does the referee verify evidence?
- The referee requires re-checkable evidence: either a source with the relevant passage quoted, or code that was actually executed with its real output. Every seat searches academic databases including arXiv, OpenAlex, Crossref and Europe PMC, and runs Python to verify arithmetic instead of trusting assertions.
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