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Referee.chat vs Onlay

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 Onlay
DetailReferee.chat logo Referee.chatOnlay logo Onlay
What it doesAn AI panel debates your goal; a referee rules on re-checkable evidence Publish documents for feedback, pull edits and comments back into your agent
StageNot given Not given
FoundedNot given Not given
Based inNot given GB
Pricing modelFreemium Not given
PricingFree: $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. Free plan: $0, up to five active documents, documents up to 4 MB, 1 GB storage, last ten versions restorable, invite up to ten people per document. Pro plan: $10 USD per month (billed as $120 per year) or $12 USD per month (billed monthly), unlimited active documents, documents up to 16 MB, 50 GB st
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
  • Publish HTML or Markdown files with shareable links
  • Readers can leave comments and edit text with author permission
  • Pull edits and comments back as structured data
  • MCP server for agents without file or command access
  • Custom share links with passwords and expiry dates on Pro
  • Version history with restore capability
  • Publish entire folders as sites on Pro plan
  • Connect to external APIs and embed sites on Pro
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
  • Documents stay active at stable links across multiple published versions
  • Works natively with AI coding agents without requiring manual context management
  • CLI does not require Node, Python or other runtime dependencies
  • Screenshots in comments are listed by ID and only fetched on request
Community votes00
DR (Domain Rating by Ahrefs)2 no change since last checkNot checked yet no change since last check
Trust Flow (Majestic)00
Citation Flow (Majestic)130
Referring domains (Majestic)310

4 details filled in for both companies.

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