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NapsixB2B vs Referee.chat

A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.

NapsixB2B compared with Referee.chat
DetailNapsixB2B logo NapsixB2BReferee.chat logo Referee.chat
What it doesAI platform and agents for businesses An AI panel debates your goal; a referee rules on re-checkable evidence
StageEstablished Not given
Founded2009 Not given
Based inAR Not given
Pricing modelFreemium Freemium
PricingXIA Free (USD 0, 1 user, 500 messages/month), Starter (USD 19/month, 3 users, 1,500 messages/month), Pro (USD 49/month, 10 users, 15,000 messages/month), Business (USD 149/month, 50 users, 50,000 messages/month), Enterprise (custom negotiated). AI Gateway Free (USD 0, 100K tokens/month), Starter (US 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.
Key features
  • XIA AI assistant for team conversations and task execution
  • Rooms for team collaboration with shared context
  • Custom agents with defined jobs and scheduled execution
  • Native apps including CRM, Email, Docs, Sheets, Dashboards
  • Integrations with 1000+ connected apps
  • Multi-model AI with frontier models
  • API Gateway for integrating models into applications
  • Document generation and drafting with AI
  • Web crawling and search capabilities
  • Access controls and approval workflows
  • 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
What makes it different
  • All AI models available 24/7 in one place with multi-model routing
  • Agents execute recurring tasks with defined permissions and review controls
  • Work connected across tools without replacing existing software
  • Native proprietary model Mato with no per-token cost
  • Transparent execution history and conversation review
  • 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
Community votes00
DR (Domain Rating by Ahrefs)26 no change since last check2 no change since last check
Trust Flow (Majestic)30
Citation Flow (Majestic)2513
Referring domains (Majestic)2031

5 details filled in for both companies.

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