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Guava 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.

Guava compared with Referee.chat
DetailGuava logo GuavaReferee.chat logo Referee.chat
What it doesVoice agent API for regulated industries An AI panel debates your goal; a referee rules on re-checkable evidence
StageEstablished Not given
FoundedNot given Not given
Based inNot given Not given
Pricing modelFreemium Freemium
PricingStarter: Free (500 minutes per year, $0.15 per minute overage). Build: $149 per month (1,500 minutes per year, $0.14 per minute overage). Scale: $499 per month (7,000 minutes per year, $0.13 per minute overage). Enterprise: Custom pricing with volume-based rates and no overages. 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
  • Code-based agent logic (Python and TypeScript SDKs)
  • Integrated ASR, language and TTS in one runtime
  • Wideband voice codec (16 kHz)
  • Turn-taking and interruption handling
  • Real-time tuning and debugging tools
  • Quick deployment via CLI
  • Email support and SLA on Scale plan
  • Multi-language support for BPO
  • Escalation to human with full context
  • 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
  • Single integrated runtime, not stitched third-party APIs
  • Built-in tenacity: agent retries, re-asks and escalates on failure
  • 14-day deployment from kickoff to live call
  • 99.9% uptime SLA across 100+ regulated deployments
  • Compliance certifications included on all plans at no extra cost
  • 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)39 no change since last check2 no change since last check
Trust Flow (Majestic)80
Citation Flow (Majestic)3713
Referring domains (Majestic)19531

5 details filled in for both companies.

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