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keinsaas 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.

keinsaas compared with Referee.chat
Detailkeinsaas logo keinsaasReferee.chat logo Referee.chat
What it doesAI sales agent for B2B outbound that automates research, lead verification, and personalized outreach An AI panel debates your goal; a referee rules on re-checkable evidence
StageStartup Not given
Founded2025 Not given
Based inEE Not given
Pricing modelPaid Freemium
PricingStandard plan: €399/month (billed monthly) or €339/month (billed annually), includes 1,000 credits per month covering up to 1,630 emails or 145 phone numbers. Additional credits charged at €0.04–0.10 per email and €0.23–0.70 per phone number. Add-ons available including CRM Sync, Extra email account 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
  • Deep web research to find and verify buyer information
  • Discovers buying signals and ICP-matched prospects
  • 80%+ verified contact data with emails and phone numbers
  • Personalized multi-channel outreach across LinkedIn and email
  • Message approval workflow before sending
  • Two-way CRM sync with HubSpot, Salesforce, Pipedrive
  • Modular system with configurable components
  • Custom modules for specialized sources
  • Works on protected, warmed accounts
  • Unified dashboard for targeting, search, enrichment, and follow-ups
  • 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
  • 80%+ verified contact data, more accurate than competitors
  • Supports your team instead of replacing it; your team still has conversations
  • Deep web research and buying signals, not just shallow LinkedIn signals
  • You approve every message before it sends; not autonomous by default
  • Modular system: use only the parts you need
  • 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)28 +1 (up) since last check2 no change since last check
Trust Flow (Majestic)90
Citation Flow (Majestic)3013
Referring domains (Majestic)8531

5 details filled in for both companies.

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