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Jev Model vs Kynver

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

Jev Model compared with Kynver
DetailJev Model logo Jev ModelKynver logo Kynver
What it doesStructured AI decisions with probabilities for developers An AI workforce that runs on your machines
StageNot given MVP
FoundedNot given Not given
Based inNot given US
Pricing modelPaid Freemium
PricingStarter: $9.9 with 100,000 credits, no expiry; Pro: $99 with 1,000,000 credits, no expiry; Enterprise: $999 with 11,000,000 credits. One-time plans do not auto-renew; credits remain available after purchase. Free: $0/mo (1 agent, 10k API calls/mo). Starter: $9/mo (2 agents, additional agents $7 each). Pro: $29/mo (5 agents, additional agents $5 each). Business: $99/mo (25 agents, additional agents $3 each). Agentic OS early access is free while in beta.
Key features
  • Typed decision output with Choice, Score, and Noul question types
  • Probability and confidence results on every answer
  • Online playground for testing with unlimited runs
  • REST API and SDK integration
  • Multiple concurrent requests
  • Team workspaces and collaboration
  • Up to 8 typed questions per request
  • Fast decision latency around 120ms
  • Agent Skill for coding agents and LLM workflows
  • Support for English and Simplified Chinese
  • Command Center shows goals, plans, and shipped work with pull request integration
  • Agent runs on your own hardware with persistent, stoppable execution
  • Signed, tamper-evident receipts for all memory access
  • Encrypted Vault for private information sealed in browser before upload
  • Trust score from 0 to 1000 based on verifiable activity
  • Verified badge eligibility for published agents
  • MCP tools for building and publishing custom agent capabilities
  • JavaScript and Python SDKs with auto-instrumentation for tracking
  • Cryptographic verification that instructions come from your workspace
  • Full memory export with no vendor lock-in
What makes it different
  • Structured output with defined answer space
  • Probability-backed decisions code can use directly
  • Multiple questions from one state in parallel
  • Developer control over business logic and actions
  • Designed to integrate into existing systems without replacement
  • Agents run on your machines with full data privacy and local execution
  • Verifiable, tamper-evident audit trail for every agent action
  • Agent memory persists across model changes with no loss of context
  • Finished work delivered, not chat logs—pull requests and shipped tasks
  • Earn from published agents through creator payouts on the directory
Community votes00
DR (Domain Rating by Ahrefs)13 +1 (up) since last checkNot checked yet no change since last check
Trust Flow (Majestic)00
Citation Flow (Majestic)2313
Referring domains (Majestic)594

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