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JevModel vs Nimbalyst

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

JevModel compared with Nimbalyst
DetailJevModel logo JevModelNimbalyst logo Nimbalyst
What it doesStructured AI decisions via API and playground Agent wiki and visual workspace for Claude Code, Codex and other AI coding agents
StageNot given Not given
FoundedNot given Not given
Based inNot given Not given
Pricing modelNot given Freemium
PricingFree: 5 successful runs per UTC day after email verification. Starter: $9.90/month for 30M tokens/month. Builder: $19.90/month for 80M tokens/month. Pro: $39.90/month for 200M tokens/month. Scale: $79.90/month for 500M tokens/month. Tokens refresh monthly and do not roll over. One-time token packs a Free: Nimbalyst app and personal wiki. Wiki Teams: $20 per user per month or $200 per user per year (currently free during beta).
Key features
  • Choice decision type: select from supplied options
  • Score decision type: assign level on defined scale
  • Noul decision type: yes/no judgment against criterion
  • Decision flows: chain questions on canvas with branching
  • Batch processing for CSV, TXT, JSONL files up to 1,000 rows
  • Shared account balance across console, batch and API
  • Export results as CSV or JSONL
  • Failed requests are refunded
  • Probabilities included with all answers
  • WYSIWYG markdown editor with AI-assisted editing
  • Red/green inline diffs for AI changes approval
  • Visual editors for mockups, diagrams, and drawings
  • Parallel agent session management
  • File and session linking
  • Persistent searchable session history
  • Pull request review in Developer Mode
  • MCP server support
What makes it different
  • One API and console for playground, flows, batch and API access
  • Only questions on the executed path in flows are billed
  • Built on TypeSafe AI's Jev structured decision model
  • Test and measure decisions on your own data before production
  • Custom decision criteria defined by your own labels and rules
  • Agents write the wiki as they work, eliminating manual documentation
  • Open source and local-first: your data stays on your machine
  • Built by Evergage founders who scaled to $250M ARR
  • One unified workspace instead of multiple disconnected tools
Community votes00
DR (Domain Rating by Ahrefs)31 +1 (up) since last check45 −5 (down) since last check
Trust Flow (Majestic)915
Citation Flow (Majestic)2740
Referring domains (Majestic)79709

4 details filled in for both companies.

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