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JevModel vs Onlay

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 Onlay
DetailJevModel logo JevModelOnlay logo Onlay
What it doesStructured AI decisions via API and playground Publish documents for feedback, pull edits and comments back into your agent
StageNot given Not given
FoundedNot given Not given
Based inNot given GB
Pricing modelNot given Not given
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 plan: $0, up to five active documents, documents up to 4 MB, 1 GB storage, last ten versions restorable, invite up to ten people per document. Pro plan: $10 USD per month (billed as $120 per year) or $12 USD per month (billed monthly), unlimited active documents, documents up to 16 MB, 50 GB st
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
  • Publish HTML or Markdown files with shareable links
  • Readers can leave comments and edit text with author permission
  • Pull edits and comments back as structured data
  • MCP server for agents without file or command access
  • Custom share links with passwords and expiry dates on Pro
  • Version history with restore capability
  • Publish entire folders as sites on Pro plan
  • Connect to external APIs and embed sites on Pro
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
  • Documents stay active at stable links across multiple published versions
  • Works natively with AI coding agents without requiring manual context management
  • CLI does not require Node, Python or other runtime dependencies
  • Screenshots in comments are listed by ID and only fetched on request
Community votes00
DR (Domain Rating by Ahrefs)30 +1 (up) since last checkNot checked yet no change since last check
Trust Flow (Majestic)90
Citation Flow (Majestic)270
Referring domains (Majestic)790

4 details filled in for both companies.

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