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Onlay vs Standards

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

Onlay compared with Standards
DetailOnlay logo OnlayStandards logo Standards
What it doesPublish documents for feedback, pull edits and comments back into your agent Your company's collective intelligence
StageNot given Not given
FoundedNot given Not given
Based inGB FR
Pricing modelNot given Paid
PricingFree 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 From €199 per seat per month (12-month commitment, prices excluding VAT). Founding customers receive 2 months free per seat, with guided installation included.
Key features
  • 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
  • Unified client records with documents, emails and meetings
  • Automatic email sorting and organization
  • Video call transcription
  • AI agents that read documents and fill forms
  • Automated routines and recurring tasks
  • OAuth integrations with 52+ external tools
  • Complete audit trail of all actions
  • Permissions-based access control
  • GitHub and Slack integration for routine triggers
  • Multi-AI model support
What makes it different
  • 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
  • Collective intelligence for entire teams, not just individual users
  • Deployed on your own infrastructure by their engineers
  • AI works under your control with manual approval before actions
  • Consolidates multiple tools into single workspace with shared memory
  • Forward deployed engineers setting up workspace for your business
Community votes00
DR (Domain Rating by Ahrefs)Not checked yet no change since last check2 no change since last check
Trust Flow (Majestic)00
Citation Flow (Majestic)023
Referring domains (Majestic)018

5 details filled in for both companies.

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