Onlay vs Letronna®

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 Letronna®
Detail	Onlay	Letronna®
What it does	Publish documents for feedback, pull edits and comments back into your agent	An AI agent with its own cloud and wallet
Stage	Not given	Not given
Founded	Not given	Not given
Based in	GB	US
Pricing model	Not given	Not given
Pricing	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	Free: $0 forever with your own API keys. Pro: $20 per month with $20 of hosted credit a month (or $240 at once on yearly, save up to 17%). Team: $18 per seat, monthly, 2 to 5 people, with $18 of shared credit per seat monthly. Compute costs about $6 per GB a month from credit, charged by the second.
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	Real files, real commands, web access, and browser beside the chat Memory written to disk as plain text you can edit and delete Auto mode with safe judgment on your own model Delegate work to helper agents sharing a task list Chat apps: Telegram, Discord and Slack integration Support for MCP servers, plugins and IDE integration Cloud tasks that keep running after you close the app Services that stay online with scheduler, webhook and watcher Web apps with their own live link at letronna.si
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	Runs locally with your own keys; nothing leaves your machine unless you connect a hosted model Starts in 7.65 ms with 84% on Harness-Bench Plain text memory files you can edit, not a black box Works with any model: OpenAI-compatible, Anthropic, Ollama, llama.cpp or hosted Pay only for hosted models and cloud compute, not per seat
Community votes	0	0
DR (Domain Rating by Ahrefs)	Not checked yet no change since last check	18 no change since last check
Trust Flow (Majestic)	0	0
Citation Flow (Majestic)	0	0
Referring domains (Majestic)	0	0

5 details filled in for both companies.

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