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Kairos vs Letronna®

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

Kairos compared with Letronna®
DetailKairos logo KairosLetronna® logo Letronna®
What it doesThe transaction layer for AI agents An AI agent with its own cloud and wallet
StageMVP Not given
FoundedNot given Not given
Based inUS US
Pricing modelContact for pricing Not given
PricingPer-execution pricing: one fee per execution that returns proof, charged only when proof comes back. Failed or cancelled runs cost nothing. Planning and approvals are free. 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
  • Boundary approval system for controlled execution
  • Checkpoint-based resumable execution
  • Verifiable proof of completion
  • Composable proof for multi-agent workflows
  • Per-execution pricing model
  • Integration with multiple agent frameworks
  • 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
  • Pay only for verified results, not for attempts or planning
  • Human-approved boundaries ensure agent actions stay within limits
  • Interruptible checkpoints allow pausing and resuming executions
  • Proof is built into results for auditability and composability
  • 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 votes00
DR (Domain Rating by Ahrefs)Not checked yet no change since last check18 no change since last check
Trust Flow (Majestic)00
Citation Flow (Majestic)100
Referring domains (Majestic)10

5 details filled in for both companies.

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