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Argentic vs ActionBox

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

Argentic compared with ActionBox
DetailArgentic logo ArgenticActionBox logo ActionBox
What it doesAn engine for long-running agents that rebuilds its prompt under a cap and runs on your budget Human approval infrastructure for AI agents and automation workflows
StageMVP Not given
FoundedNot given Not given
Based inNot given Not given
Pricing modelFreemium Freemium
PricingPrototype: free during beta, then from December 16, 2026 it costs $1 per 1,000 agent calls after 1,000 monthly included calls. Production: $20 a month with 20,000 agent calls included, then $1 per 1,000 calls after that. Top-ups: $1 per 1,000 calls, from $10 to $500 at a time, never expiring. Developer: Free forever with 250 Actions/month, 3 Sources, 3 Watches, 7-day history. Pro: $10/month ($120/year, save 17%) with 1,000 Actions/month, unlimited Sources, 20 Watches, 30-day history, additional Actions at $8 per 1,000-pack. Team: $49.17/month ($590/year, save 17%) with 5,000 Actions/mont
Key features
  • Prompt rebuilt from journal under token cap at each step to keep it bounded as history grows
  • Spending limits checked before each model call at token prices you declare
  • Resume after crash without repeating finished actions
  • Tool calls returned as actions for your code to carry out
  • Proof of what ran: check prompts, re-run engine, download hash-chained journal
  • Integrations with Vercel AI SDK, OpenAI Agents SDK, LangGraph, Mastra, Pydantic AI
  • MCP server for Claude Code, Claude Projects and Codex
  • Works with any model via bring-your-own-key
  • TypeScript and Python clients for HTTP API access
  • Typed decisions (Boolean, choice, text, number, rating, structured forms)
  • Heartbeat Watches for silent-work detection
  • Action Controls for safe follow-up operations
  • Multi-surface inboxes (web, mobile, Slack, CLI, MCP)
  • Model Context Protocol (MCP) integration
  • Signed receipts and durable decision history
  • Mobile app for iOS (15+) with push alerts
  • Slack approval integration (Beta)
  • CLI with bounded long-poll waiting
  • Integration guides for GitHub Actions, n8n, LangGraph, OpenAI Agents SDK
What makes it different
  • Bounded prompt under a fixed cap while history grows, so costs per call stop climbing on long sessions
  • Every run recorded with cryptographic proof: rebuilable prompts, hash-chained journal, re-runnable engine
  • Resumes from crash without repeating finished actions using stable idempotency keys
  • Budget enforcement before each model call, not reactive overage billing
  • No model key storage or logging; your provider bills you directly
  • Durable decision records that survive client disconnections and restarts
  • Reduces median approval time significantly in production environments
  • Unified API across multiple approval surfaces without building custom dashboards
  • Source-scoped identity for independent credential rotation across runners
  • Built-in monitoring for stalled background work with heartbeat watches
Free planNot given Not given
Open sourceNot given Not given
PlatformsNot given Not given
Public APINot given Not given
Community votes00
DR (Domain Rating by Ahrefs)Not checked yet no change since last check5 no change since last check
Trust Flow (Majestic)07
Citation Flow (Majestic)924
Referring domains (Majestic)442

5 details filled in for both companies.

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