ActionBox vs Port of Context

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

ActionBox compared with Port of Context
Detail	ActionBox	Port of Context
What it does	Human approval infrastructure for AI agents and automation workflows	Context layer platform for regulated industries
Stage	Not given	Not given
Founded	Not given	Not given
Based in	Not given	Not given
Pricing model	Freemium	Freemium
Pricing	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	Free: $0, includes up to 5 members, 100 context nodes, and 100 MB of indexed content. Team: $25 per seat per month (or $200 per seat billed annually), includes up to 25 members, 1,000 context nodes, and 1 GB of indexed content. Enterprise: custom pricing, includes Forward Deployed Engineers, Hybrid
Key features	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	Model-agnostic: runs on Claude, GPT, Gemini, or open-weight models Full observability: trace every tool call, retrieval, and reasoning step Isolated execution: tool calls run in isolated environments by default Code mode: reduces token usage to one-third of traditional approaches Self-hosted on your infrastructure: cloud, on-prem, or air-gapped MCP server integration: works with existing MCP servers unchanged Open source under MIT license Automatic model failover and switching
What makes it different	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	Isolated by default with no direct system access Reduces token usage to approximately one-third Runs end-to-end air-gapped with no external network calls Full transparency through open agent-observability spec (AVP) No vendor lock-in: switch models without rewriting agents
Free plan	Not given	Not given
Open source	Not given	Not given
Platforms	Not given	Not given
Public API	Not given	Not given
Community votes	0	0
DR (Domain Rating by Ahrefs)	5 no change since last check	38 no change since last check
Trust Flow (Majestic)	7	14
Citation Flow (Majestic)	24	28
Referring domains (Majestic)	42	102

5 details filled in for both companies.

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