Argentic 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.

Argentic compared with Port of Context
Detail	Argentic	Port of Context
What it does	An engine for long-running agents that rebuilds its prompt under a cap and runs on your budget	Context layer platform for regulated industries
Stage	MVP	Not given
Founded	Not given	Not given
Based in	Not given	Not given
Pricing model	Freemium	Freemium
Pricing	Prototype: 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.	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	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	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	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	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)	Not checked yet no change since last check	38 no change since last check
Trust Flow (Majestic)	0	14
Citation Flow (Majestic)	9	28
Referring domains (Majestic)	4	102

5 details filled in for both companies.

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