Mlola 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.

Mlola compared with Port of Context
Detail	Mlola	Port of Context
What it does	Reliable browser use with a fast path: deterministic mechanics, safety and verification, and a model asked only for judgement.	Context layer platform for regulated industries
Stage	Not given	Not given
Founded	Not given	Not given
Based in	ID	Not given
Pricing model	Not given	Freemium
Pricing	Not given	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	Observe page state in atomic passes without screenshots Model picks operations only from compatible targets Risk classification for payments, deletions, sends and secrets Typed actions with freshness, visibility and occlusion checks Append-only event log for replay and audit Chrome automation through Playwright Browser extension for agent isolation	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	Deterministic browser mechanics as default, models only for judgement and writing Safety enforced through code boundaries, not prompt requests Every step verified independently before proceeding Cost measured by fast-path share on every run Capabilities advertised honestly, imitation refused	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)	10 no change since last check	38 no change since last check
Trust Flow (Majestic)	0	14
Citation Flow (Majestic)	27	28
Referring domains (Majestic)	28	102

3 details filled in for both companies.

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