ContextIQ vs OpenMOCA™

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

ContextIQ compared with OpenMOCA™
Detail	ContextIQ	OpenMOCA™
What it does	Engineer your AI's context — visually.	An open standard for portable grounding for AI that packages knowledge with its structure and original sources
Stage	Growing	Not given
Founded	Not given	Not given
Based in	CA	GB
Pricing model	Freemium	Open source
Pricing	Not given	Not given
Key features	RAG Chunk Inspector Token Inspector Memory Architecture Visualizer Agent Workflow Visualizer HyDE Visualizer OIDC Inspector	Modular knowledge packages with optional ontology structure Readers in TypeScript, .NET and Python for consistent package interpretation RAG with verifiable citations and provenance tracking Signed packages and reviews for trust verification Sidecar indexes with lexical and semantic search Agent framework integrations including LangChain and LlamaIndex
What makes it different	Visual context architecture design with auto-layout rendering Agentic commerce protocols with x402 and ERC-8004 validation Debug RAG chunking strategies side by side	Citations and provenance you can verify against original sources Run offline on your own infrastructure without network dependency Signed packages and reviews proving who published and checked content Content freshness and scope enforcement removing outdated or irrelevant passages
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)	6 −1 (down) since last check	Not checked yet
Trust Flow (Majestic)	8	0
Citation Flow (Majestic)	16	0
Referring domains (Majestic)	31	0

5 details filled in for both companies.

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