Vivgrid vs Knotr

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

Vivgrid compared with Knotr
Detail	Vivgrid	Knotr
What it does	The Managed Skills Platform for AI Agents	Your voice and skills in every AI tool you use
Stage	Not given	Startup
Founded	Not given	Not given
Based in	US	US
Pricing model	Freemium	Freemium
Pricing	Free plan with pay-as-you-go model usage, 5M TPM / 100 RPM rate limits. Growth plan: $25/month with $25 in token credits included, 15M TPM / 3,000 RPM rate limits. Enterprise plan: custom, volume-based pricing with BYOC, SSO/SAML, custom SLAs, VPC and private deployments.	Free: 1 Profile, 10 Skills, 50 Documents, 10 Artifacts, 1 Style Guide from Starter Pack, 100 Hosted Chat AI credits/month. Pro: $24/mo or $20/mo billed annually, 5 Profiles, 75 Skills, 500 Documents, 75 Artifacts, 1 Style Guide, 1,000 Hosted Chat AI credits/month. Max: $49/mo or $40/mo billed annual
Key features	Managed Skills with instant deployment to all agents Agent observability and debugging across all decisions Globally distributed inference with low latency Safety guardrails and agent evaluation Multi-agent orchestration with stateful memory Centralized security and access control Support for multiple frontier LLM models Real-time cost and performance insights Agent Insights dashboard	Profiles to define voice, tone, and judgment Style Guides to enforce writing rules Knowledgebases to store trusted documents and notes Skills to package repeatable workflows Artifacts for versioned, shareable outputs Hosted Chat with custom runtime MCP integration with external tools Team workspaces with shared knowledge Skill Catalog for discovery and import Collections to group and present artifacts
What makes it different	Ship agent improvements in minutes instead of release cycles Centralized skill management without requiring redeploy Complete visibility into agent decisions for fast debugging Proven safe releases with guardrails before production No infrastructure expertise required to deploy agents at scale	Output sounds like you, not generic AI, because every tool reads the same profiles and style guides Stop re-uploading docs and rewriting instructions for each new tool Individual voice, shared standards on teams Built-in changelogs instead of Git for managing skills Works with any MCP-compatible AI client without vendor lock-in
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)	39 −1 (down) since last check	2 no change since last check
Trust Flow (Majestic)	25	4
Citation Flow (Majestic)	38	25
Referring domains (Majestic)	2622	27

6 details filled in for both companies.

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