How do their growth rates compare?

NOAN has a month-over-month growth rate of -15.7%; Scale has +12.5%.

How does pricing compare?

NOAN: Paid. Paid, with a free starting point: you can start free and scale when you ship, and pricing is presented as live/usage-based in the app. API access, MCP, versioned facts, review-on-write, and scoped keys are part of the platform, with higher tiers aimed at teams and agencies running the facts layer in production. A startup program and grant are also offered. Scale: Contact for Pricing. Contact for pricing. Scale does not publish rates; engagements are scoped through a sales conversation and depend on data volume, services and programme complexity.

What are alternatives to NOAN and Scale?

Other tools in related categories include Notion, Glean, Roboflow, Exa, You.com.

NOAN vs Scale — Traffic (3.66K vs 616.92K), Pricing & Verdict

Open AI Tools

NOAN vs Scale — Traffic (3.66K vs 616.92K), Pricing & Verdict | Open AI Tools

Side-by-Side Traffic & Specification Matrix

Dimension / Metric	NOAN	Scale
Official Domain	getnoan.com	scale.com
Pricing Model	Paid	Contact for Pricing
Monthly Visits	3.66K (3,663)	616.92K (616,915)
MoM Traffic Delta	-684 (-15.7%)	+68.69K (+12.5%)
Primary Market & Share	🇺🇸 United States (100%)	🇺🇸 United States (44.2%)
Direct Visits / mo	1.45K	191.41K
User Rating	4.4	4.7
Supported Platforms	Website	Website

NOAN

One API for your company's verified facts, read live by every agent

Verified, versioned facts

Each fact keeps its date, sources, and the person who verified it, so nothing is silently overwritten and agents can show the receipt behind an answer.

Scoped keys and permissions

Scope one key per agent, app, or site and limit it to the stacks it needs, so the right keys read the right facts and nothing else.

Review on write

Turn review on for a project or a single key so any write an agent proposes waits for a human to verify it before it can be read.

Time Travel

See your entire fact base as it stood on any past date, so you can answer what was true when a decision was made.

Strengths & Pros

+Solves a real and specific agent problem — grounding — instead of adding another generic chatbot
+Version history, sources, and named verification make outputs auditable and defensible
+Model-agnostic and accessible over both REST and MCP, so it fits many stacks
+Review-on-write lets agents propose updates without letting them silently change pricing or policy