Signals lens

Scam Detection signals

Name: Scam Detection signals
Creator: PeerPush
License: https://peerpush.com/terms

How AI assistants, crawlers, and humans are discovering products built for the Scam Detection use case on PeerPush. Updated daily.

Browse all Scam Detection products

New-entrant attention

How much discovery attention fresh launches are winning in Scam Detection. Last 7 days.

29.7% of Scam Detection discovery attention goes to newcomers

Fresh launches make up 13.3% of the products winning discovery attention in the last 7 days.

Switcher pressure

How much alternative-shopping demand is flowing toward what Scam Detection products challenge. Last 7 days.

Light

A trickle of alternative-shopping demand flows toward what this space challenges.

Who this serves

The audience mix across Scam Detection products - which audiences this space serves most.

Pricing mix

How Scam Detection products are priced. Helps buyers know what to expect.

Free50%
Freemium42.9%
Paid7.1%

Platform availability

Where Scam Detection products are available - Web, Mobile, CLI, MCP, etc.

Market concentration

How concentrated discovery attention is across Scam Detection products. Last 7 days.

58 / 100

consolidating

FragmentedConsolidated

Scam Detection is consolidating - a handful of products are capturing a growing slice of attention.

Herfindahl index: 867.4 / 10,000

Device mix

How Scam Detection gets discovered: desktop vs mobile. Last 7 days.

Desktop91%
Laptops and desktops
Mobile9%
Phones and tablets

Rising categories

Top 2

The categories gaining AI attention among Scam Detection products this week.

Explore the whole marketEvery category, audience, platform, and AI engine on one page.

Explore the catalog by lens

Jump into the catalog by what products do, who they serve, and where they run.

Use cases

Browse the products behind the use cases AI is asked about most.

Browse all use cases

Audiences

Browse the products built for the audiences AI surfaces most.

Browse all audiences

Platforms

Browse products by where they run: web, mobile, CLI, MCP.

Frequently asked questions

It shows how AI assistants, crawlers, and humans are discovering products in Scam Detection on PeerPush, including rising challengers and which AI engines are most active in this space.

Momentum is measured by week-over-week growth in detail views, clicks, AI agent results, and new product launches for products in Scam Detection; visitor-derived numbers are published only when distinct-visitor counts clear the k-anonymity floor.

The Scam Detection signals refresh on a rolling schedule, with short windows recomputed every few minutes and longer windows on slower cycles.

Yes. The Scam Detection signals are free to view on the public tier, with deeper history and detail available on Pro.

How we count AI traffic

What “AI Surface Area” combines, how we treat redaction, and why we don't show absolute counts until volume crosses a floor.