Category

AI Agents

Launch-ready autonomous agents for support, sales, and internal ops — trained, tested, and deployable under your brand.

1

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Industry insights

The AI agent market, in brief

The AI agent category has moved fastest of any on Stack18. Buyers are no longer experimenting — they're replacing entire support, sales, and ops functions with agents that ship as complete products, not APIs to wire together. What used to require a six-month internal build now ships as a listing with a price tag and a demo.

Market size

$47.2B

Projected AI agent software spend, 2026

Fastest-growing segment

Support agents

61% of category listings sold this quarter

Median price

$19,800

Across all AI agent listings

Latest trends

  • Buyers increasingly favor agents with visible audit trails over black-box automation, for compliance reasons.
  • Voice-capable agents are the fastest-growing sub-segment, driven by contact-center replacement use cases.
  • White-label resale of AI agents by agencies has become a meaningful share of category demand.

Featured AI agents

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Buying guide

How to evaluate an AI agent before buying

01

Check what it's actually trained on

A listing should specify its training data sources, not just claim "AI-powered." Look for a documented ingestion process.

02

Confirm audit and escalation logic

You need visibility into every decision the agent makes, and a clear path to human handoff.

03

Compare integration depth, not just count

Ten shallow integrations matter less than two that are deeply wired into your existing workflow.

Agent Price Channels White-label
Atlas$18,400Chat, email, voiceYes
Nimbus$21,900Email, CRMYes
Reply$14,200EmailNo
FAQ

Common questions

What does an AI agent on Stack18 actually include?

Full source code, a trained resolution or automation engine, an admin dashboard, and documentation — not just a prompt template.

Can I customize an AI agent after buying it?

Yes. Every listing includes the underlying source, and Stack18's customization service can extend it further.

How is pricing determined for AI agents?

Pricing reflects build complexity, training data scope, and integration depth, benchmarked against the cost of building the same agent in-house.