An AI agent marketplace is a catalog where you can buy, install, or hire pre-built AI agents — like an app store, but for agents that work for you.
An agent marketplace is a catalog of pre-built AI agents. Buyers browse, pick the one that fits their job, install or subscribe, and put it to work. Sellers — usually niche experts who built the agent — list it, set a price, and earn revenue every time someone uses it.
The mental model is the App Store, but for software that works *for* you instead of just running on your phone. The user is paying for the work the agent does, not for time spent staring at a UI. Pricing models vary: subscription per user, per use, per outcome, or one-time install fees.
What separates a real marketplace from a directory of links is quality control. Strong marketplaces have eval gates (does the agent actually do the job?), review systems (do real customers rate it well?), and clear tiers — usually some flavour of Certified vs Verified vs Community. Weak marketplaces are flea markets where you can't tell good from bad.
A solo lawyer browses the marketplace, finds an "intake-form triage agent" rated 4.8 by 200 firms, reads the example output, installs it in five minutes, pays £49/month, and that night the agent starts categorising incoming enquiries while she sleeps. She didn't build it — a paralegal-turned-builder in Manchester did, two years ago, and now earns from every firm using it.
Marketplaces are how AI-agent leverage compounds. Without one, every business that wants an agent has to build it. With one, the best version of an agent in your niche gets built once and used by everyone who needs it. The economics are SaaS-like: high gross margins, recurring revenue, network effects on quality.
For builders, the marketplace is the difference between "I built a great agent and now I have to figure out how to sell it" and "I built a great agent and the marketplace handles distribution, billing, and customer support". The first path kills most builders. The second one lets them focus on the agent itself.
For buyers, the marketplace is the difference between waiting six months for an internal team to build something and installing it tonight. The trade-off: you lose some control over the agent's behaviour. The right marketplace gives you customisation hooks so you can adjust without rebuilding.
Squidgy's marketplace is built for niche-expert sellers and busy buyers. Approved builders list their agents with three quality tiers — Certified (Squidgy-tested), Verified (real-customer-attested), and Community. Buyers see ratings, eval pass rates, real customer counts, and price upfront. Squidgy handles billing, payouts, tax, and refunds. Builders keep the majority of revenue earned.
The launch lineup is being curated with the first cohort of builders. Future agents are being built now in the early-access programme.
Look for three signals: number of active customers, customer ratings, and eval pass rates published by the platform. A marketplace that doesn't show these is hiding something. On Squidgy, all three are required for a Certified or Verified listing.
Most use subscription (£X/month for unlimited use within a tier) or per-use (£X per conversation, qualified lead, or task). Some bundle a one-time setup fee with monthly maintenance. Outcome-based pricing exists but is rarer because outcomes are hard to attribute cleanly.
On most modern platforms, yes — to a point. You typically get configuration options (your knowledge base, your brand voice, your business rules) without being able to rewrite the agent's underlying logic. If you need deep customisation, building from scratch is usually better than buying.
On Squidgy, yes — once you're an approved builder. You set the price, we handle billing and infrastructure, you keep the majority of revenue.
Glossary
What is AI agent?
An AI agent is software that takes a goal, decides what steps to take, uses tools to do them, and carries the work out with little or no human prodding between steps.
Glossary
What is Agent builder?
An agent builder is a tool for creating AI agents — defining what they do, what tools they can use, and how they decide — without writing all the code yourself.
Glossary
What is Vertical AI agent?
A vertical AI agent is built and tuned for one industry — real estate, legal, accounting — so it knows the workflows, vocabulary, and tools of that field out of the box.
Glossary
What is Agent eval?
Agent eval is the practice of running an AI agent against test cases to measure whether it does the job correctly — so you can ship with confidence and catch regressions.
No code. Hands-on onboarding from the team in your first cohort.