AI AGENT MARKETPLACE
AI Agent Marketplace: Where to Buy Agents in 2026 — and What They Really Cost
"AI agent marketplace" describes at least five different storefronts with completely different economics: enterprise catalogs where the agent is the cheap part, walled consumer stores, creator skill registries, payment rails, and open-source marketplaces. The listing price is almost never the whole price — here is what each requires before you can buy, what the fine print says, and how to evaluate an agent listing before it touches your tools.
First, know which kind of marketplace you are standing in
"AI agent marketplace" is one label stretched across five distribution models. They differ in who vets the agent, how deeply it embeds in your stack, and how much you can inspect before you commit. Knowing which one you are standing in tells you what questions to ask:
| Model | Who it is for | Examples | The catch |
|---|---|---|---|
| Suite-native enterprise stores | Companies already on the platform | AgentExchange (Salesforce), Agent Store (Microsoft 365 Copilot), Fusion (Oracle), ServiceNow Store | Agents run only on the vendor's platform — the agent price is never the whole price |
| Cloud marketplaces | Enterprise procurement on AWS / Google Cloud | AWS Marketplace AI Agents & Tools, Google Gemini Enterprise Agent Marketplace | Bills through the cloud account; seats required before any listing is buyable |
| Consumer walled stores | Individuals on a subscription | GPT Store, Poe, agent.ai | Huge reach, thin curation; creators face winner-take-most payouts |
| Skill & asset registries | Developers on coding agents | skills.sh, ClawHub, skills directories, MCP registries | Distribution without payment rails — listings are free, monetization is off-platform |
| Open marketplaces | Buyers who want portability; creators who want published revenue share | VibeFuse marketplace, open SKILL.md marketplaces | Smaller catalogs than the scrapers — but portable assets and flat published payouts |
The buying decision is now a permissions decision, not just a features decision: a marketplace listing used to distribute code you would run; an agent listing distributes an actor that will run inside your business, with access to your tools and data.
The enterprise marketplace map (2026)
Five of the biggest software vendors launched agent marketplaces in the last eighteen months. None of them is a neutral market — each is a distribution channel for the platform that owns it, and the price of admission is a seat on that platform. What each catalog actually requires before you can buy anything:
| Marketplace | Where agents run | What you need before you can buy | Creator economics |
|---|---|---|---|
| AWS Marketplace — AI Agents & Tools | Amazon Bedrock AgentCore, inside your own AWS account | An AWS account; purchases bill through AWS (3% transaction fee on public SaaS offers) | AWS keeps a 3% cut; MCP and A2A supported |
| Google Agent Marketplace (Gemini Enterprise) | Inside the Gemini Enterprise Agent Platform, surfaced through the Agent Gallery | Gemini Enterprise Plus at $50/seat/mo on annual commitment ($60 without) — the $30 Standard edition has no marketplace access | 12 featured partners at launch, 100+ partner agents |
| Microsoft Agent Store (Microsoft 365 Copilot) | Inside Microsoft 365 Copilot and Teams, on your tenant | Microsoft 365 Copilot licences plus Copilot Credits for whatever the agent consumes | 3% store service fee (down from 20% in 2021) — the lowest published cut among the giants |
| Salesforce AgentExchange | Inside Agentforce, on your Salesforce org | Salesforce plus Agentforce (~$800M ARR, ~18,500 customers); usage bills in Flex Credits or per conversation | ~15% of net subscription revenue on paid listings; 200+ launch partners |
| ServiceNow Store (AI agents category) | Inside the ServiceNow platform | ServiceNow licensing; opened to any agent (Claude, Copilot, custom) in 2026 | Curated enterprise catalog |
| Claude Marketplace (Anthropic) | Enterprise procurement via Anthropic commitments | An existing Anthropic spend commitment; limited preview, partner waitlist | 0% commission — Anthropic manages partner invoicing against your commitment |
| Oracle Fusion AI Agent Marketplace | Inside Fusion Cloud Applications | Oracle Fusion stack | Suite-native; newest entrant |
The pattern: the listing is never the whole price
To buy from Google's marketplace you first need Gemini Enterprise Plus ($50/seat/mo, annual commitment) because the $30 Standard edition excludes marketplace access entirely. Microsoft's Agent Store needs Copilot licences plus a Copilot Credit pool for agent consumption. AgentExchange requires Agentforce. Every vendor marketplace sells agents that only run on that vendor's platform — so a "cheap" agent listing on top of an expensive platform is expensive. The one exception worth naming: rail-neutral stores that deploy agents onto your own stack with no platform seat, and open marketplaces where the buyer-side harness itself costs $0.
The consumer side: what ready-made agents actually cost
Outside the enterprise suites, the consumer and SMB market has real pricing data now. An analysis of 807 published agent listings (2026) found a bimodal distribution: basic productivity agents cluster at $9–15/month, vertical specialists at $19–29, with a long tail past $50 for compliance-grade agents. 82% of agents price between $10 and $50 a month, and by category:
| Category | Median price | What's in it |
|---|---|---|
| Lifestyle & entertainment | $10–12/mo | Meal planning, fitness, hobby agents, story generators — priced against free consumer apps |
| Content & education | $16–17/mo | Blog generators, podcast assistants, tutoring, study planning |
| Marketing | $17–20/mo | Listing copy, lead nurturing, competitive research |
| Vertical specialists | $20–30/mo | Industry workflows where the buyer saves hours weekly |
| Compliance-grade outliers | $499/mo | Healthcare identity and SOX-aligned finance governance agents — sold against $50K+ enterprise IAM contracts |
The walled stores hide their economics instead. The GPT Store pays creators from a pooled share of subscription revenue allocated by engagement — no published rate per use; observed payouts work out to roughly $0.03 per conversation, and creators must sustain 25+ qualifying conversations per week just to enter the pool. OpenAI's newer Apps SDK routes digital purchases through the developer's own checkout for now, with in-app monetization and the Agentic Commerce Protocol take still unpublished — which means the storefront with the most reach is the one whose cut you cannot price around. Poe, by contrast, pays per message transparently. Anthropic's Claude Marketplace takes 0% but is enterprise-procurement-gated. ClawHub (52,000+ tools, 12M+ downloads) pays $0 — it is a distribution registry, not a storefront.
Where does VibeFuse fit? It is the buyer side of the open marketplace model: the first ever free widget-based AI harness where the marketplace is built into the app — browse widgets, skills, and styling packs, install in one click, and the assets run on your own Windows machine with local/offline processing. Creators keep a flat 80% via Stripe Connect on $0.50–$500 creator-set pricing with no listing fee, so buyer pricing stays clean: what you pay is what the creator set, not a stack of platform fees.
How to evaluate an agent listing before it touches your tools
An agent listing distributes an actor, not an app. The demo shows the happy path; the real evaluation is what happens when the prompt is messy, the data is bad, or the action fails halfway. Eight checks that separate working agents from demos, drawn from buyer-side evaluation practice:
1. Permissions are scoped, not shared
OAuth where the tool supports it, scoped API keys elsewhere, read-only where possible, write only where needed. "Same credentials as your admin user" is a disqualifying answer. You must be able to grant exactly what the listing asks — and revoke it instantly.
2. It reviews before it acts
A good agent shows you the draft email, the proposed change, the new branch — before any of it goes live. An agent that fires actions and asks forgiveness is a liability, especially for anything irreversible.
3. You can stop it — and undo
Pause, stop, and undo are separate promises. Work already accepted by an external service may finish even after the agent stops; ask for the cancellation boundary and a reversible test, not a promise.
4. Spend limits and logs exist
A ceiling on what one run can spend, and an audit trail you can reconstruct six months later: proposed action, approver, timestamp, final state. 88% of enterprises reported agent security incidents in 2026 — only 21% had runtime visibility.
5. Duplicate-safe retries
Networks blip. If a retry re-sends the email or re-books the flight, that is a bug the vendor must have an answer for. Ask what happens when the same request arrives twice.
6. Hostile content is untrusted input
Prompt injection through a web page, PDF, or email the agent reads is the #1 attack class. The vendor should have a published threat model — and a trial that refuses a harmless injected instruction.
7. Tokens are stored safely, revocably
Where credentials are stored, who can access plaintext, and whether cancellation revokes them at the provider. Three clauses, one question — a credential review missing any clause is incomplete.
8. You know the total cost
Agent price + platform seat + metered usage + credit pools. The per-seat model is breaking anyway — agents outnumber employees in many environments — so prefer usage-metered listings with published rates over seat bundles.
One more filter before you buy: check what the skill/agent layer you are installing has been through. A March 2026 audit of 22,511 public agent skills across four registries found 140,963 security findings (~6.3 per skill), and Snyk's ToxicSkills research rated 13.4% of scanned skills critical. Marketplaces that security-scan before listing exist — and are worth the curation.
How big is this market?
Analysts disagree on the perimeter, which is why estimates for the same year range from $7 billion to $206 billion. The convergence point that is reliable:
- The standalone AI agents market reached roughly $10.9B in 2026 (Grand View Research), with cross-firm CAGR converging in the 44–50% band
- Gartner's broader measure — AI agent software spend, including agents embedded in enterprise apps — forecasts $206.5B in 2026, up 139% from $86.4B in 2025
- Consensus landing zone for 2030: $50–53B for the standalone market
- The deployment gap is the defining tension: 62–93% of enterprises are experimenting with agents, but only 14–23% have reached production scale
Translation for a buyer: the storefronts are being built faster than the vetting is. Marketplace listings are multiplying faster than security review — which is exactly why the eight checks above matter more in 2026 than which storefront has the bigger catalog.
Selling instead of buying?
The creator side of this economy has its own comparisons: every channel for selling AI agents with real creator economics, every MCP server marketplace compared (70–85% revenue shares, the x402 pay-per-call rail, and why the big directories pay $0), and the open-source marketplace landscape — what "open" actually buys you across four layers.
Planning a listing? Start with how to publish a VibeFuse skill or how to sell AI widgets — or go straight to the full marketplace comparison.
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AI agent marketplace FAQ
What is an AI agent marketplace?
A catalog where you browse, buy, and deploy ready-made AI agents instead of building them. "AI agent marketplace" actually describes five different storefront models: suite-native enterprise stores (Salesforce AgentExchange, Microsoft Agent Store, Oracle Fusion, ServiceNow), cloud marketplaces (AWS Marketplace AI Agents & Tools, Google Gemini Enterprise), consumer walled stores (GPT Store, Poe, agent.ai), skill/asset registries (skills.sh, ClawHub, MCP registries), and open marketplaces with published revenue share (VibeFuse marketplace). They differ in who vets agents, how deeply agents embed in your stack, and what the listing price leaves out.
Where can I buy AI agents for my business?
Match the marketplace to your stack: Salesforce shops buy through AgentExchange, Microsoft 365 shops through the Agent Store in Copilot, AWS shops through AWS Marketplace AI Agents and Tools (deploys to Bedrock AgentCore), Google Cloud shops through the Gemini Enterprise Agent Marketplace, and ServiceNow shops through the ServiceNow Store. Anthropic runs the Claude Marketplace for enterprises with existing Anthropic spend commitments. The catch that runs through all of them: agents run only on the owning vendor's platform, so the agent price is never the whole price — Google's marketplace alone requires Gemini Enterprise Plus at $50/seat/month because the $30 Standard edition excludes marketplace access.
How much do ready-made AI agents cost?
Consumer and SMB pricing clusters tightly: an analysis of 807 published listings (2026) found 82% pricing between $10 and $50/month — basic productivity agents at $9–15, vertical specialists at $19–29, compliance-grade outliers at $499 sold against $50K+ enterprise contracts. Enterprise marketplace listings look cheaper but ride on platform seats (Copilot licences, Agentforce, Gemini Enterprise Plus). The GPT Store is free to use but pays creators from an opaque engagement pool — roughly $0.03 per conversation — which shapes what you get for free.
Is it safe to deploy an AI agent from a marketplace?
It is safe when the agent has scoped, revocable permissions and a human stays in the loop for high-stakes actions — and unsafe by default otherwise. The security context is real: a March 2026 audit of 22,511 public agent skills found 140,963 findings (~6.3 per skill), Snyk rated 13.4% of scanned skills critical, and 88% of enterprises reported agent security incidents in 2026 with only 21% having runtime visibility. Before deploying: audit every permission (OAuth and scoped keys, read-only defaults), require approval before actions, confirm you can pause/stop/undo, set spend limits, verify audit logging, and test the agent's response to a prompt injected through content it reads.
What should I check before buying an AI agent?
Eight checks separate working agents from demos: (1) scoped permissions you can revoke instantly; (2) it shows you what it will do before it acts; (3) pause, stop, and undo are separate, testable promises; (4) spend limits plus an audit trail you can reconstruct later; (5) duplicate-safe retries when a network blips; (6) hostile content treated as untrusted input with a published threat model; (7) credentials stored safely and revocable at the provider on cancellation; (8) the total cost — agent price plus platform seat plus metered usage plus credit pools. A demo shows the happy path; these checks show what happens when the prompt is messy or the action fails halfway.
Which AI agent marketplace has the lowest fees for creators?
Published numbers as of 2026: Microsoft Marketplace charges a 3% store service fee (down from 20% in 2021 — the lowest among the giants), Salesforce AgentExchange takes ~15% of net subscription revenue on paid listings, AWS keeps 3% on public SaaS offers, the GPT Store pays an undisclosed engagement-weighted share, and Anthropic's Claude Marketplace takes 0% commission but is procurement-gated to enterprises with Anthropic commitments. ClawHub and the open skill registries pay $0 — they are distribution, not storefronts. The VibeFuse marketplace pays a flat 80% via Stripe Connect on widgets, skills, and styling packs ($0.50–$500 creator-set pricing, no listing fee) with portable SKILL.md assets.
What is the difference between an agent marketplace and an MCP or skills marketplace?
Agents are complete autonomous workers you buy to run jobs; skills (SKILL.md files) teach agents you already run how to do a task well; MCP servers are tool integrations that grant agents access to systems. The storefronts differ accordingly: agent marketplaces sell outcomes with vetting and permissions; skill registries distribute cheap portable files with little curation; MCP marketplaces meter per-call usage through hosted endpoints. Many creators stack all three — an agent bundle with its skills and the MCP tools it needs — and buyers increasingly assemble the same way.
How big is the AI agent marketplace market?
Estimates vary by perimeter: the standalone AI agents market is roughly $10.9B in 2026 (Grand View Research) with cross-firm CAGR converging at 44–50%, while Gartner's broader measure — AI agent software spend including agents embedded in enterprise applications — forecasts $206.5B for 2026, up 139% year over year. Consensus for 2030 lands around $50–53B for the standalone market. The defining tension is the deployment gap: 62–93% of enterprises are experimenting with agents but only 14–23% have reached production scale, and Gartner projects over 40% of agentic AI projects will be canceled by end of 2027.