Google Cloud AI Agent Marketplace

What is Google Cloud AI Agent Marketplace?

Google Cloud AI Agent Marketplace is a catalog for discovering, purchasing, and deploying validated AI agents that integrate with Gemini Enterprise through the Agent2Agent protocol. It lets enterprises browse and evaluate partner-built agents with Gemini-powered natural language search and dedicated agent pages. Customers buy agents through existing Google Cloud accounts, and administrators register them in Gemini Enterprise environments with governance controls such as IAM and Private Marketplace. It is built for enterprise teams that need a managed way to source AI agents for work such as customer support or data analysis.

Key Features

• Agentspace: Google Cloud AI Agent Marketplace includes Agentspace, an enterprise agent platform that connects AI agents across Google Workspace and Google Cloud services, so teams can run workflows that use context from tools like email and calendars without custom coding.
• Gemini Enterprise for Customer Experience (CX): This unified platform uses prebuilt and configurable AI agents powered by Gemini models to manage retail customer journeys from discovery through post-purchase support, which helps retailers coordinate customer interactions in one place.
• Agents Development Kit (ADK) for Java: ADK for Java is a toolkit for building AI applications beyond simple LLM calls on Google Cloud, and it supports scalable, stateful agents for more complex tasks.
• Google Workspace and Google Cloud connections: Agentspace links services across Google Workspace and Google Cloud, which matters for workflows that need information from more than one Google product.
• Vertex AI support: Core parts of the Google Cloud AI Agent Marketplace, including Agentspace and ADK for Java, depend on Vertex AI, so users can build and run agentic workflows on Google Cloud infrastructure.

Use Cases

• Retail Operations Manager: Uses agentic AI tools to guide customers and store associates from project planning to execution at The Home Depot. The system recommends projects and automates complex material orders for professional contractors, and projects move from the "how-to" stage to "done" with automated fulfillment.

• Ecommerce Customer Service Lead: Uses Google Cloud's agentic solution to support Kroger's digital shopping experience. Shoppers can start a conversation with Gemini Enterprise for Customer Experience, then move into problem-solving, personalized recommendations, and transaction completion in one flow.

• Sales Operations Manager: Uses AI agents in sales workflows, based on Siemens' reported results in Salesforce's 2026 State of Sales report. Teams use agents for prospecting, research, and content creation, and research and content creation time drops by over one-third.

Strengths and Weaknesses

Strengths:

• Public information in the source set is limited on positive sentiment. Trustpilot shows a 1.4 out of 5 rating across 10 reviews, and the research notes cross platform discrepancies in feedback (Trustpilot, 2026).
• The listing is part of Google Cloud's public marketplace and blog materials, which gives potential users an official source to review before adoption (Google Cloud blog, source provided).

Weaknesses:

• Trustpilot reviewers (2026) frequently describe billing confusion and unexpected charges. One Trustpilot reviewer, 2025-12-30, said free credits "don't actually prevent charges," and another Trustpilot reviewer, 2026-04-10, called the pricing structure deceptive.
• Support access is a repeated complaint in the source set. A Trustpilot reviewer, 2025-05-29, said support was "hidden and unreachable," and another Trustpilot reviewer, 2026-01-30, reported a 3 week loop before reaching a human sales rep.
• Some reviewers report being billed for services they say they did not intend to use. A Trustpilot reviewer, 2026-04-11, claimed charges reached "several thousand" for unused services, and a Trustpilot reviewer, 2025-12-30, reported about £240 in a few days while testing a small Gemini app.
• Usability and access issues also appear in reviews tied to Google Cloud services. A Trustpilot reviewer, 2026-03-21, said backed up photos and videos were hard to access, and another Trustpilot reviewer, 2026-03-11, described the service as confusing and said there were hidden costs.

Pricing

• Free: Pay for Google Cloud resources used. Free trial availability is noted, no credit card required, with month-to-month terms and provider-defined usage limits.
• Subscription-based: Standard $9.99/month, Pro $39.99/month, Enterprise $99.99/month. Some listings include discounts for 1-year and 3-year commitments, and usage limits are defined by agent providers.
• Usage-based: Billed per custom metrics, for example $5/hour. Free trial availability is noted, no credit card required, with month-to-month terms and provider-defined usage limits.

Partner pricing sets the final terms. There are no Marketplace-wide caps, and overage behavior is partner-defined.

Who Is It For?

Ideal for:

• Enterprise IT administrators in Google Cloud environments: Fits teams that manage Gemini Enterprise and need centralized governance, secure procurement, and fast deployment of validated AI agents. It addresses fragmented agent discovery and compliance risk in enterprise settings.
• AI platform leads at large consultancies: Fits groups that build custom agents with Vertex AI and want marketplace distribution. They can validate agents, list them through the marketplace, and support pricing models such as subscriptions or outcome-based pricing.
• DevOps engineers managing Gemini environments at 50+ employee companies: Fits technical teams that need Google Cloud IAM controls and predictable OpEx billing for third-party agents. Public information says setup time can drop from weeks to minutes.

Not ideal for:

• Solo developers or indie builders: It requires a Google Cloud account and admin approval processes, so self-serve users may prefer Hugging Face Spaces or Replicate.
• Small startups or non-technical SMB teams without a Google Cloud commitment: The model is tied to GCP billing, IT-led procurement, and Gemini Enterprise, so teams outside that stack may find SmythOS, Flowise, Voiceflow, or n8n a better fit.

Use Google Cloud AI Agent Marketplace if your company already runs on Google Cloud and wants governed access to validated agents through enterprise procurement. Skip it if you need fast experimentation, direct end-user access, or a tool that works well outside the GCP ecosystem.

Alternatives and Comparisons

• Salesforce Agentforce: Google Cloud AI Agent Marketplace does broader cross-app workflows better, with connections across Google Workspace, Google Cloud services, and third-party tools. Salesforce Agentforce does CRM-centered work better, especially for lead qualification, case routing, and governance tied to Salesforce data. Choose Google Cloud AI Agent Marketplace if work spans Workspace and Cloud, choose Salesforce Agentforce if Salesforce CRM is the main system. Switching difficulty from Agentforce is medium, based on the research.

• Microsoft Copilot Studio: Google Cloud AI Agent Marketplace does Google ecosystem context better, especially across Gmail, Drive, Sheets, and Vertex AI multi-agent workflows with BigQuery integration. Microsoft Copilot Studio does Microsoft 365 governance better and has a larger third-party connector ecosystem. Choose Google Cloud AI Agent Marketplace for Google-centered teams, choose Microsoft Copilot Studio for Microsoft-heavy enterprises.

• Kore.ai: Google Cloud AI Agent Marketplace does Google Cloud integration better, with tighter ties to Vertex AI and BigQuery, plus managed scaling and agent evaluation tools. Kore.ai does multi-cloud support better, with 300+ pre-built agents, 250+ enterprise connectors, and pricing options that include session, per-seat, and pay-go. Choose Google Cloud AI Agent Marketplace for organizations already invested in GCP, choose Kore.ai for multi-cloud flexibility or a marketplace with more ready-made agents.

Getting Started

Setup:

• Signup: Email-only signup is supported, team signup is available, and SSO is available at signup. No free trial is listed.
• Time to first result: Research data puts first results at 5 to 15 minutes through the onboarding wizard, with sample templates available and a minimal useful interaction for first use.

Learning curve:

• The learning curve is shallow for GCP users and steeper for non-GCP teams. Background needed is truly no-code, and the first month often shifts from agent discovery and deployment to IAM and Private Marketplace governance.
• Beginner: 30 to 60 minutes to proficiency. Experienced: under 10 minutes.

Where to get help:

• Official help is available through Google Cloud documentation, including the tutorial for exploring AI agents. Public response time for this product is not documented in user reports.
• Support channels include Google Cloud Support, live chat, email, and dedicated CSM coverage. Marketplace-specific feedback on responsiveness is limited, and support appears to sit under general Google Cloud paid support with 24/7 access.
• Community activity appears small and mostly unanswered. Public community spaces such as Discord, Slack, GitHub Discussions, and forums were not found, and third-party learning content is low.

Watch out for:

• Employee requests may need IT admin approval before teams can move forward.
• IAM configuration can slow setup if your team needs governance controls early.

Google Cloud AI Agent Marketplace Integration Ecosystem

Users describe the integration ecosystem as strongest inside Google Cloud, with an API first approach centered on GCP services rather than broad external app connections. Reports say core links such as Vertex AI and BigQuery work reliably for enterprise scale agent projects, but setup can be slow when IAM policies and permissions need extra work. Public research for this section does not note an MCP server.

• Vertex AI: Users describe Vertex AI as the main integration for building and deploying agents, and they say data pipelines for retrieval augmented generation and model fine tuning work well.
• BigQuery: Users often connect BigQuery to agent knowledge bases for large dataset queries, and they report reliable ML integration with some latency in agent responses.
• Cloud Storage: Users use Cloud Storage for agent data retrieval and multimodal inputs, and they praise its scale while also pointing to complex permission setup.

Users often ask for more connections outside Google Cloud. The most requested gaps include external CRMs such as Salesforce or HubSpot, no code tools such as Zapier, and open source agent frameworks such as LangChain.

Developer Experience

Google Cloud AI Agent Marketplace gives developers a catalog to discover, customize, and deploy pre-built AI agents through the Google Cloud console, Vertex AI, and Agent Builder integrations. Public feedback says the developer surface is broad, with APIs for agent creation, tuning, and orchestration, but the docs are spread across multiple product areas and some API references and quickstarts are out of date. Reported time to first result ranges from 1 to 2 hours for teams already familiar with Vertex AI, and 1 to 2 days for newcomers who run into IAM setup, billing issues, and marketplace discovery friction.

What developers like:

• Public feedback describes the Python SDK as solid for prototyping, with type safety and Gemini model integration called out as useful.
• Developers often praise the pre-built agents for quick RAG and search use cases.
• Teams already using Google Cloud report that scaling and connecting agents with services such as Functions or Pub/Sub fits existing workflows.

Common frustrations:

• Developers frequently report heavy IAM and permission hurdles before they can deploy or test agents.
• Docs are described as fragmented across Vertex AI, Agent Builder, and Marketplace pages, and some reviewers mention incomplete API references and mismatched console flows.
• Opaque pricing for marketplace agents and slow agent evaluation in the console are recurring complaints.

Security and Privacy

• Trust center: Google links to its AI security page for security information. (source: https://cloud.google.com/security/securing-ai)
• Data ownership: The vendor states customer data remains customer-owned. (source: research data)
• Training on user data: The vendor states user data is not used for training. (source: research data)
• Audit logs: Audit logs are available, per the vendor's stated privacy details. (source: research data)
• Access control: Role-based access control is available, per the vendor's stated access control details. (source: research data)

Product Momentum

• Release pace: Google Cloud AI Agent Marketplace is actively advancing, with recent unveilings at Google Cloud Next '25 that point to frequent enterprise-focused iterations. Public updates appear through Google Cloud blogs and events, and no detailed public changelog or roadmap was identified.

• Recent releases: In April 2025, Google launched the AI Agent Marketplace with Gemini Enterprise validation and natural language search. Google also introduced the Agent2Agent (A2A) protocol in April 2025 with 50+ partners, and released the Agent Development Kit in April 2025.

• Growth: The trajectory is growing, backed by Google Cloud as a big-tech platform and expanding with thousands of pre-vetted agents, 50+ A2A partners, and integrations across Gemini Enterprise, Workspace, and enterprise apps.

• Search interest: Google Trends data is flat or unavailable for this term, with +0.0% change across the measured period and a latest score of 0/100.

• Risks: No notable controversy was identified. The main dependency risk is reliance on Google Cloud infrastructure and Gemini models, though the research notes multi-model support and open protocols like A2A as mitigating factors.

FAQ

What is Google Cloud AI Agent Marketplace?

Google Cloud AI Agent Marketplace is a dedicated section within Google Cloud Marketplace for discovering, evaluating, and deploying pre-vetted conversational AI agents. These agents run on Google Cloud and integrate with Gemini Enterprise through the Agent2Agent (A2A) protocol.

How do I find and deploy AI agents on Google Cloud Marketplace?

You can use AI Mode in the Cloud Marketplace search bar by clicking the AI button and describing your business need. The assistant suggests matching agents, and product cards show metadata, descriptions, features, pricing, and deployment options before purchase through a Google Cloud account.

What is Google Cloud AI Agent Marketplace used for?

It is used to discover and buy enterprise AI agents with Google Cloud procurement and billing. It also supports governed deployment in Gemini Enterprise.

Does Google Cloud AI Agent Marketplace work with Gemini Enterprise?

Yes. The listed agents are described as integrating with Gemini Enterprise through the Agent2Agent (A2A) protocol.

What pricing models are available for agents in Google Cloud AI Agent Marketplace?

Agents can use free, subscription-based, or usage-based pricing. Pricing is set by each agent provider when they create a listing.

Is Google Cloud AI Agent Marketplace free?

The marketplace includes agents with free pricing models, but there is no single marketplace-wide free plan for every listing. Research also notes that Google Cloud resources used may still incur charges.

How is billing handled for purchases?

Customers use consolidated billing through their existing Google Cloud account. That means agent purchases can be managed within the same billing setup used for other Google Cloud services.

How long does pricing review take for providers?

Google reviews pricing set by providers in Producer Portal within up to four business days. That review happens during the listing process.

Does the marketplace include governance controls?

Yes. Public information mentions governance through IAM and Private Marketplace. Research also notes that audit logs are available.

Who is Google Cloud AI Agent Marketplace best suited for?

Research points to enterprises that already use Google Cloud and Gemini Enterprise. It is also described as useful for IT admins and builders who need governed deployment and simpler procurement.

What Google tools are commonly connected with these agents?

Research highlights Vertex AI as a common platform for building and deploying agents. Agentspace is also listed as Google's enterprise agent platform for connecting agents across Google Workspace and Google Cloud services.

How quickly can teams get started?

Research lists an onboarding wizard and a time to first result of 5 to 15 minutes. Team signup is supported, and signup requirements are listed as email only.

Does Google Cloud AI Agent Marketplace support team or enterprise setup?

Yes. Research says team signup is available, and SSO at signup is supported. The marketplace is positioned around enterprise procurement and governance.

How does Google Cloud AI Agent Marketplace differ from a general AI agent directory?

It is tied to Google Cloud Marketplace, so it includes procurement, consolidated billing, and governance controls within Google Cloud. The agents are also described as pre-vetted and built to run on Google Cloud with Gemini Enterprise integration.