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- The Google Cloud and Fetch.ai partnership supports a shared vision for open, interoperable, agent-based AI systems.
- Agentverse currently supports A2A agent onboarding from Google Cloud, integrates AP2 payment flows, and will soon offer Google’s advanced AI models.
Decentralized AI platform Fetch.ai on December 8th announced a collaboration with Google Cloud Platform as part of its plan to move from a single model AI interface to an interconnected ecosystem of intelligent agents. The company said this integration expands the Agentverse platform and makes multi-agent development accessible to a broader developer base. Both organizations reiterated their shared vision for an open, interoperable, agent-based AI future.
Fetch.ai onboards A2A agents through Google Cloud
Fetch.ai has confirmed that Agentverse supports onboarding A2A agents from the Google Cloud ecosystem. Once registered, these agents can expose functionality, operate on typed protocols, and interoperate with Fetch.ai’s uAgent. Developers can use defined roles and verified identities to orchestrate mixed agent workflows.
The platform’s payment protocols have also been upgraded to include AP2 flows. This system allows agents to request funds, verify receipts, and perform tasks within a single protocol cycle. Fetch.ai says the enhancements will enable applications such as pay-as-you-go APIs, auctions, paywall access, and conditional service delivery.
Fetch.ai added that developers will soon be able to use Google’s latest AI models as agent capabilities within Agentverse. Supported models include Gemini 3 for advanced inference, Nano Banana Pro for real-time visual understanding, and Veo 3.1 for video generation.
All models operate through typed interfaces, allowing safe configuration within a multi-agent environment. Commenting on the development, Humayun Sheikh, Founder and CEO of Fetch.ai said:
“Our goal is to bring the open agent ecosystem to life. With A2A agents running within Agentverse and AP2 supported at the payment layer, builders can combine capabilities, establish value, and ship production systems faster.”
Promoting an open multi-agent AI ecosystem
According to Fetch.ai, Agentverse provides several key components needed for a scalable multi-agent architecture: identity, discovery, typed protocols, and reliable message delivery. A2A onboarding and AP2 payments allow teams to integrate agents from both ecosystems, maintain auditable workflows, and accelerate the path from prototype to production.
The company said the collaboration with Google Cloud is an important milestone as the AI field moves to a dynamic, interoperable network of agents running on the open web. Fetch.ai highlighted its commitment to supporting this transition and enabling developers to build the next generation of agent-driven applications.
The Fetch.ai platform has expanded its AI capabilities since the beginning of this year by introducing tools such as DeltaV, AgentVerse, and AI Engine. These enhancements work to improve user interaction and streamline navigation across the market.
