Articles about "APIs"

Google Pay has introduced the Universal Commerce Protocol and a new server architecture to support transactions initiated by AI agents. The updates aim to standardize machine-to-machine commerce and enhance security through new authentication methods. These changes position Google Pay as a central hub for purchases driven by autonomous systems.

Notion has launched a developer platform enabling users to create custom AI workflows and agents that integrate with external databases and tools. The new platform introduces 'Workers', a feature for running custom code and connecting with external APIs, enhancing Notion's capabilities beyond note-taking. This move positions Notion as a hub for workflow automation in business environments.

Meta has announced a one-month window during which rival AI companies can access WhatsApp, indicating a move toward increased platform openness. The initiative could provide opportunities for AI developers to test and compare chatbot integrations. The development underlines the growing competition and scrutiny of closed AI ecosystems.

This article explains the differences between APIs and Model Context Protocols (MCPs), highlighting their roles in AI-enabled systems. It also details the function of gateways in managing access and security for these integrations. The guide provides clarity for developers and businesses implementing AI solutions.

Anthropic has launched Claude Managed Agents, a cloud-based service aimed at expediting the deployment of operational AI agents. The platform automates much of the configuration and management required for agent-based automation, enabling faster development cycles for enterprises and developers.

Google has unveiled a command-line interface (CLI) tool designed for its Workspace cloud products, enabling users to integrate AI platforms like OpenClaw directly with Workspace data. The tool packages existing Workspace APIs, but is offered as an experimental, unsupported project. Early users can connect services such as Gmail, Drive, and Calendar to AI agents, however, they are warned about the lack of official support and potential risks.

A new Salesforce report highlights that while AI agents are widely adopted in enterprises, integration challenges and disconnected systems are limiting their effectiveness. The study reveals only a small fraction of enterprise applications are truly connected, with silos and governance issues impeding potential productivity gains. Addressing these challenges through unified, API-driven strategies is seen as essential for operationalizing agentic AI at scale.

A guide highlights five accessible APIs in artificial intelligence for those new to programming. The featured APIs include tools for chatbots, image generation, and speech synthesis, making it easier for beginners to experiment with AI technology. The article provides practical entry points for individuals exploring AI-driven development.