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Vercel

Vercel Schedules is now in public beta

Vercel Schedules is now available in public beta across all plans, enabling users to run tasks on a recurring basis or at a specific time in production, preview, or custom environments. It supports targeting private Vercel Functions, HTTP paths, or Queue topics, with schedules definable in vercel.json or created at runtime. Static schedules use cron expressions and require an experimental trigger to make functions private, while runtime schedules dispatch to Queue topics. Schedules replace Cron Jobs, with billing starting at $5 per 1M runs and $10 per 1M creations on Pro and Enterprise plans, and Hobby plan includes 500 schedule creations and 5,000 runs monthly.

Vercel

Kimi K3.1 Pro now has more ZDR providers on AI Gateway

Kimi K3.1 Pro and its high-speed variant are now accessible through additional Zero Data Retention (ZDR) providers on Vercel's AI Gateway, expanding beyond Moonshot AI. The models feature a 1M-token context window, image input support, and enhanced capabilities in coding, 3D modeling, and financial analysis. Highspeed is optimized for low-latency interactive tasks like coding agents. Users can invoke the models via AI SDK, Chat Completions, Responses, Anthropic Messages APIs, or integrated coding agents. Enabling ZDR in gateway settings ensures requests only route to ZDR-compliant providers. Setup for tools like Claude Code, Codex, and Cursor requires the latest Vercel CLI. AI Gateway offers unified API access, usage tracking, cost management, routing rules, and built-in reporting, reflecting provider pricing without markup and supporting Bring Your Own Key.

Vercel

Introducing Vercel Schedules

Vercel Schedules enables applications and agents to create, modify, or cancel one-time and recurring tasks dynamically through code without redeployment. It supports both static schedules defined in configuration files and dynamic schedules managed via SDK, CLI, or API during runtime. The service integrates with Vercel Queues to trigger tasks at specified times, allowing apps to handle work like data cleanup or AI-driven summaries securely and efficiently. Users can test schedules in preview environments before production, and the feature is now available in Public Beta.

Vercel

How Mercor ships internal apps and billions of production tokens on one platform

Mercor reduced batch job processing time from 12 hours to 2–3 hours by using Vercel AI Gateway, which provided increased inference capacity and failover routing across providers. In its first 10 days on the platform, Mercor routed 18 million requests and 63 billion tokens without hitting rate limits. The company also leveraged Vercel Passport and its internal Audiences product to provision secure access for hundreds of business teams and over 2,000 projects in seconds, enabling rapid deployment of client-specific applications while maintaining strict usage controls and automated offboarding.