AI Agent Provider Status
Daily reliability for the AI providers powering ChatGPT, Claude, Gemini, Perplexity, and the agents we review. Green is calm, yellow is degraded, red is an outage. Hover any bar for incident details.
Data as of September 4, 2026, refreshed live in your browser.
Status data aggregated from official provider status pages. Not real-time telemetry. For authoritative info, use each provider's status link on the row. AgentVet Lab benchmarks agent reliability on standardized tasks — separate from API uptime.
Why we track AI agent provider uptime
Every AI agent — whether it's a customer-support bot, a coding copilot, or an autonomous research assistant — sits on top of a small number of model and infrastructure providers. When OpenAI, Anthropic, or Google has a bad afternoon, thousands of agents quietly fail at the same time. Teams notice broken workflows long before they notice the root cause.
AgentVet's Provider Status page makes those failures visible. By aggregating 30 days of incident history across the providers our reviewed agents depend on, you can spot patterns: which platforms ship stable APIs, which ones have repeated degradations, and which weeks were rough across the whole industry. It's the reliability layer that most agent directories ignore.
Pair this page with our AgentVet rankings and deep-dive reviews to choose agents built on infrastructure that actually stays up.
Frequently asked questions
What is the AgentVet Provider Status page?+
How is provider uptime calculated?+
Which AI agent providers are tracked?+
Why does AI agent reliability matter?+
How often is the status data updated?+
Can I get notified when a provider goes down?+
Are Groq, Cerebras, and Replicate the same as OpenAI or Anthropic?+
Not exactly — they sit at different layers of the AI stack, but they all affect your agent's reliability.
Model makers (OpenAI, Anthropic, Google, Cohere, Mistral) build and train their own frontier AI models. When you call GPT-4 or Claude, you're talking directly to the company that created the model.
Inference providers (Groq, Cerebras) don't build their own frontier models — they build specialized hardware and infrastructure to run open-source models like Llama, Mixtral, and Qwen at extreme speeds. Groq's LPU chip and Cerebras's wafer-scale hardware are purpose-built for AI inference. Many AI agents choose them specifically for sub-second response times that general cloud providers can't match.
Model hosting platforms (Replicate) let developers deploy and run any open-source model via API — Stable Diffusion, Llama, Flux, and hundreds of others — without managing infrastructure. Popular for agents that need image generation or specialized models not available through the big providers.
Why it matters for your agent: If your agent is built on Groq for speed or Replicate for image generation, a Groq outage is just as disruptive as an OpenAI outage — even though Groq didn't write a single line of model weights. That's why we track all of them in one place.