Claude API Status: How to Check It and Handle Outages

When someone searches "claude api status," they're usually trying to answer one of two questions: is Claude down right now, and is it my code or Anthropic's infrastructure? or how do I monitor Claude API status so I find out before my users do? Both are answered the same way — you need to know where to look, what the status categories mean, and how to build your integration so a status incident doesn't take your whole app down with it.

The short answer: Anthropic publishes a public status page at status.anthropic.com. That's the authoritative source for Claude API uptime, incident history, and scheduled maintenance. Everything else — third-party trackers, Reddit threads, Twitter/X complaints — is secondary and often delayed or inaccurate. This article covers how to read that page correctly, how to monitor it programmatically, and how to design your integration so status incidents cause degraded behavior instead of a full outage.

Where to check Claude API status

Anthropic's status page breaks availability into components, typically including the API, the Console, and Claude.ai. Each component shows one of a few states:

• Operational — no known issues
• Degraded performance — requests succeed but are slower or less reliable than normal
• Partial outage — some requests fail, often model- or region-specific
• Major outage — the API is largely unavailable

The page also keeps an incident history with timestamps, so you can check whether a spike in your own error rate lines up with a reported incident or whether the problem is on your side (bad request formatting, expired key, network issue, rate limiting).

Before opening a support ticket or panicking about your own code, always cross-reference against this page first — it saves time in both directions.

How to monitor it programmatically

If you're running Claude in production, don't rely on someone remembering to check a webpage. A few practical options:

1. Poll the status page's API. Most status page providers (including the one Anthropic uses) expose a machine-readable summary endpoint, typically JSON, that you can poll on a schedule (every 1–5 minutes) and alert on state changes.

2. Subscribe to status page notifications. Status pages usually support email or webhook subscriptions for incident updates — set this up for whoever owns the on-call rotation.

3. Monitor your own error rates as a leading indicator. Anthropic's status page reflects Anthropic's view of the system, which can lag your own experience by a few minutes. Track your application's error codes (particularly 429, 500, 502, 503, 529) and alert when the rate crosses a threshold, independent of what the status page says.

A simple version of #3 in Node:

let errorWindow = [];

function recordResult(ok) {
  const now = Date.now();
  errorWindow.push({ ok, now });
  errorWindow = errorWindow.filter(e => now - e.now < 5 * 60 * 1000);

  const total = errorWindow.length;
  const errors = errorWindow.filter(e => !e.ok).length;
  if (total > 20 && errors / total > 0.2) {
    notifyOnCall(`Error rate ${(errors / total * 100).toFixed(0)}% over last 5 min`);
  }
}

This catches degraded performance before it's officially reported, which matters because status pages are usually confirmed by humans and can trail real incidents by several minutes.

Common failure modes and what they mean

Not every error is an "outage." Distinguishing between them saves you from over-reacting or under-reacting:

• 429 Too Many Requests — you've hit a rate or usage limit. This is account-specific, not a platform-wide status issue.
• 529 Overloaded — the API is temporarily over capacity. This often does correlate with a status page incident, but not always — short spikes can resolve in seconds.
• 500 / 502 / 503 — server-side errors, worth checking against the status page if they're sustained for more than a minute or two.
• Elevated latency with 200 responses — usually shows up as "degraded performance" on the status page before it becomes outright errors.

For any of these, the correct first response is exponential backoff with jitter, not an immediate retry storm:

async function callWithBackoff(fn, maxRetries = 5) {
  for (let attempt = 0; attempt < maxRetries; attempt++) {
    try {
      return await fn();
    } catch (err) {
      const retryable = [429, 500, 502, 503, 529].includes(err.status);
      if (!retryable || attempt === maxRetries - 1) throw err;
      const delay = Math.min(1000 * 2 ** attempt, 15000) + Math.random() * 500;
      await new Promise(r => setTimeout(r, delay));
    }
  }
}

Reducing your exposure to status incidents

A few architectural choices reduce how much a Claude API incident actually hurts your users:

• Cache aggressively where correctness allows it. If a response doesn't need to be fresh, serving a cached answer during an incident beats a hard failure.
• Set sane timeouts. A degraded API can hang connections instead of failing fast — a client-side timeout keeps your app responsive even when Anthropic is slow rather than fully down.
• Separate your API key management from your application logic. If you're calling Claude directly from many services, a platform-wide incident means updating retry/backoff logic in every one of them. Centralizing access — for example, routing through SubToAPI with application-specific sub_live_... keys — means you handle retry and monitoring logic in one place instead of duplicating it across every service that talks to Claude. It doesn't change Anthropic's uptime, but it does mean your resilience logic, usage metadata, and key rotation live in one dashboard instead of scattered across codebases. See the quickstart and streaming docs for how requests and responses are structured.
• Have a fallback UX, not just a fallback model. Even a clear "AI features are temporarily degraded, try again shortly" message is better than a generic 500 page.

Checklist for production readiness

• Bookmark status.anthropic.com and subscribe to incident notifications
• Poll or subscribe programmatically instead of relying on manual checks
• Track your own error rate as a leading indicator, independent of the status page
• Implement exponential backoff with jitter for retryable errors
• Set client-side timeouts so a slow API doesn't hang your app
• Centralize key management and retry logic so incident response isn't duplicated across services — see pricing if you're evaluating that kind of layer

questions

Where do I check Claude API status right now? Go to status.anthropic.com. It shows current state for the API, Console, and Claude.ai separately, plus incident history with timestamps you can cross-reference against your own logs.

Is a 529 error the same as an outage? Not necessarily. 529 Overloaded means the API is at capacity for a moment — it often resolves within seconds with a retry and backoff, and doesn't always correspond to a listed status page incident.

How do I get notified automatically instead of checking manually? Subscribe to the status page's email or webhook notifications, and separately monitor your own error rates — your application's error spikes are often a faster signal than the official status page update.