Why Is Anthropic Claude Down? How to Check & Fix It

When Claude stops responding, returns errors, or hangs mid-request, the first question is almost always the same: is this on my end, or is Claude down? The short answer is that "down" rarely means the entire service is offline — it's more often a partial degradation affecting specific models, regions, or request types (like long context windows or high concurrency). This article walks through how to confirm what's actually happening and what to do about it.

First, Check If It's Actually an Outage

Before assuming Claude is down, rule out the obvious local causes:

• Your API key or session — expired tokens, exceeded rate limits, or billing issues on your account all produce error responses that look like outages but aren't.
• Your network — corporate proxies, VPNs, or firewall rules sometimes block or throttle requests to Anthropic's endpoints.
• Your request payload — malformed JSON, oversized context, or unsupported parameters return 4xx errors, not downtime.

If none of those apply and you're seeing consistent 5xx errors, timeouts, or the web app refusing to load, it's worth checking whether the issue is widespread.

Where to Check Claude's Status

Anthropic publishes an official status page that tracks uptime for the API, the Claude web app, and Claude Code. This is the most reliable source — it reports real-time incidents, degraded performance windows, and post-incident summaries. Bookmark it if you build anything on top of Claude, because it's faster and more accurate than searching social media for anecdotal reports.

Beyond the official page, a few signals are useful for cross-checking:

• Developer communities — forums and chat channels where other builders report the same symptoms in real time.
• Third-party outage trackers — aggregate user reports, though these can lag or include false positives from unrelated local issues.
• Your own error logs — if you're hitting the API programmatically, log status codes and timestamps. A spike in 529 (overloaded) or 500 errors across multiple unrelated requests is a strong signal of a real outage rather than a one-off failure.

Common Reasons Claude Goes Down or Slows Down

A few patterns show up repeatedly in outage reports:

1. Capacity overload — during periods of high demand, especially after new model releases, request queues back up and latency spikes. This usually shows up as slow responses rather than hard failures.
2. Regional infrastructure issues — cloud provider incidents (AWS, GCP) that Anthropic's infrastructure depends on can cause partial outages in specific regions.
3. Model-specific issues — sometimes only one model version is affected while others respond normally. If you're hardcoded to a single model, switching temporarily can help.
4. Scheduled maintenance — less common, but planned maintenance windows are usually announced in advance on the status page.
5. Rate limiting at scale — if your application scales up traffic quickly, you can trigger throttling that feels like an outage but is actually your own usage pattern hitting account-level limits.

What to Do While You Wait

If Claude is genuinely down, there isn't much you can do except wait — but you can reduce the impact on your users:

• Implement retries with exponential backoff. Transient errors often resolve within seconds; a naive retry loop without backoff can make things worse by adding load.
• Set sane timeouts. Don't let a single hung request block your entire application; fail fast and surface a clear error to the user.
• Show status to users. A simple banner ("AI responses may be delayed") is better than a silent hang.
• Have a fallback path. For non-critical features, consider queuing the request for later or degrading gracefully instead of blocking the whole flow.

async function callClaudeWithRetry(payload, maxRetries = 3) {
  for (let attempt = 0; attempt < maxRetries; attempt++) {
    try {
      const res = await fetch("https://api.anthropic.com/v1/messages", {
        method: "POST",
        headers: { "content-type": "application/json" },
        body: JSON.stringify(payload),
      });
      if (res.ok) return res.json();
      if (res.status < 500) throw new Error(`Client error: ${res.status}`);
    } catch (err) {
      if (attempt === maxRetries - 1) throw err;
      await new Promise((r) => setTimeout(r, 2 ** attempt * 500));
    }
  }
}

Reducing Your Exposure to Downtime

If your product depends on Claude being reachable, the underlying risk isn't just "Claude might go down" — it's that a single API integration point becomes a single point of failure for your whole application. A few practical mitigations:

• Centralize your API access. If every part of your codebase calls the model provider directly with its own key and error handling, an outage means fixing the same retry logic in a dozen places. Routing everything through one internal API layer makes it easier to add circuit breakers, fallbacks, and monitoring in one spot.
• Track usage and errors centrally. Knowing which requests failed, when, and why makes it much faster to distinguish "Claude is down" from "our own rate limits kicked in."
• Separate team access from infrastructure. If multiple people or services share one raw API key, an outage or a leaked key affects everyone at once. Scoped, revocable keys per application limit the blast radius.

This is part of what SubToAPI is built for: it turns your Claude access into a standard HTTPS API with its own application keys (sub_live_...), request logging, and usage metadata, so you have one place to see what's actually happening when something fails — rather than debugging blind across scattered integrations. It doesn't control Anthropic's uptime, but it does give you consistent error handling, streaming, and tool use through one interface instead of several ad hoc ones. See the quickstart or pricing if you want to consolidate how your team accesses Claude.

FAQ

How do I know if Claude is down for everyone or just me?

Check Anthropic's official status page first — it's the authoritative source for widespread incidents. If it shows no issues but you're still failing, the problem is almost certainly local: your API key, network, or request payload.

What error codes indicate an outage versus a client-side problem?

5xx errors (500, 502, 503, 529) generally indicate server-side issues, including overload. 4xx errors (400, 401, 429) almost always mean something on your end — bad requests, auth failures, or rate limits.

Can I reduce downtime impact without waiting for Anthropic to fix it?

Yes — implement retries with exponential backoff, set request timeouts, and show clear status to users. Routing requests through a centralized API layer (see /docs/messages and /docs/streaming) also makes it easier to add fallback logic in one place instead of across your whole codebase.