If you maintain a public API, “is it down or is it just me” is a question your users are going to ask eventually — through support tickets, confused tweets, or silently giving up and trying again later. A status page answers that question before it’s asked, but for an API specifically, it needs to communicate differently than a status page for a consumer-facing app.
This covers what a developer-facing API status page needs, and why it’s worth treating as distinct from a general product status page.
Why API status pages are a different problem
Your API’s users aren’t checking a status page out of general curiosity — they’re debugging. Something in their integration just failed, and they’re trying to figure out whether the problem is on your end or theirs before they spend an hour looking through their own code. That means the page needs to answer a more specific question than “is the product up” — it needs to say which endpoints or services are affected, since a developer integrating with one part of your API doesn’t care that an unrelated service is degraded.
It also needs to be checkable programmatically, not just visually — a developer debugging at 2am wants to curl an endpoint or check a machine-readable status, not read prose.
What it actually needs to show
- Per-service or per-endpoint status, not just one overall indicator, if your API has meaningfully separate components.
- Response time or latency context, if relevant — “degraded” often means slow, not fully down, and that distinction matters to someone debugging timeouts.
- A timestamped incident log, same as any status page — what’s happening, when it started, when it’s resolved.
- A way to check programmatically, even something as simple as a consistent status word in the page’s HTML a script can grep for.
Why this doesn’t need to live inside your API’s own infrastructure
The same principle that applies to any status page applies doubly here: if your API is down, a status page hosted on the same infrastructure goes down with it, right when developers most need to check it. Carrd works well for this because it’s completely decoupled — a page you can update from your phone during an incident, independent of whatever’s actually broken in your stack.
Writing updates for a technical audience
Be specific about scope
“Some users may experience errors” is vague enough to be nearly useless. “The /webhooks endpoint is returning 500s for requests over 1MB” tells a developer immediately whether this is their problem or not, and lets them stop debugging their own code the moment they read it.
Include error codes when you know them
If the incident is producing specific HTTP status codes or error messages, stating them directly means someone can match what they’re seeing in their own logs against your update with confidence, instead of guessing whether it’s related.
Don’t over-explain the cause mid-incident
During an active incident, developers want to know impact and ETA, not a detailed root-cause narrative — that belongs in a postmortem afterward, if you choose to write one, not in a live update while you’re still fixing it.
Linking it from where developers actually look
An API status page only works if it’s discoverable at the moment someone needs it — link it from your API documentation, your error responses if feasible, and any developer-facing dashboard. A well-built status page that no integrating developer knows exists doesn’t reduce a single support ticket.
Handling status during a partial outage
The trickiest case is when your API is mostly working but one specific thing isn’t — a webhook delivery delay, one region degraded, a rate-limiting bug affecting a subset of accounts. Resist the binary “up or down” framing in these cases; a status like “degraded — webhook deliveries delayed by up to 10 minutes, all other endpoints normal” is far more useful to a developer than a generic “partial outage” label that leaves them guessing whether their specific integration is affected.
What to skip early on
Skip building automated status detection tied to real monitoring before you actually need it — for most APIs at a small scale, manually updating the page during a real incident is completely sufficient, and building automated uptime checks first is solving a problem you may not have yet. Add that once manual updates become the actual bottleneck, not before.
Quick checklist
- Break status down by service or endpoint if your API has distinct components.
- Be specific in updates — exact endpoints and error codes, not vague language.
- Keep the page decoupled from your own infrastructure so it stays up during an outage.
- Link it from your docs and error responses so developers can actually find it.
- Start with manual updates — automate detection later, once it’s the real bottleneck.
A good API status page saves your support inbox and your users’ debugging time in equal measure. It’s a small page that punches well above its size.
Tested firsthand
