Astrology API Uptime and SLA: What to Verify Before You Buy

An uptime badge on a pricing page is a claim. Astrology API uptime becomes something you can check when three things are published: who measures it, what each plan promises if it slips, and how much of the response time is the API rather than the network. This guide covers the checks to run on any provider and the RoxyAPI answer to each, with the clause or page it comes from.

How do you verify an API uptime claim?

Five checks separate a verifiable uptime claim from a badge, and each takes minutes.

1. An independent status page. The figure lives on a third-party monitor the provider does not host, with incident history visible.
2. A per-plan commitment. Each tier names its target and, where it is a contractual SLA, the remedy when the target is missed.
3. A stated window. A percentage without a measurement period cannot be compared with anything.
4. Server time apart from network time. A latency figure measured from one office mixes the API with the route from that office.
5. A reproducible measurement. You can time the same call yourself, from where your servers run.

RoxyAPI answers the first through the transparency page, which links the third-party status page, and the second through the Terms of Service and pricing. The sections below cover the rest.

What uptime does RoxyAPI commit to on each plan?

Every plan targets 99.95% uptime, with the live figure on the independent status page (Terms section 4). Professional and Business add a contractual 99.9% uptime SLA, and Enterprise a 99.95% SLA with service credits.

A 99.9% SLA allows about 43 minutes of downtime in a 30-day month, and 99.95% about 22 minutes. Every plan carries every domain on the same infrastructure, so the commitment covers every endpoint, not a subset.

Choosing a tier for production? The Astrology API and every other domain run on one key, and pricing compares the plans.

How fast is the API, and where does the time go?

Time inside the RoxyAPI service over the 30 days to 2026-10-23, measured from the moment a request reaches the API to the moment the response leaves it, results served from cache included:

Server errors were 0.002% of requests in the same window. The tail is the long-range work: monthly and yearly horoscopes and forecast timelines scan months of planetary events in one call, while the median request returns in 3 ms.

What your users wait for is mostly everything outside that window: DNS, the TLS handshake, and the round trip between your server and the API, which is hosted in Germany. Two choices move that number more than any provider can:

• Call from your server, close to the API. A backend in Europe sees a shorter round trip than a browser on another continent.
• Cache deterministic results. A natal chart never changes for the same inputs, so store it once and serve it from your own database. The caching guide shows the pattern.

How do you measure API latency yourself?

Time a real call from where your production servers run, and split the result into its parts. curl reports each phase:

curl -s -o /dev/null \
  -w "connect %{time_connect}s  tls %{time_appconnect}s  first byte %{time_starttransfer}s  total %{time_total}s\n" \
  "https://roxyapi.com/api/v2/astrology/horoscope/leo/daily" \
  -H "X-API-Key: YOUR_KEY"

time_starttransfer minus time_appconnect is one network round trip plus the time inside the API. Run it in a loop of a few hundred calls with varied inputs, sort the results, and read the 50th, 95th and 99th percentiles rather than the average. The daily horoscope endpoint is a good first target, and the API reference runs live calls in the browser with no key.

What should your app do during an outage?

Retry with backoff on network errors and 5xx responses, and serve stored results while the API is unavailable. Calculations are stateless and deterministic, so a retried request returns the same result and never creates a duplicate. Charts and readings you already retrieved stay licensed to you (Terms section 5.2), which makes a local cache a fallback as well as a cost saving.

Watch the status page for incident history, and add a health check of your own: an HTTP monitor calling one endpoint on a schedule and alerting on any non-2xx response. Monitor calls to data endpoints count as requests, so space them minutes apart.

FAQ

What uptime SLA does RoxyAPI offer?

Every plan targets 99.95% uptime with the live figure on an independent third-party status page. Professional and Business plans carry a 99.9% uptime SLA, and Enterprise carries a 99.95% SLA with service credits. Compensation for a prolonged outage is available on every plan under the refund policy.

Where can I see RoxyAPI uptime history?

On the independent third-party status page linked from the transparency page and the site footer. It shows measured availability and incident history, and it read 100.000% on 2026-10-23.

How fast is the RoxyAPI astrology API?

Over the 30 days to 2026-10-23, time inside the API was 3 ms at the median, 61 ms at p95 and 285 ms at p99, results served from cache included. Total response time for your users depends mostly on the network between your server and the API, so measure it from where your servers run.

Does the SLA cover every domain and endpoint?

Yes. Every plan includes every domain on the same infrastructure, and the uptime commitment on each plan applies to every endpoint in the API.

Should my app retry failed astrology API calls?

Yes, with exponential backoff on network errors and 5xx responses. Calculations are deterministic and stateless, so a retry returns the same result and is always safe to repeat.

Conclusion

Uptime is worth comparing only when an independent monitor measures it, each plan names its commitment, and latency is split into server and network time. RoxyAPI publishes all three: the status page, the per-plan SLA, and the server time inside the API. Check the transparency page and compare plans on pricing.