Raycast AI status: API, auth, latency & outage reports
Raycast AI is operational right now. DownForAI checks Raycast AI every ~75 minutes across 1 monitored surface, with 0 community reports in the last 24 hours.
DownForAI monitors Raycast AI via a single endpoint — Raycast Web. Current status: operational — all surfaces are responding normally. Measured uptime over the last 24 hours: 100.0%. Median response time (24 h): 206 ms; p95: 447 ms.
No productivity suite incidents have been tracked for Raycast AI since monitoring began, and no community reports were submitted in the last 24 hours. Automated checks continue on the configured schedule.
Current Status
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Uptime — last 24h
100.0%Network latency — last 20 probes
Incident history (30d)
Reported symptoms
No user reports for Raycast AI in the last 24 hours.
How we monitor
DownForAI checks monitored AI service surfaces on a rotating schedule, roughly every 75 minutes per surface, from a single centralized probe infrastructure. For services with an official machine-readable status page, we use that official status signal when available. For other services, we perform a basic public-surface check. Some services block datacenter probes; in those cases we mark them as “Monitoring limited” instead of treating a failed probe as a confirmed outage. Status is classified as Operational, Degraded, or Outage. Network latency (check response time) measures how long the monitored endpoint took to respond to our probe — it is not model inference speed, time-to-first-token, or tokens-per-second performance. We are independent of all providers listed and receive no compensation to report any particular status.
Community Discussion
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