Tabnine status: API, auth, latency & outage reports

DownForAI monitors Tabnine via a single endpoint — Tabnine Extension. Current status: operational — all surfaces are responding normally. Measured uptime over the last 24 hours: 100.0%. Median response time (24 h): 616 ms; p95: 816 ms.

No incidents have been logged for Tabnine, and no community reports were received in the last 24 hours. Probes run continuously across the configured surfaces.

Network latency — last 20 probes

Incident history (30d)

Reported symptoms

No user reports for Tabnine 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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