DownForAI

Evidently AI status: API, auth, latency & outage reports

Evidently AI is operational right now. DownForAI checks Evidently AI every ~75 minutes across 1 monitored surface, with 0 community reports in the last 24 hours.

Operational
Last probe 1h ago·1 surface
Probe-monitoredLow confidence
📚 Docs →
100.0%
24h Uptime
148ms
p50 Network Latency
278ms
p95 Network Latency
0
Incidents (30d)

DownForAI monitors Evidently AI via a single endpoint — Evidently AI Web. Current status: operational — all surfaces are responding normally. Measured uptime over the last 24 hours: 100.0%. Median response time (24 h): 148 ms; p95: 278 ms.

DownForAI has not recorded any Evidently AI ML pipeline disruptions. The service is probed approximately every 75 minutes; no user reports have been received in the last 24 hours.

Data confidence: LowLast checked 1h 12m ago · 1 monitored surface · 1 with 24 h latency data

Current Status

Operational
Everything works normally
Checked by our probes · 96ms
Verified 1h ago
No major incident reported
No reports in the last 24h

Having issues?

Help other users by reporting if Evidently AI is not working for you.

0reports in the last 24 hours

Surface Health

Evidently AI WebOperational
HTTP 200p50 148ms1h ago

Uptime — last 24h

100.0%

Network latency — last 20 probes

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What DownForAI can verify about Evidently AI

No confirmed provider-side issue detected
DownForAI currently sees Evidently AI as operational based on available monitoring signals.
Signal source: public surface check · Monitoring confidence: Low
Still having trouble?

The issue may be account-specific, regional, network-related, or related to authentication, billing, quota, or rate limits.

Incident history (30d)

No incidents recorded in the past 30 days.

Reported symptoms

No user reports for Evidently AI in the last 24 hours.

Known error signatures

Common failure patterns and how to diagnose them

Provider details

Evidently is an open-source library for ML and LLM evaluation and monitoring, plus Evidently Cloud for hosted dashboards and alerts. Library users depend only on their environment; cloud users on Evidently's ingestion and UI.

What we monitor
Evidently CloudHosted dashboards
Open-source libraryLocal reports
Ecosystem dependencies
Model providers for LLM judges

Fallback alternatives

What to use if this service is down

Evidently Cloud is down
WhyLabs or Arize AI (monitored on DownForAI) offer hosted monitoring; the library keeps working locally
Easy switch

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.

Evidently AI statusEmbed this status badgeREADME · docs ▾
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