DownForAI

NannyML status: API, auth, latency & outage reports

NannyML is operational right now. DownForAI checks NannyML 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
363ms
p50 Network Latency
635ms
p95 Network Latency
0
Incidents (30d)

DownForAI monitors NannyML via a single endpoint — NannyML Web. Current status: operational — all surfaces are responding normally. Measured uptime over the last 24 hours: 100.0%. Median response time (24 h): 363 ms; p95: 635 ms.

DownForAI has not recorded any NannyML 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 37m ago · 1 monitored surface · 1 with 24 h latency data

Current Status

Operational
Everything works normally
Checked by our probes · 271ms
Verified 1h ago
No major incident reported
No reports in the last 24h

Having issues?

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

0reports in the last 24 hours

Surface Health

NannyML WebOperational
HTTP 200p50 363ms1h ago

Uptime — last 24h

100.0%

Network latency — last 20 probes

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What DownForAI can verify about NannyML

No confirmed provider-side issue detected
DownForAI currently sees NannyML 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 NannyML in the last 24 hours.

Known error signatures

Common failure patterns and how to diagnose them

Provider details

NannyML is an open-source library for estimating model performance without labels and detecting drift, plus NannyML Cloud for hosted monitoring. Library users have no hosted dependency; cloud users depend on NannyML's ingestion and UI.

Community channels
What we monitor
NannyML CloudHosted monitoring
Open-source libraryLocal analysis

Fallback alternatives

What to use if this service is down

NannyML Cloud is down
Evidently AI or WhyLabs (monitored on DownForAI) offer hosted monitoring; the library keeps working
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.

NannyML statusEmbed this status badgeREADME · docs ▾
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