DownForAI

Activeloop status: API, auth, latency & outage reports

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

Operational
Last probe 34 min ago·1 surface
Probe-monitoredLow confidence
📚 Docs →
100.0%
24h Uptime
151ms
p50 Network Latency
316ms
p95 Network Latency
0
Incidents (30d)

DownForAI monitors Activeloop via a single endpoint — Activeloop Web. Current status: operational — all surfaces are responding normally. Measured uptime over the last 24 hours: 100.0%. Median response time (24 h): 151 ms; p95: 316 ms.

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

Data confidence: LowLast checked 34 min ago · 1 monitored surface · 1 with 24 h latency data

Current Status

Operational
Everything works normally
Checked by our probes · 158ms
Verified 34m ago
No major incident reported
No reports in the last 24h

Having issues?

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

0reports in the last 24 hours

Surface Health

Activeloop WebOperational
HTTP 200p50 151ms34m ago

Uptime — last 24h

100.0%

Network latency — last 20 probes

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What DownForAI can verify about Activeloop

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

Known error signatures

Common failure patterns and how to diagnose them

Provider details

Activeloop is the company behind Deep Lake, a database for AI data (tensors, embeddings, documents) with a managed cloud and an open-source core. Cloud users depend on Activeloop's storage and query services; open-source users on their own storage.

What we monitor
Activeloop cloud (app.activeloop.ai)Managed datasets and queries
Open-source Deep LakeSelf-managed storage
Operator notes
  • Deep Lake is also tracked as its own entry on DownForAI.

Fallback alternatives

What to use if this service is down

Activeloop cloud is down
LanceDB or Chroma (monitored on DownForAI) store embeddings locally or in the cloud
Moderate effort

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.

Activeloop statusEmbed this status badgeREADME · docs ▾
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