DownForAI

Activepieces status: API, auth, latency & outage reports

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

Operational
Last probe 3h ago·1 surface
Probe-monitoredLow confidence
📚 Docs →💳 Pricing →
100.0%
24h Uptime
107ms
p50 Network Latency
415ms
p95 Network Latency
0
Incidents (30d)

DownForAI monitors Activepieces via a single endpoint — Activepieces Web. Current status: operational — all surfaces are responding normally. Measured uptime over the last 24 hours: 100.0%. Median response time (24 h): 107 ms; p95: 415 ms.

DownForAI has not recorded any Activepieces agent runtime disruptions. The service is probed approximately every 75 minutes; no user reports have been received in the last 24 hours.

Data confidence: LowLast checked 3h 25m ago · 1 monitored surface · 1 with 24 h latency data

Current Status

Operational
Everything works normally
Checked by our probes · 94ms
Verified 3h ago
No major incident reported
No reports in the last 24h

Having issues?

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

0reports in the last 24 hours

Surface Health

Activepieces WebOperational
HTTP 200p50 107ms3h ago

Uptime — last 24h

100.0%

Network latency — last 20 probes

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What DownForAI can verify about Activepieces

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

Known error signatures

Common failure patterns and how to diagnose them

Provider details

Activepieces is an open-source automation platform (an n8n/Zapier alternative) with AI steps, available as Activepieces Cloud or self-hosted. Cloud users depend on the hosted runners and webhook ingress; self-hosters only on their own deployment and connected services.

What we monitor
Activepieces CloudHosted flows and runners
Webhook triggersIncoming events
Self-hosted instancesUser-run deployments
Ecosystem dependencies
Every connected service used by flows

Fallback alternatives

What to use if this service is down

Activepieces Cloud is down
n8n, Make (ex-Integromat) or Zapier AI (monitored on DownForAI) run equivalent automations; self-hosting Activepieces avoids the cloud dependency
Major migration

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.

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