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Obsevo

Features

What is actually in it.

Everything on this page is built and shipping today. Where something is partial or has a caveat, it is written next to the thing rather than left out.

Detection

Ten detectors, with published thresholds

None of these is gated by plan. They run on the free tier exactly as they run on Agency.

Missed runs

A scheduled workflow that should have run and did not. Derived from the cron or interval on the trigger, so it fires on the absence of an execution — the case n8n has nothing to alert on.

Green-but-broken

A run n8n marked success that produced no output. Fires as critical when a workflow with at least five successful runs that has always returned items returns none.

Failures

A run that errored, summarised with the node that failed and the error it raised.

Consecutive failures

Three failures in a row, kept separate from single failures so it can be routed to a louder channel.

Error rate

The share of runs failing over a rolling window rather than a fixed count, so a busy workflow and a quiet one are judged on the same terms.

Runtime anomalies

A successful run that took more than three standard deviations and 1.5× longer than its own history.

AI cost spikes

A run whose model spend is an outlier on all three of sigma, multiple and an absolute floor. n8n reports these runs as successful, so nothing else in the stack flags them.

SLA breaches

Error-budget arithmetic per workflow. “You have three failures left this month” is a decision; “99.2% versus 99%” is trivia.

Business thresholds

Your own KPIs, sent as events from the n8n node, alerting when a number moves outside the range you set.

Log thresholds

A burst of log volume or severity from a workflow, instance or source.

The exact numbers are in how detection works.

Collecting

Getting data out of n8n

Two connection modes, three log paths, and an optional real-time hook.

The agent

Real-time capture

Logs, three ways

Business events

Reading

Making sense of it

One timeline, faceted filtering, and the same query grammar in the UI and the API.

Unified log explorer

Runs explorer

Trace waterfall

AI cost tracking

Acting

Doing something about it

Alerting with guardrails, four control actions, and reporting for people who are not you.

Alert channels

Control actions

Status pages

Client workspaces

Integrating

Getting data back out

Read-only, keyed per workspace, with the filter syntax the UI uses.

Public API

Prometheus

OpenTelemetry export

Outbound webhooks

The fastest way to evaluate this

Connect one n8n instance on the free tier and leave it for a week. Every detector on this page runs there, so what you learn is whether anything has been failing quietly — which is the only question that matters.