Product · Root-cause agent
The first five minutes
of the incident, already done.
When an alert fires at 3am, you don't want a dashboard. You want a summary: what's different, what's slow, what's erroring, which release is implicated, and where to look next. The root-cause agent writes that summary automatically.
Serves this job
"When an alert fires at 3am, I want an immediate, automatic triage summary — what changed, what's slow, what's erroring, which release is implicated." (JTBD 3) · "When an endpoint is slow, I want a trace-derived dependency view telling me whether the cause is local, downstream-internal, or third-party." (JTBD 9)
Opinionated answers, not another dashboard.
The agent reads the alert, the relevant spans, and the change timeline — then tells you what it thinks happened, with citations you can drill into.
A triage summary on every alert
Every alert arrives with a plain-English summary: which endpoint is degraded, since when, which release pushed to that service most recently, what percentage of requests are affected.
Release-implicated, not release-shamed
If a release correlates with the anomaly, we say so and link the release notes. If no release is implicated (load spike, downstream provider outage), we say that too.
Blast-radius classification
Each anomaly is classified local / downstream-internal / third-party from the trace topology. You start triage knowing whether to look at your code or your vendor.
Rollback recommendation, human in the loop
If a bad release looks likely, the agent surfaces a prominent rollback suggestion with a deep-link to Vercel's rollback dialog. You approve the click; Greenslope never rolls back on its own.
Last-N incidents on this endpoint
The agent shows the last N incidents on the same endpoint, what was done, and any linked postmortems — so a recurring issue stops being surprising.
Learns from your responses
When you ack, snooze, or dismiss-as-noise, Greenslope tunes thresholds for next time. The alert you ignore today won't wake you up tomorrow.
Where inference runs, and what we don't do with your data.
What ships today
- Inference runs on Gemini via Vertex AI in the EU region (europe-west4).
- Customer prompt and response data is not used for model training — by us or by Google.
- Every agent output cites the spans and change events it used, so you can verify.
- AI features are gated by per-tier invocation caps: 40/month on Solo, 150/month on Starter. Exceeding the cap pauses AI features for the rest of the cycle; everything else keeps working.
- EU residency is preserved across the AI pipeline.
Out of scope (or V2+)
- Autonomous remediation — the agent suggests, you confirm.
- Code review or PR-level change analysis — this isn't Copilot or CodeRabbit.
- Training customer-specific models on your data.
- Running AI inference in the US region at V1.
- Customer-held encryption keys for the inference pipeline — available V2+ Enterprise.
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