Now live — API health monitoring

Your API broke at 3am.
You opened twelve tabs to find out why.

Vectyr is an AI agent that doesn't just alert you — it investigates failures, diagnoses root cause, and notifies your team with the answer already found.

Zero noise. Full context. Ready before your on-call rotation starts.

vectyr — api-monitor
$ vectyr watch --all
GET /api/users 42ms 200
GET /api/orders 87ms 200
POST /api/payments 5042ms 503
Root cause identified

Stripe webhook timeout. Downstream service responding in 5s. Retry logic failing on idempotency key collision. Affected: 12 users in the last 4 minutes.

Notified team → Slack #incidents
GET /api/products 23ms 200
GET /api/inventory 61ms 200

Monitoring tells you something is broken.
It doesn't tell you where to look.

Noise, not signal

Datadog fires 47 alerts.Pagerduty escalates three times. You're in five dashboards trying to correlate logs. It's 3am.

Manual triage everywhere

Every tool shows a slice. None shows the whole picture. You spend 45 minutes hunting through traces to find what the alert should have told you at minute one.

No context on call

You join the incident and ask: "What changed?" Nobody knows. The dashboard doesn't capture history, causality, or what the failure chain actually looks like.

From alert to answer in 90 seconds.

01

Monitor everything, continuously

Connect your APIs in under two minutes. Vectyr runs lightweight health checks against every endpoint — response codes, latency distribution, payload shape, error rates — at configurable intervals, with zero overhead on your services.

02

AI investigates when it detects failure

When something goes wrong, Vectyr doesn't send a red alert and stop. It kicks into investigation mode — correlates the failure with recent deployments, traces the request chain, checks downstream dependencies, and builds a picture of what happened.

03

You get a story, not a symptom

Vectyr sends a Slack message (or webhook, PagerDuty, email) with: the root cause, the failure chain, affected users, and what to do next. Your on-call engineer reads one message and knows exactly where to start. Not five dashboards.

Everything a monitoring tool should do, and nothing it shouldn't.

Real-time health, not polling

Continuous checks against every endpoint. Response time percentiles (p50, p95, p99), error rates, payload anomaly detection. You see what your users see, live.

Automatic root cause

Vectyr traces failure chains across your services. When a payment API errors, it checks what called it, what changed in the last hour, and where the cascade started. The cause, not the symptom.

Smart alerting

Only when it matters. Vectyr learns your baseline and alerts on anomalies, not arbitrary thresholds. Suppress known flaky endpoints, route incidents to the right team automatically.

Integrates with your stack

Slack, PagerDuty, GitHub, Datadog, Sentry, and any custom webhook. Vectyr lives inside your existing workflow, not as another dashboard to check.

Live incident

The old way vs. Vectyr

Datadog alert at 3:02am

"API /payments returning 503 errors. 127 occurrences in last 5 min."

Check Datadog dashboard → 3 tabs open
Open Sentry → find related errors
Check PagerDuty → who else is paged?
Message team on Slack → no response
Check deployment history → nothing in last 2h
Dive into traces → 12 requests, 5 services
38 minutes later: found it.
Vectyr alert at 3:02am

"Stripe webhook timeout. Downstream responding in 5s. Retry logic failing on idempotency key. Notified #incidents. Next: rotate idempotency keys on the failing consumer."

Read message
Open link to affected request trace
Rotate idempotency key
Resolve in 4 minutes.

Stop triaging. Start fixing.

The market has no shortage of monitoring tools that show you what broke. Vectyr is the one that tells you why — and what to do about it before your users notice.

API health monitoring
AI root cause analysis
Smart team notifications

Built for developers who are tired of spending incidents fixing what they could have prevented.