Features
Everything your integrations need to stay healthy
Apixor is built for engineering teams who depend on third-party APIs for revenue-critical workflows. Every feature is designed to surface signal, reduce noise, and help you move fast when something breaks.
Connector-based setup
Connect Stripe, Salesforce, HubSpot, and more via OAuth in under 5 minutes. No SDK to install, no code to change, no agents to deploy in your infrastructure. Apixor operates externally — you grant read access, we handle the rest.
- OAuth 2.0 authorization flow — one click
- Webhook relay for push-based integrations
- Instant endpoint discovery from your integration
- Monitor goes live the moment you connect
Statistical anomaly detection
Uptime pings tell you when something is completely down. Apixor tells you when it's starting to degrade — before the full outage hits. We build a per-endpoint statistical baseline using your real traffic and fire alerts the moment z-score deviation crosses your threshold.
- p50 / p95 latency baselines per endpoint
- Z-score anomaly scoring on every sample
- Configurable sensitivity thresholds
- Separate baselines for time-of-day / day-of-week patterns
Revenue impact mapping
Not all endpoint failures are equal. Apixor lets you tag endpoints with the business process they support, then uses your plan's MRR data to surface an estimated revenue-at-risk figure in every alert. Your on-call engineer knows immediately what's on the line.
- Tag endpoints to revenue-bearing workflows
- Revenue-at-risk estimate in every alert
- Priority scoring based on impact × severity
- Historical revenue exposure per connector
Automatic incident timeline
When an anomaly escalates to an incident, Apixor automatically tracks started_at, resolved_at, and computes MTTR. Every state change is logged with a timestamp and the triggering metric. No manual incident management required.
- Automatic started_at / resolved_at detection
- MTTR calculated per connector and endpoint
- Full audit log of every severity evaluation
- Exportable incident history for post-mortems
Deployment gate API
Don't deploy when your payment processor is already degraded. Apixor exposes a simple REST endpoint you can call from any CI/CD pipeline — it returns a pass/fail based on the current health of all connected integrations.
- POST /v1/deployment-gates/check
- Returns connector health summary + block reason
- Configurable grace period and severity threshold
- Works with GitHub Actions, GitLab CI, CircleCI, etc.
SLA policy engine
Define severity rules per connector and endpoint, then let Apixor enforce them automatically. Every evaluation is logged with the input metrics, the rule applied, and the resulting severity — giving you a clean audit trail for compliance and retrospectives.
- Per-connector severity rules (warning / critical)
- Configurable latency and error-rate thresholds
- Full evaluation audit log with timestamps
- Export logs to your SIEM or data warehouse
Incidents explained. Postmortems written. Automatically.
Available on Growth and Enterprise plans. AI features use a monthly token budget configurable per workspace.
AI incident summaries
The moment an incident is created, Apixor generates a 2–3 sentence plain-English explanation of what is happening and the likely cause. No more deciphering raw latency numbers — your on-call engineer immediately knows the impact and context.
- Generated within seconds of incident detection
- Explains endpoint, error class, latency deviation, and revenue impact
- Appears inline on the incident detail page
- Available on Growth and Enterprise plans
The Stripe /v1/charges endpoint is returning elevated 5xx errors with p95 latency 4× above baseline, consistent with an upstream Stripe processing degradation. Your payment capture flow is affected, putting an estimated $8,200/month in revenue at risk.
AI postmortems
When an incident resolves, Apixor automatically generates a complete structured postmortem — no more writing them from scratch after a stressful incident. Every section is populated from real incident data: what happened, how long it lasted, what was at risk, and what to do next.
- Summary, timeline, impact, root cause, and remediation steps
- Populated automatically from incident data — no manual input
- Semantic cache: repeat failures get instant contextual updates
- Powered by Claude Sonnet for first-class quality
Summary
Stripe /v1/charges experienced a 45-minute degradation with 23% 5xx error rate and 4× latency spike due to upstream processing issues.
Timeline
Detected 14:02 · Alerted 14:03 · Resolved 14:47 · MTTR 45m 9s
Root cause
Upstream Stripe infrastructure degradation — no recent deployments correlated. Error rate peaked at 23% across the payment capture flow.
Remediation
1. Add retry logic with exponential backoff on 5xx. 2. Add Stripe status page to runbook. 3. Evaluate fallback processor for critical flows.
And much more
Everything else that makes Apixor the complete integration monitoring platform.
Rich Slack alerts
Block Kit messages with revenue context, p95 latency delta, and a direct link to the incident timeline. One-click mute for known maintenance windows.
Real-time dashboard
SSE-powered live incident feed — no polling, no page refreshes. See every connector's current health state at a glance.
Multi-tenant isolation
Every customer's data is row-level isolated in Postgres. Your incidents, baselines, and credentials are never co-mingled.
REST API
Full programmatic access to incidents, baselines, SLA policies, and connector health. Build your own dashboards or automate runbooks.
Latency percentiles
Track p50, p75, p90, p95, and p99 latency per endpoint. Spot tail latency issues that averages hide.
Error-rate monitoring
Track 4xx and 5xx error rates alongside latency. A spike in 422s from Stripe often precedes a full outage by minutes.
Ready to monitor your integrations?
Free plan includes one connector, 5-minute polling, and 100 email alerts per month. No credit card required.