Raygun Error & Performance Monitoring API

Raygun REST API for crash reporting, error monitoring, and real user monitoring (RUM) platform. Enables AI agents to manage crash group retrieval and severity classification for production triage, handle error occurrence querying with full stack trace, user context, and breadcrumb access, access Real User Monitoring (RUM) performance data for web and mobile application user experience, retrieve deployment tracking and error/deployment correlation data, manage crash group resolution, assignment, and suppression workflows, handle custom error tagging and grouping for classification, access affected user tracking and customer impact analysis, retrieve application performance metrics and Apdex scoring, manage alert configuration for error thresholds and performance degradation, and integrate crash reporting with Jira, GitHub, Slack, and PagerDuty for incident response.

Evaluated Mar 07, 2026 (0d ago) vcurrent
Homepage ↗ Repo ↗ Developer Tools raygun error-monitoring crash-reporting apm real-user-monitoring performance-monitoring devops
⚙ Agent Friendliness
59
/ 100
Can an agent use this?
🔒 Security
72
/ 100
Is it safe for agents?
⚡ Reliability
69
/ 100
Does it work consistently?

Score Breakdown

⚙ Agent Friendliness

MCP Quality
18
Documentation
72
Error Messages
70
Auth Simplicity
82
Rate Limits
68

🔒 Security

TLS Enforcement
92
Auth Strength
68
Scope Granularity
65
Dep. Hygiene
70
Secret Handling
68

Crash monitoring and RUM. SOC2, GDPR. API key. US/EU. Application crash and user session data.

⚡ Reliability

Uptime/SLA
72
Version Stability
70
Breaking Changes
65
Error Recovery
68
AF Security Reliability

Best When

A software team using Raygun wants AI agents to automate crash triage, user-impact analysis, deployment correlation, performance monitoring, and integration with incident management and development platforms.

Avoid When

PRIVACY RISK: Crash reports include user session data and stack traces that may contain PII or secrets — configure data masking before automated processing. Affected user data requires GDPR/CCPA-compliant handling. Automated crash suppression without engineer review can hide legitimate bugs; suppression should be human-reviewed.

Use Cases

  • Triaging production crashes from engineering automation agents
  • Measuring user-impact of errors from customer experience agents
  • Correlating deployments with error spikes from DevOps agents
  • Monitoring real user performance from SRE agents

Not For

  • Infrastructure and server metrics without application-layer error focus
  • Security monitoring without application error and user experience context
  • Log management without structured crash reporting and grouping

Interface

REST API
Yes
GraphQL
No
gRPC
No
MCP Server
No
SDK
Yes
Webhooks
Yes

Authentication

Methods: apikey
OAuth: No Scopes: No

Raygun uses API key authentication. Per-application API key for data ingestion and management API key for management operations. Open-source crash reporting providers on GitHub (MindscapeHQ org). Webhooks for crash alert notifications. REST API with JSON responses. New Zealand-based company with US and EU data hosting options.

Pricing

Model: freemium
Free tier: Yes
Requires CC: No

Wellington, New Zealand. Founded 2013. Private company (Mindscape). Error monitoring and RUM market. Strong in .NET and Microsoft technology ecosystem (NZ Microsoft partner). Known for user-impact-focused crash reporting ('affected user' metric). Real User Monitoring product alongside crash reporting. Competes with Sentry and Airbrake for developer error monitoring.

Agent Metadata

Pagination
offset
Idempotent
Partial
Retry Guidance
Not documented

Known Gotchas

  • PRIVACY RISK: Crash reports include user identifiers and session data — configure user data masking and PII filtering before automated processing
  • Dual product surface — Crash Reporting and Real User Monitoring (RUM) have separate API endpoints and authentication; verify which product your subscription includes
  • Affected user tracking — Raygun's 'affected users' metric requires user context in SDK initialization; without user context, impact analysis is limited to event counts
  • Crash group vs. occurrence — management API operates on crash groups not individual occurrences; understand grouping algorithms for accurate triage
  • Webhook for real-time — use webhooks for real-time crash notifications rather than polling; webhook payloads include full crash group context
  • Data residency selection — US and EU hosting available at account creation; cannot change region after setup; verify residency before production deployment

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Scores are editorial opinions as of 2026-03-07.

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