Rollbar
Tracks real-time application errors with person-level impact data and supports RQL (Rollbar Query Language) for agents to run SQL-like queries over error data.
Score Breakdown
⚙ Agent Friendliness
🔒 Security
US-only data residency on standard plans. SOC2 Type II certified. No OAuth2 integration flow. Post token and read token should be treated as separate secrets.
⚡ Reliability
Best When
An agent needs to run flexible analytical queries over error data using SQL-like syntax, or needs to correlate errors with specific deploys and individual users.
Avoid When
The use case is primarily performance tracing or distributed trace visualization rather than error grouping and occurrence analysis.
Use Cases
- • Run an RQL query to count unique users affected by a specific error class in the past 7 days for an impact report
- • List all errors introduced in a specific deploy version to scope a regression investigation
- • Retrieve person-level occurrence history for a given user ID to understand their error experience during support triage
- • Create a deploy tracking entry via API when CI/CD completes to correlate new errors with code changes
- • Mute or resolve items in bulk that match a known pattern to reduce noise during an incident
Not For
- • APM-level distributed tracing with service-to-service latency visualization (use Jaeger or Datadog APM)
- • Infrastructure metrics and host monitoring (use Prometheus or CloudWatch)
- • Mobile crash symbolication and stability scoring for iOS/Android (Bugsnag or Firebase Crashlytics are better suited)
Interface
Authentication
Project-level read and write tokens; account-level tokens for cross-project operations. No OAuth2. Tokens passed via X-Rollbar-Access-Token header or query param.
Pricing
Occurrence-based pricing. Overages charged at per-occurrence rate. Volume discounts on annual plans.
Agent Metadata
Known Gotchas
- ⚠ RQL queries that time out return a 200 status with an error message in the JSON body instead of a 4xx/5xx — agents must inspect the body even on success responses
- ⚠ Item IDs (counter) differ from occurrence IDs; using one where the other is expected returns confusing 404s with no disambiguation in the error message
- ⚠ The read token and write token for a project are different strings — ingest payloads sent with a read token are silently discarded, not rejected with an error
- ⚠ Pagination uses page and page_count parameters but page_count is the total count of pages only available after the first request — agents must fetch page 1 to know when to stop
- ⚠ Deploy tracking requires correct environment string matching exactly what the SDK was initialized with — mismatches cause deploys to appear in a separate unnamed environment with no warning
Alternatives
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Scores are editorial opinions as of 2026-03-06.