Try itExperimental
See what an agent can do with Rollbar before you ever sign up. Pick a story: recorded sessions replay real probe-harness transcripts; commands tagged live-capable can re-run against the real endpoint from our edge, right now (▶ run live — the exact same request, live and recorded lines always labeled); sandboxed self-drive sessions are designed and gated (docs/TRY-IT.md).
$curl -s https://api.rollbar.com/api/1/items/ # the documented REST API, keyless → access-token challengerecorded session — replayed, not liveVerified integrations
No integration evidence found in our corpus for this product yet — that means none was found, never that it doesn’t integrate.
By theme — the product's score on each story themeBy theme
Agenticness — how well agents can access and operate the productAgenticnessevidence →
How well agents can access and operate the product
Ai debugging — stories about ai debugging in this arenaAi debuggingevidence →
Stories about ai debugging in this arena
Alerting noise — stories about alerting noise in this arenaAlerting noiseevidence →
Stories about alerting noise in this arena
Automation depth — how much of the product can run unattendedAutomation depthevidence →
How much of the product can run unattended
Data scrubbing — stories about data scrubbing in this arenaData scrubbingevidence →
Stories about data scrubbing in this arena
Error data access — stories about error data access in this arenaError data accessevidence →
Stories about error data access in this arena
Grouping triage — stories about grouping triage in this arenaGrouping triageevidence →
Stories about grouping triage in this arena
Impact analytics — stories about impact analytics in this arenaImpact analyticsevidence →
Stories about impact analytics in this arena
Openness — open source, data portability, and self-hosting storiesOpennessevidence →
Open source, data portability, and self-hosting stories
Privacy posture — data-handling and privacy storiesPrivacy postureevidence →
Data-handling and privacy stories
Quotas cost — stories about quotas cost in this arenaQuotas costevidence →
Stories about quotas cost in this arena
Releases regressions — stories about releases regressions in this arenaReleases regressionsevidence →
Stories about releases regressions in this arena
Sdk instrumentation — stories about sdk instrumentation in this arenaSdk instrumentationevidence →
Stories about sdk instrumentation in this arena
Search analytics — stories about search analytics in this arenaSearch analyticsevidence →
Stories about search analytics in this arena
Sourcemaps symbolication — stories about sourcemaps symbolication in this arenaSourcemaps symbolicationevidence →
Stories about sourcemaps symbolication in this arena
Workflow integrations — stories about workflow integrations in this arenaWorkflow integrationsevidence →
Stories about workflow integrations in this arena
Story verdicts — every judged story with its evidenceStory verdicts
What’s free: 0 free · 1 paid · 0 enterprise · 33 not stated in evidence
Follow the green: where the map greys out is where Rollbar stops today. ✓ full · ~ partial · ! disputed · — none · n/a not applicable.
Agenticness — how well agents can access and operate the productAgenticness
How well agents can access and operate the product
API surface
Drive the product through a documented public API
✓8/10
unlocks → Machine-readable spec · Versioning policy · API sandbox · Official CLI · Link an error to Jira, GitHub Issues, or Linear with two-way status sync, so fixing the ticket resolves the error and a regression reopens it · The platform connects to my repos so an issue shows suspect commits and code owners, and I can jump from a stack frame to the exact line on my default branch
Subscribe to events via webhooks
✓7/10
Build against official SDKs
~6/10
Issue scoped/least-privilege API credentials for an agent
~5/10
Connect an agent via an official MCP server
✓7/10
Download a machine-readable API spec (OpenAPI or equivalent)
—0/10
Rely on versioned APIs with a documented deprecation policy
—0/10
Test against a sandbox environment without touching production data
—–
Explore an interactive API reference with runnable examples
~3/10
Docs for agents
Point an agent at llms.txt or agent-oriented docs
✓8/10
Agentic features
Delegate tasks to a built-in AI assistant inside the product
~6/10
unlocks → MCP client
Operate the product with natural-language commands
~5/10
Plug MCP servers into this product so it can use their tools
—0/10
Get AI-generated insights and suggestions from my data inside the product
~6/10
Set up automations that run autonomously in the background
~6/10
Ai debugging — stories about ai debugging in this arenaAi debugging
Stories about ai debugging in this arena
Alerting noise — stories about alerting noise in this arenaAlerting noise
Stories about alerting noise in this arena
Route alerts by project, environment, and severity to Slack, PagerDuty, or email with per-rule thresholds — new issue, frequency spike, affected-user count
~5/10
Fight alert fatigue with spike protection, per-key rate limits, and mute/ignore rules so one bad deploy doesn't page the whole team all night
~4/10
Automation depth — how much of the product can run unattendedAutomation depth
How much of the product can run unattended
Data scrubbing — stories about data scrubbing in this arenaData scrubbing
Stories about data scrubbing in this arena
Error data access — stories about error data access in this arenaError data access
Stories about error data access in this arena
An agent can pull my top production issues with stack traces via API or MCP, triage them, and file the real bugs into my tracker
~6/10
List, query, and update issues and fetch raw events through a documented REST API with scoped tokens
~6/10
The event-ingestion protocol is documented and open enough that custom clients and compatible SDKs can send events without an official SDK
~4/10
Grouping triage — stories about grouping triage in this arenaGrouping triage
Stories about grouping triage in this arena
Impact analytics — stories about impact analytics in this arenaImpact analytics
Stories about impact analytics in this arena
Openness — open source, data portability, and self-hosting storiesOpenness
Open source, data portability, and self-hosting stories
Privacy posture — data-handling and privacy storiesPrivacy posture
Data-handling and privacy stories
Quotas cost — stories about quotas cost in this arenaQuotas cost
Stories about quotas cost in this arena
Releases regressions — stories about releases regressions in this arenaReleases regressions
Stories about releases regressions in this arena
I get alerted when an error that was fixed comes back in a newer release, distinct from ordinary new-issue noise
—0/10
Watch release health — crash-free sessions and users, adoption per release — and compare a canary release against the last stable one
~3/10
Associate errors with releases and commits so each issue shows the release it first appeared in and the suspect commit that likely caused it
~6/10
Sdk instrumentation — stories about sdk instrumentation in this arenaSdk instrumentation
Stories about sdk instrumentation in this arena
Attach breadcrumbs, custom tags, and user context to every event so a stack trace arrives with the state that produced it
~6/10
Capture native mobile crashes — iOS, Android, NDK — with the device, OS, and app-version context needed to reproduce them
~3/10
Instrument my web frontend, backend services, and mobile apps with official SDKs that capture uncaught errors automatically
✓8/10
Search analytics — stories about search analytics in this arenaSearch analytics
Stories about search analytics in this arena
Sourcemaps symbolication — stories about sourcemaps symbolication in this arenaSourcemaps symbolication
Stories about sourcemaps symbolication in this arena
Workflow integrations — stories about workflow integrations in this arenaWorkflow integrations
Stories about workflow integrations in this arena
Link an error to Jira, GitHub Issues, or Linear with two-way status sync, so fixing the ticket resolves the error and a regression reopens it
—0/10
The platform connects to my repos so an issue shows suspect commits and code owners, and I can jump from a stack frame to the exact line on my default branch
—0/10
Sorted by importance (agentic first) (high → low) · 55/55 stories · click a row’s chevron for the rationale and evidence
Drive the product through a documented public API G Agent access | ai-native user | Agenticness — how well agents can access and operate the productAgenticness | 3 | full | 8/10 | Tprobed | |
Connect an agent via an official MCP server G Agent access | ai-native user | Agenticness — how well agents can access and operate the productAgenticness | 3 | full | 7/10 | Tprobed | |
Delegate tasks to a built-in AI assistant inside the product G Agentic features | ai-native user | Agenticness — how well agents can access and operate the productAgenticness | 3 | partial | 6/10 | Cclaimed | |
Plug MCP servers into this product so it can use their tools G Agent access | ai-native user | Agenticness — how well agents can access and operate the productAgenticness | 3 | none | 0/10 | ||
Point an agent at llms.txt or agent-oriented docs G Agent access | ai-native user | Agenticness — how well agents can access and operate the productAgenticness | 2 | full | 8/10 | Tprobed | |
Subscribe to events via webhooks G Agent access | ai-native user | Agenticness — how well agents can access and operate the productAgenticness | 2 | full | 7/10 | Cclaimed | |
Build against official SDKs G Agent access | ai-native user | Agenticness — how well agents can access and operate the productAgenticness | 2 | partial | 6/10 | Cclaimed | |
Get AI-generated insights and suggestions from my data inside the product G Agentic features | ai-native user | Agenticness — how well agents can access and operate the productAgenticness | 2 | partial | 6/10 | Tprobed | |
Set up automations that run autonomously in the background G Agentic features | ai-native user | Agenticness — how well agents can access and operate the productAgenticness | 2 | partial | 6/10 | Tprobed | |
Issue scoped/least-privilege API credentials for an agent G Agent access | ai-native user | Agenticness — how well agents can access and operate the productAgenticness | 2 | partial | 5/10 | Xcommunity | |
Operate the product with natural-language commands G Agentic features | ai-native user | Agenticness — how well agents can access and operate the productAgenticness | 2 | partial | 5/10 | Tprobed | |
Run the product headlessly / in CI for automation G Agent access | ai-native user | Agenticness — how well agents can access and operate the productAgenticness | 2 | partial | 5/10 | Cclaimed | |
Explore an interactive API reference with runnable examples G Api quality | ai-native user | Agenticness — how well agents can access and operate the productAgenticness | 2 | partial | 3/10 | Tprobed | |
Download a machine-readable API spec (OpenAPI or equivalent) G Api quality | ai-native user | Agenticness — how well agents can access and operate the productAgenticness | 2 | none | 0/10 | ||
Rely on versioned APIs with a documented deprecation policy G Api quality | ai-native user | Agenticness — how well agents can access and operate the productAgenticness | 2 | none | 0/10 | ||
Use an official CLI G Agent access | ai-native user | Agenticness — how well agents can access and operate the productAgenticness | 2 | none | untested | none yet | |
Test against a sandbox environment without touching production data G Api quality | ai-native user | Agenticness — how well agents can access and operate the productAgenticness | 1 | none | untested | none yet | |
Instrument my web frontend, backend services, and mobile apps with official SDKs that capture uncaught errors automatically C Sdk coverage | developer | Sdk instrumentation — stories about sdk instrumentation in this arenaSdk instrumentation | 3 | full | 8/10 | Cclaimed | |
The platform groups thousands of duplicate events into one issue via stack-trace fingerprinting, and I can customize the grouping when it gets it wrong C Grouping | developer | Grouping triage — stories about grouping triage in this arenaGrouping triage | 3 | full | 8/10 | Cclaimed | |
An agent can pull my top production issues with stack traces via API or MCP, triage them, and file the real bugs into my tracker C Agent access | ai-native user | Error data access — stories about error data access in this arenaError data access | 3 | partial | 6/10 | Tprobed | |
Associate errors with releases and commits so each issue shows the release it first appeared in and the suspect commit that likely caused it C Release tracking | developer | Releases regressions — stories about releases regressions in this arenaReleases regressions | 3 | partial | 6/10 | Cclaimed | |
List, query, and update issues and fetch raw events through a documented REST API with scoped tokens C Api access | developer | Error data access — stories about error data access in this arenaError data access | 3 | partial | 6/10 | Tprobed | |
The platform's AI analyzes an issue — stack trace, breadcrumbs, related commits — and proposes a root cause I can act on C Root cause | ai-native user | Ai debugging — stories about ai debugging in this arenaAi debugging | 3 | partial | 6/10 | Cclaimed | |
Upload JavaScript source maps from CI — via CLI or bundler plugin — so production stack traces show my original source, not minified frames C Sourcemaps | developer | Sourcemaps symbolication — stories about sourcemaps symbolication in this arenaSourcemaps symbolication | 3 | partial | 6/10 | Cclaimed | |
Define rules that trigger actions automatically on events G | ai-native user | Automation depth — how much of the product can run unattendedAutomation depth | 3 | partial | 5/10 | Cclaimed | |
Route alerts by project, environment, and severity to Slack, PagerDuty, or email with per-rule thresholds — new issue, frequency spike, affected-user count C Alert routing | sre | Alerting noise — stories about alerting noise in this arenaAlerting noise | 3 | partial | 5/10 | Cclaimed | |
Triage issues — assign an owner, resolve, ignore, or snooze — and the platform reopens a resolved issue automatically when it regresses C Triage | sre | Grouping triage — stories about grouping triage in this arenaGrouping triage | 3 | partial | 5/10 | Cclaimed | |
Export all of my data in open formats and leave G | ai-native user | Openness — open source, data portability, and self-hosting storiesOpenness | 3 | partial | 3/10 | Cclaimed | |
Prevent my data from being used to train AI models G | ai-native user | Privacy posture — data-handling and privacy storiesPrivacy posture | 3 | none | untested | none yet | |
Self-host the core product G | ai-native user | Openness — open source, data portability, and self-hosting storiesOpenness | 3 | none | untested | none yet | |
The platform's AI can draft a code fix for an error and open a pull request against my repo for human review C Autofix | ai-native user | Ai debugging — stories about ai debugging in this arenaAi debugging | 2 | full | 7/10 | Cclaimed | |
Attach breadcrumbs, custom tags, and user context to every event so a stack trace arrives with the state that produced it C Event context | developer | Sdk instrumentation — stories about sdk instrumentation in this arenaSdk instrumentation | 2 | partial | 6/10 | Cclaimed | |
Do everything through the API that I can do in the UI G | ai-native user | Openness — open source, data portability, and self-hosting storiesOpenness | 2 | partial | 6/10 | Tprobed | |
Every issue quantifies real impact — how many users and sessions are affected — so I prioritize by blast radius, not raw event counts C User impact | sre | Impact analytics — stories about impact analytics in this arenaImpact analytics | 2 | partial | 6/10 | Cclaimed | |
Control data retention and deletion G | ai-native user | Privacy posture — data-handling and privacy storiesPrivacy posture | 2 | partialpaid | 5/10 | Cclaimed | |
Search and filter events across projects by tag, release, environment, and custom properties with a real query syntax C Event search | developer | Search analytics — stories about search analytics in this arenaSearch analytics | 2 | partial | 5/10 | Cclaimed | |
Fight alert fatigue with spike protection, per-key rate limits, and mute/ignore rules so one bad deploy doesn't page the whole team all night C Noise control | sre | Alerting noise — stories about alerting noise in this arenaAlerting noise | 2 | partial | 4/10 | Cclaimed | |
Perform bulk operations across many items at once G | ai-native user | Automation depth — how much of the product can run unattendedAutomation depth | 2 | partial | 4/10 | Tprobed | |
The event-ingestion protocol is documented and open enough that custom clients and compatible SDKs can send events without an official SDK C Ingest protocol | developer | Error data access — stories about error data access in this arenaError data access | 2 | partial | 4/10 | Tprobed | |
Capture native mobile crashes — iOS, Android, NDK — with the device, OS, and app-version context needed to reproduce them C Mobile crashes | developer | Sdk instrumentation — stories about sdk instrumentation in this arenaSdk instrumentation | 2 | partial | 3/10 | Cclaimed | |
See error trends across projects and teams on dashboards — top regressions, new issues per release, volume over time C Dashboards | engineering leader | Search analytics — stories about search analytics in this arenaSearch analytics | 2 | partial | 3/10 | Cclaimed | |
Watch release health — crash-free sessions and users, adoption per release — and compare a canary release against the last stable one C Release health | sre | Releases regressions — stories about releases regressions in this arenaReleases regressions | 2 | partial | 3/10 | Cclaimed | |
Cap event quotas per project and set spend limits so an error storm burns a predictable budget, never a surprise invoice G Quotas | engineering leader | Quotas cost — stories about quotas cost in this arenaQuotas cost | 2 | none | 0/10 | ||
I get alerted when an error that was fixed comes back in a newer release, distinct from ordinary new-issue noise C Regressions | sre | Releases regressions — stories about releases regressions in this arenaReleases regressions | 2 | none | 0/10 | ||
Link an error to Jira, GitHub Issues, or Linear with two-way status sync, so fixing the ticket resolves the error and a regression reopens it C Issue trackers | developer | Workflow integrations — stories about workflow integrations in this arenaWorkflow integrations | 2 | none | 0/10 | ||
The platform connects to my repos so an issue shows suspect commits and code owners, and I can jump from a stack frame to the exact line on my default branch C Scm context | developer | Workflow integrations — stories about workflow integrations in this arenaWorkflow integrations | 2 | none | 0/10 | ||
Upload dSYM, ProGuard, and native debug symbols so mobile and native crashes symbolicate to real function names and lines C Symbolication | developer | Sourcemaps symbolication — stories about sourcemaps symbolication in this arenaSourcemaps symbolication | 2 | none | 0/10 | ||
Choose where my data is stored (region/residency) G | ai-native user | Privacy posture — data-handling and privacy storiesPrivacy posture | 2 | none | untested | none yet | |
Opt out of telemetry and usage tracking G | ai-native user | Privacy posture — data-handling and privacy storiesPrivacy posture | 2 | none | untested | none yet | |
Read the product's source under an open license G | ai-native user | Openness — open source, data portability, and self-hosting storiesOpenness | 2 | none | untested | none yet | |
Schedule recurring jobs or workflows G | ai-native user | Automation depth — how much of the product can run unattendedAutomation depth | 2 | n/a | untested | none yet | |
Scrub PII from error events — server-side scrubbing rules plus SDK-level filtering — before sensitive payloads ever persist C Pii scrubbing | sre | Data scrubbing — stories about data scrubbing in this arenaData scrubbing | 2 | none | untested | none yet | |
Merge issues that are really the same bug and split ones the fingerprinter wrongly collapsed C Triage | developer | Grouping triage — stories about grouping triage in this arenaGrouping triage | 1 | full | 8/10 | Cclaimed | |
Collect user feedback — a crash-report dialog or feedback widget — attached to the exact error event the user hit C User feedback | developer | Impact analytics — stories about impact analytics in this arenaImpact analytics | 1 | none | untested | none yet | |
Version, review, and roll back my automations G | ai-native user | Automation depth — how much of the product can run unattendedAutomation depth | 1 | n/a | untested | none yet |
Opportunities — the stories that would move this product's scores, from its own judged verdictsOpportunitiestop 8 of 45 stories with headroom
What would move Rollbar’s scores — derived from its own judged verdicts, biggest headroom first. Each line quotes what the judge found missing; shipping it (or evidencing it publicly) is the fix.
Agenticness — how well agents can access and operate the productPlug MCP servers into this product so it can use their tools
nonemoves agent-readyimpact 45
Evidence only shows Rollbar exposing its own MCP server (docs-18, probe-3) so external AI agents can call Rollbar's tools — the opposite direction of this story, which asks whether Rollbar itself can consume/plug in external MCP servers to use their tools.
Openness — open source, data portability, and self-hosting storiesSelf-host the core product
nonemoves PA Scoreimpact 30
Rollbar is a cloud SaaS product; evidence pack shows only pricing plans, hosted API, and cloud features with no mention of a self-hosted/on-prem deployment option or Docker/Kubernetes distribution.
Privacy posture — data-handling and privacy storiesPrevent my data from being used to train AI models
nonemoves PA Scoreimpact 30
No evidence in the pack addresses AI training data usage opt-out or any privacy policy statement about excluding customer data from model training; Rollbar's evidence covers error monitoring, integrations, and an AI 'Resolve' feature but nothing on this specific privacy control.
Agenticness — how well agents can access and operate the productUse an official CLI
nonemoves agent-readyimpact 30
No evidence pack item mentions an official Rollbar CLI; documentation covers SDKs, REST API, and an MCP server but nothing about a command-line tool for AI-native workflows.
Agenticness — how well agents can access and operate the productDownload a machine-readable API spec (OpenAPI or equivalent)
nonemoves API qualityimpact 30
Rollbar publishes a REST API reference (rollbar-docs-14/34) but a direct probe for a machine-readable spec found no accessible OpenAPI/Swagger file at any standard location (rollbar-probe-2 shows 404s across openapi.json, swagger.json, etc.), and no evidence names a downloadable spec elsewhere.
Agenticness — how well agents can access and operate the productRely on versioned APIs with a documented deprecation policy
nonemoves API qualityimpact 30
Missing: versioning scheme details, deprecation policy documentation, changelog for API version sunset dates.
Openness — open source, data portability, and self-hosting storiesExport all of my data in open formats and leave
partialq3/10moves PA Scoreimpact 21
Missing: an explicit data-export/download-all feature, documentation of export formats, and any account-closure data portability guarantee.
Agenticness — how well agents can access and operate the productExplore an interactive API reference with runnable examples
partialq3/10moves API qualityimpact 21
Missing: confirmation of an interactive try-it console, discoverable OpenAPI/Swagger spec, and any hands-on evidence of running examples directly from the docs.
Showing the top 8 of 45 — every none/partial verdict in the story verdicts table is headroom.
Think a verdict is wrong? Every verdicts-table row has a Flag link — see the methodology.
Coverage map — which docs area, API section, or community source covers which judged storiesCoverage map8 surfaces · 36 covered stories
Where the cited evidence behind each covered verdict came from — the same citations the verdicts table shows, no extra judging.
docs34 stories
- Point an agent at llms.txt or agent-oriented docs
- Run the product headlessly / in CI for automation
- Connect an agent via an official MCP server
- Drive the product through a documented public API
- Issue scoped/least-privilege API credentials for an agent
- Subscribe to events via webhooks
- Get AI-generated insights and suggestions from my data inside the product
- Set up automations that run autonomously in the background
- Delegate tasks to a built-in AI assistant inside the product
- Operate the product with natural-language commands
- The platform's AI can draft a code fix for an error and open a pull request against my repo for human review
- The platform's AI analyzes an issue — stack trace, breadcrumbs, related commits — and proposes a root cause I can act on
- Route alerts by project, environment, and severity to Slack, PagerDuty, or email with per-rule thresholds — new issue, frequency spike, affected-user count
- Fight alert fatigue with spike protection, per-key rate limits, and mute/ignore rules so one bad deploy doesn't page the whole team all night
- Perform bulk operations across many items at once
- Define rules that trigger actions automatically on events
- An agent can pull my top production issues with stack traces via API or MCP, triage them, and file the real bugs into my tracker
- List, query, and update issues and fetch raw events through a documented REST API with scoped tokens
- The event-ingestion protocol is documented and open enough that custom clients and compatible SDKs can send events without an official SDK
- The platform groups thousands of duplicate events into one issue via stack-trace fingerprinting, and I can customize the grouping when it gets it wrong
- Triage issues — assign an owner, resolve, ignore, or snooze — and the platform reopens a resolved issue automatically when it regresses
- Merge issues that are really the same bug and split ones the fingerprinter wrongly collapsed
- Every issue quantifies real impact — how many users and sessions are affected — so I prioritize by blast radius, not raw event counts
- Do everything through the API that I can do in the UI
- Export all of my data in open formats and leave
- Control data retention and deletion
- Watch release health — crash-free sessions and users, adoption per release — and compare a canary release against the last stable one
- Associate errors with releases and commits so each issue shows the release it first appeared in and the suspect commit that likely caused it
- Attach breadcrumbs, custom tags, and user context to every event so a stack trace arrives with the state that produced it
- Capture native mobile crashes — iOS, Android, NDK — with the device, OS, and app-version context needed to reproduce them
- Instrument my web frontend, backend services, and mobile apps with official SDKs that capture uncaught errors automatically
- See error trends across projects and teams on dashboards — top regressions, new issues per release, volume over time
- Search and filter events across projects by tag, release, environment, and custom properties with a real query syntax
- Upload JavaScript source maps from CI — via CLI or bundler plugin — so production stack traces show my original source, not minified frames
API reference13 stories
- Run the product headlessly / in CI for automation
- Drive the product through a documented public API
- Build against official SDKs
- Explore an interactive API reference with runnable examples
- Route alerts by project, environment, and severity to Slack, PagerDuty, or email with per-rule thresholds — new issue, frequency spike, affected-user count
- Perform bulk operations across many items at once
- An agent can pull my top production issues with stack traces via API or MCP, triage them, and file the real bugs into my tracker
- List, query, and update issues and fetch raw events through a documented REST API with scoped tokens
- The event-ingestion protocol is documented and open enough that custom clients and compatible SDKs can send events without an official SDK
- Do everything through the API that I can do in the UI
- Export all of my data in open formats and leave
- See error trends across projects and teams on dashboards — top regressions, new issues per release, volume over time
- Search and filter events across projects by tag, release, environment, and custom properties with a real query syntax
OpenAPI spec6 stories
- Point an agent at llms.txt or agent-oriented docs
- Drive the product through a documented public API
- Explore an interactive API reference with runnable examples
- List, query, and update issues and fetch raw events through a documented REST API with scoped tokens
- The event-ingestion protocol is documented and open enough that custom clients and compatible SDKs can send events without an official SDK
- Do everything through the API that I can do in the UI
GitHub README6 stories
- Build against official SDKs
- The platform's AI analyzes an issue — stack trace, breadcrumbs, related commits — and proposes a root cause I can act on
- Every issue quantifies real impact — how many users and sessions are affected — so I prioritize by blast radius, not raw event counts
- Attach breadcrumbs, custom tags, and user context to every event so a stack trace arrives with the state that produced it
- Instrument my web frontend, backend services, and mobile apps with official SDKs that capture uncaught errors automatically
- Search and filter events across projects by tag, release, environment, and custom properties with a real query syntax
Pricing docs5 stories
- The platform groups thousands of duplicate events into one issue via stack-trace fingerprinting, and I can customize the grouping when it gets it wrong
- Every issue quantifies real impact — how many users and sessions are affected — so I prioritize by blast radius, not raw event counts
- Watch release health — crash-free sessions and users, adoption per release — and compare a canary release against the last stable one
- Associate errors with releases and commits so each issue shows the release it first appeared in and the suspect commit that likely caused it
- See error trends across projects and teams on dashboards — top regressions, new issues per release, volume over time
Hacker News3 stories
docs.rollbar.com3 stories
Probe proofs — replayable recordings from the probe harnessProbe proofs
Replayable recordings from our probe harness — see the Prove-It protocol to submit one.
$curl -s https://api.rollbar.com/api/1/items/ # the documented REST API, keyless → access-token challengereproduced$ curl -s https://api.rollbar.com/api/1/items/ # the documented REST API, [redacted]less → access-[redacted] challenge
{
"err": 1,
"message": "access [redacted] required"
}
$curl -sL https://docs.rollbar.com/llms.txt | head -4reproduced$ curl -sL https://docs.rollbar.com/llms.txt | head -4 # Rollbar Docs Documentation > Rollbar docs help developers install SDKs, configure error monitoring, manage projects, and bring production error context into their workflow.
$curl -s https://docs.rollbar.com/openapi/62de9e1b6316c304034d006a | head -c 200 # OpenAPI 3.1, served from the docs sitereproduced$ curl -s https://docs.rollbar.com/openapi/62de9e1b6316c304034d006a | head -c 200 # OpenAPI 3.1, served from the docs site
{"openapi":"3.1.0","servers":[{"url":"https://api.rollbar.com"}],"tags":[{"name":"Item"},{"name":"Occurrence"},{"name":"Metrics"},{"name":"Deploy"},{"name":"Environment"},{"name":"Symbol Maps"},{"name
Claims vs evidence — vendor claims reconciled against independent verdictsClaims vs evidence
3 of 17 testable claims verified · 1 contradicted → integrity 6/100
25 distinct capability claims found in Rollbar’s own claimed-docs/GitHub materials, reconciled against our judge’s independent verdicts.
3
Verified
13
Unverified
1
Contradicted
20
Undersold
Verified (4)
“Offers a RESTful API exposing most system data”
List, query, and update issues and fetch raw events through a documented REST API with scoped tokenspartialproof ↗
“API supports filtering items by severity level and environment”
List, query, and update issues and fetch raw events through a documented REST API with scoped tokenspartialproof ↗
“Newly created API tokens are encrypted and not retrievable after creation for security”
Issue scoped/least-privilege API credentials for an agentpartialproof ↗
“Provides an MCP server implementing the Model Context Protocol for AI tool integration”
Unverified (18)
“Provides SDKs/support for over a dozen platforms for error instrumentation”
Instrument my web frontend, backend services, and mobile apps with official SDKs that capture uncaught errors automaticallyfullproof ↗
“Groups duplicate error occurrences into a single Item automatically”
The platform groups thousands of duplicate events into one issue via stack-trace fingerprinting, and I can customize the grouping when it gets it wrongfullproof ↗
“Lets you define custom fingerprinting rules to control how errors are grouped”
The platform groups thousands of duplicate events into one issue via stack-trace fingerprinting, and I can customize the grouping when it gets it wrongfullproof ↗
“Allows merging multiple items into one group for cleaner metrics”
Merge issues that are really the same bug and split ones the fingerprinter wrongly collapsedfullproof ↗
“Stack traces show original source filename, line number, method name, and code location”
Upload JavaScript source maps from CI — via CLI or bundler plugin — so production stack traces show my original source, not minified framespartialproof ↗
“Shows which code version/release is throwing a given exception”
Associate errors with releases and commits so each issue shows the release it first appeared in and the suspect commit that likely caused itpartialproof ↗
“Deploy/release notifications unlock additional debugging features tied to releases”
Associate errors with releases and commits so each issue shows the release it first appeared in and the suspect commit that likely caused itpartialproof ↗
“Sends real-time alerts via email and various messaging/incident-management integrations”
Route alerts by project, environment, and severity to Slack, PagerDuty, or email with per-rule thresholds — new issue, frequency spike, affected-user countpartialproof ↗
“Native Slack connection for receiving alert notifications”
Route alerts by project, environment, and severity to Slack, PagerDuty, or email with per-rule thresholds — new issue, frequency spike, affected-user countpartialproof ↗
“Integrates with PagerDuty to create, update, and resolve incidents”
Route alerts by project, environment, and severity to Slack, PagerDuty, or email with per-rule thresholds — new issue, frequency spike, affected-user countpartialproof ↗
“Supports outbound webhooks to push data to arbitrary external services”
“Items have lifecycle statuses: Active, Resolved, Muted, Archived”
Triage issues — assign an owner, resolve, ignore, or snooze — and the platform reopens a resolved issue automatically when it regressespartialproof ↗
“Items can be assigned a specific owner for triage accountability”
Triage issues — assign an owner, resolve, ignore, or snooze — and the platform reopens a resolved issue automatically when it regressespartialproof ↗
“Resolve AI agent analyzes a production error and generates a pull request fix”
The platform's AI can draft a code fix for an error and open a pull request against my repo for human reviewfullproof ↗
“Data retention period is customizable on all paid plans”
“Tracks which users are affected by each error”
Every issue quantifies real impact — how many users and sessions are affected — so I prioritize by blast radius, not raw event countspartialproof ↗
“Captures a telemetry timeline of breadcrumb events to aid debugging client-side JS issues”
Attach breadcrumbs, custom tags, and user context to every event so a stack trace arrives with the state that produced itpartialproof ↗
“Advanced search lets you filter items by many different properties”
Search and filter events across projects by tag, release, environment, and custom properties with a real query syntaxpartialproof ↗
Contradicted (2)
“Plans include capped event/session quotas (e.g., 5K occurrences + 1K sessions)”
Cap event quotas per project and set spend limits so an error storm burns a predictable budget, never a surprise invoicenoneproof ↗
“Free tier offers 5K events per month with a 14-day full-access trial”
Cap event quotas per project and set spend limits so an error storm burns a predictable budget, never a surprise invoicenoneproof ↗
Undersold (20)
Point an agent at llms.txt or agent-oriented docsfullproof ↗
Run the product headlessly / in CI for automationpartialproof ↗
Drive the product through a documented public APIfullproof ↗
Get AI-generated insights and suggestions from my data inside the productpartialproof ↗
Set up automations that run autonomously in the backgroundpartialproof ↗
Delegate tasks to a built-in AI assistant inside the productpartialproof ↗
Operate the product with natural-language commandspartialproof ↗
Explore an interactive API reference with runnable examplespartialproof ↗
The platform's AI analyzes an issue — stack trace, breadcrumbs, related commits — and proposes a root cause I can act onpartialproof ↗
Fight alert fatigue with spike protection, per-key rate limits, and mute/ignore rules so one bad deploy doesn't page the whole team all nightpartialproof ↗
Perform bulk operations across many items at oncepartialproof ↗
Define rules that trigger actions automatically on eventspartialproof ↗
An agent can pull my top production issues with stack traces via API or MCP, triage them, and file the real bugs into my trackerpartialproof ↗
The event-ingestion protocol is documented and open enough that custom clients and compatible SDKs can send events without an official SDKpartialproof ↗
Do everything through the API that I can do in the UIpartialproof ↗
Export all of my data in open formats and leavepartialproof ↗
Watch release health — crash-free sessions and users, adoption per release — and compare a canary release against the last stable onepartialproof ↗
Capture native mobile crashes — iOS, Android, NDK — with the device, OS, and app-version context needed to reproduce thempartialproof ↗
See error trends across projects and teams on dashboards — top regressions, new issues per release, volume over timepartialproof ↗
Claims outside our story set (1)
Real capability claims found in Rollbar’s own materials, but no story in this arena’s taxonomy covers them yet — that’s feedback on the taxonomy, not a mark against the product.
“Session Replay beta captures and replays user sessions around errors”
source ↗
Business model
Free plan includes 5k occurrences/mo; paid tiers scale by occurrence volume on a 5K-50M slider with per-occurrence pricing; enterprise is custom.
pricing ↗Score trend
How this product’s scores have moved as evidence and verdicts are re-derived — a point per change, not per day.
Try Experimental
Run it in the microterminal →Recorded agent sessions — and a live MCP handshake where the vendor ships one.
Flag
⚑ Flag a verdictThink a verdict is wrong? Opens a prefilled GitHub issue — or use the ⚑ next to any verdict above.
For agents
