Rank #2 of 6 in Observability & Monitoring
Install
curl -sL https://sentry.io/get-cli/ | shVendor-official, but review any script before piping it to a shell.
Showcase


Try itExperimental
See what an agent can do with Sentry before you ever sign up. Pick a story: recorded sessions replay real probe-harness transcripts; the live MCP handshake runs real requests from our edge, right now — including, where the server allows it, one real read-only tool call (bring your own key for auth-gated servers); sandboxed self-drive sessions are designed and gated (docs/TRY-IT.md).
$sentry-cli --versionrecorded session — replayed, not liveVerified integrations
Connections to other tracked products — hover a chip for the verbatim evidence quote behind it.
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 assist — stories about ai assist in this arenaAi assistevidence →
Stories about ai assist in this arena
Alerting slos — stories about alerting slos in this arenaAlerting slosevidence →
Stories about alerting slos in this arena
Automation depth — how much of the product can run unattendedAutomation depthevidence →
How much of the product can run unattended
Cost sampling — stories about cost sampling in this arenaCost samplingevidence →
Stories about cost sampling in this arena
Dashboards as code — stories about dashboards as code in this arenaDashboards as codeevidence →
Stories about dashboards as code in this arena
Deployment openness — stories about deployment openness in this arenaDeployment opennessevidence →
Stories about deployment openness in this arena
Incident response — stories about incident response in this arenaIncident responseevidence →
Stories about incident response in this arena
Openness — open source, data portability, and self-hosting storiesOpennessevidence →
Open source, data portability, and self-hosting stories
Otel standards — stories about otel standards in this arenaOtel standardsevidence →
Stories about otel standards in this arena
Privacy posture — data-handling and privacy storiesPrivacy postureevidence →
Data-handling and privacy stories
Query analytics — stories about query analytics in this arenaQuery analyticsevidence →
Stories about query analytics in this arena
Telemetry unified — stories about telemetry unified in this arenaTelemetry unifiedevidence →
Stories about telemetry unified in this arena
Story verdicts — every judged story with its evidenceStory verdicts
What’s free: 2 free · 0 paid · 0 enterprise · 30 not stated in evidence
Follow the green: where the map greys out is where Sentry 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
✓7/10
unlocks → Scoped API keys · Machine-readable spec · Versioning policy
Subscribe to events via webhooks
~5/10
Build against official SDKs
✓7/10
Issue scoped/least-privilege API credentials for an agent
—0/10
Connect an agent via an official MCP server
✓8/10
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
n/an/a
Explore an interactive API reference with runnable examples
—0/10
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
✓7/10
unlocks → MCP client
Operate the product with natural-language commands
✓7/10
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
✓8/10
Set up automations that run autonomously in the background
✓7/10
Ai assist — stories about ai assist in this arenaAi assist
Stories about ai assist in this arena
Alerting slos — stories about alerting slos in this arenaAlerting slos
Stories about alerting slos in this arena
Automation depth — how much of the product can run unattendedAutomation depth
How much of the product can run unattended
Cost sampling — stories about cost sampling in this arenaCost sampling
Stories about cost sampling in this arena
Dashboards as code — stories about dashboards as code in this arenaDashboards as code
Stories about dashboards as code in this arena
Deployment openness — stories about deployment openness in this arenaDeployment openness
Stories about deployment openness in this arena
Incident response — stories about incident response in this arenaIncident response
Stories about incident response in this arena
Openness — open source, data portability, and self-hosting storiesOpenness
Open source, data portability, and self-hosting stories
Otel standards — stories about otel standards in this arenaOtel standards
Stories about otel standards in this arena
Privacy posture — data-handling and privacy storiesPrivacy posture
Data-handling and privacy stories
Query analytics — stories about query analytics in this arenaQuery analytics
Stories about query analytics in this arena
Telemetry unified — stories about telemetry unified in this arenaTelemetry unified
Stories about telemetry unified in this arena
Jump from a trace span to its correlated logs and metrics to debug a request end to end
~5/10
Instrument hosts, containers, Kubernetes, and cloud services through vendor-maintained agents and integrations
~3/10
Collect metrics, logs, and traces in one platform and pivot between them with shared context
~5/10
Sorted by importance (agentic first) (high → low) · 54/54 stories · click a row’s chevron for the rationale and evidence
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 | fullfree | 8/10 | 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 | full | 7/10 | Cclaimed | |
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 | 7/10 | Tprobed | |
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 | ||
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 | full | 8/10 | Cclaimed | |
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 | |
Build against official SDKs G Agent access | ai-native user | Agenticness — how well agents can access and operate the productAgenticness | 2 | full | 7/10 | Cclaimed | |
Operate the product with natural-language commands G Agentic features | ai-native user | Agenticness — how well agents can access and operate the productAgenticness | 2 | full | 7/10 | 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 | full | 7/10 | Cclaimed | |
Use an official CLI G Agent access | ai-native user | Agenticness — how well agents can access and operate the productAgenticness | 2 | full | 7/10 | 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 | 6/10 | Tprobed | |
Subscribe to events via webhooks G Agent access | ai-native user | Agenticness — how well agents can access and operate the productAgenticness | 2 | partial | 5/10 | Cclaimed | |
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 | ||
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 | none | 0/10 | ||
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 | 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 | ||
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 | n/a | untested | none yet | |
Define rules that trigger actions automatically on events G | ai-native user | Automation depth — how much of the product can run unattendedAutomation depth | 3 | full | 8/10 | Cclaimed | |
Have an external agent query metrics, logs, and traces through documented APIs to debug production C Agent integration | ai-native user | Ai assist — stories about ai assist in this arenaAi assist | 3 | full | 8/10 | Tprobed | |
Have the platform's AI investigate an alert or error and propose a probable root cause C Ai investigation | ai-native user | Ai assist — stories about ai assist in this arenaAi assist | 3 | full | 8/10 | Cclaimed | |
Send telemetry directly over OTLP with first-class OpenTelemetry support C Otel | developer | Otel standards — stories about otel standards in this arenaOtel standards | 3 | full | 8/10 | Cclaimed | |
Alert on any telemetry signal with routing, grouping, and silencing of notifications C Alerting | sre | Alerting slos — stories about alerting slos in this arenaAlerting slos | 3 | partial | 6/10 | 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 | partialfree | 6/10 | Xcommunity | |
Analyze telemetry ad hoc with a documented query language C Query language | developer | Query analytics — stories about query analytics in this arenaQuery analytics | 3 | partial | 5/10 | Cclaimed | |
Collect metrics, logs, and traces in one platform and pivot between them with shared context C Signals | sre | Telemetry unified — stories about telemetry unified in this arenaTelemetry unified | 3 | partial | 5/10 | Cclaimed | |
Self-host the core product G | ai-native user | Openness — open source, data portability, and self-hosting storiesOpenness | 3 | disputed | 5/10 | Dcontradicted | |
Define dashboards and alerts as code (JSON models, Terraform, or API) and provision them repeatably C As code | developer | Dashboards as code — stories about dashboards as code in this arenaDashboards as code | 3 | none | 0/10 | ||
See what my observability spend is, attribute it to teams or services, and catch usage spikes before the bill C Cost | sre | Cost sampling — stories about cost sampling in this arenaCost sampling | 3 | none | 0/10 | ||
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 | |
See application errors grouped into issues with stack traces, release tracking, and regression detection C Errors | developer | Query analytics — stories about query analytics in this arenaQuery analytics | 2 | full | 9/10 | Xcommunity | |
Point alert notifications at webhooks that trigger automated remediation or agents G Alert automation | ai-native user | Alerting slos — stories about alerting slos in this arenaAlerting slos | 2 | full | 7/10 | Tprobed | |
Ask questions of my telemetry in natural language and get a real query or chart back C Ai querying | ai-native user | Ai assist — stories about ai assist in this arenaAi assist | 2 | partial | 6/10 | Tprobed | |
Correlate regressions with deploys and configuration changes via release or change tracking C Change tracking | developer | Incident response — stories about incident response in this arenaIncident response | 2 | partial | 6/10 | Cclaimed | |
Get AI-generated summaries of incidents and alert context for responders C Ai investigation | ai-native user | Ai assist — stories about ai assist in this arenaAi assist | 2 | partial | 6/10 | Cclaimed | |
Group and filter by high-cardinality fields (user id, request id) without pre-aggregating or defining indexes first C Analysis | developer | Query analytics — stories about query analytics in this arenaQuery analytics | 2 | partial | 6/10 | Cclaimed | |
Build shareable dashboards with rich visualization types and template variables C Dashboards | sre | Dashboards as code — stories about dashboards as code in this arenaDashboards as code | 2 | partial | 5/10 | Cclaimed | |
Instrument once with open standards and switch backends without re-instrumenting my code C Otel | sre | Otel standards — stories about otel standards in this arenaOtel standards | 2 | partial | 5/10 | Cclaimed | |
Jump from a trace span to its correlated logs and metrics to debug a request end to end C Correlation | developer | Telemetry unified — stories about telemetry unified in this arenaTelemetry unified | 2 | partial | 5/10 | Cclaimed | |
Read the product's source under an open license G | ai-native user | Openness — open source, data portability, and self-hosting storiesOpenness | 2 | disputed | 5/10 | Dcontradicted | |
Run the full observability stack self-hosted in production with documented architecture and upgrade path G Self host | sre | Deployment openness — stories about deployment openness in this arenaDeployment openness | 2 | disputed | 5/10 | Dcontradicted | |
Choose where my data is stored (region/residency) G | ai-native user | Privacy posture — data-handling and privacy storiesPrivacy posture | 2 | partial | 4/10 | Cclaimed | |
Declare and track incidents with timelines, on-call schedules, and escalation policies C Incidents | sre | Incident response — stories about incident response in this arenaIncident response | 2 | partial | 4/10 | 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 | 3/10 | Tprobed | |
Instrument hosts, containers, Kubernetes, and cloud services through vendor-maintained agents and integrations C Instrumentation | sre | Telemetry unified — stories about telemetry unified in this arenaTelemetry unified | 2 | partial | 3/10 | 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 | 3/10 | Cclaimed | |
Control trace/log sampling and retention tiers to manage data volume deliberately C Sampling | developer | Cost sampling — stories about cost sampling in this arenaCost sampling | 2 | none | 0/10 | ||
Define SLOs with error budgets and burn-rate alerts C Slos | sre | Alerting slos — stories about alerting slos in this arenaAlerting slos | 2 | none | 0/10 | ||
Schedule recurring jobs or workflows G | ai-native user | Automation depth — how much of the product can run unattendedAutomation depth | 2 | none | 0/10 | ||
Control data retention and deletion 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 | |
Spin up a local or dev instance of the platform to test instrumentation and dashboards C Local dev | developer | Deployment openness — stories about deployment openness in this arenaDeployment openness | 1 | partial | 6/10 | Xcommunity | |
Predict costs from transparent published per-signal pricing without talking to sales G Cost | sre | Cost sampling — stories about cost sampling in this arenaCost sampling | 1 | partial | 4/10 | Cclaimed | |
Enable anomaly or outlier detection that surfaces problems without hand-written thresholds C Alerting | sre | Alerting slos — stories about alerting slos in this arenaAlerting slos | 1 | none | 0/10 | ||
Version, review, and roll back my automations G | ai-native user | Automation depth — how much of the product can run unattendedAutomation depth | 1 | none | 0/10 |
Opportunities — the stories that would move this product's scores, from its own judged verdictsOpportunitiestop 8 of 35 stories with headroom
What would move Sentry’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
All evidence describes Sentry publishing its own MCP server so external AI assistants (Claude Code, Cursor, Codex, Grok) can call Sentry's tools — the reverse of this story, which asks whether Sentry itself can consume external MCP servers' tools.
Cost sampling — stories about cost sampling in this arenaSee what my observability spend is, attribute it to teams or services, and catch usage spikes before the bill
nonemoves PA Scoreimpact 30
Missing: spend/cost dashboards, per-team/service cost attribution, usage spike alerting or quota-based billing alerts.
Dashboards as code — stories about dashboards as code in this arenaDefine dashboards and alerts as code (JSON models, Terraform, or API) and provision them repeatably
nonemoves PA Scoreimpact 30
Evidence confirms Sentry has dashboards, alerts, and a general web API for managing org-level resources (sentry-docs-14, sentry-docs-20, sentry-docs-21, sentry-docs-22), but there is no mention of a Terraform provider, JSON-based dashboard/alert definitions, or any documented workflow for provisioning dashboards/alerts as code repeatably.
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-model training data usage, opt-out controls, or any privacy policy statement about excluding customer data from AI/ML training — this is an applicable privacy-posture question but entirely unevidenced.
Agenticness — how well agents can access and operate the productIssue scoped/least-privilege API credentials for an agent
nonemoves agent-readyimpact 30
Missing: documentation of scoped API token creation, per-agent permission granularity, or least-privilege credential controls.
Agenticness — how well agents can access and operate the productExplore an interactive API reference with runnable examples
nonemoves API qualityimpact 30
Evidence confirms Sentry has an API and API docs (sentry-docs-14, sentry-docs-20) but nothing shows an interactive reference with runnable/try-it-out examples; a direct probe for OpenAPI/Swagger specs at docs.sentry.io returned 404 for all candidate paths, suggesting no such interactive spec is exposed.
Agenticness — how well agents can access and operate the productDownload a machine-readable API spec (OpenAPI or equivalent)
nonemoves API qualityimpact 30
Sentry documents a REST API (sentry-docs-14/20) but no evidence shows a downloadable OpenAPI/Swagger spec; a direct probe for common OpenAPI paths (openapi.json, swagger.json, etc.) returned 404 across the board (sentry-probe-2), confirming no machine-readable spec is exposed.
Agenticness — how well agents can access and operate the productRely on versioned APIs with a documented deprecation policy
nonemoves API qualityimpact 30
Sentry documents a public web API for account-level resources (sentry-docs-14, sentry-docs-20) but there is no evidence of API versioning scheme or a documented deprecation policy; a probe for an OpenAPI/versioned spec came back 404 across all candidate paths (sentry-probe-2), suggesting no formal versioned/deprecation documentation is exposed.
Showing the top 8 of 35 — 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 map12 surfaces · 38 covered stories
Where the cited evidence behind each covered verdict came from — the same citations the verdicts table shows, no extra judging.
Product docs23 stories
- Point an agent at llms.txt or agent-oriented docs
- Connect an agent via an official MCP server
- Use an official CLI
- Drive the product through a documented public API
- 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
- Have an external agent query metrics, logs, and traces through documented APIs to debug production
- Get AI-generated summaries of incidents and alert context for responders
- Have the platform's AI investigate an alert or error and propose a probable root cause
- Ask questions of my telemetry in natural language and get a real query or chart back
- Point alert notifications at webhooks that trigger automated remediation or agents
- Alert on any telemetry signal with routing, grouping, and silencing of notifications
- Define rules that trigger actions automatically on events
- Build shareable dashboards with rich visualization types and template variables
- Declare and track incidents with timelines, on-call schedules, and escalation policies
- Group and filter by high-cardinality fields (user id, request id) without pre-aggregating or defining indexes first
- See application errors grouped into issues with stack traces, release tracking, and regression detection
- Analyze telemetry ad hoc with a documented query language
- Jump from a trace span to its correlated logs and metrics to debug a request end to end
- Collect metrics, logs, and traces in one platform and pivot between them with shared context
sentry.io9 stories
- Build against official SDKs
- 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
- Get AI-generated summaries of incidents and alert context for responders
- Have the platform's AI investigate an alert or error and propose a probable root cause
- Correlate regressions with deploys and configuration changes via release or change tracking
- Instrument once with open standards and switch backends without re-instrumenting my code
- Instrument hosts, containers, Kubernetes, and cloud services through vendor-maintained agents and integrations
Concepts docs8 stories
- Build against official SDKs
- Have an external agent query metrics, logs, and traces through documented APIs to debug production
- Alert on any telemetry signal with routing, grouping, and silencing of notifications
- Send telemetry directly over OTLP with first-class OpenTelemetry support
- Instrument once with open standards and switch backends without re-instrumenting my code
- Jump from a trace span to its correlated logs and metrics to debug a request end to end
- Instrument hosts, containers, Kubernetes, and cloud services through vendor-maintained agents and integrations
- Collect metrics, logs, and traces in one platform and pivot between them with shared context
docs.sentry.io7 stories
- Point an agent at llms.txt or agent-oriented docs
- Connect an agent via an official MCP server
- Use an official CLI
- Operate the product with natural-language commands
- Get AI-generated summaries of incidents and alert context for responders
- Correlate regressions with deploys and configuration changes via release or change tracking
- See application errors grouped into issues with stack traces, release tracking, and regression detection
Hacker News6 stories
- Spin up a local or dev instance of the platform to test instrumentation and dashboards
- Run the full observability stack self-hosted in production with documented architecture and upgrade path
- Export all of my data in open formats and leave
- Read the product's source under an open license
- Self-host the core product
- See application errors grouped into issues with stack traces, release tracking, and regression detection
API reference6 stories
- Run the product headlessly / in CI for automation
- Drive the product through a documented public API
- Have an external agent query metrics, logs, and traces through documented APIs to debug production
- Perform bulk operations across many items at once
- Do everything through the API that I can do in the UI
- Export all of my data in open formats and leave
Self hosted docs6 stories
- Spin up a local or dev instance of the platform to test instrumentation and dashboards
- Run the full observability stack self-hosted in production with documented architecture and upgrade path
- Export all of my data in open formats and leave
- Read the product's source under an open license
- Self-host the core product
- Choose where my data is stored (region/residency)
CLI docs4 stories
OpenAPI spec3 stories
Integrations docs3 stories
Pricing docs3 stories
Probe proofs — replayable recordings from the probe harnessProbe proofs
Replayable recordings from our probe harness — see the Prove-It protocol to submit one.
$sentry-cli --versionreproduced$ sentry-cli --version sentry-cli 3.7.0
$curl -si -X POST https://mcp.sentry.dev/mcp -H 'Content-Type: application/json' -d '<jsonrpc initialize>'reproduced$ curl -si -X POST https://mcp.sentry.dev/mcp -H 'Content-Type: application/json' -d '<jsonrpc initialize>'
HTTP/2 401
date: Sat, 05 Sep 2026 01:11:29 GMT
content-type: application/json
content-length: 79
cache-control: no-store
www-authenticate: Bearer realm="OAuth", error="invalid_[redacted]", error_description="Missing or invalid access [redacted]", resource_metadata="https://mcp.sentry.dev/.well-known/oauth-protected-resource/mcp"
pragma: no-cache
report-to: {"group":"cf-nel","max_age":604800,"endpoints":[{"url":"https://a.nel.cloudflare.com/report/v4?s=P%2BsPpaog%2Fzrw2EmRwKVEwrlS5vYlEYl1kZ1I6ZrrRY5glCPZO4reulRNPhyOi5%2BsNSb%2BDf4exNnXIWq7voc4XIZB0OFJj3Vh%2FLdiQ4Zmsb2P25lkqEtMCV0CVKigR8DY8Q%3D%3D"}]}
nel: {"report_to":"cf-nel","success_fraction":0.0,"max_age":604800}
server: cloudflare
cf-ray: a3615c38a8b5d4f9-SJC
alt-svc: h3=":443"; ma=86400
{"error":"invalid_[redacted]","error_description":"Missing or invalid access [redacted]"}
Claims vs evidence — vendor claims reconciled against independent verdictsClaims vs evidence
6 of 18 testable claims verified · 3 contradicted → integrity 0/100
23 distinct capability claims found in Sentry’s own claimed-docs/GitHub materials, reconciled against our judge’s independent verdicts.
6
Verified
9
Unverified
3
Contradicted
20
Undersold
Verified (7)
“CLI installer command to set up Sentry AI integration”
“MCP server connects AI assistants to search errors, analyze performance, triage issues, read docs, and manage projects”
“Web API lets you manage organizations, teams, and export/manage data programmatically”
Drive the product through a documented public APIfullproof ↗
“Official MCP server exposes a connected Sentry agent to external tools”
“One command teaches AI coding assistants (Claude Code, Cursor, Codex, Grok) to install and configure Sentry”
Point an agent at llms.txt or agent-oriented docsfullproof ↗
“Alerts trigger notifications, ticket creation, webhook calls, or other integrations based on rule matches”
Point alert notifications at webhooks that trigger automated remediation or agentsfullproof ↗
“Seer Agent answers natural-language questions about your application by finding relevant telemetry”
Ask questions of my telemetry in natural language and get a real query or chart backpartialproof ↗
Unverified (10)
“Alert rule sends Slack notification when a new issue is created”
Alert on any telemetry signal with routing, grouping, and silencing of notificationspartialproof ↗
“Dashboards give overview of application health across multiple projects' errors and performance”
Build shareable dashboards with rich visualization types and template variablespartialproof ↗
“Autofix automatically scans incoming issues, finds root causes, and automates triage”
Have the platform's AI investigate an alert or error and propose a probable root causefullproof ↗
“Ingests OpenTelemetry traces and logs via OTLP endpoints from SDKs or collector”
Send telemetry directly over OTLP with first-class OpenTelemetry supportfullproof ↗
“Explore span samples, visualize span attributes, and run flexible queries/aggregations over trace data”
Analyze telemetry ad hoc with a documented query languagepartialproof ↗
“Filter issues by properties like browser, device, impacted users, or unhandled status”
Group and filter by high-cardinality fields (user id, request id) without pre-aggregating or defining indexes firstpartialproof ↗
“Simple SDK drop-in instrumentation with no separate agent installation required”
Instrument once with open standards and switch backends without re-instrumenting my codepartialproof ↗
“Surfaces suspect commits, stack traces, and PR comments tied to issues”
Correlate regressions with deploys and configuration changes via release or change trackingpartialproof ↗
“Alerts trigger notifications, ticket creation, webhook calls, or other integrations based on rule matches”
Alert on any telemetry signal with routing, grouping, and silencing of notificationspartialproof ↗
“Solo/small-project plan includes error monitoring, tracing, alerts, dashboards, and MCP access”
Predict costs from transparent published per-signal pricing without talking to salespartialproof ↗
Contradicted (4)
“Can self-host the entire Sentry platform for free”
“Can self-host the entire Sentry platform for free”
Run the full observability stack self-hosted in production with documented architecture and upgrade pathdisputedproof ↗
“Cron/scheduled job monitoring set up in five lines of code”
“Offers a minimal, unsupported self-hosted setup that works out-of-the-box”
Undersold (20)
Run the product headlessly / in CI for automationpartialproof ↗
Get AI-generated insights and suggestions from my data inside the productfullproof ↗
Set up automations that run autonomously in the backgroundfullproof ↗
Delegate tasks to a built-in AI assistant inside the productfullproof ↗
Operate the product with natural-language commandsfullproof ↗
Have an external agent query metrics, logs, and traces through documented APIs to debug productionfullproof ↗
Get AI-generated summaries of incidents and alert context for responderspartialproof ↗
Perform bulk operations across many items at oncepartialproof ↗
Define rules that trigger actions automatically on eventsfullproof ↗
Spin up a local or dev instance of the platform to test instrumentation and dashboardspartialproof ↗
Declare and track incidents with timelines, on-call schedules, and escalation policiespartialproof ↗
Do everything through the API that I can do in the UIpartialproof ↗
Export all of my data in open formats and leavepartialproof ↗
Choose where my data is stored (region/residency)partialproof ↗
See application errors grouped into issues with stack traces, release tracking, and regression detectionfullproof ↗
Jump from a trace span to its correlated logs and metrics to debug a request end to endpartialproof ↗
Instrument hosts, containers, Kubernetes, and cloud services through vendor-maintained agents and integrationspartialproof ↗
Collect metrics, logs, and traces in one platform and pivot between them with shared contextpartialproof ↗
Claims outside our story set (4)
Real capability claims found in Sentry’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.
“Seer AI reviews code changes in GitHub/GitLab to catch bugs before merge”
source ↗“Debug files management for iOS/Android, release and source maps, and code mappings for other platforms”
source ↗“Agent tracing catches unexpected AI output, bad tool calls, and visualizes agent spend/performance”
source ↗“Supports SAML and SCIM for enterprise identity management”
source ↗
Business model
FSL source-available self-hosted Sentry is free; SaaS has a free developer tier then flat plans metered by event/span/replay volume with pay-as-you-go overages.
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
Agent surface uptime MCP 100% · llms.txt 100% (30d, checked every 6h since Sep 8 '26)
