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Rank #2 of 6 in Observability & Monitoring

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Sentry

Open Source Built-in AI assistant

Functional Software, Inc. (Sentry)

44.8k2.8k/yrnpm 26M/wkpypi 28M/wk +43npm/wk -8.3Mpypi/wk +92.3k

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Install

installercurl -sL https://sentry.io/get-cli/ | sh

Vendor-official, but review any script before piping it to a shell.

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Alternatives to Sentry

Showcase

Sentry homepage screenshot
homepage · captured Sep 2026 · view live ↗
Sentry docs screenshot
docs · captured Sep 2026 · view live ↗

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 live
recorded 2026-09-05 · exit 0 · captured verbatim by our probe harness, secrets redacted

Verified 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

46.4/100

Ai assist — stories about ai assist in this arenaAi assistevidence →

Stories about ai assist in this arena

62.4/100

Alerting slos — stories about alerting slos in this arenaAlerting slosevidence →

Stories about alerting slos in this arena

31.0/100

Automation depth — how much of the product can run unattendedAutomation depthevidence →

How much of the product can run unattended

34.5/100

Cost sampling — stories about cost sampling in this arenaCost samplingevidence →

Stories about cost sampling in this arena

4.0/100

Dashboards as code — stories about dashboards as code in this arenaDashboards as codeevidence →

Stories about dashboards as code in this arena

12.0/100

Deployment openness — stories about deployment openness in this arenaDeployment opennessevidence →

Stories about deployment openness in this arena

22.0/100

Incident response — stories about incident response in this arenaIncident responseevidence →

Stories about incident response in this arena

30.0/100

Openness — open source, data portability, and self-hosting storiesOpennessevidence →

Open source, data portability, and self-hosting stories

21.9/100

Otel standards — stories about otel standards in this arenaOtel standardsevidence →

Stories about otel standards in this arena

60.0/100

Privacy posture — data-handling and privacy storiesPrivacy postureevidence →

Data-handling and privacy stories

5.3/100

Query analytics — stories about query analytics in this arenaQuery analyticsevidence →

Stories about query analytics in this arena

48.9/100

Telemetry unified — stories about telemetry unified in this arenaTelemetry unifiedevidence →

Stories about telemetry unified in this arena

26.6/100

Story verdicts — every judged story with its evidenceStory verdicts

What’s free: 2 free · 0 paid · 0 enterprise · 30 not stated in evidence

?

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 userAgenticness — how well agents can access and operate the productAgenticness3fullfree8/10T

Delegate tasks to a built-in AI assistant inside the product G

Agentic features

ai-native userAgenticness — how well agents can access and operate the productAgenticness3full7/10C

Drive the product through a documented public API G

Agent access

ai-native userAgenticness — how well agents can access and operate the productAgenticness3full7/10T

Plug MCP servers into this product so it can use their tools G

Agent access

ai-native userAgenticness — how well agents can access and operate the productAgenticness3none0/10

Get AI-generated insights and suggestions from my data inside the product G

Agentic features

ai-native userAgenticness — how well agents can access and operate the productAgenticness2full8/10C

Point an agent at llms.txt or agent-oriented docs G

Agent access

ai-native userAgenticness — how well agents can access and operate the productAgenticness2full8/10T

Build against official SDKs G

Agent access

ai-native userAgenticness — how well agents can access and operate the productAgenticness2full7/10C

Operate the product with natural-language commands G

Agentic features

ai-native userAgenticness — how well agents can access and operate the productAgenticness2full7/10T

Set up automations that run autonomously in the background G

Agentic features

ai-native userAgenticness — how well agents can access and operate the productAgenticness2full7/10C

Use an official CLI G

Agent access

ai-native userAgenticness — how well agents can access and operate the productAgenticness2full7/10T

Run the product headlessly / in CI for automation G

Agent access

ai-native userAgenticness — how well agents can access and operate the productAgenticness2partial6/10T

Subscribe to events via webhooks G

Agent access

ai-native userAgenticness — how well agents can access and operate the productAgenticness2partial5/10C

Download a machine-readable API spec (OpenAPI or equivalent) G

Api quality

ai-native userAgenticness — how well agents can access and operate the productAgenticness2none0/10

Explore an interactive API reference with runnable examples G

Api quality

ai-native userAgenticness — how well agents can access and operate the productAgenticness2none0/10

Issue scoped/least-privilege API credentials for an agent G

Agent access

ai-native userAgenticness — how well agents can access and operate the productAgenticness2none0/10

Rely on versioned APIs with a documented deprecation policy G

Api quality

ai-native userAgenticness — how well agents can access and operate the productAgenticness2none0/10

Test against a sandbox environment without touching production data G

Api quality

ai-native userAgenticness — how well agents can access and operate the productAgenticness1n/auntestednone yet

Define rules that trigger actions automatically on events G

ai-native userAutomation depth — how much of the product can run unattendedAutomation depth3full8/10C

Have an external agent query metrics, logs, and traces through documented APIs to debug production C

Agent integration

ai-native userAi assist — stories about ai assist in this arenaAi assist3full8/10T

Have the platform's AI investigate an alert or error and propose a probable root cause C

Ai investigation

ai-native userAi assist — stories about ai assist in this arenaAi assist3full8/10C

Send telemetry directly over OTLP with first-class OpenTelemetry support C

Otel

developerOtel standards — stories about otel standards in this arenaOtel standards3full8/10C

Alert on any telemetry signal with routing, grouping, and silencing of notifications C

Alerting

sreAlerting slos — stories about alerting slos in this arenaAlerting slos3partial6/10C

Export all of my data in open formats and leave G

ai-native userOpenness — open source, data portability, and self-hosting storiesOpenness3partialfree6/10X

Analyze telemetry ad hoc with a documented query language C

Query language

developerQuery analytics — stories about query analytics in this arenaQuery analytics3partial5/10C

Collect metrics, logs, and traces in one platform and pivot between them with shared context C

Signals

sreTelemetry unified — stories about telemetry unified in this arenaTelemetry unified3partial5/10C

Self-host the core product G

ai-native userOpenness — open source, data portability, and self-hosting storiesOpenness3disputed5/10D

Define dashboards and alerts as code (JSON models, Terraform, or API) and provision them repeatably C

As code

developerDashboards as code — stories about dashboards as code in this arenaDashboards as code3none0/10

See what my observability spend is, attribute it to teams or services, and catch usage spikes before the bill C

Cost

sreCost sampling — stories about cost sampling in this arenaCost sampling3none0/10

Prevent my data from being used to train AI models G

ai-native userPrivacy posture — data-handling and privacy storiesPrivacy posture3noneuntestednone yet

See application errors grouped into issues with stack traces, release tracking, and regression detection C

Errors

developerQuery analytics — stories about query analytics in this arenaQuery analytics2full9/10X

Point alert notifications at webhooks that trigger automated remediation or agents G

Alert automation

ai-native userAlerting slos — stories about alerting slos in this arenaAlerting slos2full7/10T

Ask questions of my telemetry in natural language and get a real query or chart back C

Ai querying

ai-native userAi assist — stories about ai assist in this arenaAi assist2partial6/10T

Correlate regressions with deploys and configuration changes via release or change tracking C

Change tracking

developerIncident response — stories about incident response in this arenaIncident response2partial6/10C

Get AI-generated summaries of incidents and alert context for responders C

Ai investigation

ai-native userAi assist — stories about ai assist in this arenaAi assist2partial6/10C

Group and filter by high-cardinality fields (user id, request id) without pre-aggregating or defining indexes first C

Analysis

developerQuery analytics — stories about query analytics in this arenaQuery analytics2partial6/10C

Build shareable dashboards with rich visualization types and template variables C

Dashboards

sreDashboards as code — stories about dashboards as code in this arenaDashboards as code2partial5/10C

Instrument once with open standards and switch backends without re-instrumenting my code C

Otel

sreOtel standards — stories about otel standards in this arenaOtel standards2partial5/10C

Jump from a trace span to its correlated logs and metrics to debug a request end to end C

Correlation

developerTelemetry unified — stories about telemetry unified in this arenaTelemetry unified2partial5/10C

Read the product's source under an open license G

ai-native userOpenness — open source, data portability, and self-hosting storiesOpenness2disputed5/10D

Run the full observability stack self-hosted in production with documented architecture and upgrade path G

Self host

sreDeployment openness — stories about deployment openness in this arenaDeployment openness2disputed5/10D

Choose where my data is stored (region/residency) G

ai-native userPrivacy posture — data-handling and privacy storiesPrivacy posture2partial4/10C

Declare and track incidents with timelines, on-call schedules, and escalation policies C

Incidents

sreIncident response — stories about incident response in this arenaIncident response2partial4/10C

Do everything through the API that I can do in the UI G

ai-native userOpenness — open source, data portability, and self-hosting storiesOpenness2partial3/10T

Instrument hosts, containers, Kubernetes, and cloud services through vendor-maintained agents and integrations C

Instrumentation

sreTelemetry unified — stories about telemetry unified in this arenaTelemetry unified2partial3/10C

Perform bulk operations across many items at once G

ai-native userAutomation depth — how much of the product can run unattendedAutomation depth2partial3/10C

Control trace/log sampling and retention tiers to manage data volume deliberately C

Sampling

developerCost sampling — stories about cost sampling in this arenaCost sampling2none0/10

Define SLOs with error budgets and burn-rate alerts C

Slos

sreAlerting slos — stories about alerting slos in this arenaAlerting slos2none0/10

Schedule recurring jobs or workflows G

ai-native userAutomation depth — how much of the product can run unattendedAutomation depth2none0/10

Control data retention and deletion G

ai-native userPrivacy posture — data-handling and privacy storiesPrivacy posture2noneuntestednone yet

Opt out of telemetry and usage tracking G

ai-native userPrivacy posture — data-handling and privacy storiesPrivacy posture2noneuntestednone yet

Spin up a local or dev instance of the platform to test instrumentation and dashboards C

Local dev

developerDeployment openness — stories about deployment openness in this arenaDeployment openness1partial6/10X

Predict costs from transparent published per-signal pricing without talking to sales G

Cost

sreCost sampling — stories about cost sampling in this arenaCost sampling1partial4/10C

Enable anomaly or outlier detection that surfaces problems without hand-written thresholds C

Alerting

sreAlerting slos — stories about alerting slos in this arenaAlerting slos1none0/10

Version, review, and roll back my automations G

ai-native userAutomation depth — how much of the product can run unattendedAutomation depth1none0/10

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.

  1. 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.

  2. 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.

  3. 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.

  4. 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.

  5. 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.

  6. 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.

  7. 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.

  8. 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

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
proves: Use an official CLIrecorded 2026-09-05
$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 contradictedintegrity 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)
Unverified (10)
Contradicted (4)
Undersold (20)
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 ↗
Suggest a story for these →

Business model

open-sourcefree-tiersubscription-flatusage-based

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.

PA Score33 (Sep 5 '26)35 (Sep 15 '26)
Agent-ready47 (Sep 5 '26)49 (Sep 15 '26)

Try Experimental

Run it in the microterminal →

Recorded agent sessions — and a live MCP handshake where the vendor ships one.

Flag

⚑ Flag a verdict

Think a verdict is wrong? Opens a prefilled GitHub issue — or use the ⚑ next to any verdict above.

Badge

Embed this product's score badge →

Hotlinked SVG — always shows the live current score.

For agents

Data

Agent surface uptime MCP 100% · llms.txt 100% (30d, checked every 6h since Sep 8 '26)