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Rank #2 of 6 in Error Tracking

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Honeybadger

Built-in AI assistant

Honeybadger Industries LLC · commercial

honeybadger.io ↗Try it →
PA Score29/100AGENT-READY59/100BUILT-IN AI29/100API0/100
MCP✓CLI✓API✓
npm 90.3k/wk
ArenasError Tracking#2/6

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Open app ↗API docs ↗CLI docs ↗MCP docs ↗

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Try itExperimental

See what an agent can do with Honeybadger 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); 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).

$curl -s https://app.honeybadger.io/v2/projects # the documented Data API, keyless → access deniedrecorded session — replayed, not live
recorded 2026-09-14 · exit 0 · captured verbatim by our probe harness, secrets redacted · pure-HTTP probe — ▶ run live re-runs it from our edge

Verified 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

39.8/100

Ai debugging — stories about ai debugging in this arenaAi debuggingevidence →

Stories about ai debugging in this arena

14.4/100

Alerting noise — stories about alerting noise in this arenaAlerting noiseevidence →

Stories about alerting noise in this arena

31.2/100

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

How much of the product can run unattended

31.2/100

Data scrubbing — stories about data scrubbing in this arenaData scrubbingevidence →

Stories about data scrubbing in this arena

0.0/100

Error data access — stories about error data access in this arenaError data accessevidence →

Stories about error data access in this arena

42.3/100

Grouping triage — stories about grouping triage in this arenaGrouping triageevidence →

Stories about grouping triage in this arena

51.4/100

Impact analytics — stories about impact analytics in this arenaImpact analyticsevidence →

Stories about impact analytics in this arena

0.0/100

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

Open source, data portability, and self-hosting stories

11.4/100

Privacy posture — data-handling and privacy storiesPrivacy postureevidence →

Data-handling and privacy stories

0.0/100

Quotas cost — stories about quotas cost in this arenaQuotas costevidence →

Stories about quotas cost in this arena

0.0/100

Releases regressions — stories about releases regressions in this arenaReleases regressionsevidence →

Stories about releases regressions in this arena

21.4/100

Sdk instrumentation — stories about sdk instrumentation in this arenaSdk instrumentationevidence →

Stories about sdk instrumentation in this arena

22.3/100

Search analytics — stories about search analytics in this arenaSearch analyticsevidence →

Stories about search analytics in this arena

58.0/100

Sourcemaps symbolication — stories about sourcemaps symbolication in this arenaSourcemaps symbolicationevidence →

Stories about sourcemaps symbolication in this arena

21.6/100

Workflow integrations — stories about workflow integrations in this arenaWorkflow integrationsevidence →

Stories about workflow integrations in this arena

12.0/100

Story verdicts — every judged story with its evidenceStory verdicts

What’s free: 0 free · 0 paid · 1 enterprise · 33 not stated in evidence

?

Sorted by importance (agentic first) (high → low) · 55/55 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 productAgenticness3full9/10T

Drive the product through a documented public API G

Agent access

ai-native userAgenticness — how well agents can access and operate the productAgenticness3full8/10T

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 productAgenticness3partial3/10C

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 productAgenticness3n/a0/10

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 productAgenticness2partial6/10T

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 productAgenticness2partial6/10T

Operate the product with natural-language commands G

Agentic features

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

Run the product headlessly / in CI for automation G

Agent access

ai-native userAgenticness — how well agents can access and operate the productAgenticness2full6/10T

Use an official CLI G

Agent access

ai-native userAgenticness — how well agents can access and operate the productAgenticness2full6/10T

Set up automations that run autonomously in the background G

Agentic features

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

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

Agent access

ai-native userAgenticness — how well agents can access and operate the productAgenticness2partial3/10T

Subscribe to events via webhooks G

Agent access

ai-native userAgenticness — how well agents can access and operate the productAgenticness2partial3/10C

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

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

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

developerGrouping triage — stories about grouping triage in this arenaGrouping triage3full8/10X

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 userError data access — stories about error data access in this arenaError data access3partial6/10T

Define rules that trigger actions automatically on events G

ai-native userAutomation depth — how much of the product can run unattendedAutomation depth3partial6/10C

Instrument my web frontend, backend services, and mobile apps with official SDKs that capture uncaught errors automatically C

Sdk coverage

developerSdk instrumentation — stories about sdk instrumentation in this arenaSdk instrumentation3partial6/10C

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

sreAlerting noise — stories about alerting noise in this arenaAlerting noise3partial6/10C

Upload JavaScript source maps from CI — via CLI or bundler plugin — so production stack traces show my original source, not minified frames C

Sourcemaps

developerSourcemaps symbolication — stories about sourcemaps symbolication in this arenaSourcemaps symbolication3partial6/10T

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

developerReleases regressions — stories about releases regressions in this arenaReleases regressions3partial5/10C

List, query, and update issues and fetch raw events through a documented REST API with scoped tokens C

Api access

developerError data access — stories about error data access in this arenaError data access3partial5/10C

Triage issues — assign an owner, resolve, ignore, or snooze — and the platform reopens a resolved issue automatically when it regresses C

Triage

sreGrouping triage — stories about grouping triage in this arenaGrouping triage3partial5/10C

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 userAi debugging — stories about ai debugging in this arenaAi debugging3partial4/10T

Export all of my data in open formats and leave G

ai-native userOpenness — open source, data portability, and self-hosting storiesOpenness3partialenterprise3/10C

Prevent my data from being used to train AI models G

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

Self-host the core product G

ai-native userOpenness — open source, data portability, and self-hosting storiesOpenness3noneuntestednone yet

Search and filter events across projects by tag, release, environment, and custom properties with a real query syntax C

Event search

developerSearch analytics — stories about search analytics in this arenaSearch analytics2full8/10C

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

developerError data access — stories about error data access in this arenaError data access2full7/10T

See error trends across projects and teams on dashboards — top regressions, new issues per release, volume over time C

Dashboards

engineering leaderSearch analytics — stories about search analytics in this arenaSearch analytics2partial6/10C

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

ai-native userOpenness — open source, data portability, and self-hosting storiesOpenness2partial5/10T

I get alerted when an error that was fixed comes back in a newer release, distinct from ordinary new-issue noise C

Regressions

sreReleases regressions — stories about releases regressions in this arenaReleases regressions2partial5/10C

Attach breadcrumbs, custom tags, and user context to every event so a stack trace arrives with the state that produced it C

Event context

developerSdk instrumentation — stories about sdk instrumentation in this arenaSdk instrumentation2partial4/10C

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

sreAlerting noise — stories about alerting noise in this arenaAlerting noise2partial4/10C

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

developerWorkflow integrations — stories about workflow integrations in this arenaWorkflow integrations2partial4/10C

Perform bulk operations across many items at once G

ai-native userAutomation depth — how much of the product can run unattendedAutomation depth2partial4/10C

Capture native mobile crashes — iOS, Android, NDK — with the device, OS, and app-version context needed to reproduce them C

Mobile crashes

developerSdk instrumentation — stories about sdk instrumentation in this arenaSdk instrumentation2none0/10

Control data retention and deletion G

ai-native userPrivacy posture — data-handling and privacy storiesPrivacy posture2none0/10

Schedule recurring jobs or workflows G

ai-native userAutomation depth — how much of the product can run unattendedAutomation depth2n/a0/10

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

developerWorkflow integrations — stories about workflow integrations in this arenaWorkflow integrations2none0/10

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 userAi debugging — stories about ai debugging in this arenaAi debugging2none0/10

Upload dSYM, ProGuard, and native debug symbols so mobile and native crashes symbolicate to real function names and lines C

Symbolication

developerSourcemaps symbolication — stories about sourcemaps symbolication in this arenaSourcemaps symbolication2none0/10

Watch release health — crash-free sessions and users, adoption per release — and compare a canary release against the last stable one C

Release health

sreReleases regressions — stories about releases regressions in this arenaReleases regressions2none0/10

Cap event quotas per project and set spend limits so an error storm burns a predictable budget, never a surprise invoice G

Quotas

engineering leaderQuotas cost — stories about quotas cost in this arenaQuotas cost2noneuntestednone yet

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

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

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

sreImpact analytics — stories about impact analytics in this arenaImpact analytics2noneuntestednone yet

Opt out of telemetry and usage tracking G

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

Read the product's source under an open license G

ai-native userOpenness — open source, data portability, and self-hosting storiesOpenness2noneuntestednone yet

Scrub PII from error events — server-side scrubbing rules plus SDK-level filtering — before sensitive payloads ever persist C

Pii scrubbing

sreData scrubbing — stories about data scrubbing in this arenaData scrubbing2noneuntestednone yet

Merge issues that are really the same bug and split ones the fingerprinter wrongly collapsed C

Triage

developerGrouping triage — stories about grouping triage in this arenaGrouping triage1partial5/10C

Collect user feedback — a crash-report dialog or feedback widget — attached to the exact error event the user hit C

User feedback

developerImpact analytics — stories about impact analytics in this arenaImpact analytics1noneuntestednone yet

Version, review, and roll back my automations G

ai-native userAutomation depth — how much of the product can run unattendedAutomation depth1n/auntestednone yet

Opportunities — the stories that would move this product's scores, from its own judged verdictsOpportunitiestop 8 of 43 stories with headroom

What would move Honeybadger’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 productDelegate tasks to a built-in AI assistant inside the product

    partialq3/10moves Built-in AIimpact 31.5

    Missing: a general-purpose in-app AI assistant capable of multi-step task delegation, evidence of broader assistant capabilities beyond search-query generation, and independent/hands-on corroboration of this feature's usefulness.

  2. Openness — open source, data portability, and self-hosting storiesSelf-host the core product

    nonemoves PA Scoreimpact 30

    Honeybadger is presented as a hosted SaaS product (api.honeybadger.io) with no evidence of an open-source self-hosted core, on-premise deployment option, or Docker/self-host installation guide anywhere in the evidence pack.

  3. Privacy posture — data-handling and privacy storiesPrevent my data from being used to train AI models

    nonemoves PA Scoreimpact 30

    Missing: any privacy policy statement on AI training data usage, opt-out mechanism, or data processing terms addressing AI model training.

  4. Agenticness — how well agents can access and operate the productExplore an interactive API reference with runnable examples

    nonemoves API qualityimpact 30

    Docs describe static API endpoints (reporting-exceptions, faults, source maps) but there is no evidence of an interactive, runnable API reference/explorer; a probe explicitly found no OpenAPI/Swagger spec at any candidate URL (404s), indicating no such interactive documentation exists.

  5. Agenticness — how well agents can access and operate the productDownload a machine-readable API spec (OpenAPI or equivalent)

    nonemoves API qualityimpact 30

    Missing: an actual OpenAPI/Swagger JSON or YAML file, any documented spec download link, or generator tooling.

  6. Agenticness — how well agents can access and operate the productRely on versioned APIs with a documented deprecation policy

    nonemoves API qualityimpact 30

    Evidence shows a documented REST API (v1/notices, faults, source maps, deployments) but no mention of API versioning scheme or a deprecation policy; the openapi.json probe returned 404s, suggesting no formal API spec is published.

  7. Openness — open source, data portability, and self-hosting storiesExport all of my data in open formats and leave

    partialq3/10moves PA Scoreimpact 21

    Missing: dedicated full-account data export feature, documented open-format bulk export tool, evidence of complete data portability/leave workflow.

  8. Agenticness — how well agents can access and operate the productIssue scoped/least-privilege API credentials for an agent

    partialq3/10moves agent-readyimpact 21

    Missing: explicit scoped/least-privilege API key creation, granular permission levels for agent credentials, documentation of restricting MCP/agent access to specific resources.

Showing the top 8 of 43 — 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 map10 surfaces · 33 covered stories

Where the cited evidence behind each covered verdict came from — the same citations the verdicts table shows, no extra judging.

Guides docs22 stories

Resources docs11 stories

API reference11 stories

Changelog docs9 stories

_llms txt docs8 stories

Lib docs6 stories

OpenAPI spec4 stories

llms.txt1 story

Hacker News1 story

docs.honeybadger.io1 story

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://app.honeybadger.io/v2/projects # the documented Data API, keyless → access deniedreproduced
$ curl -s https://app.honeybadger.io/v2/projects  # the documented Data API, [redacted]less → access denied
{"errors":"Access denied"}
proves: List, query, and update issues and fetch raw events through a documented REST API with scoped tokensproves: Drive the product through a documented public APIrecorded 2026-09-14
$curl -si -X POST https://mcp.honeybadger.io/mcp -H 'Content-Type: application/json' -d '<jsonrpc initialize>' # Honeybadger's hosted MCP server, keyless → OAuth challengereproduced
$ curl -si -X POST https://mcp.honeybadger.io/mcp -H 'Content-Type: application/json' -d '<jsonrpc initialize>'  # Honeybadger's hosted MCP server, [redacted]less → OAuth challenge
HTTP/2 401

www-authenticate: Bearer resource_metadata="https://mcp.honeybadger.io/.well-known/oauth-protected-resource/mcp"
proves: Connect an agent via an official MCP serverproves: An agent can pull my top production issues with stack traces via API or MCP, triage them, and file the real bugs into my trackerrecorded 2026-09-14

Claims vs evidence — vendor claims reconciled against independent verdictsClaims vs evidence

8 of 17 testable claims verified · 1 contradicted → integrity 35/100

25 distinct capability claims found in Honeybadger’s own claimed-docs/GitHub materials, reconciled against our judge’s independent verdicts.

8

Verified

8

Unverified

1

Contradicted

17

Undersold

Verified (11)
Unverified (12)
Contradicted (1)
Undersold (17)
Claims outside our story set (1)

Real capability claims found in Honeybadger’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.

  • “Supports SAML assertion attributes to map existing roles/teams into a Honeybadger project”

    source ↗
Suggest a story for these →

Business model

free-tiersubscription-flatenterprise-custom

Developer plan is free forever; Team is $26/mo and Business $80/mo; the top tier adds enterprise security and compliance.

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 Score27 (Sep 14 '26)29 (Sep 16 '26)
Agent-ready51 (Sep 14 '26)59 (Sep 16 '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

This page as markdown/llms.txt

Data

Evidence (JSON)Verdicts (JSON)