GlitchTip vs Raygun

Agent access

1. ai-native userPoint an agent at llms.txt or agent-oriented docs

   weight 2 · round drawn
   GlitchTip—none0/10

   Direct probes confirm llms.txt (404) and machine-readable docs/openapi endpoints (404) are absent; while GlitchTip has an MCP server, there is no evidence of an llms.txt file or agent-oriented documentation format that an agent could be pointed at.

   • [probe] “PROBE llms.txt: HTTP 404 at https://glitchtip.com/llms.txt”
   • [probe] “PROBE docs-md: HTTP 404 at https://glitchtip.com/documentation.md”
   • [probe] “PROBE openapi: all candidate paths 404 (https://glitchtip.com/openapi.json, https://glitchtip.com/swagger.json, https://glitchtip.com/api/op…”

   proof ↗⚑ flag

   Raygun—none0/10

   A direct probe confirms llms.txt returns 404, and no evidence mentions agent-oriented documentation formats for Raygun; the only agent-related evidence is an MCP server, which is a separate axis.

   • [probe] “PROBE llms.txt: HTTP 404 at https://raygun.com/llms.txt”

   proof ↗⚑ flag

2. ai-native userRun the product headlessly / in CI for automation

   weight 2 · round to GlitchTip
   GlitchTip✓fullprobed7/10

   GlitchTip ships an official CLI (glitchtip-cli) with commands for login, creating releases, recording deployments, and uploading debug files/source maps — all standard headless CI automation tasks (e.g. glitchtip-cli releases new 1.0.0 --org --project, glitchtip-cli deploys new). This directly supports scripted/CI use even though it's framed as error-tracking tooling rather than an agent runtime. Missing for 10: explicit CI/CD pipeline examples (e.g. GitHub Actions/GitLab CI snippets), independent community confirmation of CI usage, and no evidence of a broader headless server/automation mode beyond the CLI.

   • [claimed-docs] “glitchtip-cli releases new 1.0.0 --org my-org --project my-project”
   • [claimed-docs] “Record deployments for a release: glitchtip-cli deploys new 1.0.0 --env production --org my-org --project my-project”
   • [claimed-docs] “Upload debug symbols for native applications (dSYM, PDB, ELF): glitchtip-cli debug-files upload ./build --org my-org --project my-project”
   • [claimed-docs] “Log in to your GlitchTip instance: glitchtip-cli --url https://your-glitchtip.example.com login”
   • [probe] “official CLI documented at https://glitchtip.com/documentation/cli”

   proof ↗⚑ flag

   Raygun~partialprobed4/10

   Raygun exposes an external access token used by CI/CD pipelines for the Deployments API, dSYM/ProGuard/JS source map uploads, which supports some headless automation in build pipelines, and an export API for CSV data. However there is no documented CLI, no evidence of a general headless SDK/runner for CI-based testing, and API/OpenAPI probes returned 404s. missing for 10: dedicated CLI or SDK for full headless CI operation, documented API reference beyond token-based uploads, independent evidence of CI usage.

   • [claimed-docs] “You'll need your external access token for the following services: Deployments API, Sending dSYMS to Raygun, Uploading ProGuard mapping file…”
   • [claimed-docs] “You'll need your external access token for the following services:”
   • [claimed-docs] “The Raygun Crash Reporting export feature allows customers to export all error groups or selected errors groups from within the Crash Report…”
   • [probe] “PROBE openapi: all candidate paths 404 (https://raygun.com/openapi.json, https://raygun.com/swagger.json, https://raygun.com/api/openapi.jso…”

   proof ↗⚑ flag

3. ai-native userPlug MCP servers into this product so it can use their tools

   weight 3 · round drawn
   GlitchTip—none0/10

   Evidence shows GlitchTip exposes its own built-in MCP server so external AI assistants can pull GlitchTip data (server role), but there is no evidence GlitchTip itself can consume/plug in external MCP servers to use their tools (client role), which is what this story requires.

   • [claimed-docs] “GlitchTip has a built-in MCP server so you can pull your own error data into your preferred AI tools with no data sharing required.”
   • [claimed-docs] “GlitchTip includes a built-in MCP server that allows AI assistants to interact with your error tracking, performance, and log data.”
   • [probe] “official MCP server documented at https://glitchtip.com/documentation/mcp”

   proof ↗⚑ flag

   Raygun—none0/10

   Evidence only shows Raygun publishing its own MCP server (raygun-probe-3) so external agents can call Raygun's tools — the reverse of what this story asks (Raygun consuming external MCP servers as a client). No documentation or product feature shows Raygun's AI Resolution chat or any other component accepting/plugging in third-party MCP servers.

   • [probe] “official MCP server documented at https://github.com/MindscapeHQ/mcp-server-raygun”
   • [claimed-docs] “You can chat with this tool collaboratively. Typing indicators are shown whenever teammates are typing, so it's always clear who is using th…”

   proof ↗⚑ flag

4. ai-native userConnect an agent via an official MCP server

   weight 3 · round to GlitchTip
   GlitchTip✓fullprobed8/10

   GlitchTip documents a built-in, official MCP server enabling AI assistants to interact with error tracking, performance, and log data, with specific tools like investigating errors and detecting N+1 queries. This is first-party documented and confirmed by a dedicated docs page and probe. Missing for 10: independent/hands-on community corroboration of the MCP server working in practice, and more detail on setup/authentication.

   • [claimed-docs] “GlitchTip has a built-in MCP server so you can pull your own error data into your preferred AI tools with no data sharing required.”
   • [claimed-docs] “Investigate errors — Browse issues, inspect stack traces and event data, and resolve issues”
   • [claimed-docs] “GlitchTip includes a built-in MCP server that allows AI assistants to interact with your error tracking, performance, and log data.”
   • [claimed-docs] “detect_n_plus_one — Detect N+1 query patterns across transactions (requires DuckDB)”
   • [probe] “official MCP server documented at https://glitchtip.com/documentation/mcp”

   proof ↗⚑ flag

   Raygun~partialprobed5/10

   There is evidence of an official MCP server repo (MindscapeHQ/mcp-server-raygun) enabling agent connection, but no first-party documentation, setup guide, or independent corroboration confirming its official status or maturity. Missing for 10: first-party docs referencing the MCP server, usage/setup documentation, independent hands-on validation.

   • [probe] “official MCP server documented at https://github.com/MindscapeHQ/mcp-server-raygun”

   proof ↗⚑ flag

5. ai-native userUse an official CLI

   weight 2 · round to GlitchTip
   GlitchTip~partialprobed6/10

   GlitchTip ships an official glitchtip-cli with documented commands for login, releases, deployments, and debug-file uploads, confirmed by dedicated CLI docs and a probe. However, it's explicitly framed around release/source-map management rather than general agentic/AI-native workflows, and the CLI itself is separate from the MCP server (the AI-facing feature); no independent hands-on reviews of the CLI were found. Missing for 10: independent/community verification of the CLI's reliability, evidence of AI-native or agentic use cases for the CLI specifically, and confirmation it's out of beta.

   • [claimed-docs] “glitchtip-cli releases new 1.0.0 --org my-org --project my-project”
   • [claimed-docs] “Record deployments for a release: glitchtip-cli deploys new 1.0.0 --env production --org my-org --project my-project”
   • [claimed-docs] “Upload debug symbols for native applications (dSYM, PDB, ELF): glitchtip-cli debug-files upload ./build --org my-org --project my-project”
   • [claimed-docs] “Log in to your GlitchTip instance: glitchtip-cli --url https://your-glitchtip.example.com login”
   • [probe] “official CLI documented at https://glitchtip.com/documentation/cli”
   • [claimed-docs] “For JavaScript projects, upload source maps to get readable stack traces. Use the GlitchTip CLI (Beta) to inject debug IDs and upload source…”

   proof ↗⚑ flag

   Raygun—none0/10

   No evidence of an official Raygun CLI tool for AI-native workflows; docs only mention API tokens, dashboard exports, and integrations, and probes show no CLI or openapi/llms.txt artifacts confirming CLI presence.

   ⚑ flag

6. ai-native userDrive the product through a documented public API

   weight 3 · round to GlitchTip
   GlitchTip~partialprobed5/10

   GlitchTip claims Sentry API compatibility (docs-11) and ships a documented CLI (docs-5,21,22,27) and an MCP server explicitly built for AI assistants to query error/performance/log data (docs-9,10,19,20), all supporting programmatic/AI-driven access. However, probes found no discoverable OpenAPI/Swagger spec or public API reference (probe-3), and no llms.txt (probe-1), so the actual 'documented public API' surface is thin and inferred mainly from SDK/CLI/MCP docs rather than a first-class API reference. Missing for 10: an explicit REST/GraphQL API reference doc, independent/community confirmation of API-driven automation, and resolution of the 404s on OpenAPI/swagger endpoints.

   • [claimed-docs] “GlitchTip aims to be Sentry API compatible. Anything that works with Sentry should also work with GlitchTip.”
   • [claimed-docs] “glitchtip-cli releases new 1.0.0 --org my-org --project my-project”
   • [claimed-docs] “GlitchTip has a built-in MCP server so you can pull your own error data into your preferred AI tools with no data sharing required.”
   • [claimed-docs] “GlitchTip includes a built-in MCP server that allows AI assistants to interact with your error tracking, performance, and log data.”
   • [claimed-docs] “detect_n_plus_one — Detect N+1 query patterns across transactions (requires DuckDB)”
   • [probe] “PROBE openapi: all candidate paths 404 (https://glitchtip.com/openapi.json, https://glitchtip.com/swagger.json, https://glitchtip.com/api/op…”
   • [probe] “official MCP server documented at https://glitchtip.com/documentation/mcp”
   • [probe] “official CLI documented at https://glitchtip.com/documentation/cli”

   proof ↗⚑ flag

   Raygun~partialprobed4/10

   Raygun docs reference a public API (Deployments API, JS source-map upload API, external access tokens for various services) implying programmatic access exists, and a third-party MCP server exists for tool integration. However, no dedicated API reference or OpenAPI/Swagger spec was found (probes for openapi.json/llms.txt returned 404s), so the API's documentation depth for AI-native automation is unclear. Missing for 10: a full public API reference/spec, first-party API docs page, and confirmation of comprehensive endpoint coverage beyond token-based uploads.

   • [claimed-docs] “You'll need your external access token for the following services: Deployments API, Sending dSYMS to Raygun, Uploading ProGuard mapping file…”
   • [claimed-docs] “If the automatic option does not work for your application you can also manually upload source maps either through our website using the `JS…”
   • [probe] “PROBE openapi: all candidate paths 404 (https://raygun.com/openapi.json, https://raygun.com/swagger.json, https://raygun.com/api/openapi.jso…”
   • [probe] “official MCP server documented at https://github.com/MindscapeHQ/mcp-server-raygun”

   proof ↗⚑ flag

7. ai-native userIssue scoped/least-privilege API credentials for an agent

   weight 2 · round drawn
   GlitchTip—none0/10

   GlitchTip documents an MCP server and CLI with login/org/project scoping, but there is no evidence of scoped or least-privilege API credential/token issuance specifically for agent use (e.g., read-only or capability-limited tokens for MCP/CLI); docs only describe org/project selection and general auth, not credential scoping. Missing for 10: documentation of granular/least-privilege API key or token scopes, any agent-specific credential model, or admin controls to restrict an agent's access.

   • [claimed-docs] “GlitchTip includes a built-in MCP server that allows AI assistants to interact with your error tracking, performance, and log data.”
   • [claimed-docs] “Log in to your GlitchTip instance: glitchtip-cli --url https://your-glitchtip.example.com login”
   • [probe] “official MCP server documented at https://glitchtip.com/documentation/mcp”
   • [probe] “official CLI documented at https://glitchtip.com/documentation/cli”

   proof ↗⚑ flag

   Raygun—none0/10

   Raygun documents a single 'external access token' for various API uses (raygun-docs-8, raygun-docs-23) but no evidence of scoped, least-privilege, or agent-specific API credentials/roles. No mention of granular permission scopes for the MCP server (raygun-probe-3) or API keys either.

   • [claimed-docs] “You'll need your external access token for the following services: Deployments API, Sending dSYMS to Raygun, Uploading ProGuard mapping file…”
   • [claimed-docs] “You'll need your external access token for the following services:”
   • [probe] “official MCP server documented at https://github.com/MindscapeHQ/mcp-server-raygun”

   proof ↗⚑ flag

8. ai-native userBuild against official SDKs

   weight 2 · round to GlitchTip
   GlitchTip✓fullcommunity7/10

   GlitchTip officially documents that it works with Sentry's open-source SDKs and aims for full Sentry API compatibility, meaning developers build against the same official, widely-used SDK ecosystem; this is corroborated by community users who confirm reliable use of Sentry client libraries with GlitchTip in production. Missing for 10: GlitchTip-specific SDK documentation/language coverage list, and no independent verification of parity across all Sentry SDK versions/features.

   • [claimed-docs] “GlitchTip can use Sentry's open source SDKs to receive error data from your application.”
   • [claimed-docs] “GlitchTip aims to be Sentry API compatible. Anything that works with Sentry should also work with GlitchTip.”
   • [community] “I use GlitchTip — it works well! A bit hard to deploy (many moving parts) but that's more a problem with F/OSS Sentry. It's been nice being …”
   • [community] “Hey Glitchtip! Been a happy user for going on a year or so. Super easy to self-host, and because it uses the existing sentry libs it's reall…”

   proof ↗⚑ flag

   Raygun~partialcommunity4/10

   Evidence shows Raygun has language-specific integrations (JavaScript source maps, .NET client per community reports) and an external API access token for various services, implying SDKs exist, but there is no dedicated, comprehensive official SDK documentation set, package repository links, or coverage across multiple languages presented in the evidence pack. Missing for 10: explicit official SDK reference docs, GitHub/npm/nuget package listings, multi-language coverage details, and independent verification of SDK completeness.

   • [claimed-docs] “If your source maps are publicly available on your website Raygun will fetch them automatically without you having to do anything.”
   • [claimed-docs] “If the automatic option does not work for your application you can also manually upload source maps either through our website using the `JS…”
   • [claimed-docs] “You'll need your external access token for the following services: Deployments API, Sending dSYMS to Raygun, Uploading ProGuard mapping file…”
   • [community] “I've been using the product since Alpha, needless to say I love it... Their .NET support is awesome... WinRT support is GREAT! Picked up a f…”

   proof ↗⚑ flag

9. ai-native userSubscribe to events via webhooks

   weight 2 · round to GlitchTip
   GlitchTip~partialclaimed6/10

   GlitchTip lets users add a webhook URL as an alert recipient so external systems can be notified of new errors/downtime pings, which satisfies the basic 'subscribe via webhook' capability. However, documentation is thin—no payload schema, event-type filtering, retry/delivery guarantees, or independent/hands-on confirmation of webhook use are provided. Missing for 10: webhook payload format documentation, granular event-type subscription options, delivery reliability details, and community corroboration of webhook usage.

   • [claimed-docs] “By default, new project alerts send emails to a project's team members, but you can also add a webhook URL by clicking “Add An Alert Recipie…”
   • [claimed-docs] “GlitchTip can ping your site and warn you when it's not responding. ... If GlitchTip doesn't receive your ping, it will send you an alert vi…”
   • [claimed-docs] “GlitchTip can ping your site and warn you when it's not responding. Or reverse it and send GlitchTip a request on schedule.”

   proof ↗⚑ flag

   Raygun—none0/10

   Raygun's evidence shows integrations with Slack and PagerDuty for alerting (raygun-docs-16, raygun-docs-17), but there is no documentation of a general-purpose webhook subscription mechanism that would let an AI-native user programmatically subscribe to events. No API/webhook docs, no OpenAPI spec (raygun-probe-2 shows 404s), and no llms.txt (raygun-probe-1) to indicate agent-friendly event subscription.

   • [claimed-docs] “Select the Slack channel you would like APM trace messages to be sent to and click "Authorize".”
   • [claimed-docs] “Now when an issue is triggered from this rule, a PagerDuty incident will be created and your incident team will be notified by PagerDuty.”
   • [probe] “PROBE llms.txt: HTTP 404 at https://raygun.com/llms.txt”
   • [probe] “PROBE openapi: all candidate paths 404 (https://raygun.com/openapi.json, https://raygun.com/swagger.json, https://raygun.com/api/openapi.jso…”

   proof ↗⚑ flag

Agentic features

1. ai-native userGet AI-generated insights and suggestions from my data inside the product

   weight 2 · round to Raygun
   GlitchTip~partialclaimed5/10

   GlitchTip's built-in MCP server lets external AI assistants query error, performance, and log data and includes analysis tools like detect_n_plus_one for pattern detection, which can surface AI-generated insights from the data. However, this is enabling external AI tools to analyze data rather than the product itself generating insights or suggestions natively inside its own UI. Missing for 10: in-product AI insight/summary generation, evidence of natively surfaced suggestions (e.g., root-cause hints) within the GlitchTip dashboard itself, and independent confirmation of MCP-driven insight quality.

   • [claimed-docs] “GlitchTip has a built-in MCP server so you can pull your own error data into your preferred AI tools with no data sharing required.”
   • [claimed-docs] “GlitchTip includes a built-in MCP server that allows AI assistants to interact with your error tracking, performance, and log data.”
   • [claimed-docs] “detect_n_plus_one — Detect N+1 query patterns across transactions (requires DuckDB)”
   • [claimed-docs] “Investigate errors — Browse issues, inspect stack traces and event data, and resolve issues”

   proof ↗⚑ flag

   Raygun~partialclaimed6/10

   Raygun's AI Resolution feature (raygun-docs-4, raygun-docs-5, raygun-docs-27) provides AI-powered suggestions on root cause and fixes for errors directly inside the crash reporting product, powered by OpenAI/Azure OpenAI. However, this is scoped narrowly to crash/error resolution rather than broad AI-generated insights across all data (APM, RUM, etc.), and there's no independent/hands-on corroboration of its effectiveness. Missing for 10: evidence of AI insights across other Raygun modules (APM, RUM), independent user validation of AI suggestion quality.

   • [claimed-docs] “Resolve issues with unprecedented speed and accuracy using AI-powered suggestions on the root cause of errors and how to fix them.”
   • [claimed-docs] “You can chat with this tool collaboratively. Typing indicators are shown whenever teammates are typing, so it's always clear who is using th…”
   • [claimed-docs] “This feature allows you to identify and tackle errors swiftly with just a click, using advanced AI technology powered by OpenAI and Azure Op…”

   proof ↗⚑ flag

2. ai-native userSet up automations that run autonomously in the background

   weight 2 · round drawn
   GlitchTip—none0/10

   GlitchTip's automation is limited to built-in alerting (email/webhook on errors, uptime pings) and its MCP server is described only as a way to 'investigate' and query error data, not to configure or run autonomous background workflows on behalf of an AI agent. There is no evidence of an AI-driven automation/workflow builder or scheduled agentic tasks that a user could set up.

   • [claimed-docs] “GlitchTip can ping your site and warn you when it's not responding. ... If GlitchTip doesn't receive your ping, it will send you an alert vi…”
   • [claimed-docs] “GlitchTip can ping your site and warn you when it's not responding. Or reverse it and send GlitchTip a request on schedule.”
   • [claimed-docs] “GlitchTip includes a built-in MCP server that allows AI assistants to interact with your error tracking, performance, and log data.”
   • [claimed-docs] “Investigate errors — Browse issues, inspect stack traces and event data, and resolve issues”

   proof ↗⚑ flag

   Raygun—none0/10

   Raygun is a monitoring/error-tracking product with alerting rules (ignore conditions, notification integrations) and an AI-assisted resolution chat, but there is no evidence of autonomous background automations/agents that run tasks independently—AI resolution appears to be an interactive chat tool, not an autonomous agent. Missing for 10: evidence of scheduled/triggered autonomous workflows, agentic task execution without human prompting, or any 'automation' feature beyond notification rules.

   • [claimed-docs] “Resolve issues with unprecedented speed and accuracy using AI-powered suggestions on the root cause of errors and how to fix them.”
   • [claimed-docs] “You can chat with this tool collaboratively. Typing indicators are shown whenever teammates are typing, so it's always clear who is using th…”
   • [claimed-docs] “This feature allows you to identify and tackle errors swiftly with just a click, using advanced AI technology powered by OpenAI and Azure Op…”
   • [claimed-docs] “We provide three types of conditions: Ignore for a specific time period ... Ignore for a specific number of occurrences ... Ignore by rule”
   • [claimed-docs] “Now when an issue is triggered from this rule, a PagerDuty incident will be created and your incident team will be notified by PagerDuty.”

   proof ↗⚑ flag

3. ai-native userDelegate tasks to a built-in AI assistant inside the product

   weight 3 · round to Raygun
   GlitchTip—none0/10

   GlitchTip ships an MCP server so external AI tools/assistants can query its error data, but there is no evidence of a built-in AI assistant inside the product itself that a user could delegate tasks to — the direction is reversed (external AI pulls from GlitchTip, not GlitchTip offering its own assistant).

   • [claimed-docs] “GlitchTip has a built-in MCP server so you can pull your own error data into your preferred AI tools with no data sharing required.”
   • [claimed-docs] “GlitchTip includes a built-in MCP server that allows AI assistants to interact with your error tracking, performance, and log data.”
   • [claimed-docs] “Investigate errors — Browse issues, inspect stack traces and event data, and resolve issues”

   proof ↗⚑ flag

   Raygun~partialclaimed6/10

   Raygun ships a built-in 'AI Resolution' chat assistant (powered by OpenAI/Azure OpenAI) that users can converse with to diagnose root causes and get fix suggestions for crash errors, with collaborative chat and comment-linking features. However, this AI delegation is scoped narrowly to crash/error resolution rather than general task delegation across the product, and there's no independent/hands-on verification of its effectiveness. Missing for 10: evidence of AI assistant use beyond crash resolution (e.g., APM, RUM), independent user reports validating its usefulness.

   • [claimed-docs] “Resolve issues with unprecedented speed and accuracy using AI-powered suggestions on the root cause of errors and how to fix them.”
   • [claimed-docs] “You can chat with this tool collaboratively. Typing indicators are shown whenever teammates are typing, so it's always clear who is using th…”
   • [claimed-docs] “Simply press the comment button in the AI chat, and it will create a link back to your conversation to be posted into the comments section.”
   • [claimed-docs] “This feature allows you to identify and tackle errors swiftly with just a click, using advanced AI technology powered by OpenAI and Azure Op…”

   proof ↗⚑ flag

4. ai-native userOperate the product with natural-language commands

   weight 2 · round to GlitchTip
   GlitchTip~partialprobed6/10

   GlitchTip ships a built-in MCP server that lets AI assistants browse issues, inspect stack traces/event data, resolve issues, and even detect N+1 query patterns, enabling natural-language interaction via connected AI tools rather than the raw UI. However, this is entirely first-party documentation with no independent/hands-on confirmation, and the documented scope is limited to investigation/read-type operations rather than full product control via NL. Missing for 10: independent verification of the MCP server working in practice, evidence of broader write/config operations (alerts, settings) via natural language, and any non-vendor usage reports.

   • [claimed-docs] “GlitchTip has a built-in MCP server so you can pull your own error data into your preferred AI tools with no data sharing required.”
   • [claimed-docs] “Investigate errors — Browse issues, inspect stack traces and event data, and resolve issues”
   • [claimed-docs] “GlitchTip includes a built-in MCP server that allows AI assistants to interact with your error tracking, performance, and log data.”
   • [claimed-docs] “detect_n_plus_one — Detect N+1 query patterns across transactions (requires DuckDB)”
   • [probe] “official MCP server documented at https://glitchtip.com/documentation/mcp”

   proof ↗⚑ flag

   Raygun~partialprobed4/10

   Raygun ships an official MCP server (raygun-probe-3) which would let AI agents interact with Raygun data via natural-language-driven tool calls, and it has an AI chat feature for error resolution (raygun-docs-4/5/27) where users converse in natural language about a specific error. However, there is no evidence of natural-language commands for broader product operation (e.g., managing settings, triaging errors, running queries) beyond this narrow AI-resolution chat and the MCP server's undocumented scope. Missing for 10: documented list of MCP tools/actions, evidence of natural-language control over core workflows (search, filtering, ignoring, exporting), and any independent/hands-on confirmation.

   • [claimed-docs] “Resolve issues with unprecedented speed and accuracy using AI-powered suggestions on the root cause of errors and how to fix them.”
   • [claimed-docs] “You can chat with this tool collaboratively. Typing indicators are shown whenever teammates are typing, so it's always clear who is using th…”
   • [claimed-docs] “This feature allows you to identify and tackle errors swiftly with just a click, using advanced AI technology powered by OpenAI and Azure Op…”
   • [probe] “official MCP server documented at https://github.com/MindscapeHQ/mcp-server-raygun”

   proof ↗⚑ flag

Api quality

1. ai-native userExplore an interactive API reference with runnable examples

   weight 2 · round drawn
   GlitchTip—none0/10

   There is no evidence of an interactive API reference or runnable examples; probes explicitly show 404s for OpenAPI/swagger specs and no docs-as-markdown or llms.txt, and no mention of a sandboxed/try-it-out API explorer.

   • [probe] “PROBE openapi: all candidate paths 404 (https://glitchtip.com/openapi.json, https://glitchtip.com/swagger.json, https://glitchtip.com/api/op…”
   • [probe] “PROBE llms.txt: HTTP 404 at https://glitchtip.com/llms.txt”
   • [probe] “PROBE docs-md: HTTP 404 at https://glitchtip.com/documentation.md”

   proof ↗⚑ flag

   Raygun—none0/10

   No evidence of an interactive API reference or runnable examples; probes explicitly show no OpenAPI/swagger spec is exposed and no llms.txt, and none of the docs mention an interactive/try-it API console. Missing for 10: interactive API explorer UI, runnable code examples, OpenAPI/swagger spec.

   • [probe] “PROBE llms.txt: HTTP 404 at https://raygun.com/llms.txt”
   • [probe] “PROBE openapi: all candidate paths 404 (https://raygun.com/openapi.json, https://raygun.com/swagger.json, https://raygun.com/api/openapi.jso…”

   proof ↗⚑ flag

2. ai-native userDownload a machine-readable API spec (OpenAPI or equivalent)

   weight 2 · round drawn
   GlitchTip—none0/10

   No evidence GlitchTip publishes an OpenAPI/Swagger spec; direct probes for openapi.json, swagger.json, and related paths all returned 404. Claims of 'Sentry API compatibility' do not constitute a machine-readable spec for GlitchTip itself.

   • [probe] “PROBE openapi: all candidate paths 404 (https://glitchtip.com/openapi.json, https://glitchtip.com/swagger.json, https://glitchtip.com/api/op…”
   • [claimed-docs] “GlitchTip aims to be Sentry API compatible. Anything that works with Sentry should also work with GlitchTip.”

   proof ↗⚑ flag

   Raygun—none0/10

   Direct probes for OpenAPI/swagger spec files all returned 404, and no documentation evidence references a downloadable machine-readable API spec; only an MCP server exists, which is a different capability.

   • [probe] “PROBE openapi: all candidate paths 404 (https://raygun.com/openapi.json, https://raygun.com/swagger.json, https://raygun.com/api/openapi.jso…”
   • [probe] “PROBE llms.txt: HTTP 404 at https://raygun.com/llms.txt”

   proof ↗⚑ flag

3. ai-native userRely on versioned APIs with a documented deprecation policy

   weight 2 · round drawn
   GlitchTip—none0/10

   No evidence of API versioning scheme or a documented deprecation policy; probes for OpenAPI spec and docs manifest all 404'd, and no changelog/policy text addresses API stability or deprecation windows.

   • [probe] “PROBE openapi: all candidate paths 404 (https://glitchtip.com/openapi.json, https://glitchtip.com/swagger.json, https://glitchtip.com/api/op…”
   • [probe] “PROBE llms.txt: HTTP 404 at https://glitchtip.com/llms.txt”
   • [probe] “PROBE docs-md: HTTP 404 at https://glitchtip.com/documentation.md”

   proof ↗⚑ flag

   Raygun—none0/10

   No evidence of API versioning scheme or a documented deprecation policy; probes for OpenAPI/spec files return 404s and no changelog entries discuss API versioning or deprecation.

   • [probe] “PROBE openapi: all candidate paths 404 (https://raygun.com/openapi.json, https://raygun.com/swagger.json, https://raygun.com/api/openapi.jso…”
   • [claimed-docs] “You'll need your external access token for the following services: Deployments API, Sending dSYMS to Raygun, Uploading ProGuard mapping file…”

   proof ↗⚑ flag

Autofix

1. ai-native userThe platform's AI can draft a code fix for an error and open a pull request against my repo for human review

   weight 2 · round drawn
   GlitchTip—none0/10

   GlitchTip's MCP server lets AI tools read error data (investigate issues, detect N+1 queries) but there is no evidence of AI drafting code fixes or opening pull requests against a repo; this is an error-tracking platform, not a code-fix automation tool.

   • [claimed-docs] “GlitchTip has a built-in MCP server so you can pull your own error data into your preferred AI tools with no data sharing required.”
   • [claimed-docs] “Investigate errors — Browse issues, inspect stack traces and event data, and resolve issues”
   • [claimed-docs] “GlitchTip includes a built-in MCP server that allows AI assistants to interact with your error tracking, performance, and log data.”
   • [claimed-docs] “detect_n_plus_one — Detect N+1 query patterns across transactions (requires DuckDB)”

   proof ↗⚑ flag

   Raygun—none0/10

   Raygun's AI Resolution feature only chats/suggests root-cause fixes within its dashboard (raygun-docs-4, raygun-docs-5, raygun-docs-27); there is no evidence it drafts code changes or opens a pull request against a connected repo despite repo integrations existing for source maps (raygun-docs-2).

   • [claimed-docs] “Resolve issues with unprecedented speed and accuracy using AI-powered suggestions on the root cause of errors and how to fix them.”
   • [claimed-docs] “You can chat with this tool collaboratively. Typing indicators are shown whenever teammates are typing, so it's always clear who is using th…”
   • [claimed-docs] “This feature allows you to identify and tackle errors swiftly with just a click, using advanced AI technology powered by OpenAI and Azure Op…”
   • [claimed-docs] “Connect to your repo through native integrations with GitHub, Bitbucket, and GitLab, with support for source map decoding.”

   proof ↗⚑ flag

Root cause

1. ai-native userThe platform's AI analyzes an issue — stack trace, breadcrumbs, related commits — and proposes a root cause I can act on

   weight 3 · round to Raygun
   GlitchTip~partialprobed3/10

   GlitchTip ships a built-in MCP server that exposes stack traces, issues, and event data (including an N+1 query detector) to external AI tools, enabling an AI assistant to investigate an issue — but there is no evidence of GlitchTip itself analyzing breadcrumbs plus related commits to propose an actionable root cause; that analysis would rely entirely on whatever third-party AI client is plugged in via MCP. Missing for 10: native root-cause synthesis combining commits/breadcrumbs/stack trace, any documented example of an AI-generated root-cause suggestion, and evidence of commit/VCS integration feeding the MCP tools.

   • [claimed-docs] “GlitchTip has a built-in MCP server so you can pull your own error data into your preferred AI tools with no data sharing required.”
   • [claimed-docs] “Investigate errors — Browse issues, inspect stack traces and event data, and resolve issues”
   • [claimed-docs] “GlitchTip includes a built-in MCP server that allows AI assistants to interact with your error tracking, performance, and log data.”
   • [claimed-docs] “detect_n_plus_one — Detect N+1 query patterns across transactions (requires DuckDB)”
   • [probe] “official MCP server documented at https://glitchtip.com/documentation/mcp”

   proof ↗⚑ flag

   Raygun~partialclaimed7/10

   Raygun's 'AI Resolution' feature explicitly uses AI (OpenAI/Azure OpenAI) to suggest root causes and fixes for errors, working from stack trace/class name/error data, and integrates with repos (GitHub/Bitbucket/GitLab) for source context, matching the core of this story. However, evidence doesn't explicitly confirm the AI ingests breadcrumbs or correlates specific commits as part of its reasoning, and there's no independent/hands-on validation of the suggestion quality. Missing for 10: explicit evidence of breadcrumb/commit-level correlation feeding the AI analysis, and independent corroboration of real-world root-cause accuracy.

   • [claimed-docs] “Resolve issues with unprecedented speed and accuracy using AI-powered suggestions on the root cause of errors and how to fix them.”
   • [claimed-docs] “This feature allows you to identify and tackle errors swiftly with just a click, using advanced AI technology powered by OpenAI and Azure Op…”
   • [claimed-docs] “You can chat with this tool collaboratively. Typing indicators are shown whenever teammates are typing, so it's always clear who is using th…”
   • [claimed-docs] “Connect to your repo through native integrations with GitHub, Bitbucket, and GitLab, with support for source map decoding.”
   • [claimed-docs] “see the full stack trace, environment, browser, version, class name, host, and more”

   proof ↗⚑ flag

Alert routing

1. sreRoute alerts by project, environment, and severity to Slack, PagerDuty, or email with per-rule thresholds — new issue, frequency spike, affected-user count

   weight 3 · round to Raygun
   GlitchTip~partialclaimed3/10

   GlitchTip supports project-level alert routing (via teams) and basic recipients (email by default, plus adding a webhook URL), which could technically forward to Slack/PagerDuty, but there is no documented support for environment- or severity-based routing, nor per-rule thresholds like frequency spikes or affected-user counts. Missing for 10: environment/severity-based routing rules, native Slack/PagerDuty integrations, configurable thresholds for new-issue/frequency-spike/affected-user-count alerts.

   • [claimed-docs] “When making a project, you will also need to create a team if you have not already done so. Teams are for making sure the right people get n…”
   • [claimed-docs] “By default, new project alerts send emails to a project's team members, but you can also add a webhook URL by clicking “Add An Alert Recipie…”
   • [claimed-docs] “Teams are for making sure the right people get notified when an error is reported.”

   proof ↗⚑ flag

   Raygun~partialclaimed5/10

   Raygun documents Slack and PagerDuty integrations tied to alert rules (raygun-docs-16, raygun-docs-17), and error grouping/prioritization by occurrence and affected users (raygun-docs-3, raygun-docs-7) supports frequency-spike and affected-user alerting concepts, but there's no evidence of unified rule configuration combining project, environment, and severity dimensions, no documented email routing, and no explicit per-rule threshold UI for new-issue vs frequency-spike vs affected-user-count conditions. missing for 10: documented per-rule threshold configuration (new issue, frequency spike, affected-user count) in one place, email alert routing, environment/severity-based routing logic, and independent confirmation of noise-reduction effectiveness.

   • [claimed-docs] “Select the Slack channel you would like APM trace messages to be sent to and click "Authorize".”
   • [claimed-docs] “Now when an issue is triggered from this rule, a PagerDuty incident will be created and your incident team will be notified by PagerDuty.”
   • [claimed-docs] “Order and prioritize errors based on users affected and the number of occurrences, and use smart filters to segment errors by date, location…”
   • [claimed-docs] “Raygun groups errors based on the `exception type`, `class name`, `method name`, and the location within the `stack trace`.”

   proof ↗⚑ flag

Noise control

1. sreFight 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

   weight 2 · round to Raygun
   GlitchTip—none0/10

   Evidence only shows basic alert routing (team notification emails/webhooks per project) and performance sampling via tracesSampleRate, but no mention of spike protection, per-key rate limiting, or mute/ignore/snooze rules for issues to combat alert fatigue.

   • [claimed-docs] “By default, new project alerts send emails to a project's team members, but you can also add a webhook URL by clicking “Add An Alert Recipie…”
   • [claimed-docs] “Teams are for making sure the right people get notified when an error is reported.”
   • [claimed-docs] “This rate can be set with the `tracesSampleRate` config option ... Set this to a low number like `0.01` to have your SDK send only 1 percent…”

   proof ↗⚑ flag

   Raygun~partialclaimed4/10

   Raygun offers ignore/mute rules (by time period, occurrence count, or custom rule) and PagerDuty/Slack alert integrations, which help reduce noise, but there's no evidence of spike protection or per-key rate limiting specifically designed to suppress alert floods during a bad deploy. missing for 10: spike/anomaly-based alert suppression, per-key or per-service rate limiting on alert volume, deploy-aware noise suppression, and any hands-on/independent confirmation these mute rules actually prevent night-long paging.

   • [claimed-docs] “We provide three types of conditions: Ignore for a specific time period ... Ignore for a specific number of occurrences ... Ignore by rule”
   • [claimed-docs] “When you ignore an error group you can specify the condition you would like the error group to be ignored for.”
   • [claimed-docs] “Error statuses provides a workflow for triaging and managing your error inbox in Crash Reporting.”
   • [claimed-docs] “Now when an issue is triggered from this rule, a PagerDuty incident will be created and your incident team will be notified by PagerDuty.”
   • [claimed-docs] “Select the Slack channel you would like APM trace messages to be sent to and click "Authorize".”

   proof ↗⚑ flag

1. ai-native userPerform bulk operations across many items at once

   weight 2 · round to Raygun
   GlitchTip—none0/10

   No evidence of bulk operations (e.g., bulk resolve/delete/tag issues across many items) via UI, CLI, API, or MCP server; the CLI and MCP tools described operate on single releases/projects/issues, not bulk batches.

   ⚑ flag

   Raygun~partialclaimed4/10

   Raygun's Crash Reporting export feature lets users export all or selected error groups at once, and 'ignore by rule' can suppress errors matching a condition across many occurrences, indicating some set-level operations exist. However, there's no evidence of AI-driven or programmatic bulk actions (e.g., bulk resolve, bulk tag, bulk delete via API/MCP) that an AI-native user could invoke across many items. missing for 10: bulk resolve/update actions, API or MCP-driven bulk operation examples, independent confirmation of bulk workflows at scale.

   • [claimed-docs] “The Raygun Crash Reporting export feature allows customers to export all error groups or selected errors groups from within the Crash Report…”
   • [claimed-docs] “We provide three types of conditions: Ignore for a specific time period ... Ignore for a specific number of occurrences ... Ignore by rule”
   • [claimed-docs] “When you ignore an error group you can specify the condition you would like the error group to be ignored for.”

   proof ↗⚑ flag

2. ai-native userDefine rules that trigger actions automatically on events

   weight 3 · round to Raygun
   GlitchTip~partialclaimed4/10

   GlitchTip supports basic event-triggered alerting: new-issue alerts default to emailing team members, but you can add webhook URLs as alert recipients, and uptime monitoring can also fire alerts via email/webhook when a ping fails. This is a simple automatic action-on-event mechanism, but there's no evidence of a broader rule engine (conditions, multi-step workflows, non-alert actions) beyond notify-via-email/webhook. Missing for 10: conditional rule builder, support for triggering arbitrary actions (not just notifications), evidence of chained/automated workflows, and independent confirmation of rule reliability.

   • [claimed-docs] “By default, new project alerts send emails to a project's team members, but you can also add a webhook URL by clicking “Add An Alert Recipie…”
   • [claimed-docs] “GlitchTip can ping your site and warn you when it's not responding. ... If GlitchTip doesn't receive your ping, it will send you an alert vi…”
   • [claimed-docs] “GlitchTip can ping your site and warn you when it's not responding. Or reverse it and send GlitchTip a request on schedule.”

   proof ↗⚑ flag

   Raygun~partialclaimed5/10

   Raygun supports rule-based triggers for alerting integrations — e.g. PagerDuty incidents created 'when an issue is triggered from this rule' and Slack channel notifications for APM traces — plus 'ignore by rule' conditions for error handling, showing some automated event-to-action capability. However, this is limited to notification/ignore rules rather than a general-purpose automation engine for arbitrary actions on arbitrary events. Missing for 10: evidence of a broader rule/condition engine (e.g. custom triggers, multi-step workflows, webhooks-as-actions beyond third-party integrations), and independent confirmation of reliability.

   • [claimed-docs] “Now when an issue is triggered from this rule, a PagerDuty incident will be created and your incident team will be notified by PagerDuty.”
   • [claimed-docs] “Select the Slack channel you would like APM trace messages to be sent to and click "Authorize".”
   • [claimed-docs] “We provide three types of conditions: Ignore for a specific time period ... Ignore for a specific number of occurrences ... Ignore by rule”
   • [claimed-docs] “When you ignore an error group you can specify the condition you would like the error group to be ignored for.”

   proof ↗⚑ flag

Pii scrubbing

1. sreScrub PII from error events — server-side scrubbing rules plus SDK-level filtering — before sensitive payloads ever persist

   weight 2 · round to Raygun
   GlitchTip—none0/10

   No evidence pack items mention PII scrubbing, server-side scrubbing rules, data-scrubbing configuration, or SDK-level before-send filtering for GlitchTip; the docs cover SDK integration, alerts, CLI, MCP, and performance tracing but never data privacy/scrubbing controls.

   ⚑ flag

   Raygun~partialclaimed6/10

   Raygun docs confirm SDK-level filtering of sensitive data before it's sent (client-side scrubbing) and an IP-address suppression toggle, which addresses part of the story. However, there is no evidence of server-side scrubbing rules applied after ingestion, no mention of PII-specific pattern rules (e.g., regex-based field scrubbing), and no confirmation that filtered data never persists server-side. missing for 10: server-side scrubbing rule engine, documented PII-pattern/regex filtering, confirmation of non-persistence guarantees, independent verification of scrubbing efficacy.

   • [claimed-docs] “You can filter out sensitive information from error data, meaning before errors are sent to Raygun. This enables you to remove sensitive dat…”
   • [claimed-docs] “To stop the storage of IP addresses you can go to your "Application settings" page in Raygun and then enabling the "Disable IP address stora…”
   • [claimed-docs] “You can filter out sensitive information from error data, meaning before errors are sent to Raygun.”

   proof ↗⚑ flag

Agent access

1. ai-native userAn agent can pull my top production issues with stack traces via API or MCP, triage them, and file the real bugs into my tracker

   weight 3 · round to GlitchTip
   GlitchTip~partialprobed6/10

   GlitchTip ships a built-in MCP server that lets AI assistants browse issues, inspect stack traces/event data, and resolve issues, and is documented as Sentry-API-compatible for programmatic access, covering the core 'pull issues with stack traces and triage' portion of the story. However, there's no evidence of a filed-bug/tracker-integration capability (e.g., auto-filing into Jira/GitHub) or of a prioritized 'top production issues' query, and probes show no public OpenAPI spec, weakening independent verification of the API path. Missing for 10: documented ticket-filing/tracker integration from the agent, evidence of 'top issues' ranking via API/MCP, and a public/verifiable API spec.

   • [claimed-docs] “GlitchTip has a built-in MCP server so you can pull your own error data into your preferred AI tools with no data sharing required.”
   • [claimed-docs] “Investigate errors — Browse issues, inspect stack traces and event data, and resolve issues”
   • [claimed-docs] “GlitchTip includes a built-in MCP server that allows AI assistants to interact with your error tracking, performance, and log data.”
   • [claimed-docs] “GlitchTip aims to be Sentry API compatible. Anything that works with Sentry should also work with GlitchTip.”
   • [probe] “official MCP server documented at https://glitchtip.com/documentation/mcp”
   • [probe] “PROBE openapi: all candidate paths 404 (https://glitchtip.com/openapi.json, https://glitchtip.com/swagger.json, https://glitchtip.com/api/op…”

   proof ↗⚑ flag

   Raygun~partialprobed5/10

   Raygun does have an official MCP server (raygun-probe-3) and docs describe rich stack-trace/error data (raygun-docs-1) plus a triage workflow via error statuses (raygun-docs-25, raygun-docs-10) and repo integrations (raygun-docs-2), but there is no evidence of an actual 'file bug into external tracker' action via API/MCP, and the lack of a public OpenAPI spec or llms.txt (raygun-probe-1, raygun-probe-2) undercuts confidence in a full agent-friendly API surface. missing for 10: evidence of automated ticket creation in external trackers via API/MCP, a documented OpenAPI/agent-facing API spec, and hands-on proof the MCP server can retrieve top production issues end-to-end.

   • [probe] “official MCP server documented at https://github.com/MindscapeHQ/mcp-server-raygun”
   • [claimed-docs] “see the full stack trace, environment, browser, version, class name, host, and more”
   • [claimed-docs] “Error statuses provides a workflow for triaging and managing your error inbox in Crash Reporting.”
   • [claimed-docs] “Connect to your repo through native integrations with GitHub, Bitbucket, and GitLab, with support for source map decoding.”
   • [probe] “PROBE llms.txt: HTTP 404 at https://raygun.com/llms.txt”
   • [probe] “PROBE openapi: all candidate paths 404 (https://raygun.com/openapi.json, https://raygun.com/swagger.json, https://raygun.com/api/openapi.jso…”

   proof ↗⚑ flag

Api access

1. developerList, query, and update issues and fetch raw events through a documented REST API with scoped tokens

   weight 3 · round to GlitchTip
   GlitchTip~partialprobed5/10

   GlitchTip claims Sentry API compatibility, implying issue listing/query/update and raw event fetch via REST API with tokens, but there is no direct documentation of endpoints, scoping, or token permissions in the evidence, and probes for OpenAPI/API docs all returned 404s. missing for 10: dedicated REST API reference docs, explicit scoped-token/auth documentation, and confirmation of update/query endpoints beyond inferred Sentry compatibility.

   • [claimed-docs] “GlitchTip aims to be Sentry API compatible. Anything that works with Sentry should also work with GlitchTip.”
   • [probe] “PROBE openapi: all candidate paths 404 (https://glitchtip.com/openapi.json, https://glitchtip.com/swagger.json, https://glitchtip.com/api/op…”

   proof ↗⚑ flag

   Raygun—none0/10

   Docs mention an external access token used for uploads (source maps, dSYM, ProGuard) and a Deployments API, but there is no evidence of a documented REST API for listing, querying, or updating issues or fetching raw error events, and probes for OpenAPI/swagger specs and llms.txt all returned 404s.

   • [claimed-docs] “You'll need your external access token for the following services: Deployments API, Sending dSYMS to Raygun, Uploading ProGuard mapping file…”
   • [claimed-docs] “You'll need your external access token for the following services:”
   • [probe] “PROBE llms.txt: HTTP 404 at https://raygun.com/llms.txt”
   • [probe] “PROBE openapi: all candidate paths 404 (https://raygun.com/openapi.json, https://raygun.com/swagger.json, https://raygun.com/api/openapi.jso…”

   proof ↗⚑ flag

Ingest protocol

1. developerThe event-ingestion protocol is documented and open enough that custom clients and compatible SDKs can send events without an official SDK

   weight 2 · round to GlitchTip
   GlitchTip~partialprobed6/10

   GlitchTip explicitly claims Sentry API compatibility, meaning it reuses Sentry's open-source ingestion protocol/SDK ecosystem rather than a proprietary one, and community reports confirm it works reliably with standard Sentry SDKs including newer ones like Svelte. However, there is no first-party protocol specification, OpenAPI/Swagger schema, or raw DSN/envelope format documentation (probes for openapi.json and docs.md return 404), so a developer building a fully custom client without a Sentry SDK would lack authoritative low-level docs. missing for 10: explicit ingestion protocol/schema docs (envelope format, endpoint spec), OpenAPI/Swagger definition, independent confirmation of custom non-Sentry clients successfully sending events.

   • [claimed-docs] “GlitchTip aims to be Sentry API compatible. Anything that works with Sentry should also work with GlitchTip.”
   • [community] “I use GlitchTip — it works well! A bit hard to deploy (many moving parts) but that's more a problem with F/OSS Sentry. It's been nice being …”
   • [community] “Hey Glitchtip! Been a happy user for going on a year or so. Super easy to self-host, and because it uses the existing sentry libs it's reall…”
   • [probe] “PROBE openapi: all candidate paths 404 (https://glitchtip.com/openapi.json, https://glitchtip.com/swagger.json, https://glitchtip.com/api/op…”

   proof ↗⚑ flag

   Raygun—none0/10

   No evidence of a documented open ingestion protocol/API spec for sending events; probes show no OpenAPI/llms.txt spec published, and docs only reference official SDKs and an external access token for specific upload services, not a general custom-client ingestion protocol. Missing for 10: public API/protocol reference for event ingestion, evidence of third-party or community-built compatible clients.

   • [probe] “PROBE llms.txt: HTTP 404 at https://raygun.com/llms.txt”
   • [probe] “PROBE openapi: all candidate paths 404 (https://raygun.com/openapi.json, https://raygun.com/swagger.json, https://raygun.com/api/openapi.jso…”
   • [claimed-docs] “You'll need your external access token for the following services: Deployments API, Sending dSYMS to Raygun, Uploading ProGuard mapping file…”

   proof ↗⚑ flag

Grouping

1. developerThe platform groups thousands of duplicate events into one issue via stack-trace fingerprinting, and I can customize the grouping when it gets it wrong

   weight 3 · round to Raygun
   GlitchTip—none0/10

   The evidence pack covers SDK ingestion, source maps, alerting, CLI, and MCP server features, but never mentions stack-trace fingerprinting, issue grouping of duplicate events, or any custom fingerrule/grouping override capability. The general 'Sentry API compatible' claim (glitchtip-docs-11) does not concretely document grouping behavior or customization tools.

   ⚑ flag

   Raygun~partialclaimed5/10

   Raygun documents stack-trace fingerprinting grouping by exception type, class name, method name, and stack trace location [raygun-docs-7], which covers the core deduplication claim. However, there is no evidence of a mechanism to customize or override grouping when it misfires (e.g., manual merge/split of error groups); only unrelated workflow controls like ignore rules and resolved statuses are documented [raygun-docs-11][raygun-docs-26][raygun-docs-10]. Missing for 10: documented ability to manually re-group, split, or merge error groups when fingerprinting is wrong, and any independent/hands-on confirmation of grouping accuracy or customization.

   • [claimed-docs] “Raygun groups errors based on the `exception type`, `class name`, `method name`, and the location within the `stack trace`.”
   • [claimed-docs] “We provide three types of conditions: Ignore for a specific time period ... Ignore for a specific number of occurrences ... Ignore by rule”
   • [claimed-docs] “When you ignore an error group you can specify the condition you would like the error group to be ignored for.”
   • [claimed-docs] “Once you've fixed a particular error, you can mark an it as 'Resolved'.”

   proof ↗⚑ flag

Triage

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

   weight 3 · round to Raygun
   GlitchTip~partialclaimed3/10

   Docs confirm issues can be 'resolved' via the MCP interface, and teams route notifications to owners, but there is no evidence of ignore/mute, snooze, explicit assignment workflow, or automatic reopening of a resolved issue upon regression. missing for 10: assign-to-user workflow, ignore/mute action, snooze/time-based silencing, automatic reopen-on-regression behavior.

   • [claimed-docs] “Investigate errors — Browse issues, inspect stack traces and event data, and resolve issues”
   • [claimed-docs] “Teams are for making sure the right people get notified when an error is reported.”
   • [claimed-docs] “GlitchTip includes a built-in MCP server that allows AI assistants to interact with your error tracking, performance, and log data.”

   proof ↗⚑ flag

   Raygun~partialclaimed6/10

   Raygun documents resolve/ignore (with time/occurrence/rule conditions) as part of an explicit error-status triage workflow, but evidence never mentions assigning an owner, a snooze action, or automatic reopening of resolved issues upon regression. missing for 10: owner assignment, explicit snooze action, automatic reopen-on-regression behavior, independent confirmation of these workflows.

   • [claimed-docs] “Once you've fixed a particular error, you can mark an it as 'Resolved'.”
   • [claimed-docs] “We provide three types of conditions: Ignore for a specific time period ... Ignore for a specific number of occurrences ... Ignore by rule”
   • [claimed-docs] “Error statuses provides a workflow for triaging and managing your error inbox in Crash Reporting.”
   • [claimed-docs] “When you ignore an error group you can specify the condition you would like the error group to be ignored for.”

   proof ↗⚑ flag

2. developerMerge issues that are really the same bug and split ones the fingerprinter wrongly collapsed

   weight 1 · round drawn
   GlitchTip—none0/10

   No evidence describes issue merge/unmerge or split functionality for fingerprinting-collapsed groups; the docs mention resolving issues, alerts, and MCP tooling for investigating errors, but nothing about merging or splitting grouped issues.

   ⚑ flag

   Raygun—none0/10

   Docs describe automatic grouping logic (exception type, class name, method, stack trace location) and error statuses (resolved/ignored) but there is no evidence of a manual merge-issues or split-issues feature to correct fingerprinting mistakes.

   • [claimed-docs] “Raygun groups errors based on the `exception type`, `class name`, `method name`, and the location within the `stack trace`.”
   • [claimed-docs] “Error statuses provides a workflow for triaging and managing your error inbox in Crash Reporting.”
   • [claimed-docs] “Once you've fixed a particular error, you can mark an it as 'Resolved'.”
   • [claimed-docs] “We provide three types of conditions: Ignore for a specific time period ... Ignore for a specific number of occurrences ... Ignore by rule”

   proof ↗⚑ flag

User feedback

1. developerCollect user feedback — a crash-report dialog or feedback widget — attached to the exact error event the user hit

   weight 1 · round drawn
   GlitchTip—none0/10

   No evidence of a user feedback widget or crash-report dialog feature attached to error events; documentation covers error/performance tracking, alerts, CLI, and MCP but never mentions collecting end-user feedback tied to an event.

   ⚑ flag

   Raygun—none0/10

   The evidence pack covers Raygun's crash reporting stack traces, AI resolution, error grouping, source maps, and integrations, but contains no mention of a crash-report dialog or feedback widget that lets end users submit feedback tied to a specific error event — a capability common in comparable crash-reporting tools.

   ⚑ flag

User impact

1. sreEvery issue quantifies real impact — how many users and sessions are affected — so I prioritize by blast radius, not raw event counts

   weight 2 · round to Raygun
   GlitchTip—none0/10

   No evidence GlitchTip surfaces user/session impact metrics (affected users, session counts, or blast-radius prioritization) on issues; docs cover error tracking, performance transactions, alerts, and MCP/CLI tooling but nothing about quantifying user/session impact per issue. Missing for 10: any mention of affected-user counts, session tracking, or blast-radius based prioritization/sorting.

   • [claimed-docs] “GlitchTip can use Sentry's open source SDKs to receive error data from your application.”
   • [claimed-docs] “GlitchTip takes a simple, works out of the box approach. No dashboard building and metrics hunting. Just find your slowest web requests, dat…”
   • [claimed-docs] “Find out where your app is slow. GlitchTip takes a simple, works out of the box approach.”

   proof ↗⚑ flag

   Raygun~partialclaimed5/10

   Raygun explicitly supports ordering/prioritizing errors by 'users affected' and occurrence counts, which directly maps to blast-radius prioritization rather than raw event counts (raygun-docs-3). However, there's no evidence of session-level impact quantification, percentage-of-userbase metrics, or dedicated 'impact score' analytics beyond simple affected-user counts. Missing for 10: session-affected metrics, quantified blast-radius scoring/percentage-of-users, independent corroboration of this prioritization workflow in practice.

   • [claimed-docs] “Order and prioritize errors based on users affected and the number of occurrences, and use smart filters to segment errors by date, location…”

   proof ↗⚑ flag

1. ai-native userDo everything through the API that I can do in the UI

   weight 2 · round to GlitchTip
   GlitchTip~partialprobed4/10

   GlitchTip claims Sentry API compatibility, implying broad API coverage (glitchtip-docs-11), and separately offers a CLI and MCP server for programmatic/AI access (glitchtip-docs-5, glitchtip-docs-19), but there is no explicit documentation or evidence that every UI action (team/project setup, alerts, uptime monitoring config, etc.) has a corresponding API endpoint, and probes for OpenAPI/API reference docs all 404'd. Missing for 10: a published OpenAPI/API reference confirming full UI-API parity, and explicit documentation or community confirmation that all UI workflows (not just error/issue data) are API-accessible.

   • [claimed-docs] “GlitchTip aims to be Sentry API compatible. Anything that works with Sentry should also work with GlitchTip.”
   • [claimed-docs] “glitchtip-cli releases new 1.0.0 --org my-org --project my-project”
   • [claimed-docs] “GlitchTip includes a built-in MCP server that allows AI assistants to interact with your error tracking, performance, and log data.”
   • [probe] “PROBE openapi: all candidate paths 404 (https://glitchtip.com/openapi.json, https://glitchtip.com/swagger.json, https://glitchtip.com/api/op…”

   proof ↗⚑ flag

   Raygun~partialprobed3/10

   Docs reference specific API endpoints (Deployments API, external access token for uploads, source map API) showing some functionality is exposed via API, but there is no evidence of comprehensive API parity with the UI, and probes show no discoverable OpenAPI spec or llms.txt (404s), suggesting the API surface is not fully documented or complete. missing for 10: evidence of full CRUD/API coverage for error management, AI resolution chat, exports, and dashboards equivalent to UI; a published OpenAPI/swagger spec confirming parity.

   • [claimed-docs] “You'll need your external access token for the following services: Deployments API, Sending dSYMS to Raygun, Uploading ProGuard mapping file…”
   • [claimed-docs] “If the automatic option does not work for your application you can also manually upload source maps either through our website using the `JS…”
   • [claimed-docs] “The Raygun Crash Reporting export feature allows customers to export all error groups or selected errors groups from within the Crash Report…”
   • [probe] “PROBE llms.txt: HTTP 404 at https://raygun.com/llms.txt”
   • [probe] “PROBE openapi: all candidate paths 404 (https://raygun.com/openapi.json, https://raygun.com/swagger.json, https://raygun.com/api/openapi.jso…”

   proof ↗⚑ flag

2. ai-native userExport all of my data in open formats and leave

   weight 3 · round drawn
   GlitchTip~partialprobed3/10

   GlitchTip is self-hosted and 'aims to be Sentry API compatible' (glitchtip-docs-11), implying data stays in the user's own Postgres/Redis stack and could interoperate with other Sentry-compatible tools, but there is no documented explicit 'export all data' feature, bulk export tool, or open-format export (CSV/JSON dump) in the evidence pack, and probes for docs/openapi endpoints returned 404s. Missing for 10: an explicit data-export feature/documentation, evidence of open-format bulk export, and independent confirmation that self-hosting alone satisfies full data portability.

   • [claimed-docs] “GlitchTip aims to be Sentry API compatible. Anything that works with Sentry should also work with GlitchTip.”
   • [community] “GlitchTip only requires 4 components (backend, workers, Redis, and postgresql). Self Hosted Sentry requires many more (at least a dozen, inc…”
   • [probe] “PROBE openapi: all candidate paths 404 (https://glitchtip.com/openapi.json, https://glitchtip.com/swagger.json, https://glitchtip.com/api/op…”

   proof ↗⚑ flag

   Raygun~partialprobed3/10

   Raygun documents a Crash Reporting export feature (export all or selected error groups) and CSV exports aligned with filters, showing some data portability, but there is no evidence of a full account-wide export covering APM, RUM, and other modules in open formats, and no documented API/OpenAPI spec (probes return 404) that would enable complete self-service data extraction. missing for 10: full-account data export beyond error groups, documented open API/schema for export, evidence of exporting APM/RUM/user data, independent confirmation of format openness.

   • [claimed-docs] “The Raygun Crash Reporting export feature allows customers to export all error groups or selected errors groups from within the Crash Report…”
   • [claimed-docs] “Aligned **CSV exports** with applied top-level filters. Exported data now matches filtered views for: Most Requested Pages, Tags, Country co…”
   • [claimed-docs] “Exported data now matches filtered views for:”
   • [probe] “PROBE openapi: all candidate paths 404 (https://raygun.com/openapi.json, https://raygun.com/swagger.json, https://raygun.com/api/openapi.jso…”

   proof ↗⚑ flag

3. ai-native userRead the product's source under an open license

   weight 2 · round drawn
   GlitchTip—none0/10

   The evidence pack never mentions GlitchTip's own source code license or a public repository — the only 'open source' references are to Sentry's SDKs, not to GlitchTip's own codebase. Since the axis (whether an AI-native user can read the product's source under an open license) plainly applies to a self-hostable product like this, absence of evidence means 'none'.

   • [claimed-docs] “GlitchTip can use Sentry's open source SDKs to receive error data from your application.”
   • [claimed-docs] “GlitchTip can be run with Docker. We recommend Docker Compose, PikaPods, Elestio, Nodion, Railway, or RepoCloud.”

   proof ↗⚑ flag

   Raygun—none0/10

   Raygun is a closed, commercial SaaS product with no evidence of an open-license source code repository for the core product; evidence only shows a separate MCP server integration and docs, not open-sourced product source.

   ⚑ flag

4. ai-native userSelf-host the core product

   weight 3 · round to GlitchTip
   GlitchTip✓fullcommunity8/10

   GlitchTip documents self-hosting via Docker/Docker Compose with multiple hosting recommendations (PikaPods, Elestio, Railway, etc.), and community reports corroborate this is a real, working, relatively lightweight self-hosting path (only 4 components vs Sentry's dozen) with good stability in practice. Missing for 10: no first-party hardware/scaling guidance beyond basic install docs, and one community comment notes deployment complexity ('many moving parts').

   • [claimed-docs] “GlitchTip can be run with Docker. We recommend Docker Compose, PikaPods, Elestio, Nodion, Railway, or RepoCloud.”
   • [community] “I use GlitchTip — it works well! A bit hard to deploy (many moving parts) but that's more a problem with F/OSS Sentry. It's been nice being …”
   • [community] “GlitchTip only requires 4 components (backend, workers, Redis, and postgresql). Self Hosted Sentry requires many more (at least a dozen, inc…”
   • [community] “Stability on GlitchTip has been great for me -- haven't had to worry about it or babysit it too much. Very small scale but still quite promi…”

   proof ↗⚑ flag

   Raygun—none0/10

   Raygun is offered as a hosted SaaS monitoring platform; no evidence in the pack mentions a self-hosted deployment option, on-prem package, or Docker image. Absence of evidence for an applicable capability yields none. missing for 10: any self-hosting/on-prem documentation, deployment instructions, or licensing for self-managed instances.

   ⚑ flag

1. ai-native userChoose where my data is stored (region/residency)

   weight 2 · round to GlitchTip
   GlitchTip~partialclaimed6/10

   GlitchTip explicitly offers a data residency option (a fully independent EU instance hosted in Frankfurt) plus self-hosting via Docker, which lets users control where data lives; a BAA is also available for compliance needs. However, evidence does not show a broader multi-region choice (e.g., US/EU/APAC selection at signup) beyond the single EU instance and self-hosting. Missing for 10: documented region selection UI/API, list of supported regions beyond EU, and independent confirmation of residency guarantees.

   • [claimed-docs] “For organizations with data residency requirements, GlitchTip offers a fully independent EU instance hosted in Frankfurt, Germany”
   • [claimed-docs] “Business Associate Agreement (BAA) available upon request”
   • [claimed-docs] “GlitchTip can be run with Docker. We recommend Docker Compose, PikaPods, Elestio, Nodion, Railway, or RepoCloud.”

   proof ↗⚑ flag

   Raygun—none0/10

   No evidence in the pack mentions data residency, region selection, or where Raygun stores customer data; only sensitive-data filtering and IP-storage disabling are documented, which are data-scrubbing controls, not region/residency choice.

   ⚑ flag

2. ai-native userPrevent my data from being used to train AI models

   weight 3 · round to GlitchTip
   GlitchTip~partialclaimed5/10

   GlitchTip's self-hosting option and EU data residency (Frankfurt) give users control over where data lives, and its MCP server explicitly markets 'no data sharing required' for AI tool integration, implying data stays local. However, there is no explicit policy or documentation addressing AI model training use of customer/error data specifically, no opt-out toggle, or terms language on this topic. missing for 10: explicit AI-training data-use policy/opt-out, terms of service language on model training, independent confirmation of no training use.

   • [claimed-docs] “GlitchTip has a built-in MCP server so you can pull your own error data into your preferred AI tools with no data sharing required.”
   • [claimed-docs] “GlitchTip includes a built-in MCP server that allows AI assistants to interact with your error tracking, performance, and log data.”
   • [claimed-docs] “For organizations with data residency requirements, GlitchTip offers a fully independent EU instance hosted in Frankfurt, Germany”

   proof ↗⚑ flag

   Raygun—none0/10

   Raygun uses OpenAI/Azure OpenAI for its AI-powered error resolution feature (raygun-docs-27), but there is no evidence of any opt-out mechanism, data usage policy, or AI training exclusion controls for customer data. Evidence covers sensitive data filtering for error reports (docs-12, docs-13) but not AI training opt-out specifically.

   • [claimed-docs] “This feature allows you to identify and tackle errors swiftly with just a click, using advanced AI technology powered by OpenAI and Azure Op…”
   • [claimed-docs] “You can filter out sensitive information from error data, meaning before errors are sent to Raygun. This enables you to remove sensitive dat…”
   • [claimed-docs] “To stop the storage of IP addresses you can go to your "Application settings" page in Raygun and then enabling the "Disable IP address stora…”

   proof ↗⚑ flag

3. ai-native userControl data retention and deletion

   weight 2 · round to Raygun
   GlitchTip—none0/10

   No evidence pack items address data retention policies, configurable retention windows, or user-initiated deletion of stored error/event data; self-hosting and EU residency are mentioned but retention/deletion controls are never described.

   ⚑ flag

   Raygun~partialclaimed5/10

   Raygun provides some data controls relevant to retention/deletion — filtering sensitive data before it's sent, disabling IP address storage, and exporting error data — but there's no documented self-service deletion/purge mechanism, configurable retention periods, or explicit data deletion policy for AI-native/automated control. missing for 10: documented retention period settings, an explicit data deletion/purge API or workflow, and confirmation these controls are accessible/automatable for AI-native use cases.

   • [claimed-docs] “You can filter out sensitive information from error data, meaning before errors are sent to Raygun. This enables you to remove sensitive dat…”
   • [claimed-docs] “To stop the storage of IP addresses you can go to your "Application settings" page in Raygun and then enabling the "Disable IP address stora…”
   • [claimed-docs] “The Raygun Crash Reporting export feature allows customers to export all error groups or selected errors groups from within the Crash Report…”

   proof ↗⚑ flag

4. ai-native userOpt out of telemetry and usage tracking

   weight 2 · round to Raygun
   GlitchTip—none0/10

   GlitchTip is a self-hosted error-tracking tool; being self-hosted implies the operator controls their own data, but no evidence explicitly addresses a telemetry/usage-tracking opt-out setting for GlitchTip itself (e.g., anonymous usage stats sent to the vendor). The MCP server 'no data sharing' claim relates to AI tool data flow, not product telemetry opt-out.

   ⚑ flag

   Raygun~partialclaimed3/10

   Raygun documents limited privacy controls—filtering sensitive data before it's sent to Raygun and disabling IP address storage—but these apply to the error/crash data customers send from their apps, not to opting out of Raygun's own product usage/telemetry tracking for an AI-native user of the platform. Missing for 10: explicit opt-out mechanism for Raygun's own usage analytics/telemetry, any AI-agent-specific telemetry controls, and independent confirmation these settings fully disable tracking.

   • [claimed-docs] “You can filter out sensitive information from error data, meaning before errors are sent to Raygun. This enables you to remove sensitive dat…”
   • [claimed-docs] “To stop the storage of IP addresses you can go to your "Application settings" page in Raygun and then enabling the "Disable IP address stora…”
   • [claimed-docs] “You can filter out sensitive information from error data, meaning before errors are sent to Raygun.”

   proof ↗⚑ flag

Quotas

1. engineering leaderCap event quotas per project and set spend limits so an error storm burns a predictable budget, never a surprise invoice

   weight 2 · round drawn
   GlitchTip—none0/10

   The evidence pack shows only trace sampling rate configuration (tracesSampleRate) as a way to reduce volume, but nothing about per-project event quotas, spend limit caps, or billing alerts to prevent surprise invoices. Given GlitchTip is a hosted/paid product with pricing plans, this axis applies, but no documentation or community evidence confirms a quota/spend-cap feature.

   • [claimed-docs] “This rate can be set with the `tracesSampleRate` config option ... Set this to a low number like `0.01` to have your SDK send only 1 percent…”
   • [claimed-docs] “Business Associate Agreement (BAA) available upon request”

   proof ↗⚑ flag

   Raygun—none0/10

   No evidence anywhere in the pack of per-project event quotas, spend limits, or budget caps for error volumes; docs focus on error grouping, ignoring rules, AI resolution, and integrations, not billing/quota controls.

   ⚑ flag

Regressions

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

   weight 2 · round drawn
   GlitchTip—none0/10

   Evidence shows GlitchTip supports release tracking (glitchtip-cli releases/deploys) and generic alerting on new issues via email/webhook, but there is no mention of a distinct 'regression' alert type that fires specifically when a previously resolved issue reappears in a newer release, as opposed to ordinary new-issue notifications.

   • [claimed-docs] “By default, new project alerts send emails to a project's team members, but you can also add a webhook URL by clicking “Add An Alert Recipie…”
   • [claimed-docs] “Record deployments for a release: glitchtip-cli deploys new 1.0.0 --env production --org my-org --project my-project”
   • [claimed-docs] “glitchtip-cli releases new 1.0.0 --org my-org --project my-project”

   proof ↗⚑ flag

   Raygun—none0/10

   Raygun's docs show error grouping, marking errors 'Resolved', and version-based filtering, but there is no evidence of a distinct 'regression' state or alert that fires specifically when a previously resolved error reappears in a newer release version, separate from ordinary new-error notifications.

   • [claimed-docs] “Raygun groups errors based on the `exception type`, `class name`, `method name`, and the location within the `stack trace`.”
   • [claimed-docs] “Once you've fixed a particular error, you can mark an it as 'Resolved'.”
   • [claimed-docs] “Error statuses provides a workflow for triaging and managing your error inbox in Crash Reporting.”
   • [claimed-docs] “Order and prioritize errors based on users affected and the number of occurrences, and use smart filters to segment errors by date, location…”

   proof ↗⚑ flag

Release health

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

   weight 2 · round drawn
   GlitchTip—none0/10

   GlitchTip has releases/deployments tracking via CLI and basic performance monitoring, but there is no evidence of release health metrics like crash-free sessions/users, adoption rate per release, or canary vs stable comparison dashboards.

   ⚑ flag

   Raygun—none0/10

   Evidence shows Raygun can filter/segment errors by version and other tags (raygun-docs-3) but there is no mention of a release-health dashboard, crash-free sessions/users metrics, adoption-per-release tracking, or a canary-vs-stable comparison view anywhere in the docs or changelog.

   • [claimed-docs] “Order and prioritize errors based on users affected and the number of occurrences, and use smart filters to segment errors by date, location…”

   proof ↗⚑ flag

Release tracking

1. developerAssociate errors with releases and commits so each issue shows the release it first appeared in and the suspect commit that likely caused it

   weight 3 · round drawn
   GlitchTip~partialclaimed4/10

   GlitchTip's CLI documents creating releases and recording deployments (glitchtip-cli releases new / deploys new), which lets teams tag error events with release versions, but there is no evidence of associating commits with issues or surfacing a 'suspect commit' on an issue as Sentry does. missing for 10: commit/VCS integration for suspect-commit detection, evidence that issue pages display 'first seen in release' or commit blame, independent confirmation of this workflow.

   • [claimed-docs] “glitchtip-cli releases new 1.0.0 --org my-org --project my-project”
   • [claimed-docs] “Record deployments for a release: glitchtip-cli deploys new 1.0.0 --env production --org my-org --project my-project”
   • [claimed-docs] “GlitchTip aims to be Sentry API compatible. Anything that works with Sentry should also work with GlitchTip.”

   proof ↗⚑ flag

   Raygun~partialclaimed4/10

   Raygun docs show native repo integrations (GitHub/Bitbucket/GitLab) with source map decoding and a Deployments API requiring an external access token, implying some deployment/version tracking, but there is no explicit documentation of a 'first seen in release' field or automated 'suspect commit' identification tied to an issue. missing for 10: explicit release-tagging of first occurrence, suspect-commit/blame attribution, and any hands-on confirmation this works as described.

   • [claimed-docs] “Connect to your repo through native integrations with GitHub, Bitbucket, and GitLab, with support for source map decoding.”
   • [claimed-docs] “You'll need your external access token for the following services: Deployments API, Sending dSYMS to Raygun, Uploading ProGuard mapping file…”
   • [claimed-docs] “Order and prioritize errors based on users affected and the number of occurrences, and use smart filters to segment errors by date, location…”

   proof ↗⚑ flag

Event context

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

   weight 2 · round to GlitchTip
   GlitchTip~partialcommunity6/10

   GlitchTip relies on Sentry's official SDKs for event capture and explicitly claims Sentry API compatibility ('Anything that works with Sentry should also work with GlitchTip'), which implies inherited support for breadcrumbs, tags, and user context since these are core Sentry SDK features. However, the evidence pack never explicitly documents these specific instrumentation primitives (breadcrumbs, tag API, user context) on GlitchTip's own docs. Missing for 10: explicit GlitchTip documentation demonstrating breadcrumb capture, custom tag attachment, and user context APIs, plus hands-on confirmation these render correctly in the GlitchTip UI.

   • [claimed-docs] “GlitchTip can use Sentry's open source SDKs to receive error data from your application.”
   • [claimed-docs] “GlitchTip aims to be Sentry API compatible. Anything that works with Sentry should also work with GlitchTip.”
   • [community] “I use GlitchTip — it works well! A bit hard to deploy (many moving parts) but that's more a problem with F/OSS Sentry. It's been nice being …”
   • [community] “Hey Glitchtip! Been a happy user for going on a year or so. Super easy to self-host, and because it uses the existing sentry libs it's reall…”

   proof ↗⚑ flag

   Raygun~partialclaimed3/10

   Docs mention filtering/segmenting errors by 'custom tags' (raygun-docs-3) and removing sensitive data before sending (raygun-docs-12), implying some ability to attach custom metadata to events, but there is no evidence of a breadcrumb API, explicit user-context attachment, or SDK instrumentation guidance for attaching state to individual events. Missing for 10: breadcrumb trail API, explicit user identification/context object, SDK code examples showing tags/custom data attachment per event.

   • [claimed-docs] “Order and prioritize errors based on users affected and the number of occurrences, and use smart filters to segment errors by date, location…”
   • [claimed-docs] “You can filter out sensitive information from error data, meaning before errors are sent to Raygun. This enables you to remove sensitive dat…”

   proof ↗⚑ flag

Mobile crashes

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

   weight 2 · round to Raygun
   GlitchTip~partialclaimed4/10

   GlitchTip relies on Sentry's open-source SDKs (which include official iOS/Android/NDK SDKs) and its CLI explicitly supports uploading debug symbols for native apps (dSYM, PDB, ELF) for crash symbolication, implying native mobile crash capture is possible. However, there is no explicit documentation of the mobile SDK setup, device/OS/app-version context capture, or any hands-on confirmation of iOS/Android/NDK crash reporting working end-to-end. Missing for 10: explicit iOS/Android SDK integration docs, device/OS/app-version context field documentation, and independent verification of native crash reproduction.

   • [claimed-docs] “GlitchTip can use Sentry's open source SDKs to receive error data from your application.”
   • [claimed-docs] “Upload debug symbols for native applications (dSYM, PDB, ELF): glitchtip-cli debug-files upload ./build --org my-org --project my-project”
   • [claimed-docs] “GlitchTip aims to be Sentry API compatible. Anything that works with Sentry should also work with GlitchTip.”

   proof ↗⚑ flag

   Raygun~partialclaimed5/10

   Docs show support for iOS (dSYM upload) and Android (ProGuard mapping file upload) native crash symbolication, implying native mobile crash reporting exists, and general crash docs mention environment/version context capture. However there's no explicit mention of NDK crash support, and no mobile-specific documentation of device/OS/app-version metadata capture for reproducing crashes. missing for 10: NDK-specific crash handling evidence, mobile SDK docs detailing device/OS/app-version context fields, independent/hands-on confirmation of mobile crash capture.

   • [claimed-docs] “You'll need your external access token for the following services: Deployments API, Sending dSYMS to Raygun, Uploading ProGuard mapping file…”
   • [claimed-docs] “see the full stack trace, environment, browser, version, class name, host, and more”

   proof ↗⚑ flag

Sdk coverage

1. developerInstrument my web frontend, backend services, and mobile apps with official SDKs that capture uncaught errors automatically

   weight 3 · round to GlitchTip
   GlitchTip✓fullcommunity7/10

   GlitchTip explicitly documents using Sentry's open-source SDKs for error capture and claims Sentry API compatibility, meaning any Sentry SDK (web, backend, mobile) works out of the box; community reports confirm reliable use of the Sentry SDK ecosystem across frameworks like Svelte. missing for 10: explicit mention of mobile SDK support/testing, and no independent hands-on confirmation of automatic uncaught-error capture across all three platform types (frontend/backend/mobile).

   • [claimed-docs] “GlitchTip can use Sentry's open source SDKs to receive error data from your application.”
   • [claimed-docs] “GlitchTip aims to be Sentry API compatible. Anything that works with Sentry should also work with GlitchTip.”
   • [community] “I use GlitchTip — it works well! A bit hard to deploy (many moving parts) but that's more a problem with F/OSS Sentry. It's been nice being …”
   • [community] “Hey Glitchtip! Been a happy user for going on a year or so. Super easy to self-host, and because it uses the existing sentry libs it's reall…”

   proof ↗⚑ flag

   Raygun~partialcommunity6/10

   Raygun's crash-reporting docs confirm automatic capture of stack traces, environment, browser/host info (raygun-docs-1) and mention platform-specific tooling like JS source maps (raygun-docs-14/15), iOS dSYM uploads and Android ProGuard mapping (raygun-docs-8/23), plus a community testimonial confirming .NET and WinRT SDK support (raygun-comm-1). However, there is no explicit documentation snippet showing SDK installation/auto-instrumentation code for each platform (frontend, backend, mobile) or confirmation that uncaught exceptions are captured without manual instrumentation across all three. Missing for 10: explicit SDK setup docs per platform, confirmation of automatic uncaught-exception hooking (not just crash reporting features), and independent verification beyond one old HN comment.

   • [claimed-docs] “see the full stack trace, environment, browser, version, class name, host, and more”
   • [claimed-docs] “You'll need your external access token for the following services: Deployments API, Sending dSYMS to Raygun, Uploading ProGuard mapping file…”
   • [claimed-docs] “If your source maps are publicly available on your website Raygun will fetch them automatically without you having to do anything.”
   • [claimed-docs] “If the automatic option does not work for your application you can also manually upload source maps either through our website using the `JS…”
   • [claimed-docs] “You'll need your external access token for the following services:”
   • [community] “I've been using the product since Alpha, needless to say I love it... Their .NET support is awesome... WinRT support is GREAT! Picked up a f…”

   proof ↗⚑ flag

Dashboards

1. engineering leaderSee error trends across projects and teams on dashboards — top regressions, new issues per release, volume over time

   weight 2 · round to Raygun
   GlitchTip—none0/10

   Evidence covers issue creation, teams/projects, CLI-based release tracking, and an MCP server for browsing individual errors, but there is no mention of cross-project/team dashboards, top-regression views, new-issues-per-release rollups, or volume-over-time charts. In fact one doc explicitly states GlitchTip avoids 'dashboard building and metrics hunting,' suggesting this kind of leadership-level trend dashboard is not a focus. missing for 10: cross-project/team aggregate dashboards, top-regression identification, new-issues-per-release reporting, volume-over-time visualizations.

   • [claimed-docs] “GlitchTip takes a simple, works out of the box approach. No dashboard building and metrics hunting. Just find your slowest web requests, dat…”
   • [claimed-docs] “Teams are for making sure the right people get notified when an error is reported.”
   • [claimed-docs] “Investigate errors — Browse issues, inspect stack traces and event data, and resolve issues”
   • [claimed-docs] “Record deployments for a release: glitchtip-cli deploys new 1.0.0 --env production --org my-org --project my-project”
   • [community] “Clicking any of the blog posts takes me to the installation guide. I can't seem to find any feature overview? I'd like to see screenshots an…”

   proof ↗⚑ flag

   Raygun~partialclaimed5/10

   Raygun provides error grouping, filtering/sorting by occurrence and users affected, an error chart on search results, and export capabilities, which support trend visibility within a single project, but there is no documented cross-project/cross-team rollup dashboard, no explicit 'new issues per release' or 'top regressions' aggregate view, and no evidence of an engineering-leader-focused multi-team overview. missing for 10: cross-project/team-level aggregate dashboards, explicit release-over-release regression tracking, top-regressions ranking view, and independent confirmation of these executive-level views.

   • [claimed-docs] “Order and prioritize errors based on users affected and the number of occurrences, and use smart filters to segment errors by date, location…”
   • [claimed-docs] “Added **error chart** visualization to **search results page**. Provides visual insight into error frequency and trends.”
   • [claimed-docs] “Added **error chart** visualization to **search results page**.”
   • [claimed-docs] “The Raygun Crash Reporting export feature allows customers to export all error groups or selected errors groups from within the Crash Report…”
   • [claimed-docs] “Raygun provides a fully integrated error, crash and performance monitoring solution, unlike anything else on the market today. See everythin…”

   proof ↗⚑ flag

Event search

1. developerSearch and filter events across projects by tag, release, environment, and custom properties with a real query syntax

   weight 2 · round to Raygun
   GlitchTip—none0/10

   No evidence describes a search/query syntax for filtering events by tag, release, environment, or custom properties; documentation covers SDK integration, alerts, CLI releases, MCP server, and performance monitoring but not a query/search feature across projects.

   ⚑ flag

   Raygun~partialclaimed5/10

   Docs confirm smart filters to segment errors by date, location, version, host, OS, browser, and custom tags, plus a dedicated search results page with visual charts, indicating some query/filter capability. However, there's no evidence of a documented query syntax, explicit 'environment' as a filter dimension, or cross-project search scope. missing for 10: documented query syntax/operators, explicit environment tag filtering, cross-project search evidence.

   • [claimed-docs] “Order and prioritize errors based on users affected and the number of occurrences, and use smart filters to segment errors by date, location…”
   • [claimed-docs] “Added **error chart** visualization to **search results page**. Provides visual insight into error frequency and trends.”
   • [claimed-docs] “Aligned **CSV exports** with applied top-level filters. Exported data now matches filtered views for: Most Requested Pages, Tags, Country co…”

   proof ↗⚑ flag

Sourcemaps

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

   weight 3 · round to GlitchTip
   GlitchTip~partialprobed6/10

   GlitchTip explicitly documents uploading source maps via its CLI (Beta) with debug ID injection for readable JS stack traces, and the CLI supports release/deploy tracking consistent with CI workflows. However, evidence for a dedicated bundler plugin (webpack/vite/rollup) is absent, the CLI feature is marked Beta, and there's no independent/community confirmation of source map upload working in practice. Missing for 10: bundler plugin support, CI pipeline examples, hands-on/community verification of accurate deminification.

   • [claimed-docs] “For JavaScript projects, upload source maps to get readable stack traces. Use the GlitchTip CLI (Beta) to inject debug IDs and upload source…”
   • [claimed-docs] “glitchtip-cli releases new 1.0.0 --org my-org --project my-project”
   • [claimed-docs] “Record deployments for a release: glitchtip-cli deploys new 1.0.0 --env production --org my-org --project my-project”
   • [probe] “official CLI documented at https://glitchtip.com/documentation/cli”

   proof ↗⚑ flag

   Raygun~partialclaimed5/10

   Docs confirm source map support: automatic fetching if public, or manual upload via the JS source map center or API, and an external access token is required for 'Uploading JavaScript files directly to Raygun' — implying scriptable/CI-friendly upload. However, no evidence of an official CLI tool or bundler plugin (webpack/vite/rollup) for source map upload as CI step. Missing for 10: dedicated CLI/bundler plugin documentation, explicit CI pipeline integration examples.

   • [claimed-docs] “If your source maps are publicly available on your website Raygun will fetch them automatically without you having to do anything.”
   • [claimed-docs] “If the automatic option does not work for your application you can also manually upload source maps either through our website using the `JS…”
   • [claimed-docs] “You'll need your external access token for the following services: Deployments API, Sending dSYMS to Raygun, Uploading ProGuard mapping file…”

   proof ↗⚑ flag

Symbolication

1. developerUpload dSYM, ProGuard, and native debug symbols so mobile and native crashes symbolicate to real function names and lines

   weight 2 · round to GlitchTip
   GlitchTip~partialclaimed6/10

   GlitchTip's CLI explicitly supports uploading native debug symbols (dSYM, PDB, ELF) via `glitchtip-cli debug-files upload`, directly addressing native/mobile symbolication, and its Sentry-SDK compatibility implies ProGuard mapping support could work similarly to Sentry. However, there is no explicit documentation or community confirmation of ProGuard mapping upload or Android/Java symbolication specifically, and no hands-on evidence of successful symbolication for mobile crashes. Missing for 10: explicit ProGuard/Android mapping upload docs, independent confirmation of successful mobile crash symbolication.

   • [claimed-docs] “Upload debug symbols for native applications (dSYM, PDB, ELF): glitchtip-cli debug-files upload ./build --org my-org --project my-project”
   • [claimed-docs] “GlitchTip aims to be Sentry API compatible. Anything that works with Sentry should also work with GlitchTip.”
   • [claimed-docs] “glitchtip-cli releases new 1.0.0 --org my-org --project my-project”

   proof ↗⚑ flag

   Raygun~partialclaimed4/10

   Docs confirm Raygun supports sending dSYMs and uploading ProGuard mapping files (gated behind an external access token), which implies symbolication support for iOS/Android crashes, but there is no detailed documentation of the upload workflow, verification of resulting symbolication quality, or independent/hands-on confirmation it works as claimed. missing for 10: detailed dSYM/ProGuard upload workflow docs, native debug symbol handling details, independent verification of correct symbolication.

   • [claimed-docs] “You'll need your external access token for the following services: Deployments API, Sending dSYMS to Raygun, Uploading ProGuard mapping file…”
   • [claimed-docs] “You'll need your external access token for the following services:”

   proof ↗⚑ flag

Issue trackers

1. developerLink 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

   weight 2 · round drawn
   GlitchTip—none0/10

   No evidence of Jira/GitHub Issues/Linear integrations with two-way status sync; GlitchTip's documented integrations cover GitLab error tracking, Grafana data source, and an MCP server, none of which mention issue tracker linking or bidirectional resolve/reopen sync.

   • [claimed-docs] “In GitLab, navigate to a project's Settings > Monitor > Error Tracking. Click to enable tracking. Select "Sentry" and enter the GlitchTip UR…”
   • [claimed-docs] “In Grafana, navigate to Configuration > Data sources, click "Add data source". In the search field, type "Sentry".”
   • [claimed-docs] “GlitchTip aims to be Sentry API compatible. Anything that works with Sentry should also work with GlitchTip.”

   proof ↗⚑ flag

   Raygun—none0/10

   Evidence shows GitHub/Bitbucket/GitLab integration is for repo linking and source map decoding, not issue-tracker ticket sync; no mention of Jira, GitHub Issues, or Linear ticket integration with two-way status sync (auto-resolve/reopen) anywhere in the pack.

   • [claimed-docs] “Connect to your repo through native integrations with GitHub, Bitbucket, and GitLab, with support for source map decoding.”
   • [claimed-docs] “Once you've fixed a particular error, you can mark an it as 'Resolved'.”

   proof ↗⚑ flag

Scm context

1. developerThe 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

   weight 2 · round to Raygun
   GlitchTip—none0/10

   No evidence of repo/VCS integration (suspect commits, code owners, or stack-frame-to-source-line linking to a default branch); evidence covers source maps for readable stack traces, GitLab error tracking setup, and an MCP server for AI tools, none of which describe commit suspicion, code ownership, or jump-to-line-on-branch features.

   • [claimed-docs] “For JavaScript projects, upload source maps to get readable stack traces. Use the GlitchTip CLI (Beta) to inject debug IDs and upload source…”
   • [claimed-docs] “GlitchTip aims to be Sentry API compatible. Anything that works with Sentry should also work with GlitchTip.”
   • [claimed-docs] “In GitLab, navigate to a project's Settings > Monitor > Error Tracking. Click to enable tracking. Select "Sentry" and enter the GlitchTip UR…”

   proof ↗⚑ flag

   Raygun~partialclaimed4/10

   Raygun documents native repo integrations (GitHub, Bitbucket, GitLab) with source map decoding, which implies some code-context mapping from stack traces, but there is no evidence of surfacing suspect commits, code owners, or direct deep-linking from a stack frame to the exact line on the default branch. missing for 10: suspect-commit identification, code owner attribution, verified line-level deep-linking to source repo.

   • [claimed-docs] “Connect to your repo through native integrations with GitHub, Bitbucket, and GitLab, with support for source map decoding.”
   • [claimed-docs] “If your source maps are publicly available on your website Raygun will fetch them automatically without you having to do anything.”
   • [claimed-docs] “If the automatic option does not work for your application you can also manually upload source maps either through our website using the `JS…”

   proof ↗⚑ flag