Sentry vs Raygun

Agent access

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

   weight 2 · round to Sentry
   Sentry✓fullprobed9/10

   A direct probe confirms Sentry serves an llms.txt file at docs.sentry.io/llms.txt with structured documentation content, and Sentry also documents agent-oriented workflows (agents.toml skill dependencies, agent plugin docs, one-command setup for Claude Code/Cursor/Codex/Grok). Missing for 10: independent/community confirmation that an agent successfully consumed the llms.txt or agent-oriented docs end-to-end.

   • [probe] “PROBE llms.txt: HTTP 200 at https://docs.sentry.io/llms.txt # Sentry Documentation > Sentry is a developer-first application monitoring pla…”
   • [claimed-docs] “One command teaches Claude Code, Cursor, Codex, and Grok how to install and configure Sentry for you.”
   • [claimed-docs] “Whether you're adding Sentry to a new project, debugging a spike in errors, or wiring up alerts, just ask.”
   • [claimed-docs] “It lets you declare agent skill dependencies in agents.toml, lock versions for reproducibility, and ensure every tool on your team discovers…”

   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 Sentry
   Sentry~partialprobed6/10

   Sentry has a documented CLI (sentry-cli) for sending events, uploading source maps, managing releases, crons, and debug files, which supports CI/headless automation, plus SDKs that integrate into CI/build pipelines. However, evidence is scattered docs-references rather than an explicit 'run Sentry in CI/headlessly' guide or CI integration examples, and no independent hands-on confirmation of CI usage exists. missing for 10: explicit CI/automation guide or pipeline examples, independent verification of headless CI usage, and clarity on which features (Seer, MCP) work outside interactive/agent contexts.

   • [claimed-docs] “It's primarily used for managing debug information files for iOS, Android, release and source maps management, as well as code mappings for …”
   • [claimed-docs] “The sentry-cli tool can also be used for sending events.”
   • [claimed-docs] “It allows you to create, edit and delete releases as well as upload release artifacts for them.”
   • [claimed-docs] “Sentry Crons allows you to monitor the uptime and performance of any scheduled, recurring job.”
   • [probe] “official CLI documented at https://docs.sentry.io/cli/”
   • [claimed-docs] “Uploading Source Maps”

   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
   Sentry—none0/10

   Evidence shows Sentry ships its own MCP server (mcp.sentry.dev) so other AI assistants can call Sentry's tools, and it can even monitor/observe MCP server traffic (docs-44) — but this is the reverse direction. There is no evidence that Sentry itself (or its Seer agent) can act as an MCP client and plug in external MCP servers to use their tools.

   • [claimed-docs] “Connects AI assistants to Sentry for searching errors, analyzing performance, triaging issues, reading documentation, and managing projects …”
   • [probe] “official MCP server documented at https://mcp.sentry.dev/”
   • [claimed-docs] “Connect an AI coding agent to Sentry so that Seer's root cause analysis can be sent directly to the agent for automated fix generation and p…”
   • [claimed-docs] “automatically collect information about MCP server connections, resource access, tool executions, and errors across your entire MCP pipeline”

   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 Sentry
   Sentry✓fullprobed8/10

   Sentry publishes an official MCP server at mcp.sentry.dev enabling AI agents to search errors, analyze performance, triage issues, and manage projects via the Model Context Protocol, corroborated by docs pointing users to set it up alongside the Sentry CLI. Missing for 10: independent/hands-on community verification of the MCP server working in practice, and more detail on setup reliability.

   • [claimed-docs] “Connects AI assistants to Sentry for searching errors, analyzing performance, triaging issues, reading documentation, and managing projects …”
   • [claimed-docs] “Use Sentry without leaving your agent conversations by setting up the Sentry MCP server and Sentry CLI.”
   • [probe] “official MCP server documented at https://mcp.sentry.dev/”
   • [claimed-docs] “One command teaches Claude Code, Cursor, Codex, and Grok how to install and configure Sentry for you.”

   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 Sentry
   Sentry✓fullprobed8/10

   Sentry ships and documents an official sentry-cli tool (docs.sentry.io/cli) with commands for releases, debug files, sending events, streaming logs, and CI integration, plus a documented flow for AI agents to install/configure Sentry via one command. missing for 10: no independent/hands-on corroboration of CLI use specifically in AI-native/agentic workflows beyond vendor docs.

   • [claimed-docs] “One command teaches Claude Code, Cursor, Codex, and Grok how to install and configure Sentry for you.”
   • [claimed-docs] “It's primarily used for managing debug information files for iOS, Android, release and source maps management, as well as code mappings for …”
   • [claimed-docs] “The sentry-cli tool can also be used for sending events.”
   • [claimed-docs] “The sentry-cli tool can be used to view and stream logs from your Sentry projects.”
   • [claimed-docs] “It allows you to create, edit and delete releases as well as upload release artifacts for them.”
   • [probe] “official CLI documented at https://docs.sentry.io/cli/”

   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 Sentry
   Sentry✓fullprobed7/10

   Sentry documents a public REST API (e.g. issue-listing/mutation endpoints) plus a CLI and SDKs that let programmatic/AI-driven clients interact with the platform, and pricing explicitly lists 'API & third-party integrations' as a tier feature. However, probes for a formal OpenAPI/swagger spec all 404'd, so there's no machine-readable schema confirmed, and independent hands-on corroboration of API usage is absent. Missing for 10: a discoverable OpenAPI/swagger spec, independent developer confirmation of API usage.

   • [claimed-docs] “Bulk Mutate a List of Issues”
   • [claimed-docs] “Unlimited users API & third-party integrations 20 custom dashboards Seer: AI debugging agent (subscription required)”
   • [claimed-docs] “It's primarily used for managing debug information files for iOS, Android, release and source maps management, as well as code mappings for …”
   • [probe] “PROBE openapi: all candidate paths 404 (https://docs.sentry.io/openapi.json, https://docs.sentry.io/swagger.json, https://docs.sentry.io/api…”
   • [probe] “official CLI documented at https://docs.sentry.io/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
   Sentry—none0/10

   The evidence pack shows Sentry's general API access, MCP server, and SAML/SCIM support, but nothing about issuing scoped or least-privilege API credentials specifically for AI agents (e.g., token scopes, agent-specific permission grants). No documentation or hands-on evidence addresses credential scoping for agent use.

   ⚑ 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 Sentry
   Sentry✓fullprobed8/10

   Sentry documents official SDKs across many languages/platforms (docs-45–49) and explicitly extends these into AI-native workflows via agent tracing/instrumentation docs (docs-42, docs-44), an official MCP server (docs-8, sentry-probe-3), a coding-agent integration guide (docs-41), and one-command setup for Claude Code/Cursor/Codex/Grok (docs-4). This directly supports building against official SDKs in an agentic/AI-native context. Missing for 10: independent/hands-on developer corroboration of AI-native SDK integration specifically, and no explicit versioned SDK API reference cited beyond platform pages.

   • [claimed-docs] “One command teaches Claude Code, Cursor, Codex, and Grok how to install and configure Sentry for you.”
   • [claimed-docs] “Connects AI assistants to Sentry for searching errors, analyzing performance, triaging issues, reading documentation, and managing projects …”
   • [claimed-docs] “Connect an AI coding agent to Sentry so that Seer's root cause analysis can be sent directly to the agent for automated fix generation and p…”
   • [claimed-docs] “automatically collects information about agent runs, tool calls, model interactions, and errors across your entire AI pipeline—from user int…”
   • [claimed-docs] “automatically collect information about MCP server connections, resource access, tool executions, and errors across your entire MCP pipeline”
   • [claimed-docs] “The Sentry team builds and maintains SDKs for most popular languages and frameworks, but there’s also a large ecosystem supported by the com…”
   • [claimed-docs] “we get you up and running with Sentry's Android SDK, automatically reporting errors and exceptions in your application.”
   • [probe] “official MCP server documented at https://mcp.sentry.dev/”

   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 Sentry
   Sentry✓fullclaimed8/10

   Sentry has a dedicated Webhooks integration-platform doc describing subscribing to events via webhooks, which is a documented first-party capability usable by AI-native/automation consumers alongside its API and MCP surfaces. missing for 10: independent/hands-on corroboration of webhook reliability and no explicit example of an AI agent consuming these webhooks directly.

   • [claimed-docs] “Webhooks”

   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 Sentry
   Sentry✓fullclaimed8/10

   Sentry ships Seer, an AI debugging agent that performs root-cause analysis, autofix code suggestions, and code review directly within the product (sentry-docs-2, sentry-docs-13, sentry-docs-26, sentry-docs-40), plus agent tracing that surfaces insights on tool calls/spend (sentry-docs-3, sentry-docs-42). This is gated behind a paid subscription and documented mainly via first-party docs/changelog rather than deep independent hands-on validation. Missing for 10: independent/community hands-on verification of Seer's suggestion quality and broader third-party corroboration beyond vendor docs.

   • [claimed-docs] “Catch critical issues before you merge and fix them when they hit prod with Seer, our debugging agent and code reviewer.”
   • [claimed-docs] “Automatically root-cause any issue... Catch critical issues before you merge and fix them when they hit prod with Seer, our debugging agent …”
   • [claimed-docs] “Autofix”
   • [claimed-docs] “Use Autofix to find root causes and generate suggested code fixes for errors and performance issues”
   • [claimed-docs] “Agent tracing helps you catch unexpected output issues, bad tool calls and visualize the spend and performance across all your agents.”
   • [claimed-docs] “automatically collects information about agent runs, tool calls, model interactions, and errors across your entire AI pipeline—from user int…”
   • [claimed-docs] “Seer: AI debugging agent (subscription required)”

   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 to Sentry
   Sentry~partialclaimed6/10

   Sentry's Seer/Autofix agent autonomously root-causes issues and can even generate PRs via connected coding agents (sentry-docs-2, 13, 26, 40, 41), and alerting/cron monitoring run in the background without manual triggering (sentry-docs-17, 35, 50). However this autonomy is issue-triggered rather than a general-purpose scheduler, gated behind a paid subscription (sentry-docs-59), and there is no independent/hands-on evidence validating how reliably it runs unattended. Missing for 10: independent corroboration of autonomous Seer/Autofix runs, evidence of broader scheduled/background automation beyond issue-triggered debugging, and confirmation it works without subscription.

   • [claimed-docs] “Catch critical issues before you merge and fix them when they hit prod with Seer, our debugging agent and code reviewer.”
   • [claimed-docs] “Automatically root-cause any issue... Catch critical issues before you merge and fix them when they hit prod with Seer, our debugging agent …”
   • [claimed-docs] “Autofix”
   • [claimed-docs] “Use Autofix to find root causes and generate suggested code fixes for errors and performance issues”
   • [claimed-docs] “Connect an AI coding agent to Sentry so that Seer's root cause analysis can be sent directly to the agent for automated fix generation and p…”
   • [claimed-docs] “automatically collects information about agent runs, tool calls, model interactions, and errors across your entire AI pipeline—from user int…”
   • [claimed-docs] “Seer: AI debugging agent (subscription required)”
   • [claimed-docs] “Cron Monitoring”
   • [claimed-docs] “Sentry Crons allows you to monitor the uptime and performance of any scheduled, recurring job.”

   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 Sentry
   Sentry✓fullclaimed7/10

   Sentry ships Seer, a built-in AI debugging agent/code reviewer directly inside the product that can autonomously root-cause issues, suggest fixes, and be delegated tasks like 'just ask' for debugging, alerts, or setup (sentry-docs-2, sentry-docs-26, sentry-docs-39, sentry-docs-40). This is a first-party, in-product AI assistant, not just an external agent connector. Missing for 10: independent/hands-on user corroboration of Seer's actual task-delegation quality, and note that full Seer access requires a paid subscription (sentry-docs-59).

   • [claimed-docs] “Catch critical issues before you merge and fix them when they hit prod with Seer, our debugging agent and code reviewer.”
   • [claimed-docs] “Automatically root-cause any issue... Catch critical issues before you merge and fix them when they hit prod with Seer, our debugging agent …”
   • [claimed-docs] “Autofix”
   • [claimed-docs] “Whether you're adding Sentry to a new project, debugging a spike in errors, or wiring up alerts, just ask.”
   • [claimed-docs] “Use Autofix to find root causes and generate suggested code fixes for errors and performance issues”
   • [claimed-docs] “Seer: AI debugging agent (subscription required)”

   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 Sentry
   Sentry✓fullprobed7/10

   Sentry ships an official MCP server plus an 'agent plugin' explicitly designed so users can operate Sentry via natural language ('just ask' to add a project, debug errors, or wire up alerts), and the MCP server supports searching errors, triaging issues, and managing projects conversationally. Missing for 10: independent/hands-on user reports confirming natural-language reliability, and no evidence of a native chat/command interface outside the MCP+agent integration path.

   • [claimed-docs] “Whether you're adding Sentry to a new project, debugging a spike in errors, or wiring up alerts, just ask.”
   • [claimed-docs] “Connects AI assistants to Sentry for searching errors, analyzing performance, triaging issues, reading documentation, and managing projects …”
   • [claimed-docs] “Use Sentry without leaving your agent conversations by setting up the Sentry MCP server and Sentry CLI.”
   • [claimed-docs] “Connect an AI coding agent to Sentry so that Seer's root cause analysis can be sent directly to the agent for automated fix generation and p…”
   • [probe] “official MCP server documented at https://mcp.sentry.dev/”

   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
   Sentry—none0/10

   Sentry's docs reference API endpoints (e.g., sentry-docs-23) but there is no evidence of an interactive, runnable API reference (like Swagger/OpenAPI try-it-out); a probe for OpenAPI/Swagger specs returned 404s, suggesting no such interactive tooling is exposed.

   • [claimed-docs] “Bulk Mutate a List of Issues”
   • [probe] “PROBE openapi: all candidate paths 404 (https://docs.sentry.io/openapi.json, https://docs.sentry.io/swagger.json, https://docs.sentry.io/api…”

   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
   Sentry—none0/10

   Sentry's docs reference REST API endpoints, but a direct probe for a machine-readable OpenAPI/Swagger spec at the standard docs.sentry.io locations returned 404 for all candidates, and no other evidence pack item shows a downloadable spec file. Missing for 10: any linked OpenAPI/Swagger JSON or YAML file, any docs page announcing spec availability.

   • [probe] “PROBE openapi: all candidate paths 404 (https://docs.sentry.io/openapi.json, https://docs.sentry.io/swagger.json, https://docs.sentry.io/api…”
   • [claimed-docs] “Bulk Mutate a List of Issues”

   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
   Sentry—none0/10

   No evidence of a documented API versioning scheme or deprecation policy; the OpenAPI spec probe returned 404s and no docs mention API version numbers or deprecation timelines.

   • [probe] “PROBE openapi: all candidate paths 404 (https://docs.sentry.io/openapi.json, https://docs.sentry.io/swagger.json, https://docs.sentry.io/api…”

   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 to Sentry
   Sentry✓fullclaimed8/10

   Sentry's Seer/Autofix explicitly generates root-cause analysis and code fixes, and docs describe connecting an AI coding agent so Seer's analysis is sent to the agent for automated fix generation and pull request creation (sentry-docs-41, sentry-docs-40, sentry-docs-26, sentry-docs-13). This is a first-party documented workflow matching the story closely. Missing for 10: independent/hands-on confirmation that PR creation works reliably end-to-end and more detail on human review flow.

   • [claimed-docs] “Connect an AI coding agent to Sentry so that Seer's root cause analysis can be sent directly to the agent for automated fix generation and p…”
   • [claimed-docs] “Use Autofix to find root causes and generate suggested code fixes for errors and performance issues”
   • [claimed-docs] “Autofix”
   • [claimed-docs] “Automatically root-cause any issue... Catch critical issues before you merge and fix them when they hit prod with Seer, our debugging agent …”
   • [claimed-docs] “AI Code Review”

   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 Sentry
   Sentry✓fullclaimed8/10

   Sentry's Seer/Autofix explicitly analyzes stack traces, breadcrumbs, and suspect commits to automatically root-cause issues and generate suggested fixes, matching the story closely (sentry-docs-13, sentry-docs-26, sentry-docs-40, sentry-docs-21). This is documented as a first-party feature with a dedicated product page, though gated behind a paid subscription. missing for 10: independent/hands-on validation of root-cause accuracy, and explicit confirmation that breadcrumbs are directly cited in Seer's output (only inferred from feature overlap).

   • [claimed-docs] “Automatically root-cause any issue... Catch critical issues before you merge and fix them when they hit prod with Seer, our debugging agent …”
   • [claimed-docs] “Autofix”
   • [claimed-docs] “Use Autofix to find root causes and generate suggested code fixes for errors and performance issues”
   • [claimed-docs] “Suspect Commits”
   • [claimed-docs] “Seer: AI debugging agent (subscription required)”
   • [claimed-docs] “Connect an AI coding agent to Sentry so that Seer's root cause analysis can be sent directly to the agent for automated fix generation and p…”

   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 Sentry
   Sentry✓fullclaimed7/10

   Sentry documents Alerts as a first-class feature with native Slack and PagerDuty integrations, email notifications (per pricing docs), and Ownership Rules for project-based routing — covering the core of alert routing by channel and project. Missing for 10: explicit documentation of the specific threshold types named in the story (new issue, frequency spike, affected-user count) and severity-tag-based routing rules, plus independent/hands-on corroboration beyond doc titles.

   • [claimed-docs] “Alerts”
   • [claimed-docs] “Slack”
   • [claimed-docs] “PagerDuty”
   • [claimed-docs] “Ownership Rules”
   • [claimed-docs] “One user Error Monitoring and Tracing Alerts and notifications via email 10 custom dashboards MCP access”
   • [claimed-docs] “One user * Error Monitoring and Tracing * Alerts and notifications via email * 10 custom dashboards * MCP access”

   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 Sentry
   Sentry~partialclaimed5/10

   Sentry docs cover alerting (sentry-docs-17), issue mute/ignore/resolve states (sentry-docs-20), and quota/rate-limit management (sentry-docs-30), which together support noise-reduction workflows for SREs. However, there is no explicit documentation of 'spike protection' as a named feature or per-key/per-DSN rate limiting controls, only general billing quotas. Missing for 10: explicit spike protection docs, per-key rate limit configuration, and independent/hands-on validation that these reduce night-time paging.

   • [claimed-docs] “Alerts”
   • [claimed-docs] “Issue Status”
   • [claimed-docs] “Billing Quota Management”
   • [claimed-docs] “Ownership Rules”

   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 Sentry
   Sentry~partialprobed6/10

   Sentry's API and CLI provide bulk operation support — the API explicitly documents 'Bulk Mutate a List of Issues' and the CLI supports scripted release/artifact/event operations, plus an MCP server exposes issue-management tools to AI agents. However, there's no dedicated evidence of AI-native bulk workflows (e.g., an agent bulk-triaging/resolving many issues in one MCP call) beyond individual issue-level MCP actions. Missing for 10: explicit documentation of MCP/agent-driven bulk operations across many items, and independent/hands-on confirmation of bulk API usage at scale.

   • [claimed-docs] “Bulk Mutate a List of Issues”
   • [claimed-docs] “Connects AI assistants to Sentry for searching errors, analyzing performance, triaging issues, reading documentation, and managing projects …”
   • [probe] “official MCP server documented at https://mcp.sentry.dev/”
   • [claimed-docs] “It allows you to create, edit and delete releases as well as upload release artifacts for them.”
   • [claimed-docs] “The sentry-cli tool can also be used for sending events.”

   proof ↗⚑ 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 Sentry
   Sentry~partialclaimed6/10

   Sentry supports rule-based automation like Alerts, Ownership Rules, Fingerprint Rules, and Webhooks that trigger notifications/actions (Slack, PagerDuty) on events, plus Autofix/Seer for automated root-cause and PR generation triggered by issues. However, this is more traditional alerting/ownership routing than a unified 'AI-native automation rules engine' with conditional logic tailored for agentic workflows. missing for 10: evidence of a dedicated rule-builder for AI-agent-triggered actions, complex conditional/multi-step automation workflows, and independent verification of these rules working reliably in practice.

   • [claimed-docs] “Alerts”
   • [claimed-docs] “Ownership Rules”
   • [claimed-docs] “Fingerprint Rules”
   • [claimed-docs] “Slack”
   • [claimed-docs] “PagerDuty”
   • [claimed-docs] “Webhooks”
   • [claimed-docs] “Autofix”
   • [claimed-docs] “Connect an AI coding agent to Sentry so that Seer's root cause analysis can be sent directly to the agent for automated fix generation and p…”

   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 drawn
   Sentry~partialclaimed6/10

   Sentry documents server-side data scrubbing rules (sentry-docs-29) which directly matches the SRE story, and SDK-level filtering (beforeSend/scrubbing hooks) is a known Sentry SDK feature area implied by platform SDK docs, but the evidence pack lacks explicit documentation of SDK-level filtering callbacks or confirmation that scrubbing prevents sensitive payloads from ever persisting server-side (vs. being scrubbed post-ingestion). missing for 10: explicit SDK-level PII filtering/beforeSend docs, confirmation of pre-persistence scrubbing guarantees, independent validation of scrubbing effectiveness.

   • [claimed-docs] “Server-Side Data Scrubbing”

   proof ↗⚑ 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 Sentry
   Sentry~partialprobed7/10

   Sentry ships both an official MCP server (mcp.sentry.dev) for searching errors, triaging issues, and managing projects, and REST APIs (e.g., bulk mutate/list project issues) that could surface top production issues and stack traces; it also documents connecting AI coding agents so Seer's root-cause analysis can be sent to the agent for automated fix generation and PR creation. This covers pull+triage+file-a-fix workflows well, but evidence is oriented toward filing PRs into a coding agent/repo rather than explicitly filing tickets into a separate issue tracker (Jira/Linear), and no example shows an agent pulling stack traces specifically via API in one documented flow. missing for 10: explicit documented flow of pulling stack traces via API for 'top issues', and explicit filing into a third-party issue tracker (not just PR creation).

   • [claimed-docs] “Connects AI assistants to Sentry for searching errors, analyzing performance, triaging issues, reading documentation, and managing projects …”
   • [claimed-docs] “Bulk Mutate a List of Issues”
   • [claimed-docs] “Sentry MCP: fix production issues right from your LLM”
   • [claimed-docs] “Connect an AI coding agent to Sentry so that Seer's root cause analysis can be sent directly to the agent for automated fix generation and p…”
   • [probe] “official MCP server documented at https://mcp.sentry.dev/”

   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 Sentry
   Sentry~partialprobed5/10

   Docs confirm a documented REST API for listing and bulk-mutating issues (sentry-docs-23) and general API/integrations access is called out in pricing (sentry-docs-11), but the pack lacks explicit evidence of scoped API tokens or a raw-event fetch endpoint, and an OpenAPI spec probe returned 404s (sentry-probe-2). missing for 10: explicit scoped-token/auth documentation, raw event retrieval endpoint evidence, and a working machine-readable API spec.

   • [claimed-docs] “Bulk Mutate a List of Issues”
   • [claimed-docs] “Unlimited users API & third-party integrations 20 custom dashboards Seer: AI debugging agent (subscription required)”
   • [probe] “PROBE openapi: all candidate paths 404 (https://docs.sentry.io/openapi.json, https://docs.sentry.io/swagger.json, https://docs.sentry.io/api…”

   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 Sentry
   Sentry~partialprobed4/10

   Evidence shows sentry-cli can send events directly (sentry-docs-52) and there is a large SDK ecosystem plus community-supported SDKs (sentry-docs-45), implying an underlying ingestion protocol exists beyond official SDKs, but there is no dedicated public specification of the event/envelope protocol, no OpenAPI spec (probe found 404s at sentry-docs/openapi paths), and no first-party documentation explicitly inviting third parties to build custom clients against a documented wire protocol. missing for 10: a published open protocol/spec for event ingestion (e.g., envelope format documentation), explicit statement that custom/unofficial clients are supported, and independent evidence of third-party clients successfully using the raw protocol.

   • [claimed-docs] “The sentry-cli tool can also be used for sending events.”
   • [claimed-docs] “The Sentry team builds and maintains SDKs for most popular languages and frameworks, but there’s also a large ecosystem supported by the com…”
   • [probe] “PROBE openapi: all candidate paths 404 (https://docs.sentry.io/openapi.json, https://docs.sentry.io/swagger.json, https://docs.sentry.io/api…”

   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 Sentry
   Sentry~partialclaimed6/10

   Sentry documents Fingerprint Rules for customizing grouping when automatic stack-trace grouping gets it wrong, and issue-status/triage docs support the workflow. However, evidence lacks detail on the core automatic fingerprinting algorithm itself (how thousands of duplicates are merged) and there's no independent/hands-on corroboration of grouping accuracy or the customization UX working well in practice. Missing for 10: deeper docs/evidence on default grouping algorithm, merge/split issue UI, and independent validation of grouping quality.

   • [claimed-docs] “Fingerprint Rules”
   • [claimed-docs] “Issue Status”
   • [claimed-docs] “Ownership Rules”

   proof ↗⚑ 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 Sentry
   Sentry✓fullclaimed7/10

   Sentry's docs explicitly cover issue triage lifecycle (states-triage doc), ownership/assignment rules, and bulk mutation APIs for resolving/ignoring issues, which are core, well-known Sentry features including automatic reopening of resolved issues on regression. However the evidence pack only cites doc titles/URLs rather than quoting the actual regression-reopen and snooze mechanics in detail. Missing for 10: explicit doc text confirming auto-reopen-on-regression behavior and snooze/ignore duration options, plus independent hands-on confirmation of this specific triage flow.

   • [claimed-docs] “Issue Status”
   • [claimed-docs] “Ownership Rules”
   • [claimed-docs] “Bulk Mutate a List of Issues”
   • [claimed-docs] “Suspect Commits”

   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 to Sentry
   Sentry~partialclaimed3/10

   Sentry's Fingerprint Rules doc shows a mechanism to influence/correct how events are grouped (addressing mis-grouping), but there is no evidence in the pack of an explicit merge/unmerge issues action or UI, which is the core mechanic described in the story. Missing for 10: explicit merge-issues and unmerge/split-issues documentation or feature reference, hands-on confirmation of the merge/split workflow.

   • [claimed-docs] “Fingerprint Rules”
   • [claimed-docs] “Issue Status”

   proof ↗⚑ 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
   Sentry—none0/10

   The evidence pack covers SDKs, error monitoring, tracing, Seer AI, MCP, CLI, and integrations, but contains no mention of a user feedback widget, crash-report dialog, or any mechanism for collecting end-user feedback tied to a specific error event. Missing for 10: any documentation of a feedback widget/crash dialog feature, API for attaching feedback to an event, or configuration guide for it.

   ⚑ 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
   Sentry—none0/10

   The evidence pack covers issue triage, alerts, ownership rules, AI debugging (Seer), and SDK/CLI capabilities, but nothing documents quantifying 'users affected' or 'sessions affected' per issue for blast-radius prioritization. Without any citation on impact-based metrics tied to issues, this capability is unevidenced in the pack.

   ⚑ 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 Sentry
   Sentry~partialprobed5/10

   Sentry documents a broad REST API (issue management, releases, alerts, webhooks) and an MCP server/CLI for AI-agent access, showing substantial API coverage, but there's no explicit claim or evidence of full UI/API parity, and probes for a discoverable OpenAPI spec all 404'd, suggesting gaps in comprehensive API documentation. missing for 10: explicit full UI/API parity statement, discoverable OpenAPI/swagger spec, evidence covering less common UI features (dashboards, ownership rules, org settings) via API.

   • [claimed-docs] “Bulk Mutate a List of Issues”
   • [claimed-docs] “Connects AI assistants to Sentry for searching errors, analyzing performance, triaging issues, reading documentation, and managing projects …”
   • [claimed-docs] “Sentry MCP: fix production issues right from your LLM”
   • [claimed-docs] “Unlimited users API & third-party integrations 20 custom dashboards Seer: AI debugging agent (subscription required)”
   • [probe] “PROBE openapi: all candidate paths 404 (https://docs.sentry.io/openapi.json, https://docs.sentry.io/swagger.json, https://docs.sentry.io/api…”
   • [probe] “official MCP server documented at https://mcp.sentry.dev/”

   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 to Sentry
   Sentry~partialcommunity4/10

   Sentry is open source and can be fully self-hosted (sentry-docs-28, sentry-comm-2), and it exposes API endpoints to list/mutate issues (sentry-docs-23) plus a CLI for releases/events (sentry-docs-52, sentry-docs-56), giving technical means to extract data and avoid lock-in. However, there is no documented bulk/full-account data export feature or open-format export guarantee, and a community comment even cites a competitor's 'no vendor lock-in' pitch as a differentiator from Sentry (sentry-comm-4), suggesting this isn't a headline capability. Missing for 10: an explicit data-export/portability doc, documented export formats, and confirmation of no proprietary lock-in for hosted users.

   • [claimed-docs] “How you can run all of Sentry on your own server, without paying anything.”
   • [claimed-docs] “Bulk Mutate a List of Issues”
   • [claimed-docs] “The sentry-cli tool can also be used for sending events.”
   • [claimed-docs] “It allows you to create, edit and delete releases as well as upload release artifacts for them.”
   • [community] “I have run the self-hosted version of Sentry for a couple years at my job now and it has worked fantastically... The self-hosted version is …”
   • [community] “I built Cabin as an alternative to Sentry. Less bloat, no vendor lock-in, works with any logger.”

   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 to Sentry
   Sentry!disputedcontradicted5/10

   Sentry's source is publicly visible on GitHub (sentry-gh-1, sentry-gh-2) and self-hosting docs (sentry-docs-28) reference running 'all of Sentry' for free, with community praise for the 'fully open source nature' (sentry-comm-1). However, community evidence directly contradicts a fully open license: a user states they 'refuse to rely on closed-source software' after a licensing change (sentry-comm-3), and another notes 'not seeing what looks like too many, if any, outside contributions' (sentry-comm-8), indicating Sentry moved to a source-available/BSL-style license rather than a traditional OSI open license. Missing for 10: explicit documentation of the current license terms, confirmation of OSI-approved status, and resolution of the community-reported licensing shift.

   • [github] “Sentry is the debugging platform that helps every developer detect, trace, and fix issues.”
   • [github] “Sentry is the debugging platform that helps every developer detect, trace, and fix issues. Code breaks, fix it faster.”
   • [claimed-docs] “How you can run all of Sentry on your own server, without paying anything.”
   • [community] “We're huge fans of Sentry and have it deeply integrated in our products. The fully open source nature has helped us a ton with these advance…”
   • [community] “This is a very disappointing development. I was hoping to implement Sentry for a side project I have been working on, now I will have to fin…”
   • [community] “I know for a fact that your competition is using your code, even where they've built a differentiated service, e.g. Embrace is using Sentry …”

   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 Sentry
   Sentry~partialcommunity7/10

   Sentry officially documents running the full core product self-hosted for free (sentry-docs-28, sentry-docs-9), and community reports confirm it works well long-term (sentry-comm-2). However, real caveats exist: some users report heavy resource consumption when self-hosting (sentry-comm-5) and there is documented community frustration over licensing changes limiting true open-source freedom (sentry-comm-3), which matters for the openness theme. Missing for 10: independent verification that current license terms fully satisfy open-source expectations, and evidence addressing the resource/scaling complaints.

   • [claimed-docs] “How you can run all of Sentry on your own server, without paying anything.”
   • [claimed-docs] “Sentry offers and maintains a minimal setup that works out-of-the-box for simple use cases.”
   • [community] “I have run the self-hosted version of Sentry for a couple years at my job now and it has worked fantastically... The self-hosted version is …”
   • [community] “Each release would unleash more containers and consume more memory until we couldn't run anything on the 32gb server except Sentry.”
   • [community] “This is a very disappointing development. I was hoping to implement Sentry for a side project I have been working on, now I will have to fin…”

   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 Sentry
   Sentry✓fullcommunity7/10

   Sentry docs explicitly document 'Data Storage Location (US or EU)' as a configurable option, and self-hosted deployment is also available for full data residency control. Missing for 10: independent/hands-on corroboration of the region-selection workflow and details on which plans/regions are supported.

   • [claimed-docs] “Data Storage Location (US or EU)”
   • [claimed-docs] “How you can run all of Sentry on your own server, without paying anything.”
   • [community] “I have run the self-hosted version of Sentry for a couple years at my job now and it has worked fantastically... The self-hosted version is …”

   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 drawn
   Sentry—none0/10

   No evidence of any policy, setting, or statement addressing whether user data is used to train AI models (Sentry's own or third-party AI features like Seer/Autofix). Self-hosting and data scrubbing docs exist but don't address AI training use specifically.

   ⚑ 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
   Sentry~partialclaimed4/10

   Sentry documents some privacy-adjacent controls like server-side PII scrubbing and choice of data storage location (US/EU), which touch on data governance, but the evidence pack has no explicit documentation of configurable data retention periods, deletion APIs, or GDPR-style delete-my-data workflows. Missing for 10: explicit retention period settings, data deletion/erasure API or UI, documentation of default retention windows and how AI-native users can programmatically purge stored error/trace data.

   • [claimed-docs] “Server-Side Data Scrubbing”
   • [claimed-docs] “Data Storage Location (US or EU)”
   • [claimed-docs] “Billing Quota Management”

   proof ↗⚑ 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
   Sentry—none0/10

   No evidence pack items address telemetry/usage-tracking opt-out settings for Sentry itself (e.g., product analytics or CLI telemetry opt-out flags); only data scrubbing and self-hosted options are mentioned, which is a different concern than 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 to Sentry
   Sentry~partialclaimed6/10

   Sentry documents 'Billing Quota Management' and 'Advanced quota management' as pricing-tier features, indicating per-project event quotas and spend controls exist, but the evidence pack lacks detail on how spend caps are configured, alerting on quota thresholds, or hard-stop billing guarantees. missing for 10: detailed docs/UI walkthrough of setting spend limits, independent/hands-on confirmation that caps reliably prevent overage billing, and clarity on per-project (vs org-wide) granularity.

   • [claimed-docs] “Billing Quota Management”
   • [claimed-docs] “Advanced quota management”

   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 to Sentry
   Sentry~partialclaimed3/10

   Sentry's docs reference an 'Issue Status' page (states-triage) that implies distinct regression tracking, and separate Alerts documentation, but the evidence pack provides only page titles with no substantive text confirming a specific 'regression' alert type distinct from new-issue alerts. missing for 10: explicit documentation or quotes describing regression detection/alerting logic, confirmation that regression alerts are routed separately from new-issue alerts, and any hands-on/community validation of this specific behavior.

   • [claimed-docs] “Issue Status”
   • [claimed-docs] “Alerts”
   • [claimed-docs] “Associate Commits”

   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
   Sentry—none0/10

   The evidence pack includes only generic release docs (Associate Commits, releases.md CLI page) but no mention of crash-free sessions/users metrics, adoption tracking, or canary vs stable release comparison — the specific 'release health' capability described in the story is unevidenced.

   • [claimed-docs] “Associate Commits”
   • [claimed-docs] “It allows you to create, edit and delete releases as well as upload release artifacts for them.”

   proof ↗⚑ 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 to Sentry
   Sentry✓fullclaimed8/10

   Sentry docs explicitly cover 'Associate Commits' and 'Suspect Commits' features tying issues to releases and the likely-causing commit, backed by supporting infra like source maps, code mappings, and CLI release/commit association tooling. Missing for 10: independent hands-on corroboration of suspect-commit accuracy and no detailed walkthrough of the release timeline UI in this pack.

   • [claimed-docs] “Associate Commits”
   • [claimed-docs] “Suspect Commits”
   • [claimed-docs] “Code mappings link stack trace paths to source code paths in your repository. They enable features like source context, suspect commits, sta…”
   • [claimed-docs] “It allows you to create, edit and delete releases as well as upload release artifacts for them.”
   • [claimed-docs] “Uploading Source Maps”

   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 Raygun
   Sentry—none0/10

   The evidence pack confirms Sentry SDKs exist and capture errors/traces (e.g., sentry-docs-1, sentry-docs-45, sentry-docs-46), but nothing in the pack specifically documents breadcrumbs, custom tags, or user context attachment APIs. Without direct evidence of these instrumentation primitives, the story cannot be credited as delivered per the evidence-only rule.

   ⚑ 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 Sentry
   Sentry~partialclaimed6/10

   Sentry documents Android SDK and debug information files (dSYMs/proguard) for symbolicating native crashes, plus sentry-cli support for managing debug info files for iOS/Android, which underpins NDK/native crash reporting with device/OS/app-version context. However, there is no explicit iOS or NDK-specific SDK documentation excerpt, and no direct evidence of the captured context fields (device, OS version, app version) shown in a crash report. missing for 10: explicit iOS SDK docs, NDK-specific crash capture documentation, evidence of device/OS/app-version context fields in captured events, and independent/hands-on confirmation of native crash symbolication working.

   • [claimed-docs] “we get you up and running with Sentry's Android SDK, automatically reporting errors and exceptions in your application.”
   • [claimed-docs] “Debug information files allow Sentry to extract stack traces and provide more information about crash reports for most compiled platforms.”
   • [claimed-docs] “It's primarily used for managing debug information files for iOS, Android, release and source maps management, as well as code mappings for …”
   • [claimed-docs] “It’s primarily used for managing debug information files for iOS, Android, release and source maps management, as well as code mappings for …”

   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 Sentry
   Sentry✓fullclaimed9/10

   Sentry documents SDKs for a broad range of platforms (Android, .NET, Elixir, Dart, JavaScript, etc.) that automatically capture errors/exceptions with minimal setup, plus a general platform-support claim ('if you use it, we probably support it') covering web, backend, and mobile. Missing for 10: independent hands-on confirmation of automatic uncaught-error capture across all listed SDKs (only first-party docs cited).

   • [claimed-docs] “Drop in the SDK. No agents to install. No performance surprises.”
   • [claimed-docs] “If you use it, we probably support it.”
   • [claimed-docs] “The Sentry team builds and maintains SDKs for most popular languages and frameworks, but there’s also a large ecosystem supported by the com…”
   • [claimed-docs] “we get you up and running with Sentry's Android SDK, automatically reporting errors and exceptions in your application.”
   • [claimed-docs] “Sentry's Elixir SDK enables automatic reporting of errors, exceptions and messages. You can also use it to monitor your cron jobs.”
   • [claimed-docs] “capture your first errors and traces, and view them in Sentry”
   • [claimed-docs] “you can monitor interactions between multiple services or applications by enabling tracing... You can also collect and analyze performance p…”
   • [claimed-docs] “Monitor in five lines... Drop in the SDK. No agents to install. No performance surprises.”

   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
   Sentry~partialclaimed4/10

   Pricing pages confirm Sentry ships 'custom dashboards' (10 on free tier, 20 on team tier) and release/issue tracking features like 'Associate Commits' and 'Issue Status', implying some cross-project reporting capability, but no evidence describes dashboard content such as top regressions, new-issues-per-release, or volume-over-time views, nor cross-team rollups for engineering leaders. Missing for 10: documentation of specific dashboard widgets/views (regression detection, release comparison, volume trends), evidence of team/org-level rollups, and any hands-on or independent confirmation of these analytics views.

   • [claimed-docs] “One user Error Monitoring and Tracing Alerts and notifications via email 10 custom dashboards MCP access”
   • [claimed-docs] “Unlimited users API & third-party integrations 20 custom dashboards Seer: AI debugging agent (subscription required)”
   • [claimed-docs] “Associate Commits”
   • [claimed-docs] “Issue Status”
   • [claimed-docs] “One user * Error Monitoring and Tracing * Alerts and notifications via email * 10 custom dashboards * MCP access”

   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
   Sentry—none0/10

   The evidence pack contains no documentation or claims about Sentry's issue search/query syntax (e.g., filtering by tag, release, environment, or custom properties across projects). Items like 'Bulk Mutate a List of Issues' or 'Issue Status' touch issue management but never describe a query language or cross-project filtering capability.

   ⚑ 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 Sentry
   Sentry✓fullprobed8/10

   Sentry docs explicitly cover uploading JavaScript source maps (sentry-docs-15), sentry-cli's role in release/source map management and code mappings (sentry-docs-6, sentry-docs-24, sentry-docs-55, sentry-docs-56), which together describe uploading source maps via CLI/CI to deobfuscate stack traces. Missing for 10: explicit bundler-plugin (webpack/vite) documentation citation and independent/hands-on confirmation that stack traces are correctly symbolicated in production.

   • [claimed-docs] “Uploading Source Maps”
   • [claimed-docs] “It’s primarily used for managing debug information files for iOS, Android, release and source maps management, as well as code mappings for …”
   • [claimed-docs] “It's primarily used for managing debug information files for iOS, Android, release and source maps management, as well as code mappings for …”
   • [claimed-docs] “Code mappings link stack trace paths to source code paths in your repository. They enable features like source context, suspect commits, sta…”
   • [claimed-docs] “It allows you to create, edit and delete releases as well as upload release artifacts for them.”
   • [probe] “official CLI documented at https://docs.sentry.io/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 Sentry
   Sentry✓fullprobed8/10

   Sentry docs explicitly describe managing debug information files for iOS/Android (dSYM, ProGuard, native symbols) via sentry-cli, and dedicated docs confirm CLI upload of debug information files enables stack trace symbolication for compiled platforms. Community evidence corroborates real-world use of Sentry's symbolication engine (Symbolicator) being adopted by competitors, validating the capability's maturity. Missing for 10: independent hands-on verification specifically of dSYM/ProGuard upload workflows and confirmation of accurate line-level symbolication outcomes.

   • [claimed-docs] “It’s primarily used for managing debug information files for iOS, Android, release and source maps management, as well as code mappings for …”
   • [claimed-docs] “It's primarily used for managing debug information files for iOS, Android, release and source maps management, as well as code mappings for …”
   • [claimed-docs] “Debug information files allow Sentry to extract stack traces and provide more information about crash reports for most compiled platforms.”
   • [claimed-docs] “It allows you to create, edit and delete releases as well as upload release artifacts for them.”
   • [community] “I know for a fact that your competition is using your code, even where they've built a differentiated service, e.g. Embrace is using Sentry …”
   • [probe] “official CLI documented at https://docs.sentry.io/cli/”

   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
   Sentry—none0/10

   The evidence pack covers issue status, suspect commits, ownership rules, webhooks, Slack/PagerDuty notifications, and AI/MCP integrations, but contains no mention of Jira, GitHub Issues, or Linear integrations, nor any description of two-way status sync between Sentry issues and external trackers.

   ⚑ 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 Sentry
   Sentry✓fullclaimed8/10

   Sentry documents Suspect Commits, Ownership Rules (code owners), and code mappings that link stack trace paths to source repo paths enabling source context, suspect commits, stack trace linking, and code owners — directly matching the story. Missing for 10: no independent/hands-on corroboration of the exact 'jump to default branch line' UX or repo integration setup friction.

   • [claimed-docs] “Suspect Commits”
   • [claimed-docs] “Ownership Rules”
   • [claimed-docs] “Code mappings link stack trace paths to source code paths in your repository. They enable features like source context, suspect commits, sta…”
   • [claimed-docs] “Associate Commits”

   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