From errors to outcomes:
Multiplayer vs. Sentry

Sentry tells you what broke. Multiplayer does that too. Plus, we help you fix, test, document and feed it to your AI tool.

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How is Multiplayer different?

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Full stack correlation by default, backend agnostic

Multiplayer provides full stack session recordings that correlate frontend and backend data out of the box. You can integrate it with whichever observability stack you already use.

• Sentry is primarily an error monitoring tool that added frontend session replays. To make the replays “full stack,” you must also instrument Sentry for backend monitoring. And even then, adding missing context like request/response or header content requires extra setup and doesn’t include data from internal system components. Similarly, user feedback doesn’t automatically accompany every session replay by default.

• Multiplayer is full stack by default: frontend screens, user actions, backend traces, logs, request/response payloads, headers content, and user feedback all on a single timeline. And because we’re backend-agnostic, you can keep using any other observability platform alongside Multiplayer without lock-in.

Multiplayer fits seamlessly into your existing workflows and tool stack. You get end-to-end visibility from day one. No migrations, no lock-in, just answers.

Session replays for all engineering workflows, not just debugging

We believe session replays shouldn’t live only in a debugging silo. Multiplayer designed replays to be a reusable, collaborative unit of work across the entire software lifecycle.

•  Sentry integrates replays tightly into error monitoring and performance tracking and only through an SDK. They’re valuable for developers diagnosing what happened in conjunction with an error, but their use is limited to this context. QA, product, customer success, and even end users can’t leverage them seamlessly.

•  Multiplayer replays are versatile by design. We support multiple recording options, replay modes, and use cases.
Recording a session (on demand, continuous, or remote) is as simple as clicking a button in your in-app widget, browser extension or by using your SDK. We support debugging (same as Sentry), but we also allow:
•  QA to understand why tests fail,
•  PMs to analyze user behaviors,
•  CS to resolve customer issues, and
•  Developers to annotate sessions with sketches and requirements for new features.

With Multiplayer, a single investment powers many workflows out of the box, not just for one use case for one team.

Full circle debugging: capture, fix, validate, repeat

We want to shift the conversation from “catching bugs” (where Sentry plays) to “closing the loop on debugging and development” (where Multiplayer shines).

• Sentry is great at detecting and reporting errors. But it stops there: collaboration is limited to assigning or commenting on issues, and any deeper workflow requires jumping across tools. Even using the Sentry MCP with AI coding tools requires a lot of manual searching and prompting to gather all the needed context.

• Multiplayer closes the loop. Developers can annotate replays with comments, sketches, and requirements. They can hand full context to an AI coding tool that already has all the correlated data — user steps, traces, request/response, headers, developer notes and plans — to generate accurate fixes or features. They can auto-generate runnable test scripts from sessions to validate the fix and prevent regressions.

End-to-end visibility is just the starting point. Multiplayer helps you actually fix, validate, and document issues in one flow, without the manual digging or tool-switching that slows teams down.

Designed for AI-native workflows

Multiplayer is built to give AI tools everything they need to be genuinely helpful to developers, without extra effort, rework, or guesswork.

• Sentry’s MCP server allows users to explore and interrogate Sentry data with their AI coding tools. For deeper debugging they offer a proprietary AI agent. However, both options still requires back and forth to search, identify and use the correct data, which often needs to be manually added (see missing request/response and header content).

• Multiplayer’s session-based approach — where every session is a self-contained unit of data, pre-correlated and enriched — is natively suited for AI IDEs, copilots, and agents to generate accurate responses with minimal prompting.

With Multiplayer, you can say “Fix this bug from this session” or “Build this frontend element based on this session and sketch” and the AI has everything it needs to generate the code you want.

By eliminating the need to search, sample, or reconstruct missing context, Multiplayer makes AI tooling more accurate, responsive, and useful in real-world development workflows.

Why use Multiplayer?

Accelerate root cause analysis

With full stack session recordings, Multiplayer lets you instantly see how bugs happened in a single timeline. We reduce the guesswork and time wasted grepping through log files or jumping between dashboards and screens.

Build new features faster

Multiplayer gives you instant clarity into the specifics of end to end system behavior. And, allows you to annotate session recordings with comments, sketches, and requirements. You can build with confidence and share effortlessly with your team (or AI coding assistant!).

Power AI tools with the data they are missing

Multiplayer turns session recordings into structured, AI-ready information with full stack, correlated, enriched and annotated data. Your AI tools can generate more accurate fixes, tests, and feature suggestions.

Sentry is an error monitoring tool that offers replays. Multiplayer is built around full stack session recordings as the foundation for end-to-end engineering workflows.

Core differences

Feature	Sentry	Multiplayer
PRIMARY FOCUS	Error monitoring and debugging	Debugging, development, testing, customer support, documentation
SDLC	Production debugging	Across the lifecycle (full stack production debugging, development, testing, support, AI workflows)
AUDIENCE	Developers	Developers, QAs, Customer Success, PMs, end users and external partners
SESSION REPLAYS	Frontend by default. Full stack requires backend instrumentation with Sentry and manual customization	Full stack out of the box. By default each replay also includes user feedback and internal system data (e.g. request/response and header content for components deep in your system)
BACKEND	Must standardize on Sentry for true full stack visibility	Backend agnostic. You can use any observability stack to route backend data to Multiplayer
AI	Explore and interrogate Sentry data, and use a proprietary AI agent for deeper debugging	Feed AI tools complete, auto-correlated and enriched context from each session, enabling immediate, accurate fixes and development work
TEAM COLLABORATION	Basic. Assign issues, leave comments, link to Jira	😉 multi-player out of the box (e.g. collaboratively annotate session recordings with sketches, requirements, and comments)
DOCUMENTATION	List incidents and issues	Build a living system knowledge and supports interactive notebooks

Core features

Feature	Sentry	Multiplayer
On-demand & continuous session replay	🟡 For devs through SDK	✅ For devs, QA, CS, end users, etc. through SDK, in-app widget or browser extension
Session recording annotation	🔴 No	✅ Annotate recordings with sketches, comments, requirements and plans
Full stack correlated data	🟡 Manual customization needed and backend only Sentry	✅ Out of the box and backend agnostic
Error & performance monitoring	✔️	🔴 No. Should we consider it? Let us Know
Dashboards	✔️ Error & performance monitoring	✅ Real-time, auto-generated system map (e.g. components, dependencies, APIs, etc.)
Notebooks	🔴 No	✅ Interactive sandbox environments (for developing, testing and documenting APIs)
MCP server	✔️ Explore Sentry data for debugging	✅ Full stack context, including annotated session recordings, for all AI workflows

Session recording features

Feature	Sentry	Multiplayer
Installation method	️️✔️️ SDK	✅ Browser extension, in-app widget, SDK
On-demand session recording	🟡 Only through SDK. Due to transaction sampling, it may be missing traces, also missing request/response content and headers.	✅ Available for all install options and no trace sampling or missing data.
Continuous session recording	🟡 Only through SDK. Due to transaction sampling, it may be missing traces, also missing request/response content and headers.	✅ Available for all install options and no trace sampling or missing data.
Auto-generated session recordings for exceptions	🟡 Only through SDK. Due to transaction sampling, it may be missing traces, also missing request/response content and headers.	✅ Available for all install options and no trace sampling or missing data.
Remote session recording	🔴 No	✅ Silently turn on recordings to capture and reproduce user-reported issues that lack full stack detail
Web-based applications	✔️	✅
Mobile applications	✔️	🟡 Coming soon
Session recording annotation (sketches, comments, plans)	🔴 No	✅
Masking sensitive user information	✔️	✅
Session recording searchability (filters, tags, search)	🟡 Doesn't include internal system data (request/response and header content for components deep in your system)	✅ Full stack out of the box (including request/response and header content for components deep in your system)
Session recording sharing	✔️	✅
Auto-generated, runnable test scripts from session recordings	🔴 No	✅️ Check out our notebooks

Session recording data

Feature	Sentry	Multiplayer
User clicks + inputs	️️️️✔️️	✅
Page navigations + loads	️️✔️️	✅
Session metadata (device, runtime environment, browser, OS)	️️✔️️	✅
Console messages	️️✔️️	✅
DOM events	️️✔️️	✅
Network requests	✔️	✅
HTML source code	✔️	✅
Backend errors	🟡 Only with full Sentry instrumentation	✅ Included by default, observability platform agnostic
Correlated distributed traces per session	🟡 Due to transaction sampling, it may be missing traces	✅ Out of the box, with zero of sampling
User feedback	🟡 Usually captured separately from session replays	✅ Included by default in each session replay
Request / response content per session	🔴 Only included if you opt in via configuration, and only for the client request to the black box system	✅ Including from inside the system components (e.g. going from one service to another)
Header content per session	🔴 Only included if you opt in via configuration, and only for the client request to the black box system	✅ Including from inside the system components (e.g. going from one service to another)
Service and dependency maps	🔴 Only trace visualization for individual traces	✅️ Full system map (components, dependencies, APIs, etc.)
Repositories	✔️	✅