LogDog
LogDog streams mobile app network requests, logs, and events from iOS and Android to a cloud dashboard wirelessly in real time.
LogDog is worth it when debugging is a team activity — a public session link beats emailing log files, and the mock editor plus shake-to-open popup are things Charles doesn't offer. Small and mid-sized mobile teams testing across TestFlight and App Store builds get the most from it. The catch is metered billing on headers-plus-body, deleted requests included; hit the cap and new requests are rejected with a 429, so model your volume against the published examples before committing.
Verified 5d ago · liveness 75/100 · cite: rightaichoice.com/tools/logdog
- Mobile developers debugging network requests on a real device without cables
- QA engineers and testers who need live visibility during TestFlight or App Store build testing
- Distributed teams sharing debug sessions via a public link instead of zipped log files
- Product managers who want to observe real user-facing app behavior in the same session as engineers
- Backend or server-side debugging — LogDog is built for mobile apps
- Low-level packet inspection, TLS interception, or proxy rewriting — reach for Charles
- High-volume production logging teams that would burn through the metered traffic quota
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Skip LogDog if you need deep packet inspection or TLS interception rather than SDK-level request capture, or if you plan heavy production logging that would blow through traffic quotas.
Traffic is billed on total request size including headers and body — and deleted requests still count toward your quota, so cleanup doesn't refund usage.
LogDog's free tier (100 MB/mo, forever) and Team at $25/mo monthly or $250/yr fit indie developers and small mobile teams. Pro at $99/mo monthly or $990/yr and Enterprise at $249/mo monthly or $2490/yr suit higher-volume apps needing 30- or 365-day session history. Proxy tools like Charles cost far less but lack wireless real-time collaboration; request-based competitors may undercut LogDog's size-based metering if your payloads are large.
In short
LogDog — LogDog streams mobile app network requests, logs, and events from iOS and Android to a cloud dashboard wirelessly in real time. Best for Mobile developers debugging network requests on a real device without cables, QA engineers and testers who need live visibility during TestFlight or App Store build testing, Distributed teams sharing debug sessions via a public link instead of zipped log files. Free to start; paid plans from $25/mo.
What's new in LogDog
Checked 5 days agoAcross the latest 4 updates: 1 feature update, 2 launches and 1 changelog entry.
Landing Page v1.0.1 - New landing page video and status page
Redesigned landing page with a LogDog explainer video and a new system status page for transparency.
Release of the iOS Sample App v1.0.0
First release of the iOS sample app so developers can try LogDog quickly without integrating the SDK first.
Release of the Android Sample App v1.0.0
First release of the Android sample app for quick onboarding and evaluation.
Dashboard Improvements v0.2.0 - Enhanced mock response capabilities
Added a visual mock response editor with status code customization, header management, a response body editor with JSON validation, and mock state persistence.
What people actually say about LogDog — is it worth it?
We ran a structured research pass across product reviews, community discussions, and post-purchase forum threads to surface the patterns vendors won't publish themselves. Below: the recurring strengths, the hidden costs people mention most, and the cohort that consistently regrets adopting this tool.
33 mentions across 4 sources (Hacker News, YouTube, Product Hunt, Bluesky) · researched Jul 28, 2026.
Average across the 4 sources that answered — each source counts once, not each post.
- +Wireless debugging removes USB dependency entirely.
- +Supports debug and release builds, including TestFlight.
- +SDK is lightweight (<350 KB without screensharing).
- +Real-time log and network inspection from any browser.
- +API mocking with visual editor for status, headers, body.
- −Near-zero real community feedback for the debugging tool.
- −Name collision with popular security app causes confusion.
- −All data goes through cloud – no offline mode mentioned.
- −No third-party reviews to validate reliability.
- −Only supports iOS and Android, not other platforms.
- • Overages for data retention beyond free tier
Viability Score
How well maintained and how widely used is LogDog? Built from what the vendor actually publishes (docs, changelog, tutorials, integrations, pricing), whether the site is live, and how much real users discuss it. How we calculate this
Last calculated: October 2026
How we score →Key Features
- Real-time streaming of network requests, logs, and events over WebSocket
- Wireless cloud dashboard — no USB cable, survives app restarts
- iOS SDK in Swift with Swift Package Manager; Android SDK in Kotlin/Java
- One-line in-app debug UI via logDogSheet(isShown: true)
- Shake the device to open the debug popup and browse logs and requests
- Visual mock request editor with status code and header customization
- Mock any request with JSON, XML, HTML and other response formats
- Response body editor with JSON validation and mock state persistence
- Generate a public link to share a full debug session with your team
- Take screenshots and attach them to a debugging session
- Smart filtering to isolate logs and requests in seconds
- Timeline drilldown to investigate request load over time
- Multi-request selection with CMD/Ctrl+Click and CMD/Ctrl+A
- Export requests as JSON, CSV, or HAR
- Works with Xcode debug builds, Android Studio debug builds, TestFlight, and App Store builds
About LogDog
LogDog is a wireless real-time debugging tool for iOS and Android teams. You drop a few lines of SDK code into your app (Swift for iOS, Kotlin/Java for Android), initialize with an API key, and network requests, logs, events, and screenshots stream over WebSocket to a cloud dashboard. No USB cable, and no reattaching when the app restarts — it keeps working across Xcode and Android Studio debug builds, TestFlight, and App Store builds, which is where a lot of cable-based tooling stops being useful. The workflow centers on a cross-platform web dashboard that runs on Windows, macOS, and Linux. From there you get smart filtering to isolate a request fast, a timeline drilldown to see request load over time, and multi-request selection for bulk actions. A visual mock editor lets you return stubbed responses with custom status codes, headers, and bodies, validates JSON, persists mock state, and works with JSON, XML, HTML and other formats. Requests export as JSON, CSV, or HAR. Sharing is where LogDog separates itself from a solo proxy tool. You can generate a public link to a whole debug session instead of zipping log files, attach screenshots to enrich it, and hand it to QA or a product manager. A built-in debug popup — opened by shaking the device, integrated with a single line like `logDogSheet(isShown: true)` — lets you browse logs and requests inside the running app. It is aimed at mobile developers, QA engineers, testers, and product managers who need live visibility on real devices. The iOS SDK adds roughly 338 KB to a blank SwiftUI app (per LogDog's own Xcode 16.2 benchmark); screensharing is a separate pod, LogDogSDKWithScreenShare, that weighs far more at ~10 MB. Against Charles, LogDog trades low-level packet and TLS inspection for team sharing and zero cable friction.
Behind the Verdict
The pitch for LogDog is simple: stop tethering a phone to a laptop. Initialize the SDK, and requests, logs, and events stream to a browser dashboard in real time whether you're on an Xcode debug build, an App Store release, or a tester's TestFlight install. We'd reach for it specifically when the bug only shows up on someone else's device, or two builds after launch — the exact moments a cable can't help you. Where it earns its keep is the team layer. Public session links replace the zip-and-email ritual, screenshots annotate the session, and the mock editor lets a frontend dev unblock work while the backend endpoint is still half-built. The timeline drilldown is a nice way to catch spiky request load, and on-device shake-to-open popup saves a tab switch when you're mid-flow. Pass on it if your problem is a server. LogDog is mobile-app focused; there's nothing here for backend or infrastructure debugging. And if you need TLS interception, packet-level inspection, or proxy rewriting, Charles is still the tool — LogDog watches the request from inside the app, not the wire. Watch the meter. Billing is on total request size (headers + body), and deleted requests count. LogDog's own example: 5 KB requests at 1M/month lands you in Pro. Heavy production logging can burn quota fast, and once you hit the limit access to existing requests stays but new ones get a 429. Model your volume first. Session history is tier-bound: 7 days on Team, 30 on Pro, 365 on Enterprise. If you need to look a month back and you're on Team, that's an upgrade, not a config change. Teams wanting self-hosted or on-premise deployment should look elsewhere — this is a cloud service. The SDK weight is minor for most apps (338 KB on iOS) but the screensharing pod is a different story at ~10 MB. Enable
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Real-world workflow fit
Concrete scenarios for the personas LogDog actually fits — and what changes day-one when you adopt it.
You add the LogDog Swift Package to your Xcode project, initialize it with your API key and enable logs, network, and events, then run the app on a real iPhone.
Outcome: Requests, logs, and events stream into the web dashboard in real time; you open the timeline drilldown to find a slow endpoint and mock a fixed response to verify the fix without touching the server.
You install the TestFlight build with LogDog SDK included, shake the device to open the debug popup, and browse logs and requests inside the app during a test pass.
Outcome: You capture screenshots and share a public session link with the dev team, so nobody has to reproduce the bug or email log files.
You open a shared debug session link from a colleague and step through the captured requests and events in the dashboard.
Outcome: You can see what the app actually sent and received in the field, without installing Xcode or asking a developer to explain the logs.
Use Cases
- Debug network requests wirelessly in real-time on a physical device
- Mock API responses to test edge cases without modifying server code
- Share a read-only debug session link with colleagues instead of emailing log files
- Capture screenshots during a debugging session to document visual bugs
- Monitor app behavior from first launch to catch early install events
- Export request logs as HAR files for performance analysis
- Inspect logs and requests on-device via the shake-to-open debug popup during a field test
- Compare request load over time using the dashboard timeline drilldown
Limitations
- LogDog is a wireless debugging tool for iOS and Android apps; its SDK streams network requests, logs, and events over WebSocket to a cloud dashboard, and it supports mock responses, screenshots, session sharing, and exporting requests as JSON/CSV/HAR.
- Traffic is metered by total request size (headers + body) including deleted requests, and exceeding the plan quota causes new requests to be rejected with a 429 error (80% usage triggers a notification).
- The dashboard is a web app usable from Windows, macOS, and Linux, with a desktop app stated as planned but not yet available.
- No underlying AI model is named anywhere in the provided evidence.
as of 2026-10-03
Verification history
We have re-verified LogDog 9 times since . Each pass re-reads the vendor's own pages and re-checks every listed field against that evidence; passes where nothing had changed are marked as such.
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
Showing the 6 most recent of 9 verification passes.
Free to cite with attribution — this page re-verifies continuously.
12-month cost
Project the real annual outlay, including the implied monthly cost when only an annual tier is published.
Vendor list price only. Add-on usage, seat overages, and contract minimums are surfaced under Hidden costs & gotchas.
Plans compared
For each published LogDog tier: who it actually fits, and what it adds vs. the previous tier. Cross-reference the cost calculator above for projected annual outlay.
Free
$0/mo
Ideal for
Indie developer or student evaluating LogDog on a single app with light request volume
What this tier adds
Free entry point: 100 MB of traffic per month forever, real-time streaming, web dashboard, and public session sharing.
Team
$25/mo billed monthly or $250/yr billed annually
Ideal for
Small mobile team shipping TestFlight and App Store builds that wants live sharing and mock APIs
What this tier adds
Adds a higher traffic quota, 7-day session history, mock requests with status/headers/body, and JSON/CSV/HAR export.
Pro
$99/mo billed monthly or $990/yr billed annually
Ideal for
Growing app with higher request volume that needs visual mocks, screenshots, and 30-day lookback
What this tier adds
Adds a larger quota, 30-day session history, visual mock response editor with JSON validation, screenshots, and priority support.
Enterprise
$249/mo billed monthly or $2490/yr billed annually
Ideal for
Distributed engineering orgs running multiple apps that need long retention and custom traffic terms
What this tier adds
Adds the highest published quota, 365-day session history, custom pricing options, and team-scale debugging for distributed orgs.
Where the pricing makes sense
The company stage and team size where LogDog's pricing actually pencils out — and where peers do it cheaper.
LogDog's free tier (100 MB/mo, forever) and Team at $25/mo monthly or $250/yr fit indie developers and small mobile teams. Pro at $99/mo monthly or $990/yr and Enterprise at $249/mo monthly or $2490/yr suit higher-volume apps needing 30- or 365-day session history. Proxy tools like Charles cost far less but lack wireless real-time collaboration; request-based competitors may undercut LogDog's size-based metering if your payloads are large.
Setup time & first value
How long it actually takes to get something useful out of LogDog — broken out by persona, not the marketing-page minute.
iOS and Android SDK integration is a few lines of code — roughly 3 minutes per the vendor's getting-started flow, plus 1 minute to try the sample app. First value (data appearing in the dashboard) comes as soon as the app launches with the SDK. Mock-based debugging and session sharing add no further setup; screensharing requires the separate LogDogSDKWithScreenShare pod.
Switching to or from LogDog
How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.
- →From Charles: replace cable/wifi proxy interception with SDK-based streaming if you need wireless real-time collaboration rather than packet-level inspection
- →From Bugfender: port log calls to LogDog's SDK initialization, then use LogDog's mock editor and public session links for live team debugging
- →From manual console logging in Xcode/Android Studio: add the SDK and get the same log output in a shareable cloud dashboard
- ↗To Charles: switch to proxy-based interception if you need TLS inspection or packet rewriting
- ↗To Bugfender: if long retention at lower cost matters more than live mocks and screenshots
- ↗To self-hosted logging: if your policy forbids a cloud service — LogDog has no on-prem option
Resources & Guides
Tutorials & Learning
YouTube returned 6 videos for “LogDog”, and we withheld 6: 6 could not be judged, because “LogDog” is a single word that other videos use for other things. We are showing none, because we could not prove any of them are about LogDog.
Official links
Featured Head-to-Head Comparisons
Logdog vs Spider Cloud
LogDog and Spider Cloud serve entirely different use cases—LogDog is purpose-built for mobile app debugging, while Spider Cloud is for web data extraction at scale. Your choice depends on whether you need to debug network issues in iOS/Android apps (LogDog) or feed large volumes of web data into AI agents and RAG pipelines (Spider Cloud). Both have generous free tiers, but Spider Cloud’s pay-as-you-go model scales better for high-volume scraping.
Logdog vs Temporal Ai
LogDog is purpose-built for mobile developers who need wireless, real-time debugging with request mocking and session sharing—ideal for QA and testers. Temporal AI excels at orchestrating durable, fault-tolerant workflows for AI agents and microservices, making it the right choice for teams building reliable backend systems. Choose based on your domain: mobile debugging vs. backend orchestration.
Logdog vs Voyage Ai
LogDog and Voyage AI serve entirely different needs—LogDog is for mobile developers debugging network requests wirelessly, while Voyage AI provides embedding models for enterprise RAG. Choose LogDog if you're an iOS/Android developer needing real-time logs and request mocking; choose Voyage AI if you're building domain-specific search or RAG systems requiring high-accuracy, long-context embeddings. They are complementary, not competitive.
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