
Zipy is an error monitoring and session replay platform for web and mobile applications. It captures client-side exceptions, JavaScript errors, network failures, and performance anomalies while recording deterministic session replays so engineers can see the exact user interactions that led to a bug. Product, QA, and engineering teams use Zipy to reduce time-to-resolution for customer-reported issues and to prioritize work based on impact.
Zipy focuses on combining automatic issue grouping with high-fidelity replay and rich contextual metadata such as console logs, network traces, DOM snapshots, and local state. That combination makes it possible to reproduce problems reliably without long back-and-forth between support and engineering. Zipy also provides integrations with issue trackers and collaboration tools so detected problems flow into existing workflows.
Target users include frontend engineers, QA teams, SREs concerned with client-visible reliability, and product managers who need to quantify user impact. Zipy is particularly useful for single-page applications, complex frontends, and hybrid mobile apps where reproducing client-side issues from text bug reports is time consuming.
Zipy captures runtime errors, exceptions, and performance signals from browsers and mobile SDKs, then correlates those signals with session replays that show the UI state and user interactions leading up to the problem. Core capabilities include deterministic session replay (frame-by-frame or event-driven), automatic grouping of related errors, and prioritized alerts based on user impact and frequency.
The platform also collects contextual metadata such as stack traces, source maps, network request logs, console output, feature flags, and user identification (where permitted). This metadata is attached to each issue and replay so developers can see the exact code path and request context. Zipy supports full-text search across error titles, messages, and custom tags to help teams locate related incidents.
Operational features include bucketed rate limiting, sampling controls for session replays, environment segmentation (staging vs production), customizable alert thresholds, and role-based access controls. Zipy provides dashboards for adoption metrics, error trends, user impact analytics, and release-annotated timelines to connect deploys with regressions.
Zipy offers these pricing plans:
Pricing is usually offered both monthly and annually with discounts for annual commitments; common practice is a reduction of 15–30% when billed annually. Check Zipy's current pricing for the latest rates and enterprise options.
Zipy starts at $29/month for the Starter plan. Monthly billing is available for organizations that need flexible seats or burst capacity; usage-based add-ons (extra replays or event volume) are typically billed on top of the base plan.
Stripe or credit card billing is commonly supported for Starter and Professional tiers, while Enterprise customers receive invoiced contracts. Check Zipy's current pricing for updated monthly billing options and volume discounts.
Zipy costs $299/year for the Starter plan when billed annually at the commonly offered discount level (equivalent to roughly two free months compared to month-to-month). Professional annual subscriptions commonly fall in the $999/year range depending on included quotas and seats.
Enterprise contracts are negotiated annually with custom terms for retention, replay volume, and support. Always verify current annual rates directly on Zipy's website or by contacting their sales team.
Zipy pricing ranges from $0 (free) to custom enterprise rates. Small teams or individual projects can begin with the Free Plan, paid plans typically start around $29/month, and scaling teams pay more for higher replay quotas and longer retention. The primary pricing drivers are session replay credits, event volume, retention window, and required support or compliance features.
Zipy is used to reproduce, prioritize, and resolve client-side defects by combining deterministic session replay with error telemetry. Product teams use it to validate bug reports, QA to confirm fixes against real user interactions, and engineering to reduce mean time to resolution by removing guesswork from bug reproduction.
Typical workflows include attaching a Zipy replay and error context to a new issue in the team's tracker, triaging regressions after a release using release-scoped dashboards, and monitoring top-impact errors that affect conversion funnels. Zipy is also used to validate bug fixes—teams can compare pre- and post-deploy error rates and sample replays to confirm resolution.
Beyond bug fixing, Zipy helps product analytics and UX research by surfacing recurring friction points in user flows. Teams can quantify how many unique users were affected by a given client-side failure and prioritize remediation based on business impact rather than raw error counts.
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Operational trade-offs include choosing sampling rates to balance signal quality against cost, configuring redaction rules to protect user privacy, and integrating Zipy into existing incident workflows to avoid duplicate alerts.
Zipy commonly provides a Free Plan and short-term trials of paid tiers so teams can validate replay fidelity, retention, and integrations before committing. The Free Plan usually includes limited session replays and shorter retention so you can test core features without a paid subscription.
Paid trials often unlock Professional-level quotas temporarily so engineering teams can validate that Zipy reproduces production issues at scale. Trials also let product teams evaluate dashboards, alerting, and third-party integrations with real data.
To start a trial or activate the free tier, teams typically sign up on Zipy's website and install the client SDK for web or mobile. Check Zipy's current pricing or the platform sign-up flow to confirm trial availability.
Yes, Zipy offers a Free Plan that enables basic error capture and a limited number of session replays intended for evaluation or small projects. The Free Plan is useful to verify instrumentation and core functionality before upgrading to paid tiers for production workloads.
Zipy provides SDKs and an ingestion API for client-side telemetry collection from browsers and mobile apps. SDKs are typically available for major platforms (JavaScript, TypeScript frameworks, React, React Native, and common mobile SDKs). The ingestion API accepts structured event payloads, attachments for replays, and metadata for user and session attributes.
The API supports programmatic creation of issues, custom tagging, and retrieval of replays and error events via REST endpoints. This enables automation such as exporting high-priority issues to on-call systems, bulk exporting for analytics, or pulling replays to attach to incident reports. Check Zipy's documentation for specific endpoints and SDK setup instructions at their API and developer docs.
Typical API capabilities include:
Zipy is used for client-side error monitoring and session replay to help teams reproduce and fix frontend and mobile issues faster. It attaches deterministic replays and contextual telemetry to errors so engineers can see the exact user interaction that led to a problem. Teams use Zipy to triage regressions, validate fixes, and prioritize work by user impact.
Yes, Zipy provides deterministic session replay synchronized with error events and network traces. The replay shows UI state and user events leading up to an error, enabling engineers to reproduce issues without extended debugging cycles.
Zipy integrates with common issue trackers and collaboration tools so detected problems can be pushed into existing workflows. Typical integrations include creating tickets in trackers and sending notifications to chat or incident channels; check Zipy's integrations documentation for supported services and configuration steps.
Yes, Zipy supports mobile SDKs for hybrid and native mobile applications, enabling error capture and session replay on devices. Mobile support includes crash and non-fatal error reporting, network capture, and user session context to reproduce device-specific issues.
Zipy starts at $29/month for the Starter tier with limited replay quotas and 30-day retention; higher tiers and enterprise plans increase quotas and retention. Actual per-month costs depend on replay usage, event volume, and optional add-ons.
Yes, Zipy offers a Free Plan that includes basic error capture and a limited number of session replays for initial evaluation. Paid trials of higher tiers are commonly available to validate capabilities with production traffic.
Retention varies by plan—starter plans typically offer 30 days, professional plans around 90 days, and enterprise plans offer customizable longer retention. Retention can also be adjusted with archiving or export options depending on contract terms.
Yes, Zipy supports data redaction and masking rules to prevent storage of PII or sensitive fields in session replays and telemetry. Teams must configure redaction policies and validate instrumentation to meet compliance requirements.
Yes, Enterprise plans include SSO and advanced security controls such as role-based access, audit logs, and contractual security assurances. For regulated industries, Zipy typically supports additional compliance features through enterprise contracts.
Zipy provides SDKs for major frontend and mobile platforms including JavaScript frameworks, React/React Native, and common mobile environments. The SDKs capture errors, replays, and contextual metadata; consult Zipy's developer docs for the full SDK list and installation examples.
Zipy hires across engineering, product, design, and customer success roles focused on observability, front-end tooling, and privacy-aware telemetry. Engineering roles commonly require experience with front-end performance, SDK design, streaming replay systems, and privacy-by-design practices.
Careers pages typically list remote or hybrid roles, expectations for hands-on product development, and benefits details. Check Zipy's careers page for current openings and candidate requirements.
Zipy may offer partner or reseller programs for agencies and consultancies that help instrument and scale observability for client applications. Affiliate or partner programs commonly include referral credits, co-marketing support, and onboarding assistance for customers.
If you are an agency or consultant, check Zipy's partnership page or contact their sales team to discuss affiliate terms and referral incentives.
User reviews for Zipy can be found on software review platforms and developer community forums. Look for first-hand accounts on sites that cover observability tools, as well as engineering blogs that compare session replay and error monitoring solutions.
For the most current and verified user feedback, search for Zipy reviews on developer-focused review sites and check change logs and release notes in Zipy's documentation to verify feature updates.