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Opsis

Freemium

Opsis is an AI-powered QA platform that detects bugs from real user sessions for developers.

27 visitors 5 hours ago

Struggling with bugs that only appear for real users? Opsis analyzes real user sessions to surface issues before they impact customers, capturing rage clicks, errors, and failed checkouts with video, screenshots, traces, and logs.

Stop Releasing with Hidden Bugs

See concrete evidence that bugs exist, so your team can triage and fix faster.

Evidence-Driven Fixes

Review safe, copy-paste fix prompts for Cursor, Claude Code, Windsurf, Bolt, Lovable, or Replit and re-verify quickly.

Pre-Deploy Security & Compliance

Run pre-deploy browser checks, OWASP scans, authenticated crawls, and PII redaction to protect releases.

Continuous Monitoring & Alerts

Schedule scans and receive Slack/Linear or email alerts to stay informed during releases.

Verification Options:

1.

Email Verification: Verify ownership through your domain email.

2.

File Verification: Place our file in your server.

After verification, you'll have access to manage your AI tool's information (pending approval).

Freemium plan available with limited usage; no explicit trial period for premium features mentioned

Quick verdict

Based on 2 reviews

Read all reviews

Pros

  • Hero Feature: The evidence suite attaches videos, screenshots, traces, and logs to every bug report, making issues verifiable.
  • Automated AI analysis surfaces reproducible bugs from real sessions in minutes.
  • Copy-paste fix prompts give me ready-to-run patches for my coding tools.

Cons

  • The AI sometimes flags noisy interactions as issues, requiring manual filtering.
  • A few false positives on complex gestures slow me down.
  • PII redaction can mask helpful debug data if left too aggressive.

Customer Reviews for Opsis

Overall Analytics

Comprehensive review insights and historical performance

Very Positive (2) 4.5/5 2 reviews 100% recommend โ€” Monthly growth

6-month timeline

Most helpful

Mia Martinez
Mia Martinez 0

I run a small app with a weekly release cadence. Opsis analyzes real user sessions with AI and surfaces bugs with videos, screenshots, traces, and logs, so I can prove issues without endless back-and-forth. The evidence suite is gold for triage, and copy-paste fix prompts speed up patches. Pre-deploy checks catch regressions early; signal detection guides prioritization. Sometimes the AI flags noise, but tuning helps.

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Recent Review Statistics

Sentiment analysis and trends from the last Last 30 days

4.5/5
2 reviews
Very Positive (2) New reviews
Trend: Steady Velocity: 0.1/day Engagement: 0%
Velocity utilization 14%
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Showing 1 - 2 of 2 reviews .

User avatar for Mia Martinez

Mia Martinez

Trusted Reviewer
4.0
Recommends

Real sessions, instant proofs, and fast fixes

Used for week to month

What I liked

  • Hero Feature: The evidence suite attaches videos, screenshots, traces, and logs to every bug report, making issues verifiable.
  • Automated AI analysis surfaces reproducible bugs from real sessions in minutes.
  • Copy-paste fix prompts give me ready-to-run patches for my coding tools.
  • Pre-deploy checks catch browser regressions and security concerns before release.

What could be better

  • The AI sometimes flags noisy interactions as issues, requiring manual filtering.
  • A few false positives on complex gestures slow me down.
  • PII redaction can mask helpful debug data if left too aggressive.

I run a small app with a weekly release cadence. Opsis analyzes real user sessions with AI and surfaces bugs with videos, screenshots, traces, and logs, so I can prove issues without endless back-and-forth. The evidence suite is gold for triage, and copy-paste fix prompts speed up patches. Pre-deploy checks catch regressions early; signal detection guides prioritization. Sometimes the AI flags noise, but tuning helps.

Was this helpful?
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User avatar for Daniel Harris

Daniel Harris

Trusted Reviewer
5.0
Recommends

Agency-ready bug reports with multi-client support

Used for 3-6 months

What I liked

  • Hero Feature: Evidence suite enables client-ready bug reports with videos, screenshots, traces, and logs.
  • Signal detection highlights critical flows like rage clicks and checkout failures across multiple clients.
  • PII redaction protects data across session artifacts.
  • Re-verify fixes to ensure issues can't be reproduced.

What could be better

  • Pricing tiers for agencies handling many clients feel rigid; per-client billing would help.
  • Some clients' data coverage requires extra setup to avoid missing logs.
  • Large session videos can be slow to load in the browser.

I work as a freelance QA for several clients, and Opsis lets me build evidence-based bug reports directly from real sessions. The ability to export videos, logs, and traces into a client-friendly package is a game changer. Signal detection highlights failed checkouts and frontend errors across apps, and the copy-paste fix prompts give me solid starter patches. PII redaction keeps client data safe, and re-verification helps ensure issues stay gone. Pricing for multiple clients could be smoother, but the speed boost is real.

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Discussion

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How it works

How Opsis Works In 3 Steps?

  1. Step 1

    1. Connect a session source

    Link a session source so Opsis can analyze real user sessions for bugs.

  2. Step 2

    2. Review detected issues

    Review video, screenshots, traces, and logs to reproduce issues.

  3. Step 3

    3. Paste fixes & re-verify

    Paste the safe fix prompts into your editor and run re-verification.

Direct Comparison

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Opsis: Features, Advantages & FAQs

Explore everything you need to know about Opsis

Core Features
  • Automated AI analysis: Quickly identifies bugs from real user sessions
  • Evidence suite: Videos, screenshots, traces, and logs prove issues
  • Copy-paste fix prompts: Generate ready-to-use fixes for coding tools
  • Pre-deploy checks: Browser checks and security scans before releases
  • Signal detection: Rage clicks, errors, and failed checkouts highlighted
  • PII redaction: Protects sensitive data in session artifacts
Advantages
  • Automated AI analysis of real user sessions
  • Video, screenshots, traces, and logs proving detected bugs
  • Safe, copy-paste fix prompts for popular coding tools
  • Pre-deploy browser checks and re-verification after fixes
  • OWASP security scans and authenticated crawling
  • Scheduled scans with Slack, Linear, and email alerts
Use Cases
  • Find and prove bugs in a new app using real user sessions
  • Catch checkout failures and frontend errors early
  • Run pre-deploy browser checks before releases
  • Provide agencies evidence-based bug reports for multiple clients
  • Generate ready-to-paste fix prompts for coding tools
  • Re-verify fixes to ensure issues cannot be reproduced
Best For
  • Developers, QA Engineers, Agencies, Freelancers, Startups, Teams

Integrations

Works with the tools you already use

PostHog, Sentry, Slack, Linear
Best For

Developers, QA Engineers, Agencies, Freelancers, Startups, Teams

Skill Level
Intermediate

Frequently Asked Questions

Developed by: Opsis

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