Compare Tesults vs TestDino. See how TestDino adds deep Playwright intelligence, AI failure classification, and MCP agent workflows.
Tesults is a test management platform that focuses on consolidating results across frameworks into a centralized view for stakeholders. The Tesults vs TestDino decision depends on how deep your Playwright integration needs to go. TestDino is a Playwright-focused test intelligence platform. Test cases live alongside their run history, manual runs, and exploratory sessions roll up under date-bound releases, and the entire test record is queryable by Claude Code, Cursor, or any MCP-compatible agent, so your AI coding tools aren't debugging blind.
Test management is just where TestDino starts. The reporting layer is shaped by how Playwright actually runs in 2026. Errors group by root cause across message, stack, and failure location. The Playwright trace viewer renders inline on every failure with DOM snapshots, network panel, and console logs. Each run is linked to its PR via a dedicated Pull Request view.
Tesults has its own focus. TestDino optimizes your CI/CD test suite and AI agent workflows.
Deep Playwright Integration
TestDino is built specifically for Playwright. Instead of just attaching raw .zip trace files like Tesults, TestDino renders the full Playwright trace viewer directly inline for every failed test, complete with DOM snapshots, network calls, and console output.
AI failure classification and Error Groups
TestDino automatically clusters failures across your entire test suite by message, stack trace, and location. It uses AI to label every failure as a Bug, UI Change, Unstable, or Setup Issue with confidence scores, so triage starts from a prioritized list.
MCP-native test access
The TestDino MCP Server gives Cursor, Claude Code, and Claude Desktop a direct line into your Playwright runs. Coding agents can debug failures with debug_testcase, query recent test runs by branch, and update manual cases directly from the editor.
Flat pricing model
Tesults charges on a per-user basis (billing for "active users"). TestDino charges a flat $39/month for 10,000 executions and includes your whole team, making it highly predictable for growing engineering departments.
Fragmented Trace Debugging
Tesults forces you to download raw .zip trace files and manually load them into a local trace viewer. TestDino renders the full Playwright trace viewer directly inline for every failed test.
Per-User Licensing Costs
Tesults uses an "active user" billing model that punishes organizations for granting wide visibility to engineering teams. TestDino uses a highly predictable flat monthly rate covering the whole team.
No Error Grouping or Project AI
While Tesults has basic AI answers, it does not offer project-wide rigid categorization (e.g., automatically tagging every failure as Bug vs Setup Issue) or group similar errors by stack trace and location.
No MCP Agent Ecosystem
Tesults lacks a dedicated MCP Server. AI coding agents like Cursor or Claude Code cannot natively query test runs, debug failures, or pull trace evidence directly into the IDE.
| | |
|---|---|---|
| Pricing (starts at) | $39/month (billed annually) | Varies by plan |
| Best for | Playwright test intelligence & management | General Analytics |
| Playwright integration | Native (trace viewer, error grouping, MCP) | Via reporters |
| Ease of use |  |  |
| One-step CI setup | ||
DASHBOARDS & REPORTING | ||
| Unified Playwright dashboard | ||
| Multi-tab test run detail | Summary, History, AI Insights & more | |
| Pull request insights | ||
| Test Explorer | Basic test listing | |
| Real-time streaming | ||
| Scheduled PDF reports | ||
TEST ANALYTICS | ||
| Analytics: trends & patterns | Basic trend graphs | |
| Code coverage, per-file | ||
| Environment analytics | ||
DEBUGGING & EVIDENCE | ||
| Built-in Playwright trace viewer | ||
| Screenshots & video replay | partial | |
| Console logs (per test) | partial | |
| Visual diff comparison | ||
| Smart error grouping | ||
| Flaky detection | ||
| Playwright Tags and Annotations | Basic tags | |
CI/CD OPTIMIZATION | ||
| GitHub CI Checks quality gates | ||
| Branch to environment mapping | ||
| Sharded / parallel run support | Supported | |
| Native CI breadth | GitHub, GitLab, Azure DevOps, TeamCity, Bitbucket, CircleCI, Jenkins | Framework agnostic |
| Self-managed GitLab | ||
TEST MANAGEMENT | ||
| Test case management (suites, ownership) | ||
| Bulk test creation (PRDs/Jira/stories) | ||
| Release tracking (releases/cycles/sprints) | ||
| Exploratory/manual sessions | ||
| Import/export test cases | ||
AI & AUTOMATION | ||
| Local MCP (IDE agents) | ||
| Remote MCP (web AI) | ||
| AI test run summary on GitHub PRs | ||
| AI test suite audit (audit score + report) | ||
| AI failure classification | ||
INTEGRATIONS & COLLABORATION | ||
| Bug tracking breadth | Jira, Linear, Asana, monday | Jira/Basic |
| Slack notifications (run summaries) | ||
PLATFORM & SECURITY | ||
| Public API & CLIs | REST API + CLI | REST API |
| Project-level AI controls | ||
| Compliance & certifications | ISO 27001, SOC 2 Type II, GDPR | Varies |
PLANS & PRICING | ||
| Plan tiers | Free, Pro, Team, Enterprise | Paid tiers |
| Free executions | 5,000/month | Limited trial |
| Support | Chat + Slack Connect + Priority email | Standard Support |
| Start for Free | Visit Tesults | |
Feature-by-feature breakdown showing how each tool handles the areas that matter most to testing teams.
Failed tests display error messages extracted from the test run. Playwright traces, screenshots, and videos are pushed to the platform as attachments. You cannot view Playwright traces inline; you must download the .zip file and manually load it into a local trace viewer.
It incorporates AI to provide "instant answers" about test runs, helping teams quickly identify what broke and what specifically changed. It uses automated regression analysis to track historical trends and isolate the exact time an issue was introduced. However, it does not offer rigid project-wide categorization (e.g., automatically tagging every failure as a Bug vs. Setup Issue).
debug_testcase, and file the Jira or Linear ticket without leaving the IDE.It allows you to access test run data via its own AI agent integration, giving you answers about test health. However, there is no dedicated MCP Server, meaning you cannot natively bridge your Playwright trace evidence and manual test lists directly into IDEs like Cursor or Claude Code.
It has strong test management features via "Test Lists". You can group test suites, assign priority values (from 0/Highest to 4/Lowest), and assign manual test runs to specific team members. It acts as a centralized hub to track manual executions alongside your Playwright results, with solid Jira integration.
Purpose-built capabilities that help Playwright teams ship faster and debug smarter.
Where each tool leads, and where it falls short.
Tesults is a framework-agnostic test reporting platform designed to consolidate automated and manual test data into one view.
Framework Agnostic
Excellent if your team uses a mix of Selenium, Appium, Cypress, and Playwright and needs everything in one place.
Manual Test Tracking
Built-in features for assigning and tracking manual test execution alongside automated runs.
Active User Billing
Pricing automatically adjusts to only charge for team members who actually log into the platform each month.
TestDino is a Playwright-native AI test intelligence platform that brings inline trace viewing, AI classification, and failure analytics into one focused reporter.
AI-Powered Failure Classification
Every failure is tagged as Bug, UI Change, Unstable, or Miscellaneous. Triage starts at the top of a prioritized list, not the middle of a log.
Flat Pricing Model
Highly predictable pricing for engineering departments, avoiding per-user or "active user" billing as your team scales.
Cross-Run Flakiness Detection
Retry analysis plus pattern detection across run history. Flakes get caught even when CI retries are not enabled.
TestDino MCP Server
It lets AI coding agents query Playwright test runs, debug failures with full retry and artifact context, detect flaky tests, and manage manual test cases and suites, all from the editor.
Verified reviews from QA and engineering teams running Playwright in production.
Analyzing failed Playwright runs in CI used to eat up a lot of our time. TestDino solved that with a centralized dashboard that pulls in screenshots, logs, and failure trends in one place. What's been most useful is the automatic grouping of failures, since instead of checking each failing test individually, we can immediately see patterns and likely causes. It's made triaging failures, and identifying which tests are simply flaky, dramatically faster.
Lead Software Engineer
We inherited an existing test suite without much context on how it was built, and TestDino gave us a real way to take ownership of it. It shows us clearly which tests are the slowest, the flakiest, and the ones failing most often, which has been essential for knowing where to focus our effort. It's given us the visibility to understand the current state of the code and steadily improve its reliability.
Senior QA Engineer at Penpot by Kaleidos
I monitor everything my tests do, from the full list of tests to detailed error screenshots. The GitHub integration is smooth, so commit hashes, CI runs, and HTML reports open straight from the dashboard. I use TestDino almost every day, and it has improved the quality of our automation code.
Lead QA Automation Engineer
Before TestDino, we were manually digging through raw reports to catch flaky and failing tests, and it took a lot of time. Now everything is stored and analyzed automatically, with no extra setup layers needed. The installation itself was simple, and it's made spotting flaky tests a much faster, cleaner process for our team.
Test Automation Team Lead
TestDino gives us a clean dashboard and reporting setup that's genuinely easy to work with, packed with useful analytics. It's effectively replaced what used to be a custom Power BI dashboard for us, while being far simpler to set up and maintain. The platform makes it easy to centralize and visualize results, so tracking trends and understanding failures no longer takes extra effort.
QA Automation Engineer
Reviewing our Playwright test results used to mean sifting through raw output to figure out what actually broke. TestDino changed that by giving us a clear, structured view of every run. Failed tests are easy to spot right away, and debugging that used to take real effort now moves a lot faster.
Automation Engineer
Enterprise-grade security so your team can focus on shipping instead of worrying about data.
Secure authentication, role-based access control, and data encryption safeguard your test data in transit and at rest.
Persistent analytics with historical tracking deliver reliable insights about test performance, coverage, and release readiness.
Automated backups and retention policies maintain a complete history of test data. Project-scoped access prevents unauthorized changes.
Tesults charges per active user. TestDino charges a flat monthly fee with a managed dashboard, AI, and MCP included.
Tesults charges based on the number of team members who actively access the dashboard in a given month.
Framework-agnostic reporting
Automated and manual test tracking
Built-in Jira integration
Active user billing automatically manages costs
For dev teams shipping to production. Flat pricing with managed dashboard, AI, and MCP included.
10,000 test executions per month
Up to 3 users
60-day data retention
AI failure classification with confidence scores
MCP Server with test case writes
Embedded trace viewer and debugging features
PR view and CI/CD optimization
Integrations with Jira, Linear, Asana, Slack
Stop wasting time on
flaky tests
No, they serve slightly different purposes. Tesults is a framework-agnostic platform that consolidates reports from many different testing tools (Playwright, Selenium, etc.) and offers manual test management. TestDino is purely built for Playwright, providing deep trace intelligence, AI classification, and MCP agent integration that generic tools cannot match.
Side-by-side comparisons of features, pricing, and integrations to help you pick the right testing tool.
