One AI agent for all of QA.
Requirements to test cases, automation to runs, coverage to reports: Ordel plans, executes, and remembers your entire QA. Drive it from your coding agent, or let it run on its own.
claude mcp add --transport http ordel https://ordel.io/api/mcp
Your QA stack costs more every quarter it survives.
Five vendors. Zero integration.
Jira for management. Selenium for automation. JMeter for load. Postman for APIs. Custom scripts for data. Five bills, five UIs, no single source of truth. Nothing trustworthy to show leadership.
A 3-pixel button move breaks hundreds of tests.
40–60% of your automation budget is spent fixing tests that were passing yesterday. Before you write a single new test, you’re paying rent on the old ones.
AI that only writes the opening line.
Copilot drafts a test. Who runs it? Heals it next Tuesday? Classifies the failure? Files the defect? Writes the report? Code-generation copilots get you off the blank page, then stop.
You need 10× the tests. You won’t get 10× the people.
Ship velocity is up and to the right. QA headcount is flat or down. Manual testing has a ceiling, and you’re standing on it. Performance testing alone eats 2–3 days per scenario.
It does the work. You approve it.
Ordel is not a test tool with an AI button. It is an agent that maps your app, writes and runs the tests, heals them when the app changes, and files what it finds. Every action is recorded, every change is yours to approve, and every one is revertible.
What the agent does, and what you do.
Claude Code and Cursor can test with it.
Ordel is an MCP server. Your coding agent can start cycles, read failures, propose fixes, file and close defects, and pull reports, through the same approval loop. One line to connect:
claude mcp add --transport http ordel https://ordel.io/api/mcp
Generate. Execute. Heal.
Analyze. File.
Five beats of an AI-native test lifecycle. Every one used to be somebody's job title. Your team does the one part that matters: set the standard.
Generates.
A requirement goes in. Test cases come out.
Executes.
They run at scale, cloud or local, with a live feed.
Heals itself.
When the UI shifts, the tests fix themselves and keep running.
Analyzes.
You learn what broke and why, not just that it did.
Files defects.
A pre-filled defect lands in your tracker, ready to triage.
Intent or code. Cloud or local. One engine.
Build tests by intent, by recording, by AI exploration, or in plain code. Run them in the cloud or on your own infrastructure. Every element and reusable module lives in one shared repository.
A living map of your entire application.
Crawled by AI, shared across every test. The graph is the single source of truth: every element, page, and flow lives here.
Three tries before we ask the AI.
CSS → a11y role → fuzzy match. If all fail, an LLM reads the live DOM against element history and proposes a heal, with a confidence score.
Reusable like Lego.
Login, search, checkout: package any flow as a module. Drop it into any test. Maintained in one place, used everywhere.
Your functional tests, now load tests.
Recorded flows convert to k6. AI correlates the tokens, you edit any request in the browser, and every run is judged by statistics, not vibes.
Statistics decide pass/fail.
Each transaction is gated against a rolling baseline of your own previous runs. A static threshold can't tell drift from noise; the statistical gate can.
Put your runs side by side.
Most load tools show you one run at a time. Ordel's comparison grid puts multiple runs side by side: every transaction a row, every run a column, every cell coloured by drift against the baseline you pick. Flip the metric (avg, p95, p99, throughput, error rate), and a trend sparkline per transaction shows where you're really heading. Promote any run to baseline with a click; the statistical gate re-judges against it.
Validate the data. Test the pipes.
The data behind every screen gets checked at the source. The APIs underneath get their own suite. Same agent, same graph.
Compare anything to anything.
Postgres to Excel, MSSQL to an API response. AI reads both schemas and proposes the column mapping; tolerance rules decide what equal means: 2% drift on price is fine, one cent on tax is not. Or just type "ensure no null customer IDs" and the check builds itself. Runs on a Local Runner next to your databases, so data never leaves your network.
APIs are tests too.
Build requests by hand or import curl, OpenAPI, Postman collections, or HAR, including the captures your perf recorder already made. Assertions are visual (status, time, JSONPath, schema) with a code escape hatch. Auth profiles (OAuth2, SigV4, mTLS) attach anywhere; secrets live in a vault, never inline.
Performance, Data, and API testing are included in Pro. See pricing →
Every artifact, linked.
From requirement to report, every artifact stays bound to the next, and the AI does the work at each step. Your team keeps the ledger honest.
Human intent. Machine steps.
One layer reads like a story for stakeholders. The other binds to real elements for the runner. Both stay in sync, automatically.
Requirement to report.
Customize every layer.
Models, fields, rules, automation, infra. Every layer ships ready, and bends to how your team works.
Hosted to start. Your own keys when you want, routed per project.
Any entity, any type. Wired into filters, reports and AI context.
Prompts, guardrails and evals. Tested in a sandbox before they go live.
Schedule runs, or trigger on Jira tickets, PR merges and deploys.
CLI for Jenkins, GitHub Actions and GitLab CI. Your machines, your network.
Management tools don't execute.
Automation tools don't manage.
Rivals caught up on the basics. Only Ordel runs the whole cycle, plus the parts no one else ships.
Comparison reflects vendor documentation as of 2026-04. Competitors' AI features verified: TestRail Copilot, mabl Auto-generated tests, Katalon StudioAssist, Testim AI. A missing dot reflects a feature the vendor does not ship today.
One price per person. The agent is included.
Management, automation, healing and the MCP server on every plan. Professional adds performance and data testing, and lets you bring your own models.
The agent, the recorder, and the whole management ledger. Hosted AI included.
- →Unlimited users
- →Unlimited projects and test cases
- →20 GB storage
- →Cloud + local execution
- →Self-healing · MCP · audit log
- →Jira, Linear, GitHub, Azure DevOps
Everything in Starter, plus the layers under the UI and AI you control.
- →Unlimited projects and test cases
- →100 GB storage
- →Performance testing
- →Data and API testing
- →Custom AI · prompts + guardrails
- →Priority execution queue
Ordel governed for scale. On-prem, your own models, full compliance.
- →Unlimited everything
- →Everything in Professional
- →SSO · SAML
- →On-prem / custom LLM
- →Dedicated SLA
Stop maintaining tests.
Start setting the standard.
Fourteen-day free trial on every plan, cancel anytime. Point it at your app, accept the map, and approve the first test it writes.
claude mcp add --transport http ordel https://ordel.io/api/mcp