AI-native E2E testing

Your AI writes the code.
Nocticas makes sure it works.

An AI agent drives a real browser through your app from a plain-English objective and returns a trustworthy pass/fail verdict — then pin the passing flow to a model-free $0 deterministic gate. You sleep; the agent keeps watch.

MCP-native · Chromium · self-healing · transparent per-run cost

objective: "log in, create a client named Acme, confirm it appears"
goto /login → fill credentials → submit
wait for dashboard, click "New client"
fill "Acme", save → assert row "Acme" visible
PASS · 3 steps · verdict trustworthy$0.011 · haiku
How it works

Author with the agent. Pin to a $0 gate. Let your agent verify itself.

Two engines, one workflow — exploratory authoring that costs tokens, then a fast, repeatable gate that costs nothing.

01 / AGENTIC

Describe it in English

Give Nocticas an objective. An LLM drives a real Chromium through the flow like a human QA tester and ends with a pass/fail verdict — with screenshots and a full trace.

02 / DETERMINISTIC

Pin it to a $0 gate

Freeze the passing run into a model-free step script. No tokens, fully repeatable, hard assertions — the CI gate you run on every commit.

03 / MCP-NATIVE

Your coding agent calls it

Nocticas speaks MCP, so the agent that built your feature can verify it the moment it ships — no human in the loop.

# add the server, then your agent does the rest
claude mcp add --transport http \
  nocticas https://app.nocticas.com/mcp
Built for agentic-native builders

Everything you need to trust an AI-built app

Especially the things vibe-coded apps are full of — logins, flaky dependencies, and UIs that drift.

Two engines, one flow

Agentic exploration to author, a model-free deterministic gate to run forever. The right cost at each stage.

MCP-native

A first-class MCP server. Your coding agent calls Nocticas to verify exactly what it just built.

Self-healing locators

When the UI drifts, a pinned step rebinds to the right element — fail-closed, never to the wrong one.

Visual regression

Pixel-diff against per-project baselines and freeze flaky network with HAR record & replay.

Tests that can log in

A built-in test inbox catches real OTPs and magic-links, so auth-gated flows actually get exercised.

Transparent cost

Every run shows its exact token cost. Prepaid credits and hard caps mean no surprise bills.

Pricing

Start free. Pay for what your agents run.

Usage-based, not seat-based — because an AI agent is often the one using it.

Free
$0
  • 1,000 deterministic runs / mo
  • 20 AI run-credits / mo
  • Core engines + MCP
  • Community support
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Business
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  • High-volume runs + dedicated pool
  • SSO, audit logs, custom retention
  • SLA & priority support
  • Security review & DPA
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Ship AI-built apps with confidence.

Let the agent that wrote your code prove it works — while you sleep.

Get started free