Your AI says "done." Nocticas is the part that can't tell you what you want to hear: an agent drives a real browser through your app and returns an honest pass/fail with screenshots, then pins that passing run into a free, deterministic gate with no AI in the loop — so it can't drift, can't cheat, can't gaslight you. A green means green.
MCP-native · pinned gates run free · tests that can log in · weak points on every run · no false greens
And it sees what a code scanner can't. Already past your login in a real browser, Nocticas flags runtime weak points — leaked secrets, missing headers, sessions that survive logout, force-browse — free on every run. See what we flag →
Because a Playwright MCP is a capability, not a verdict. It drives a browser — but the same agent that wrote your feature is the one grading it, live, with the model in the loop. That's exactly where an agent hard-codes the test, asserts on what it already knows passes, and hands you a green. You don't get a verifier. You get the author marking its own homework.
Nocticas runs the smart agent once, then pins that exact walkthrough into a deterministic re-play with no AI in the loop — it physically can't drift or please. Plus a real OTP/magic-link inbox so it actually gets past your login. Capability is cheap. A verdict you can trust is the product.
Two engines, one workflow — exploratory authoring that costs a flat 20 credits, then a repeatable gate that runs free within your allowance.
Give the agent a natural-language objective. Claude drives a real Chromium through the flow like a human QA tester — through your login, your forms, your checkout — and returns an honest pass/fail with screenshots. Declare post-conditions and they run as real assertions; one fails, the verdict flips.
Freeze the passing run into a model-free step script. No tokens, no drift, hard assertions — re-runs are free within a generous monthly allowance, on every plan. The same gate that guards your weekend build grows into your team's check on every push.
One line, and Claude Code or Cursor verifies exactly what it just shipped — reads the verdict, patches its own code, and calls Nocticas again. Loop until green, no human handoff.
Especially the things AI-built apps are full of — logins, flaky dependencies, UIs that drift, and exposure you can't see.
A first-class MCP server, one-line install, an "Add to Cursor" deeplink. The agent that built your feature calls Nocticas to verify it — no human in the loop.
Pinned re-runs are exact-replay with no AI in the loop — they can't drift or tell you what you want to hear. Mocked, replayed, or self-healed runs are loudly stamped, never silent. (Self-healing rebinds only on a unique, stable id and flags the run — healing that can lie is just a slower false green.)
You can't test the functionality without getting past the login screen — so we got past it. A built-in test inbox catches real OTPs and magic-links, so auth-gated flows actually get exercised. Zero config.
Agentic to explore, a model-free deterministic gate to ship. The agentic verdict is a flat 20 credits; the pinned gate re-runs free within your allowance — the right cost at each stage.
Already inside a real browser and past the login, Nocticas surfaces the runtime exposure a code scanner can't see from outside: missing security headers, insecure cookies, exposed secrets (redacted), mixed content, source maps, verbose error leaks. The runtime complement to a static scanner — a second pair of eyes, not a security certificate. Findings never flip your verdict. Free on every run; paid plans add deep exposed-secret scanning on domains you verify, plus scheduled monitoring that pings you the moment a new weakness appears.
Every run shows its exact credit cost up front. Prepaid credits and hard caps — your agent physically can't run up a surprise bill.
Drop the gate into CI and Nocticas re-runs your pinned flows on every pull request — catching regressions in the paths that matter before they merge. Deterministic, no AI in the loop, and free to run on public repos.
A red verdict fails the build. Works with any CI via a one-line script — no GitHub Action required.
We bet our own releases on it. We don't ship a green we don't trust — so we built the tool that proves it.
Prepaid credits, hard caps, no surprise bills. Usage-based, not seat-based — because an AI agent is often the one using it.
Also: Team $99/mo (2,500 cr · 50k det runs · 10 GB) · Scale $249/mo (7,500 cr · 200k det runs · 100 GB) · Enterprise. Live details on the pricing page.
Get a green you can actually trust — and a free map of where your app is exposed — on the very run you were already going to do.
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