Built for teams already living in
Keys out of chat. Proof in the pull request.
your coding agent can write the check. You shouldn't have to paste the keys.
You've been proving integrations in the thread. Reviewers can't trust that, and they shouldn't have to. Parakh runs the check with keys out of chat, and hands back something you can drop on the PR.
ConnectNo dashboard to learn. We'll write when you can connect.
01
A chat thread isn't proof. And you shouldn't have to paste a password to get one.
If the only way to “just try it” is keys in chat, the tools left you hanging. Parakh closes that gap.
Without a safe runner
- Keys in the prompt so the agent can “just try it”
- Proof lives in a thread nobody can replay
- Secrets in a file your agent can read
- A screenshot in chat standing in for a report
With Parakh
- Keys stay in Parakh, not in chat
- A written report, API traces, and screenshots when needed
- The check disappears; your setup stays
- Keep working in , no extra dashboard
02
Where checks run. What you take away.
writes the checks. Parakh runs them against the real system, without seeing the passwords, and hands back a report you can share.
Talk to the real API
Parakh adds the keys at run time, on your system only. You get a record you can replay, and a check against the API you already documented.
Open a real browser
We hold the login. The throwaway check can move through the screen and take screenshots. Those images are part of the report, not a gallery product, and not pasted into chat.
03
What the run is for
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01
Passwords stay out of the chat
Keys live in Parakh, not in the thread. The check runs against the real system; your agent never sees them.
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02
Use it, then let it go
The check runs in a throwaway box, then it is gone. Your setup stays. This is not an always-on monitor.
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03
Proof for the pull request
A written report and the underlying records attach to review. Nobody pastes a secrets file into chat to reproduce a run.
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04
APIs and screens
Confirm the API matches what you already documented. Capture screenshots when the product is visual. Same place, your choice.
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05
The agent is the interface
No dashboard required. already talks to tools; add Parakh and keep working.
04
What the report looks like
Drawn from the shape Parakh actually returns: run header, pass counters, per-request overview, replayable curl.
Short-lived checks. Lasting setup. Proof you can share.
05
Where it sits. Where it does not.
We are not replacing how you write software, keep collections, or watch uptime. We are the place checks run when you need proof, then we get out of the way.
| Tool | Their job | Parakh’s job |
|---|---|---|
| Writes the checks | Runs them safely and returns a report | |
| API workspaces | Where people design requests | Keep secrets out of the agent; record what happened |
| AI testing products | They write and maintain the tests | You keep the logic; we run it and keep the record |
| Uptime monitors | Always watching | Run when you need proof, then stop |
| Raw browser farms | A browser in the cloud | Login handling, allowed destinations, stored proof |
06
Connect
There is no Parakh app to learn. Point the coding agent you already use at Parakh, save the system under test and its credentials once, then ask it to run checks and pull the report.
Almost ready. We're opening connects in the next couple of weeks
No dashboard to learn. We'll write when you can connect.
From
Works with . Save the system, store credentials, run a check, get the report.
From HTTP
The same work is available over HTTP if you want it in your own scripts. See /api/docs.