We are adding analytics next sprint.
The consent you hold may not cover the new purpose. The engine cites the purpose-limitation obligation, gives you the framework's test method, and tells you what evidence would show it.
For engineering teams. Point your agent at the product and its deployment, scope the technical obligations, and work them with the engine behind it.
Consent failures are architectural. They live in your notice, your capture flow, your retention jobs and your logs, not in a policy document. MeitY has said there will be no extensions.
This is the same obligation set the engine holds, sorted by where the work actually happens.
Your agent queries the obligations and the framework's own test methods, with the page they came from. You get what to look for, not a conclusion handed to you.
It tests the live deployment from outside, and runs locally, so it reaches staging and pages behind a login. A scan can show a control is present; it can never show it operates.
Attach the artefact. It is hashed on receipt, and the assessment must quote the passage it relied on.
Each finding carries its DP-F code, provision and penalty tier, and feeds a 30/60/90 plan. Precise enough to hand to an engineer.
The consent you hold may not cover the new purpose. The engine cites the purpose-limitation obligation, gives you the framework's test method, and tells you what evidence would show it.
Your agent scopes the obligations that touch the flow, and the scanner checks the live deployment from outside: the notice, trackers before consent, transport security, the published contact.
The scanner runs on your machine, so it reaches staging and pages behind a login. You get a finding coded to the provision, a fix, and a re-scan.
Sign-in is OAuth 2.1, handled once by your assistant in a browser tab. There is no API key to paste.
Any MCP-capable agent works the same way.
Free to start. Pro is ₹500 a month, introductory.
First finding in about ten minutes.