Skip to content

A small team that checks your code like an auditor would

Six agents run on your machine. Each has one job and hands its work to the next. Pick one to see how it works.

Free · runs on your machine

Scout

Maps the repo and where personal data flows.

Scout reads your files, routes, models and config. It finds fields that look like personal data, such as emails, names and IDs, and follows them to where your code stores, logs or sends them.

How it works

  1. 1Walks the file tree and reads routes, models, config and dependencies
  2. 2Tags every field that looks like personal data: emails, names, IDs, health or payment data
  3. 3Follows each one to where it is stored, logged or sent
  4. 4Hands the map to the Classifier
lintsure.scoutexample output
  • › 214 files mapped
  • › 6 personal data flows
  • › users.email → logger (api/users.ts:42)
  • › scores → db.decisions (ml/score.py:18)

Hands off to

Classifier · Works out which rules apply and your EU AI Act risk tier.