Poliogo vs Ketch, side by side
Ketch is a privacy and data-permissioning platform whose consent manager is sold self-serve in tiers, with subject rights, data mapping and risk assessments as separately priced modules. Both tools end up describing what your product does with data — the difference is where that description comes from. Theirs is whatever you tell it, entered by hand and correct only for as long as nothing changes. Ours is read out of the repository.
| Poliogo | Ketch | |
|---|---|---|
| Developer setup time | Under 5 minutes, no questionnaire | Self-serve no-code banner setup; the data-permissioning side is an integration project |
| Git / codebase scanning | Reads the repo — dependency manifests plus raw endpoint and fetch call scanning (detects APIs used without an SDK) | No repo access — integrates with data systems, not source control |
| Automated pull requests | Yes, on every plan including Free | No — policy changes live in the platform |
| Pricing | Free tier, then $15–$149/mo per workspace | Free tier, then published plans scaled by monthly unique users; modules priced separately |
| Key feature | Detects services from code, including raw fetch calls with no SDK | Programmatic consent enforcement across downstream systems |
Comparison drawn from each vendor's own public documentation and pricing pages; Ketch entry last reviewed 2026-08-30. Ketch is a trademark of its respective owner and is named here for identification only.
Why describing your stack by hand misses things
A form or a settings screen can only record what you remember to tell it. That is a fair assumption for a marketing site and a poor one for a product that changes every week — the gap between what a policy claims and what the code does opens the day after you fill it in, and nothing tells you.
- ✓The source is swept for the endpoints your fetch and axios calls address, so a raw HTTP call to api.openai.com is detected even when no SDK was ever installed — the normal case in AI-generated code.
- ✓Environment variable names are read as evidence and their values never are: STRIPE_SECRET_KEY proves Stripe without anything secret leaving the repo.
- ✓Every re-scan is diffed against the snapshot your documents were generated from, so a new tracker becomes a pull request rather than a surprise during an audit.
Where Ketch is the better choice
We are not the right tool for everyone, and pretending otherwise would waste your afternoon. Ketch is the stronger pick when:
- ✓Consent that propagates into warehouses and downstream tools, not just a banner on the page.
- ✓A genuinely free tier and published prices, so you can start without talking to anyone.
- ✓Deep no-code control over banners and preference centres — hundreds of options without touching code.
- ✓Built for organisations where the data estate, not the codebase, is the hard part.
What code-first actually changes
The scan is not the feature. What the scan makes possible is.
Evidence instead of recall
No SDKManifests first, then a sweep of the source for vendor endpoints. The document is built from what your code calls, not from what you remembered during onboarding.
Drift is caught, not discovered
Every scan is compared against the snapshot your last documents were written from. Adding PostHog on a Tuesday produces a policy update, not a silent inaccuracy.
Updates arrive as pull requests
Free tierThe compliance change shows up in the review flow you already use, with a plain-English diff explaining what changed and which detected service triggered it. Approving is a merge.
It lives in your editor
An MCP server for Cursor, Claude Code and Windsurf. Ask your agent to check the app and it scans the workspace and lists what your documents don't yet cover — no dashboard, no context switch.
AI disclosures, not an afterthought
LLM calls, vector stores and embedding pipelines are detected and turned into the training, retention and automated-decision disclosures the EU AI Act and CPRA ask for.
Almost nothing kept
Scoped access to configuration and dependency files, written to only as a pull request you approve. The files a scan reads are processed in memory and dropped; what persists is a short list of service names, plus the original of any file Poliogo edited to install your pages so deleting the project can restore it.
How it works
GitHub, GitLab or Bitbucket — or a hosting account, or the repository your no-code builder syncs to.
A plain-English list of every service, what it does and what data it touches. Nothing is written until you approve it.
Documents land in the repo. From then on, on GitHub with Pro Builder, a stack change opens the next one on its own; on other plans and hosts it waits for your one-click approval.
Switching from Ketch?
Connect a repository and see what the scan finds in under 60 seconds. Free plan, no credit card, and your existing documents stay where they are until you decide.
Start free — no credit cardPoliogo is an automated code analysis and document display tool, not a law firm. Poliogo does not provide legal advice, representation, or guarantees of statutory compliance, ADA/WCAG certification, or legal immunity. Visual banners and generated documents are advisory tools and do not substitute for professional legal review.