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Inth

Review code and website changes for privacy issues and preserve evidence with Inth.

Pricing
Free issue-count scans; pay-once reveal options and Startup $250/month or $3,000/year for product/privacy scanning. Consent infrastructure is priced separately, with included usage and overage currently advertised at $0.001 per request.
Free plan
Yes; initial scans show issue counts and severity, but detailed findings/reveal and monitoring require paid usage or subscription.
Platforms
Web

Tool Information

Inth
Inth
Updated: September 2026
Tool type: Product Privacy Review Platform
Pricing: Free issue-count scans; pay-once reveal options and Startup $250/month or $3,000/year for product/privacy scanning. Consent infrastructure is priced separately, with included usage and overage currently advertised at $0.001 per request.
Free plan: Yes; initial scans show issue counts and severity, but detailed findings/reveal and monitoring require paid usage or subscription.
Platforms: Web
Login required: Account or company onboarding required
API: No public developer API verified
Browser extension: No official browser extension verified
Mobile app: No official native mobile app verified
AI models: Underlying model versions not publicly specified
Developer: Inth

About Inth

Inth monitors product changes for potential privacy issues. It reviews code, pull requests and website behaviour, then connects findings with the technical evidence needed for a team to investigate. The platform is aimed at engineering, privacy, security and legal teams that need to review changes continuously.

Code and website review

Code analysis looks for new collection, storage, sharing and vendor behaviour. Data-flow mapping and tracker detection help explain what information may move and where it goes. Website audits compare loaded scripts, cookies and vendor activity with consent state and policy context.

Findings stay associated with commits, files or other source evidence. Teams can record ownership, decisions and proposed fixes. A detected issue requires interpretation: the applicable requirements depend on jurisdiction, implementation and the organisation’s actual obligations.

Research and pricing

Inth’s chat feature uses curated privacy regulations and guidance in the context of a product. The official site explicitly identifies this as legal information rather than legal advice. Qualified counsel should confirm consequential conclusions.

Free scans reveal issue counts and severity before paid access to detailed findings. Ongoing scanning and agent use consume credits, and a monthly credit subscription is available. Consent infrastructure has separate plans and usage charges, while self-hosted deployment uses a sales discussion. These costs should not be combined into one misleading all-inclusive price.

Using findings operationally

Start with a repository and domain whose behaviour the team understands. Compare results with existing data inventories and consent tests. Review proposed code changes through normal engineering controls, document legal interpretation separately and retain the evidence supporting the final decision rather than treating a clean scan as proof of compliance.

Key features
  • Code privacy scans
  • Pull-request review
  • Website vendor monitoring
  • Data-flow mapping
  • Evidence history
  • Contextual privacy research
Use cases
Code privacy scans,Pull-request review,Website vendor monitoring,Data-flow mapping
How to use
  1. Choose an authorised repository and domain.
  2. Run the initial scan.
  3. Inspect counts and severity.
  4. Review pricing for detailed findings.
  5. Compare evidence with actual data flows.
  6. Have specialists assess legal implications.
  7. Review and implement approved fixes.
  8. Preserve decisions and monitor new changes.
Best for
Privacy Teams, Engineering Teams, Security And Legal Teams
Integrations
Exact third-party integration coverage not publicly specified
Commercial use
Product privacy review support; not a substitute for qualified legal advice

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