Model Egress Auditor
An audit layer that records what categories of data leave an app for model providers, which provider receives them, and which workflow sent them.
- Target market
- Indie devs and small AI product teams of 1-10 sending user content, support tickets, database fields, files, or tool outputs to OpenAI, Anthropic, Gemini, local models, or routing services.
Problem snapshot
What this solves
A customer asks whether their invoice notes are sent to a model provider, and the founder cannot answer from logs. The app calls two model APIs, an agent router, and a summarizer job, but normal request logs do not classify the data leaving each workflow. Raw prompt logging is risky, yet no logging means the founder has no audit trail. The missing piece is…
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