Public-data boundary

Public evidence in. Reviewer decision out.

AffilSentry is designed to help affiliate teams review Instagram applicants before access goes out. The product boundary is deliberately narrow: source-backed public evidence, not private surveillance or automated verdicts.

Uses

Public Instagram profile information, when available without account login.
Public posts, captions, visible engagement context, timestamps, and public comment patterns.
Source-backed observations that help a reviewer decide what to ask before approval.

Does not use

Private DMs, private-profile access, passwords, or Instagram account login.
Click attribution, payout history, coupon redemption, commission tracking, or customer records.
A hidden total score, auto-approval, auto-rejection, or final eligibility verdict.

Reviewer boundary

AffilSentry can surface public evidence and suggested follow-up questions.
A human reviewer decides whether to approve, hold, or ask for more context.
Examples shown in marketing surfaces should be anonymized or synthetic unless explicit permission exists.

Beta limitation

Live audit behavior depends on route integration, provider guardrails, and deployment controls. Until those pieces are verified, public pages should describe the review model without promising an automated production audit.