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Tamper-Evident Agent Audit Logger (Python)

A Python audit logger for AI agents that writes every action to JSONL with a SHA-256 hash chain: each entry cryptographically links to the previous one, so any edit, deletion, or reorder is detected and `verify` tells you exactly which entry broke.

Who this is for: teams shipping AI agents to production — founders, platform engineers, and anyone whose agents touch money, data, or external systems.

  • SCOPE & PURPOSE
  • PRE-AUDIT PREPARATION
  • AUDIT SECTIONS

$29 Prices in USD

One-time · Instant ZIP download via Gumroad · All sales final — no refunds.

Updated October 2026

Get it now — $29

Secure checkout via Gumroad · Sold by ghostcorpnet · buyer protection · Single-user license · Instant delivery

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License TL;DR · full terms

  • Use it in your own products and client work
  • Single-user license — one buyer, unlimited personal use
  • No reselling or redistribution as-is

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ZIP · 2 KB

$29 one-time, USD Instant download via Gumroad 3 sections inside

What it does

A Python audit logger for AI agents that writes every action to JSONL with a SHA-256 hash chain: each entry cryptographically links to the previous one, so any edit, deletion, or reorder is detected and `verify` tells you exactly which entry broke. CLI with log and verify subcommands. Standard library only. Delivered as an instant ZIP download: working source code, README with setup and usage instructions, sample input/output, and a single-user license. No pip installs needed (standard library only) except where noted.

What's inside

  • SCOPE & PURPOSE
  • PRE-AUDIT PREPARATION
  • AUDIT SECTIONS

How it works

How do I receive it?

Checkout is handled by Gumroad. The ZIP download is available the moment you pay — no account setup on our side, no waiting.

Is it really ready to use?

Yes. Every ghostcorpnet product is written with zero placeholders — adopt it as-is, no "insert your policy here" gaps.

Who is it for?

Teams shipping AI agents to production — founders, platform engineers, and anyone whose agents touch money, data, or external systems.

Pairs well with

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