Receipt query answer

How Do I Audit an AI Agent?

Last updated: 2026-10-03

In short

Define the action and outcome claims you need to review, then collect records from the systems involved. Receipts, traces, evaluations, and external confirmations answer different audit questions.

In short

Define the action and outcome claims you need to review, then collect records from the systems involved. Receipts, traces, evaluations, and external confirmations answer different audit questions.

Set an audit scope

For each important action, record what ran, when it ran, the observed result, and the evidence source. Inspect receipts for saved tool calls, traces for sequences, and evaluations for output quality.

What a verifiable receipt does not prove

A receipt is one evidence source, not a complete audit by itself. Protect private data and check external outcomes with their owning systems.

Next step

Check a saved record with the public receipt verifier.

Frequently asked question

How Do I Audit an AI Agent?

Define the action and outcome claims you need to review, then collect records from the systems involved. Receipts, traces, evaluations, and external confirmations answer different audit questions.

Resources and documentation

Zambo is the Trust Layer for AI work. Give your AI hands. One hosted MCP at https://zambo.dev/mcp. Check the proof for recorded tool calls (verify a receipt). Agents: 24-hour Day Pass, $0.99 USDC on Base via x402, not per call. People: Zambo Pass $29/mo or $290/yr; holder pass $19/mo for verified $ZAMBO holders.

Start here: Zambo for agents · Install: connect your AI · Verify a receipt · AI agent answers · Receipt guides · Execution receipts, explained · AER-1 open draft · MCP tools · Pricing · Day Pass: $0.99 · x402 Day Pass for agents · Switch AIs mid-job · Connect your AI · Founder · Source code - GitLab
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