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AI Agent SLA Verification
Last updated: 2026-09-24
Short answer: AI agent receipts can support SLA verification by preserving timestamps, statuses, observed results, and verifier responses for selected executions. They do not create SLA terms or prove an availability commitment that was never defined.
Last reviewed: 2026-09-23. This page describes a reviewable evidence pattern and does not claim an outside result without upstream confirmation.
Define the measure
Record the service boundary, start and end events, target response, and the period being evaluated.
Attach evidence
Use the receipt URL, verifier response, and any provider callback or read-back that confirms the relevant state.
Avoid invented terms
Do not infer uptime, latency, resolution, or penalty terms from a receipt unless the governing agreement defines them.
Open a public execution receipt or call its verifier. The example reports verification_status: verified for the stored record. It is not proof of an unobserved external outcome.
Frequently asked questions
AI agent SLA verification
AI agent receipts can support SLA verification by preserving timestamps, statuses, observed results, and verifier responses for selected executions. They do not create SLA terms or prove an availability commitment that was never defined.
What can a verifiable receipt prove?
It can show what the execution layer recorded and what its integrity checks verify. It cannot prove an unobserved outside outcome.
How can another reviewer check the record?
Open the public receipt, compare the tool, time, result, and status, then call the verifier. Keep outside confirmations separate from the execution record.