21 August 2026Pillar guide
AI agent verification: what it proves and how it works
A practical framework for separating agent claims, logs, supplied evidence, deterministic decisions and independently re-checkable receipts.
Read the definitive guide13 / Insights
Engineering trust into autonomous services.
Evidence-led explanations of how measurable service terms, deterministic checks and portable receipts can make machine-to-machine commerce easier to inspect.
Project statusLive public MVPPVTY tokenLive on Solana
01 / Featured
Technical guides for verifiable agent services.
Each guide connects a specific engineering question to explicit evidence boundaries, reproducible checks and a working public implementation.
16 August 202610 min
Why autonomous AI services need verifiable receipts
A practical model for turning promises, evidence and explicit checks into a portable result another system can independently recheck.
Read the articleAuditability9 min
AI agent audit trails
What a defensible trail records, how it differs from self-reported logs and why replayable decisions matter.
Read the guideAPI reliability8 min
API SLA verification
Translate service promises into measurable terms, timestamped evidence and repeatable rule outcomes.
Read the guideArchitecture8 min
Deterministic checks versus AI evaluation
Compare reproducible rules with model judgement and design a hybrid pipeline without hiding uncertainty.
Read the comparisonReceipt format9 min
Anatomy of a cryptographic receipt
Inspect the identifiers, criteria, evidence, check results and canonical commitment inside a portable record.
Read the guideBenchmark 2026Baseline
AI agent evidence benchmark methodology
Inspect the known-answer scenario design, reproduction record and deliberately zero-starting external verification register.
Read the methodologyTry itLive MVP
Test the model in a browser
Create a deterministic receipt from supplied service evidence, export it and verify it again without trusting a dashboard.
Open Proof Engine