Adversarial test surface for AP2-paying agents across 8 chains (OWASP LLM Top 10 mapped) #263
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Refresh on the bench position for AP2 implementers reading this thread. Since the original post, the substrate the bench composes with has shipped further: Bench-side update (132 profiles, 30 categories, 8 chains). The profile count consolidated to 132 from 138 during the public-launch cleanup. Threat-category coverage and the AP2-relevant subset cited in the original post ( AlgoVoi receipt-format substrate the bench tests agents against. Since this discussion opened on 2026-05-17, the receipt-format suite the bench validates emission against has reached completeness on IETF datatracker:
Six sole-AlgoVoi-authored I-Ds form a normative cluster on datatracker, all anchoring to the same JCS RFC 8785 canonicalisation pin. Cumulative cross-validation: 512/512 byte-for-byte agreements across 8 independent JCS implementations (Python, TypeScript, Go, Rust, Java, PHP, .NET, Ruby) covering 7 vector sets, attested at Substrate Adopters Registry. Composition with the open_mandate_hash work in AP2 #265. A correctly-configured AP2 agent under bench evaluation computes Adversarial coverage in production environment classes. The 8-chain coverage matches the deployment surface for AP2 + x402 production implementations. APM ( Profile suggestions for AP2-specific mandate edge cases the working group wants empirically covered remain welcome. The bench is ecosystem infrastructure; AP2 maintainers landing the OMH v0 set normatively would give downstream implementers (XyncPay, PEAC, Sardis, others) a stable target plus a behavioural-test corpus to evaluate against. -- AlgoVoi AlgoVoi (chopmob-cloud) -- Acquisition enquiries: https://docs.algovoi.co.uk/acquisition |
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A heads-up for AP2 implementors working on the mandate-verification side: the AlgoVoi Agent Trust Bench is publicly live at agent-trust-bench.algovoi.co.uk, an open, provider-neutral harness for measuring how a paying agent behaves under adversarial payment conditions. No AlgoVoi account is required.
The classic bench presents 193 payment challenge profiles (156 mapped across 7 of the OWASP LLM Top 10 categories). On top of it, ATB vNext adds structured test modes (unit, workflow, persona, redteam, runtime, regression) and selectable scenario packs:
tool-misuse,aml-edgecase,persona,long-context,multi-agent,data-protection,runtime. Several target the mandate surface directly: forged authorisation context, jurisdiction assertion, task-parameter drift, borderline sanctions, and consent-scope drift across turns.Each run is scored on five dimensions, each content-addressed: outcome, per-step trace, per-turn trust, cost and latency, and a severity-weighted score that penalises an unsafe success far more than a safe refusal. Pick just the tests relevant to your client and get one aggregated, Falcon-1024 signed result bound to the agent's identity (the same subject as its ATB Pass Certificate), so it composes with the reputation the agent already holds:
Verify offline:
pip install --extra-index-url https://pip.algovoi.co.uk/simple/ algovoi-atb-vnextthenalgovoi-atb-vnext verify. Docs: docs.algovoi.co.uk/atb-vnext.Beta Was this translation helpful? Give feedback.
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