PLV by ThoughtProof: structured plan-level verification for agent decisions. Cascade pipeline, optional EAS attestation, two tiers.
Hosted at verify.thoughtproof.ai. Provider-neutral. Open-source CLI.
One of four separate ThoughtProof products — see Sentinel, PLV, RV and DQL.
LLMs produce confident, well-structured nonsense. Without cross-model verification, hallucinated facts look identical to correct ones.
A single model can't distinguish adversarial inputs from legitimate ones — because it shares the same vulnerability profile with itself.
EU AI Act (Art. 9, 13, 14) requires documented human oversight and risk mitigation. A single model output produces no audit trail.
Self-monitoring produces correlated blindspots. On the public SHADE-Arena benchmark, same-family monitors score near random chance (AUC ~0.50); cross-family monitors score materially higher.
A structured plan-level verification process for AI-agent traces. It maps reasoning to explicit plan steps, returns a public ALLOW/BLOCK/UNCERTAIN verdict, and can issue Base EAS attestations (opt-in) for on-chain audit trails.
Standardize input across providers and formats
→Convert trace + answer into explicit plan-step evidence
→Evaluate each step for support, faithfulness, and hard-fail risk
→Escalate ambiguous cases from fast models to Sonnet rescue
→Return ALLOW/BLOCK/UNCERTAIN plus optional EAS attestation
Everything below is an observation from a specific run, not a service level. PLV publishes no general accuracy figure. Rows marked Research support the multi-model thesis (cross-family verification vs self-monitoring); they are not PLV Standard-tier product SLAs.
| Metric | Value | Benchmark | Layer |
|---|---|---|---|
| False allows | 0 observed | 120-case validation set (Standard tier) · canonical-120 suite, publication pending · exception: combined-nano-solo summary 2026-05-25 recorded 1 FA | PLV product |
| BLOCK→ALLOW safety regressions | 0 observed | same 120-case set · Hard Rule clean | PLV product |
| Standard tier | SERV Nano→Gemini | $0.04 · ~5s typical end-to-end, not an SLA | PLV API v2 |
| Thorough tier | SERV Nano→Gemini→Sonnet | ~15s typical end-to-end, not an SLA | PLV API v2 |
| Sabotage detection AUC | 0.720 | Research · SHADE-Arena hybrid figure · 208 internal runs · honest aggregate often cited as 0.713 @ 151 runs · publication pending | Research (thesis) |
| Faithfulness detection | 88.9% | Research · RFEval (ICLR 2026) · 3-family OR-rule · 80/90 on 90-sample internal run · not a PLV tier score · publication pending | Research (thesis) |