ALLOW
Request approved
risk_score 0.18 is below stabilize threshold 0.40. Execution can continue with audit record attached.
This page is built for buyer verification: live demo behavior, deterministic API execution sample, architecture scope, readiness evidence, DOI references, and Z3-backed formal verification scope.
Command preview
ALLOW
risk_score 0.18 is below stabilize threshold 0.40. Execution can continue with audit record attached.
STABILIZE
risk_score 0.42 exceeded stabilize threshold 0.40 but stayed below block threshold 0.80.
BLOCK
risk_score 0.86 exceeded block threshold 0.80. Execution is blocked and logged for inspection.
Proof pack
Production runtime
Health and readiness endpoints available for inspection.
Go / No-Go gate
Release decision is backed by readiness and smoke checks.
Test baseline
Baseline test result prepared for buyer review.
DOI artifacts
Research context is archived and independently referenceable.
Formal scope
Deterministic control model only. No overclaim of full SaaS proof.
Audit model
Execution evidence, audit trail, and buyer inspection path.
The Z3 layer does not claim to prove the entire SaaS product correct. Its scope is the deterministic gate-core model and control invariants: decision behavior, threshold logic, and safety conditions encoded in SMT-LIB/Z3.
The full product is validated separately through tests, typecheck, runtime readiness, deployment gates, and production smoke checks.
API sample
POST /api/execute
{
"agent": "buyer-demo",
"action": "execute_trade_signal",
"risk_score": 0.42,
"policy_id": "policy_default"
}
Response
{
"decision": "STABILIZE",
"proof_id": "prf_9d3c4a1b",
"ledger_ref": "led_20260425_0017",
"reason": "risk_score 0.42 exceeded stabilize threshold 0.40 and stayed below block threshold 0.80"
}Buyer memo
The $1M figure is not positioned as a generic SaaS revenue multiple. It is a strategic acquisition ceiling depending on IP scope, exclusivity, handover, support, and buyer use case.
For a pure code asset, valuation is lower. For a strategic buyer looking for an AI execution governance layer, deterministic MCP gateway, audit-ready decision payloads, and a live deterministic proof/gate scaffold control plane, the discussion is different.
You don't have to believe the claim. Evaluate live runtime behavior, source inspection, deployment checks, DOI artifacts, test baseline, and formal verification scope.