MCP services that enforce thermodynamic property rights over your agent's outputs. Adversarial bugs are attribution breaks. We restore the attribution — formally, from physics, not heuristics.
Pipe untrusted input through /v1/injection/detect. Get back a verdict
backed by the Adversarial Landauer Inequality —
defender pays log₂(1/α) × attacker per bit —
a formally verified theorem from our corpus paper.
const v = new ViridisMCP({ apiKey: process.env.VIRIDIS_API_KEY });
const r = await v.injection.detect({
input: untrustedUserMessage,
certainty: "standard", // or "quick" / "premium"
});
if (r.recommendedAction === "reject") {
throw new Error(
`Injection detected: p=${r.probability}, bits at risk=${r.bitsAtRisk}`
);
}
Every API call returns a result you can trace to a formal proof in Lean 4. Co-author: Aristotle (Harmonic).
Agent-economy native. Self-serve through Growth. No sales call before $50K/yr Enterprise.
# Free tier — instant signup, returns API key
curl -X POST https://mcp.viridis-security.com/v1/signup \
-H 'content-type: application/json' \
-d '{"email":"you@example.com","tier":"free"}'
The Intelligence Bound dI/dt ≤ P·D / (kBT ln 2) sets a thermodynamic upper bound on the rate of useful information production by any physical system. Adversarial bugs are attempts to capture or repurpose bits whose dissipation cost was paid by another principal. Viridis MCP is the enforcement layer.
Read the corpus paper: Adversarial Thermodynamics: Intelligence Attribution as a Security Primitive (forthcoming).