ASGI CONSENSUS.

Artificial Sovereign General Intelligence. A deterministic rules-based cognitive consensus engine that optimizes resource distribution, evaluates governance proposals, and guides treasury decisions autonomously.

Deterministic Execution

ASGI runs LISP-based rulesets on specialized isolated sandboxes, ensuring macroeconomic computations and capital allocations are completely auditable and predictable.

Multi-Variable Treasury Logic

Continuous feedback-loop loops analyze current global AUM, local community cash flow, and resource indexes to dynamically calibrate network interest rates.

Zero-Trust Pre-Evaluation

Secure, sandboxed simulations test incoming community proposals against historical volatility matrices, issuing cryptographic approvals before final human veto checks.

Automated Waterfall Execution

Direct smart contract interactions trigger automatic profit distributions (waterfalls) and liquidity releases instantly on successful consensus completion.

ASGI Integration

Node SDK Package

npm install @promethean/asgi

Python Interface (ML pipelines)

pip install promethea-asgi

Dockerized Sandbox Runtime

docker run -d -p 4001:4001 promethea/asgi-sandbox

ASGI executes completely deterministically. Ensure your rulesets compile successfully before submitting as proposals.

REST API & LISP Evaluator

// Submit a proposed capital injection payload for evaluation
const res = await fetch('https://api.lvhllc.org/asgi/evaluate', {
  method: 'POST',
  headers: {
    'Content-Type': 'application/json',
    'Authorization': `Bearer ${process.env.PROMETHEA_ACCESS_TOKEN}`
  },
  body: JSON.stringify({
    proposal: {
      type: "LIQUIDITY_INJECTION",
      target: "florida-housing-trust-spv",
      amount: 75000,
      rule: "(lambda (treasury bounds) (and (> (get-liquidity treasury) 500000) (< (get-volatility bounds) 0.15)))"
    }
  })
});

const output = await res.json();

console.log('Consensus evaluation complete.');
console.log('Status:', output.consensus);       // e.g. "APPROVED"
console.log('Confidence Score:', output.confidence); // e.g. 0.985
console.log('Execution Signature:', output.signature);