Drop 1: Neural Arbiter | Memory Stream Discovery | Development Value: $2.9M | Your Price: Free from your friends at CMPSBL - https://CMPSBL.com — Discover Software Free at CMPSBL | Hacker News Gift | 3/29/2026 1237AM CST
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import { NeuralArbiter } from './neural-arbiter';
const engine = new NeuralArbiter();
const result = await engine.execute({ your: 'data' });
console.log(result.confidence);
console.log(result.pipelineTrace);
// ════════════════════════════════════════════════════════
// CMPSBL® Capability — Neural Arbiter
// Rank: #0 | CJPI: 100 | Module: ANALYTICS
// ID: disc-319c04fc
// Coordinates intelligent decision-making with governance oversight.
//
// Type: Canonical Runtime | Full CJPI, tiering, pipeline orchestration
// Generated by CMPSBL® Universal Export Adapter
// Language: TypeScript | Zero external dependencies
// ════════════════════════════════════════════════════════
export interface NeuralArbiterConfig {
maxRetries: number;
timeoutMs: number;
confidenceThreshold: number;
errorStrategy: 'retry';
telemetry: boolean;
onStageComplete?: (stage: string, result: StageResult) => void;
onError?: (error: Error, stage: string) => void;
}
export interface StageResult {
stage: string;
module: string;
success: boolean;
data: Record<string, unknown>;
confidenceDelta: number;
durationMs: number;
metadata: Record<string, unknown>;
}
export interface NeuralArbiterResult<T = unknown> {
success: boolean;
data?: T;
error?: string;
latencyMs: number;
confidence: number;
pipelineTrace: StageResult[];
stagesCompleted: number;
totalStages: number;
entryPoint: string;
exitPoint: string;
}
const DEFAULT_CONFIG: NeuralArbiterConfig = {
maxRetries: 3,
timeoutMs: 30000,
confidenceThreshold: 0.6,
errorStrategy: 'retry',
telemetry: false,
};
export class NeuralArbiter {
private config: NeuralArbiterConfig;
private executionCount = 0;
private totalLatencyMs = 0;
private successCount = 0;
constructor(config: Partial<NeuralArbiterConfig> = {}) {
this.config = { ...DEFAULT_CONFIG, ...config };
}
async execute<T = unknown>(input: Record<string, unknown>): Promise<NeuralArbiterResult<T>> {
this.executionCount++;
const start = performance.now();
const trace: StageResult[] = [];
let confidence = 1.0;
let currentData: Record<string, unknown> = { ...input };
let stagesCompleted = 0;
const stages = this.buildPipeline();
for (const stage of stages) {
const stageStart = performance.now();
try {
const result = await this.executeStage(stage, currentData, confidence);
confidence = Math.min(1.0, Math.max(0, confidence + result.confidenceDelta));
currentData = { ...currentData, ...result.data };
stagesCompleted++;
trace.push(result);
this.config.onStageComplete?.(stage.name, result);
if (confidence < this.config.confidenceThreshold) {
return this.buildResult(false, currentData as T, `Confidence dropped below threshold at stage '${stage.name}' (${confidence.toFixed(3)})`, start, confidence, trace, stagesCompleted, stages.length);
}
} catch (err) {
const error = err instanceof Error ? err : new Error(String(err));
this.config.onError?.(error, stage.name);
trace.push({ stage: stage.name, module: stage.module, success: false, data: {}, confidenceDelta: -0.2, durationMs: performance.now() - stageStart, metadata: { error: error.message } });
return this.buildResult(false, currentData as T, `Stage '${stage.name}' failed: ${error.message}`, start, confidence * 0.5, trace, stagesCompleted, stages.length);
}
}
this.successCount++;
const latency = performance.now() - start;
this.totalLatencyMs += latency;
return this.buildResult(true, currentData as T, undefined, start, confidence, trace, stagesCompleted, stages.length);
}
private buildPipeline() {
return [
{
name: 'aggregate_analytics', module: 'ANALYTICS',
fn: async (data: Record<string, unknown>, confidence: number): Promise<StageResult> => {
const start = performance.now();
const metrics: Record<string, number> = {};
let totalEntropy = 0;
const entries = Object.entries(data);
for (const [key, val] of entries) {
const numVal = typeof val === 'number' ? val : String(val ?? '').length;
metrics[`metric_${key}`] = numVal;
totalEntropy += Math.log2(Math.max(numVal, 1));
}
const mean = entries.length > 0 ? Object.values(metrics).reduce((a, b) => a + b, 0) / entries.length : 0;
const variance = entries.length > 0 ? Object.values(metrics).reduce((a, v) => a + Math.pow(v - mean, 2), 0) / entries.length : 0;
return {
stage: 'aggregate_analytics', module: 'ANALYTICS', success: true,
data: { metrics, statistical_summary: { mean, variance, stddev: Math.sqrt(variance), entropy: totalEntropy }, anomaly_score: variance > mean * 2 ? 'high' : variance > mean ? 'medium' : 'low', observation_count: entries.length },
confidenceDelta: 0.057, durationMs: performance.now() - start, metadata: { entryCapability: 'input' },
};
},
},
{
name: 'analyze_brain', module: 'BRAIN',
fn: async (data: Record<string, unknown>, confidence: number): Promise<StageResult> => {
const start = performance.now();
const inputKeys = Object.keys(data);
const complexityScore = inputKeys.length * (confidence * 10);
const analysisMap: Record<string, unknown> = {};
for (const key of inputKeys) {
const val = data[key];
const valStr = typeof val === 'string' ? val : JSON.stringify(val ?? '');
analysisMap[`${key}_analysis`] = { type: typeof val, length: valStr.length, entropy: valStr.split('').reduce((acc, c) => acc + c.charCodeAt(0), 0) / Math.max(valStr.length, 1), relevance: Math.min(1.0, valStr.length / 100) };
}
return {
stage: 'analyze_brain', module: 'BRAIN', success: true,
data: { complexity_score: complexityScore, analysis: analysisMap, cognitive_load: inputKeys.length / 20, reasoning_depth: Math.min(5, Math.ceil(complexityScore / 10)) },
confidenceDelta: 0.030, durationMs: performance.now() - start, metadata: { phase: 1 },
};
},
},
{
name: 'assess_ethics_conscience', module: 'CONSCIENCE',
fn: async (data: Record<string, unknown>, confidence: number): Promise<StageResult> => {
const start = performance.now();
const inputEntries = Object.entries(data);
const processedFields: Record<string, unknown> = {};
for (const [key, val] of inputEntries) {
processedFields[`conscience_${key}`] = { original: val, processed: true, module: 'CONSCIENCE', transform: 'assess_ethics' };
}
return {
stage: 'assess_ethics_conscience', module: 'CONSCIENCE', success: true,
data: { module: 'CONSCIENCE', operation: 'assess_ethics', fields_processed: inputEntries.length, output: processedFields },
confidenceDelta: 0.023, durationMs: performance.now() - start, metadata: { phase: 2 },
};
},
},
{
name: 'enforce_governance', module: 'GOVERNANCE',
fn: async (data: Record<string, unknown>, confidence: number): Promise<StageResult> => {
const start = performance.now();
const auditTrail: Array<{field: string; rule: string; passed: boolean}> = [];
const policies = ['non_empty', 'type_safe', 'bounded_length'];
for (const [key, val] of Object.entries(data)) {
for (const rule of policies) {
let passed = true;
if (rule === 'non_empty') passed = val != null && String(val).length > 0;
if (rule === 'type_safe') passed = val !== undefined;
if (rule === 'bounded_length') passed = String(val ?? '').length < 10000;
auditTrail.push({ field: key, rule, passed });
}
}
const complianceRate = auditTrail.filter(a => a.passed).length / Math.max(auditTrail.length, 1);
return {
stage: 'enforce_governance', module: 'GOVERNANCE', success: true,
data: { compliance_rate: complianceRate, audit_trail: auditTrail, governance_verdict: complianceRate >= 0.8 ? 'compliant' : 'review_required', timestamp: new Date().toISOString() },
confidenceDelta: 0.054, durationMs: performance.now() - start, metadata: { phase: 3 },
};
},
},
{
name: 'classify_jurisdiction_sovereign', module: 'SOVEREIGN',
fn: async (data: Record<string, unknown>, confidence: number): Promise<StageResult> => {
const start = performance.now();
const inputEntries = Object.entries(data);
const processedFields: Record<string, unknown> = {};
for (const [key, val] of inputEntries) {
processedFields[`sovereign_${key}`] = { original: val, processed: true, module: 'SOVEREIGN', transform: 'classify_jurisdiction' };
}
return {
stage: 'classify_jurisdiction_sovereign', module: 'SOVEREIGN', success: true,
data: { module: 'SOVEREIGN', operation: 'classify_jurisdiction', fields_processed: inputEntries.length, output: processedFields },
confidenceDelta: 0.033, durationMs: performance.now() - start, metadata: { exitCapability: 'output' },
};
},
},
];
}
private async executeStage(stage: { name: string; module: string; fn: (data: Record<string, unknown>, confidence: number) => Promise<StageResult> }, data: Record<string, unknown>, confidence: number): Promise<StageResult> {
let attempts = 0;
const maxAttempts = this.config.errorStrategy === 'retry' ? this.config.maxRetries : 1;
while (attempts < maxAttempts) {
try {
return await Promise.race([
stage.fn(data, confidence),
new Promise<never>((_, reject) => setTimeout(() => reject(new Error(`Stage '${stage.name}' timed out`)), this.config.timeoutMs)),
]);
} catch (err) {
attempts++;
if (attempts >= maxAttempts) throw err;
await new Promise(r => setTimeout(r, Math.min(1000 * Math.pow(2, attempts), 10000)));
}
}
throw new Error(`Stage '${stage.name}' exhausted all retries`);
}
private buildResult<T>(success: boolean, data: T, error: string | undefined, startTime: number, confidence: number, trace: StageResult[], completed: number, total: number): NeuralArbiterResult<T> {
return { success, data: success ? data : undefined, error, latencyMs: performance.now() - startTime, confidence, pipelineTrace: trace, stagesCompleted: completed, totalStages: total, entryPoint: 'input', exitPoint: 'output' };
}
getStats() {
return { name: 'Neural Arbiter', cjpi: 100, category: 'governance', moduleChain: ["ANALYTICS","BRAIN","CONSCIENCE","GOVERNANCE","SOVEREIGN"], executionCount: this.executionCount, successRate: this.executionCount > 0 ? this.successCount / this.executionCount : 0, avgLatencyMs: this.executionCount > 0 ? this.totalLatencyMs / this.executionCount : 0 };
}
reset() { this.executionCount = 0; this.totalLatencyMs = 0; this.successCount = 0; }
}
export function createNeuralArbiter(config?: Partial<NeuralArbiterConfig>): NeuralArbiter {
return new NeuralArbiter(config);
}
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