@spaik/mcp-server-roi/dist/schemas/metrics.js

MCP server for AI ROI prediction and tracking with Monte Carlo simulations

import { z } from 'zod';
export const MetricDataPointSchema = z.object({
    timestamp: z.string().datetime(),
    value: z.number(),
    confidence: z.number().min(0).max(1).default(1),
    source: z.string().optional()
});
export const ActualMetricsSchema = z.object({
    id: z.string().uuid().optional(),
    projection_id: z.string().uuid(),
    period: z.string(), // e.g., "2024-01", "2024-Q1"
    metrics: z.object({
        cost_savings: z.number(),
        time_savings_hours: z.number(),
        revenue_increase: z.number(),
        quality_improvements: z.object({
            error_rate_reduction: z.number(),
            customer_satisfaction_increase: z.number().optional(),
            process_efficiency_gain: z.number().optional()
        }),
        user_adoption: z.number().min(0).max(1)
    }),
    evidence: z.array(z.object({
        source: z.string(),
        metric: z.string(),
        value: z.number(),
        confidence: z.number().min(0).max(1),
        notes: z.string().optional()
    })).default([]),
    tracked_at: z.string().datetime().optional()
});
export const TrackingUpdateSchema = z.object({
    projection_id: z.string().uuid(),
    period: z.string(),
    actual_metrics: ActualMetricsSchema.shape.metrics,
    evidence: ActualMetricsSchema.shape.evidence.optional()
});
// Variance analysis
export const VarianceAnalysisSchema = z.object({
    overall_variance_percentage: z.number(),
    metric_variances: z.object({
        cost_savings: z.object({
            expected: z.number(),
            actual: z.number(),
            variance_percentage: z.number(),
            variance_reason: z.string().optional()
        }),
        time_savings: z.object({
            expected: z.number(),
            actual: z.number(),
            variance_percentage: z.number(),
            variance_reason: z.string().optional()
        }),
        roi: z.object({
            expected: z.number(),
            actual: z.number(),
            variance_percentage: z.number(),
            variance_reason: z.string().optional()
        })
    }),
    insights: z.array(z.string()),
    recommended_actions: z.array(z.string())
});
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