maintainx-cost-tuning

# MaintainX Cost Tuning ## Overview Reduce MaintainX API request volume and optimize costs through caching, webhook-driven sync, request batching, and smart polling strategies. ## Prerequisites - MaintainX integration deployed and working - Redis or in-memory cache available - Baseline API usage metrics ## Instructions ### Step 1: Request Volume Tracking ```typescript // src/cost/usage-tracker.ts class ApiUsageTracker { private counts: Map<string, number> = new Map(); private startTime = Date.now(); record(endpoint: string) { const key = endpoint.split('?')[0]; // Strip query params this.counts.set(key, (this.counts.get(key) || 0) + 1); } report() { const elapsed = (Date.now() - this.startTime) / 1000 / 60; // minutes console.log(`\n=== API Usage Report (${elapsed.toFixed(1)} min) ===`); const sorted = [...this.counts.entries()].sort((a, b) => b[1] - a[1]); for (const [endpoint, count] of sorted) { const rate = (count / elapsed).toFixed(1); console.log(` ${endpoint}: ${count} calls (${rate}/min)`); } console.log(` TOTAL: ${[...this.counts.values()].reduce((a, b) => a + b, 0)} calls`); } } export const tracker = new ApiUsageTracker(); // Report every 10 minutes setInterval(() => tracker.report(), 600_000); ``` ### Step 2: Response Caching ```typescript // src/cost/cached-client.ts interface CacheEntry<T> { data: T; expiresAt: number; } class CachedMaintainXClient { private cache = new Map<string, Cach...