SKILL.md
AppFolio Cost Tuning
Overview
AppFolio Stack API pricing is partner-agreement based, with costs scaling by API call volume per managed property. Property management portfolios generate high-frequency reads for tenant lookups, lease status checks, and maintenance requests. Each redundant API call erodes margin on per-unit revenue. Optimizing call patterns directly impacts operational profitability, especially for portfolios managing hundreds or thousands of units where even small per-call costs compound rapidly.
Cost Breakdown
| Component | Cost Driver | Optimization |
|---|---|---|
| Property/unit reads | Per-call pricing on tenant and unit endpoints | Cache with 10-15 min TTL; property data changes infrequently |
| Lease operations | Bulk lease queries across entire portfolio | Fetch all leases once, filter locally instead of per-unit calls |
| Maintenance requests | Polling for new work orders | Use webhooks to receive push notifications |
| Reporting exports | Large payload downloads for financial reports | Schedule off-peak, cache results for 24h |
| Vendor/owner lookups | Repeated lookups for the same contacts | Build a local lookup table, refresh daily |
API Call Reduction
class AppFolioCache {
private cache = new Map<string, { data: any; expiry: number }>();
get(key: string): any | null {
const entry = this.cache.get(key);
if (!entry || Date.now() > entry.expiry) return null;
return entry.data;
}
set(key: string, data: any, ttlMs = 600_000): void {
this.cache.set(key, { data, expiry: Date.now() + ttlMs });
}
async fetchWithCache(endpoint: string, ttlMs?: number): Promise<any> {
const cached = this.get(endpoint);
if (cached) return cached;
const response = await fetch(endpoint);
const data = await response.json();
this.set(endpoint, data, ttlMs);
return data;
}
}
