appfolio-cost-tuning
Optimize AppFolio API costs through efficient usage patterns. Trigger: "appfolio cost".
What this skill does
# 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
```typescript
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;
}
}
```
## Usage Monitoring
```typescript
class AppFolioUsageMonitor {
private calls: Array<{ endpoint: string; timestamp: number }> = [];
private budgetLimit = 10_000; // daily call budget
record(endpoint: string): void {
this.calls.push({ endpoint, timestamp: Date.now() });
const todayCalls = this.getTodayCount();
if (todayCalls > this.budgetLimit * 0.8) {
console.warn(`AppFolio API budget 80% consumed: ${todayCalls}/${this.budgetLimit}`);
}
}
getTodayCount(): number {
const startOfDay = new Date().setHours(0, 0, 0, 0);
return this.calls.filter(c => c.timestamp > startOfDay).length;
}
}
```
## Cost Optimization Checklist
- [ ] Cache property and unit data with 10-15 min TTL
- [ ] Replace polling loops with webhook-driven event handling
- [ ] Batch lease queries — fetch all, filter locally
- [ ] Use incremental sync with `modified_since` parameter
- [ ] Schedule report exports during off-peak hours
- [ ] Build local lookup tables for vendors and owners
- [ ] Set daily API call budget alerts at 80% threshold
- [ ] Audit unused integrations consuming API quota
## Error Handling
| Issue | Cause | Fix |
|-------|-------|-----|
| 429 Too Many Requests | Exceeded rate limit | Implement exponential backoff with jitter |
| Stale cache serving old data | TTL too long for volatile data | Reduce TTL for maintenance/lease endpoints to 2-5 min |
| Budget alerts firing daily | Polling loop running on short interval | Switch to webhook-driven architecture |
| Duplicate API calls | Multiple services fetching same data | Centralize through shared cache layer |
| Large payload timeouts | Fetching full portfolio in single call | Paginate requests, process in batches of 100 |
## Resources
- [AppFolio Stack APIs](https://www.appfolio.com/stack/partners/api)
- [AppFolio Engineering Blog](https://engineering.appfolio.com)
## Next Steps
See `appfolio-performance-tuning`.
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