using System.Net.Http; using Newtonsoft.Json; public class ProcoreClient { private readonly HttpClient _http; private const string BASE = "https://api.procore.com/rest/v1.0"; public async Task<ProjectKPI> GetConstructionKPIs(int companyId) { // Fetch active projects var res = await _http.GetAsync( $"{BASE}/projects?company_id= {companyId}"); var json = await res.Content .ReadAsStringAsync(); var projects = JsonConvert .DeserializeObject<List<Project>>( json); // Extract KPIs return new ProjectKPI { TotalBudget = projects .Sum(p => p.budget_amount), ScheduleAdherence = CalcAdherence( projects), OpenRfis = projects .Sum(p => p.open_rfis), OpenPunchItems = projects .Sum(p => p.punch_items), CostVariance = CalcVariance( projects), SafetyIncidents = projects .Sum(p => p.incidents_ytd) }; } }

import httpx, asyncio BASE = "https://api.procore.com/rest/v1.0" async def get_construction_kpis( company_id: int, token: str ): async with httpx.AsyncClient() as c: r = await c.get( f"{BASE}/projects", params={"company_id": company_id}, headers={"Authorization": f"Bearer {token}"} ) projects = r.json() return { "total_budget": sum( p["budget_amount"] for p in projects), "open_rfis": sum( p["open_rfis"] for p in projects), "punch_items": sum( p["punch_items"] for p in projects), "cost_variance_pct": calc_variance(projects), }

public class YardiConnector { private readonly ISoapClient _soap; public async Task<PropertyBundle> GetPropertyDataAsync( DateOnly asOf) { // Occupancy + Lease + WorkOrders var (occ, leases, wo, rents) = await ( _soap.CallAsync("GetOccupancy", new { AsOfDate = asOf }), _soap.CallAsync("GetLeases", new { ExpiringWithin = 90 }), _soap.CallAsync("GetWorkOrders", new { Status = "Open" }), _soap.CallAsync("GetRentRoll", new { AsOfDate = asOf }) ); return new PropertyBundle { OccupancyRate = occ.Rate, ExpiringLeases = leases.Count, OpenWorkOrders = wo.Count, TotalRentRoll = rents.TotalRent }; } }

from zeep import AsyncClient from datetime import date WSDL = "https://yardi.host/itf/main.wsdl" client = AsyncClient(WSDL) async def get_property_data( as_of: date ) -> dict: svc = client.service # Parallel SOAP calls import asyncio occ, leases, wo, rents = await \ asyncio.gather( svc.GetOccupancy( AsOfDate=as_of.isoformat()), svc.GetLeases( ExpiringWithin=90), svc.GetWorkOrders( Status="Open"), svc.GetRentRoll( AsOfDate=as_of.isoformat()) ) return { "occupancy_rate": occ.rate, "expiring_leases": len(leases), "open_work_orders": len(wo), "rent_roll_total": rents.total, }

public class FunnelLeasingService { public async Task<LeadPipeline> GetPipelineAsync(Guid propertyId) { var leads = await _funnel .Leads.ListAsync( propertyId: propertyId, status: LeadStatus.Active); var adData = await _funnel .Ads.GetAttributionAsync( propertyId: propertyId, period: Period.Last30Days); return new LeadPipeline { TotalLeads = leads.Count, CostPerLease = adData.TotalSpend / leads.Count(l => l.Status == LeadStatus.Leased), ConversionRate = leads .Count(l => l.TourCompleted) / (double)leads.Count * 100, AvgDaysToLease = leads .Where(l => l.LeasedDate.HasValue) .Average(l => l.LeasedDate!.Value .Subtract(l.CreatedAt).Days) }; } }

import httpx, statistics from datetime import date BASE = "https://api.funnelleasing.com/v2" async def get_pipeline( property_id: str, token: str ): hdrs = {"X-Api-Key": token} async with httpx.AsyncClient() as c: leads = (await c.get( f"{BASE}/leads", params={"property_id": property_id, "status": "active"}, headers=hdrs)).json()["data"] ads = (await c.get( f"{BASE}/attribution", params={"property_id": property_id}, headers=hdrs)).json() leased = [l for l in leads if l["status"] == "leased"] return { "total_leads": len(leads), "cost_per_lease": ( ads["total_spend"] / max(len(leased), 1)), "conversion_rate": ( sum(l["tour_completed"] for l in leads) / len(leads) * 100), }

public class LoxoneService { public async IAsyncEnumerable<DeviceEvent> StreamEventsAsync( CancellationToken ct) { await foreach (var msg in _ws.ReceiveAsync(ct)) { var evt = JsonSerializer .Deserialize<DeviceEvent>(msg); if (evt?.Type is "thermostat" or "lock" or "energy" or "motion" or "leak") yield return evt; } } public async Task<EnergyReport> GetEnergyMetricsAsync() { var readings = await _http .GetAsync("api/energy/summary"); return new EnergyReport { AvgKwhPerUnit = readings.AvgKwh, PeakDemand = readings.Peak, SavingsPct = readings .CalcSavingsVsBaseline() }; } }

import asyncio, websockets, json import httpx WS_URI = "wss://loxone.host/ws/events" REST = "https://loxone.host/api" async def stream_events(): async with websockets.connect( WS_URI, extra_headers={ "X-Api-Key": LOXONE_KEY } ) as ws: async for msg in ws: evt = json.loads(msg) if evt["type"] in { "thermostat", "lock", "energy", "motion", "leak"}: yield evt async def get_energy_metrics(): async with httpx.AsyncClient() as c: r = await c.get( f"{REST}/energy/summary", headers={"X-Api-Key": LOXONE_KEY} ) return r.json()

public class JdeFinanceConnector { public async Task<FinancialBundle> GetFinancialsAsync( string businessUnit, FiscalPeriod period) { // Parallel fetch: GL + AP + AR + Payroll var (gl, ap, ar, pay) = await ( _orch.PostAsync<GlSummary>( "GetGLSummary", new { businessUnit, period }), _orch.PostAsync<ApSummary>( "GetAPSummary", new { businessUnit, period }), _orch.PostAsync<ArSummary>( "GetARSummary", new { businessUnit, period }), _orch.PostAsync<PayrollSummary>( "GetPayroll", new { businessUnit, period }) ); return new FinancialBundle { Revenue = gl.Revenue, OpEx = gl.Expenses, Noi = gl.Revenue - gl.Expenses, ApBalance = ap.Outstanding, ArBalance = ar.Outstanding, Payroll = pay.TotalCost }; } }

import httpx, asyncio JDE = "https://jde.host/jderest/orchestrator" async def get_financials( business_unit: str, fiscal_year: int, fiscal_period: int ): ctx = { "businessUnit": business_unit, "fiscalYear": fiscal_year, "fiscalPeriod": fiscal_period, } async with httpx.AsyncClient( auth=(JDE_USER, JDE_PASS) ) as c: gl, ap, ar, pay = await \ asyncio.gather( c.post(f"{JDE}/GetGLSummary", json=ctx), c.post(f"{JDE}/GetAPSummary", json=ctx), c.post(f"{JDE}/GetARSummary", json=ctx), c.post(f"{JDE}/GetPayroll", json=ctx), ) return { "noi": gl.json()["noi"], "ap": ap.json()["outstanding"], "ar": ar.json()["outstanding"], "payroll": pay.json()["total_cost"], }

public class ExternalIntelligenceService { public async Task<MarketBundle> GetMarketDataAsync( string submarket) { // CoStar benchmark rents var costar = await _costar .GetAsync( $"/v2/markets/{submarket}" + "/vacancy-rent"); // Zillow rental estimates var zillow = await _zillow .GetRentalZestimatesAsync( submarket); // Google Ads performance var ads = await _gads .GetCampaignMetricsAsync( _customerId, DateRange.Last30Days); return new MarketBundle { MedianMarketRent = costar.MedianRent, ZillowEstimate = zillow.Avg, RentPremium = _portfolio.AvgRent - costar.MedianRent, Roas = ads.CalcRoas(), Impressions = ads.Impressions, Conversions = ads.Conversions }; } }

from google.ads.googleads.client import \ GoogleAdsClient import httpx, asyncio gads = GoogleAdsClient.load_from_dict( GADS_CONFIG) async def get_market_data( submarket: str, customer_id: str ): async with httpx.AsyncClient() as c: costar, zillow = await asyncio.gather( c.get( f"https://api.costar.com/v2" f"/markets/{submarket}/vacancy-rent", headers={"X-Api-Key": COSTAR_KEY}), c.get( f"https://api.zillow.com/v1" f"/zestimate/rental", params={"market": submarket}, headers={"X-Zwsid": ZW_KEY}) ) svc = gads.get_service("GoogleAdsService") stream = svc.search_stream( customer_id=customer_id, query="""SELECT campaign.name, metrics.impressions, metrics.conversions, metrics.cost_micros FROM campaign WHERE segments.date DURING LAST_30_DAYS""") return { "costar": costar.json(), "zillow": zillow.json(), "ads": [r for b in stream for r in b.results] }