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I need to generate a screener deck for One Crown Place. Let me first gather the deal context and then research the market conditions for the City of London office sector.
get_deal_context09:15:340.8s320 tokensInput
{
"deal_id": "deal_001"
}Output
{
"property_name": "One Crown Place",
"address": "Sun Street, London EC2A",
"asset_class": "Office",
"loan_amount": 185000000,
"borrower": "Brookfield Asset Management"
}Good, I have the deal context. This is a £185M loan for a prime City of London office asset. Now I need to research the current market conditions, vacancy rates, and recent comparable transactions.
WebSearch09:15:372.1s180 tokensWebFetch09:15:401.4s850 tokensThe market data shows improving fundamentals. Vacancy is declining and rents are stable. Let me now query for comparable transactions to establish valuation benchmarks.
query_market_comps09:15:440.3s420 tokensInput
{
"geography": "City of London",
"asset_class": "Office",
"date_range": "2024-01-01 to 2025-01-22",
"limit": 5
}Output
{
"comparables": [
{
"property": "22 Bishopsgate",
"cap_rate": 4.8,
"price_psf": 1250
},
{
"property": "100 Liverpool Street",
"cap_rate": 5.1,
"price_psf": 1180
},
{
"property": "1 Finsbury Avenue",
"cap_rate": 5.3,
"price_psf": 1050
}
]
}Task: Deep dive on Shoreditch/Tech City office submarket trends
I've gathered sufficient market context. The subagent is researching the Tech City angle which is relevant given the property's location. Now I'll synthesize the findings into the screener deck format.
get_report_schema09:16:050.2s280 tokensI've completed the screener deck for One Crown Place. The document includes a comprehensive market analysis showing improving City of London fundamentals, comparable transaction benchmarks, and a preliminary risk assessment. The recommendation is to proceed to Investment Committee stage.
generate_report09:19:553.2s1850 tokens