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Phoenix multi-family, $8.2M ask, 5.4% cap. How rate-sensitive is this?
I'll stress-test this deal against rate scenarios...
⚙️ Running: run_real_estate_sensitivity
Rate-Sensitive Deal
+25bps → cap rate 5.65% → value -$380k (4.6%)
+50bps → cap rate 5.90% → value -$720k (8.8%)
Macro context: Phoenix employment +2.8% YoY. Fed futures price 40% chance of hike by Q2. Consider bidding $7.8M to build in buffer.
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"How sensitive is this deal to a rate hike?"
Stress-test deals against macro trends. Rate sensitivity, cap rate impact, macro overlays—institutional analysis at junior analyst speed.
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FRED, World Bank, IMF, BLS—nine data sources unified. Publication-ready charts and analysis.
"What's happening in the markets?"
Stock quotes, crypto prices, earnings calendars, company financials—all via Yahoo Finance (free, no API key).
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Use with Claude Desktop, REST API, or Python
{
"mcpServers": {
"savvy": {
"command": "npx",
"args": ["-y", "@anthropic-ai/mcp-proxy", "https://api.savvy.finance/sse"],
"env": {
"HEADERS": "{\"X-API-Key\": \"your-api-key\"}"
}
}
}
}
# Get a stock quote
curl -X POST https://api.savvy.finance/api/tools/get_stock_quote \
-H "X-API-Key: your-api-key" \
-H "Content-Type: application/json" \
-d '{"ticker": "AAPL"}'
# Analyze rent vs buy
curl -X POST https://api.savvy.finance/api/tools/analyze_rent_vs_buy \
-H "X-API-Key: your-api-key" \
-H "Content-Type: application/json" \
-d '{"monthly_rent": 3000, "home_price": 800000}'
import httpx
client = httpx.Client(
base_url="https://api.savvy.finance",
headers={"X-API-Key": "your-api-key"}
)
# Get stock quote
response = client.post("/api/tools/get_stock_quote", json={"ticker": "AAPL"})
print(response.json())
# Analyze rent vs buy
response = client.post("/api/tools/analyze_rent_vs_buy", json={
"monthly_rent": 3000,
"home_price": 800000,
"time_horizon_years": 7
})
print(response.json())
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Zillow, rate sensitivity, macro overlays
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