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Saylor Innovations Data Desk – Rental Property Analysis
x402
Saylor Innovations Data Desk – Rental Property Analysis is a paid API for AI agents from saylorinnovations.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-30).
Calculates key rental property investment metrics — NOI, cap rate, monthly cash flow, cash-on-cash return, DSCR, GRM, and break-even occupancy — from purchase price, down payment, interest rate, and expected rent.
Price / call$0.01
Success—
StatusUnknown
How this service works
Rental property underwriting: NOI, cap rate, monthly cash flow, cash-on-cash return, DSCR, gross rent multiplier and break-even occupancy from price and rent.
Output
Returns a JSON object with computed metrics including cap rate percent, monthly and annual cash flow, DSCR, gross rent multiplier, break-even occupancy, loan amount, cash invested (down payment + closing costs), gross annual rent, and plain-language verdict and caveat fields summarizing the investment quality.
Example use cases
First investment property screening
“I'm looking at a $275,000 rental house — I'd put 25% down at a 6.75% interest rate and could rent it for $1,950 a month. Can you pull the full underwriting breakdown so I know if the numbers make sense before I make an offer?”
Lender DSCR requirement check
“My lender needs a DSCR of at least 1.25 to approve the loan. The property is $410,000, I'm putting 20% down at 7.5% interest, and market rent is $2,800/month — can you check if this deal passes the coverage ratio?”
Comparing asking price vs lower offer
“I want to see how the cap rate and cash-on-cash return change if I buy this duplex at $350,000 versus negotiating it down to $315,000 — rent would be $2,500/month, 20% down, and the rate is 7.0%.”
Technical details
Endpoint
GEThttps://saylorinnovations.com/api/realestate/rental-analysis?utm_source=zero.xyzWhen to prefer
Use this endpoint when you need a quick, formula-driven rental property underwriting snapshot from just a few inputs, without needing access to MLS data or property-specific comps. It is ideal for early-stage deal screening, comparing multiple properties side by side, or verifying whether a property meets lender DSCR thresholds before committing to deeper due diligence.
Side effects
- Missing required parameters (price, down_payment_percent, interest_rate_percent, monthly_rent) results in a 400 error
- Non-numeric string values for numeric fields cause parsing errors
- Extremely low rent relative to price may yield negative cash flow results which are valid but may confuse downstream logic
- Optional insurance and tax defaults (0.5% and 1.1% of price respectively) may not match actual local rates, reducing accuracy
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
Tags
x402
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