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Sparks RE API — Property Listing Image Analysis
x402
Sparks RE API — Property Listing Image Analysis is a paid API for AI agents from sparks-re-api.sparksdigital-re.workers.dev, paid per call via x402, $0.15/call, status unknown (last checked 2026-10-30).
Accepts a base64-encoded screenshot of a real estate listing and returns a consolidated report with extracted property specs, FHA compliance scan, and investor return metrics.
Price / call$0.15
Success—
StatusUnknown
How this service works
AI-powered real estate tools for property normalization, FHA compliance scanning, and investor metrics calculation. Powered by x402 micropayments.
Output
A JSON object with three sections: listing_data (structured property specs including address, city, state, zip, bedrooms, bathrooms, square feet, lot size, year built, price, monthly rent, property type), fha_report (FHA/Fair Housing compliance status, count of violations, flagged phrases, and a compliant rewrite), and investor_metrics (cap rate, DSCR, annual NOI, cash-on-cash return, monthly cash flow, monthly expenses, monthly mortgage, gross rent multiplier, loan amount, down payment).
Example use cases
Investor screening a new listing
“Here's a screenshot of a listing I found on Realtor.com — can you extract all the property details and calculate the cap rate, cash-on-cash return, and monthly cash flow so I can decide if it's worth pursuing?”
Compliance check before publishing
“Before I post this listing, can you scan this screenshot for any Fair Housing Act or FHA violations and give me a compliant rewrite if there are any flagged phrases?”
Quick property data extraction from screenshot
“I have a screenshot of an MLS listing but I need the data in structured form — can you pull out the address, beds, baths, square footage, price, and year built from this image?”
Technical details
Endpoint
POSThttps://sparks-re-api.sparksdigital-re.workers.dev/property/analyze-image?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have a screenshot or image of a real estate listing (rather than raw text or a URL) and need a single-call consolidated report covering property data extraction, FHA compliance, and investor metrics — saving three separate API calls. Prefer the text-based endpoint if you already have the listing copy as plain text, or the URL scraper if you have the listing page URL.
Side effects
- Invalid or corrupt base64 image string returns a parse error
- Unsupported mime type may cause processing failure
- Low-quality or unreadable screenshot may result in incomplete or inaccurate property data extraction
- Missing required 'image' field returns a 400 validation error
- Payment not included or insufficient USDC triggers a 402 Payment Required response
- AI model timeout on large images may return a 500 error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| image | string | Base64-encoded image string of the listing screenshot |
| mime_type | string | Mime type of the image (default image/png) |
Output
Schema · Response
{
"type": "json",
"example": {
"fha_report": {
"is_compliant": true,
"flagged_phrases": [],
"violation_count": 0,
"compliant_rewrite": "..."
},
"listing_data": {
"zip": "46220",
"city": "Indianapolis",
"state": "IN",
"address": "789 Maple Ave",
"bedrooms": 3,
"lot_size": "0.25 acres",
"bathrooms": 2,
"raw_price": "$295,000",
"year_built": 1998,
"square_feet": 1850,
"monthly_rent": 2200,
"property_type": "SFR"
},
"investor_metrics": {
"dscr": 1.12,
"annual_noi": 16908,
"loan_amount": 236000,
"down_payment": 59000,
"monthly_rent": 2200,
"purchase_price": 295000,
"cap_rate_percent": 5.73,
"monthly_cashflow": -160.96,
"monthly_expenses": 2360.96,
"monthly_mortgage": 1569.96,
"cash_on_cash_percent": -3.27,
"gross_rent_multiplier": 11.17
}
}
}Tags
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