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Sparks RE API — Property Text Full Analysis
x402
Sparks RE API — Property Text Full Analysis is a paid API for AI agents from sparks-re-api.sparksdigital-re.workers.dev, paid per call via x402, $0.05/call, status unknown (last checked 2026-10-30).
Submits raw property listing text/MLS copy to extract structured specs, scan for FHA Fair Housing compliance violations, and compute investment financial metrics in one combined report.
Price / call$0.05
Success—
StatusUnknown
How this service works
Submit raw property text/MLS copy. Uses Gemini to extract property specs, scan for FHA compliance violations, and calculate investment financials in a single report. Cost: $0.05 USDC.
Output
Returns a JSON object with three sections: (1) listing_data with structured property fields (address, city, state, zip, bedrooms, bathrooms, sqft, lot size, year built, price, rent, property type); (2) fha_report with compliance status, flagged phrases with violation categories and suggested rewrites, violation count, and a fully compliant rewrite of the listing; (3) investor_metrics including purchase price, down payment, loan amount, monthly rent, monthly mortgage, monthly expenses, monthly cashflow, annual NOI, cap rate, DSCR, cash-on-cash return, and gross rent multiplier.
Example use cases
FHA compliance check before publishing
“Before I post this listing, can you check it for any Fair Housing Act violations and suggest compliant rewrites? Here's the copy: 'Quiet neighborhood, great for families with traditional values, near a wonderful church community, 4BR/3BA at $420,000.'”
Investor due diligence on raw MLS text
“I'm evaluating a rental property and only have the raw MLS text — can you pull out the key specs and tell me the cap rate, DSCR, and monthly cashflow? Here's the description: '2BR/1BA duplex in Columbus OH, asking $180,000, estimated rent $1,400/mo, built 2002, 950 sqft per unit.'”
Automated listing audit for property manager
“Run a full analysis on this listing description I received from an agent — I need the structured property data, any Fair Housing red flags with suggested fixes, and the investor return numbers all in one shot: 'Spacious SFR in Austin, 4BD/2BA, 2,100 sqft, $525,000 asking, rents around $2,800/mo, perfect for an English-speaking professional couple.'”
Technical details
Endpoint
POSThttps://sparks-re-api.sparksdigital-re.workers.dev/property/analyze-text?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have raw listing text or MLS copy and need all three analyses — property extraction, FHA compliance, and investment metrics — in a single API call rather than chaining three separate endpoints. It is the most cost-effective and efficient path when starting from unstructured text. Prefer the URL-based scrape endpoint if you have a listing webpage instead of raw text, or the dedicated FHA-scan endpoint if you only need compliance checking without financial analysis.
Side effects
- Malformed or empty text input returns a 400 error
- Gemini AI parsing fails to extract usable property data if text is too vague or unstructured
- FHA scan may miss nuanced discriminatory language not clearly tied to a protected class
- Investment metrics may be inaccurate if rent or price cannot be reliably parsed from text
- Payment of $0.05 USDC via x402 not completed results in 402 Payment Required
- Rate limiting or Cloudflare Worker timeout on very long listing texts
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| text | string | Raw listing description copy |
Output
Schema · Response
{
"type": "json",
"example": {
"fha_report": {
"is_compliant": false,
"flagged_phrases": [
{
"phrase": "Christian family/community",
"suggestion": "welcoming community",
"violation_category": "Religion"
}
],
"violation_count": 1,
"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
x402
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