Locus Property Scan is a paid API for AI agents from api.locus.report, paid per call via x402, $0.99/call, status unknown (last checked 2026-09-14).
Scans local records, parcel rules, and risk signals for a US property address and returns a branded property flyer with findings.
Just-listed, open-house, or coming-soon flyer for one address from just the address: a 4:5 Instagram-ready PNG with the agent's own colors, logo, contact strip, and headshot. With no licensed subject photo, Locus builds an aerial hero with the official parcel outline when available; the model supplies only the decorative skin. Never valuation, ranking, screening, or safe/unsafe claims. npx @velinussage/locus-agent-skill add.
Returns a JSON object with a unique report ID, the generatedAt timestamp, an array of property records found, and any caveats about data quality or limitations. The response represents a structured property flyer artifact reflecting local records, zoning/parcel rules, and risk signals for the submitted address.
POSThttps://api.locus.report/api/locus-property-flyerChoose this endpoint when you need a quick, low-cost ($0.49) property intelligence scan that combines local public records, parcel/zoning rules, and risk signals into a structured, brandable flyer artifact. It is ideal for real estate agents, buyers doing pre-purchase due diligence, investors screening parcels, or anyone needing a fast property context report for a specific US address. Prefer this over generic property lookup APIs when you need styled output with brand customization and a structured set of property features with evidence.
| Field | Type | Description |
|---|---|---|
| cta | string | |
| brand | object | |
| style | string | |
| address | string | |
| features | array | |
| headline | string | |
| creativeBrief | string | |
| propertyImage | object | |
| reportHandoff | object | |
| subjectEvidence | object |
{
"type": "json",
"example": {
"id": "locus_example",
"caveats": [
"Example artifact; not live data."
],
"records": [],
"generatedAt": "2026-01-01T00:00:00.000Z"
}
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