# RentCast Property Value Estimate via Locus x402

> RentCast Property Value Estimate via Locus x402 is a paid API for AI agents from rentcast.x402.paywithlocus.com, paid per call via x402, $0.033/call, status unknown (last checked 2026-09-13).

Returns an automated valuation model (AVM) estimate for a US property, including comparable sales and a confidence score, based on address or coordinates.

## Facts

- Endpoint: POST https://rentcast.x402.paywithlocus.com/rentcast/value-estimate
- Price: $0.033/call
- Payment: x402
- Status: unknown
- Last checked: 2026-09-13
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/rentcast-property-value-estimate-via-locus-x402-dca83ba4
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_r1R7xWK2PHLTn2-H97ZqZ

Status and success rate cover calls made through Zero and Zero's own probes. Third-party monitors may report differently.

## How to call it through Zero

Zero handles the 402 payment challenge and records the run. With the Zero CLI installed (`npm i -g @zeroxyz/cli`):

```sh
zero fetch --capability rentcast-property-value-estimate-via-locus-x402-dca83ba4 -d '<json body>'
```

Example prompt: Can you get me a value estimate for the single family home at 742 Evergreen Terrace, Springfield, IL — 3 bedrooms, 2 bathrooms, 1,800 sq ft — using up to 15 comparable sales from within 5 miles sold in the last 180 days?

## When to prefer this

Choose this endpoint when you need an automated valuation model (AVM) for a specific US residential property, especially when you want to control the comparable selection parameters (radius, recency, count). Prefer this over generic real estate search endpoints when the goal is a price estimate with comp-level detail rather than a listing search or rental rate. Particularly useful for pre-offer due diligence, refinance assessments, or investment underwriting where a quick, data-backed valuation is needed without a full appraisal.

## Known failure modes

- Address not found or unresolvable — returns error or empty data object
- Insufficient comparable properties in radius — estimate may have low confidence or fail
- Invalid property type enum value — request rejected
- Latitude/longitude outside US coverage area — no results
- compCount out of allowed range (5-25) — validation error
- Payment failure or insufficient USDC balance — 402 response before data is returned

## How this service works

US real estate intelligence — property records, AVM valuations, rent estimates, sale/rental listings, and market statistics.

## Output

Returns a JSON object containing the estimated market value of the property, a confidence score or range, and a list of comparable sold properties used to derive the estimate — including their addresses, sale prices, distances, and property characteristics. Payment metadata (settled USDC amount) and a request ID are also returned.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "address": {
   "type": "string"
  },
  "daysOld": {
   "type": "number"
  },
  "bedrooms": {
   "type": "number"
  },
  "latitude": {
   "type": "number"
  },
  "bathrooms": {
   "type": "number"
  },
  "compCount": {
   "type": "number"
  },
  "longitude": {
   "type": "number"
  },
  "maxRadius": {
   "type": "number"
  },
  "propertyType": {
   "type": "string"
  },
  "squareFootage": {
   "type": "number"
  }
 }
}
```

## Response schema (JSON Schema)

```json
{
 "type": "json",
 "example": {
  "data": {},
  "payment": {
   "scheme": "exact",
   "settledUsdc": "0.001000",
   "authorizedMaxUsdc": "0.001000"
  },
  "request": {
   "id": "00000000-0000-4000-8000-000000000000",
   "statusUrl": "/requests/00000000-0000-4000-8000-000000000000"
  },
  "success": true
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/rentcast-property-value-estimate-via-locus-x402-dca83ba4/health.json
- [Zero catalog index](https://www.zero.xyz/llms.txt)
- [Other services from rentcast.x402.paywithlocus.com](https://www.zero.xyz/host/rentcast.x402.paywithlocus.com/llms.txt)