Automated Valuation Model (AVM) for US residential properties via RentCast, pay-per-call over MPP.
What it does
This endpoint provides an Automated Valuation Model (AVM) for US residential properties, powered by RentCast data and served through the Locus MPP (Micropayment Protocol). Given a property address or coordinates along with optional property characteristics (type, bedrooms, bathrooms, square footage), it returns a value estimate along with comparable sales data.
The endpoint accepts POST requests with a JSON body. You can specify the property by full address or by latitude/longitude coordinates. Additional parameters let you filter comparable properties by maximum radius, recency (daysOld), and the number of comparables to return (5–25, default 15). Supported property types include Single Family, Condo, Townhouse, Manufactured, Multi-Family, Apartment, and Land.
Pricing is $0.033 per call, settled via the Tempo method using pathUSD (amount 33000 in base units with 6 decimals). The endpoint is part of a broader RentCast suite on the same MPP gateway that also offers property records, rent estimates, sale/rental listings, and market statistics — all at the same per-call price. Note that the probe returned 404 on HEAD/GET; the endpoint is designed for POST requests only, which is consistent with the OpenAPI spec. Documentation is available at the RentCast developer portal and the Locus MPP skill file.
Capabilities
Use cases
- —Estimating the current market value of a US residential property by address
- —Retrieving comparable sales data to support investment analysis
- —Automating property valuation checks in a real estate workflow or chatbot
- —Enriching CRM or portfolio data with up-to-date home value estimates
- —Building a property search tool that shows estimated values alongside listings
Fit
Best for
- —AI agents that need on-demand US residential property valuations
- —Real estate investors comparing property values programmatically
- —Developers building property analysis tools without managing API keys
Not for
- —Commercial real estate valuations (residential US only)
- —Non-US property lookups
- —High-volume batch appraisals where a subscription API may be more cost-effective
Quick start
curl -X POST https://rentcast.mpp.paywithlocus.com/rentcast/value-estimate \
-H "Content-Type: application/json" \
-d '{"address": "5500 Grand Lake Dr, San Antonio, TX 78244", "propertyType": "Single Family", "bedrooms": 3, "bathrooms": 2, "squareFootage": 1500, "compCount": 10}'Example
Request
{
"address": "5500 Grand Lake Dr, San Antonio, TX 78244",
"daysOld": 180,
"bedrooms": 3,
"bathrooms": 2,
"compCount": 10,
"maxRadius": 5,
"propertyType": "Single Family",
"squareFootage": 1500
}Endpoint
Quality
Full OpenAPI schema with clear request parameters and pricing info is available. However, the probe did not capture a 402 challenge (endpoint expects POST, probe used HEAD/GET), no response schema or example response is documented, and crawled pages all returned 404. Pricing and request schema are well-defined but response shape must be inferred from RentCast's external docs.
Warnings
- —Probe returned 404 on HEAD and GET — endpoint only accepts POST per the OpenAPI spec; this does not indicate the endpoint is down.
- —No response schema is provided in the OpenAPI spec; the structure of the 200 response is undocumented here.
- —No example response available; consumers should consult RentCast developer docs for response format.
- —Currency address 0x20c000000000000000000000b9537d11c60e8b50 is assumed to be pathUSD with 6 decimals based on Tempo convention; if this is incorrect, the $0.033 price would be wrong.
Citations
- —The endpoint is documented as POST with the given request schema and payment amount of 33000 via Tempo methodhttps://rentcast.mpp.paywithlocus.com
- —RentCast API reference is available at developers.rentcast.iohttps://developers.rentcast.io/reference/introduction
- —Locus MPP documentation for RentCast is at beta.paywithlocus.com/mpp/rentcast.mdhttps://beta.paywithlocus.com/mpp/rentcast.md
- —RentCast homepage is rentcast.iohttps://rentcast.io