Give your AI agents direct access to query first-party rental data, get rent comps, analyze markets, and evaluate properties without ingesting or maintaining files.
Never scraped • No custom integration • Live queryable data
Built on the Streamable HTTP (2025-03-26) protocol for high-throughput, low-latency tool and context execution. Agents query rental data as part of their own reasoning, not a static export.
Connect directly for native Streamable HTTP/SSE support, or route through a local stdio-to-remote proxy for desktop agents that don’t yet support remote MCP natively, including Claude Desktop.
Works natively on platform.openai.com for custom GPTs, Agent Builder, and Playground. Tool discovery happens automatically on connection.
Every connection is authenticated via a bearer token generated from the buyer’s account. No shared credentials, no unmanaged access.
Agents query the same first-party dataset behind Total IQ and API IQ, sourced directly from property management systems. Unit-level, updated continuously.
Skip the custom pipeline. Connect once and rental data becomes a native part of the agent’s own reasoning and workflows, no scraping, no surveys, no PII.
After comparing Dwellsy with other sources we found that Dwellsy maintained a superior data quality. We were able to increase our quality in all of our markets once we integrated Dwellsy and downgraded other sources which didn't maintain as high of a quality standard.

Download our data dictionary and a sample dataset to see exactly what fields, coverage, and granularity you’d be working with.
Skip the custom pipeline. Get a bearer token and query first-party, unit-level rental data directly from your agent or LLM application.
A hosted Model Context Protocol server that brings Dwellsy IQ’s rental data directly into AI agents and LLM applications, with no custom integration work required.
Dwellsy IQ is sourced directly from property management systems, not scraped from listing sites or self-reported through surveys. An agent querying Dwellsy IQ via MCP gets first-party, owner-disclosed data at the unit level.
Streamable HTTP (2025-03-26), built for high-throughput, low-latency tool and context execution.
Two ways: a direct remote connection using native Streamable HTTP/SSE (recommended), or a local stdio-to-remote proxy for desktop agents that don’t yet support remote MCP natively.
Yes, through the local stdio-to-remote proxy path for agents that don’t yet support remote MCP connections directly.
Yes. The server is natively supported on platform.openai.com for custom GPTs, Agent Builder, and Playground, with tool discovery handled automatically on connection.
Through a bearer token generated from your Dwellsy IQ account. Each connection is tied to that token, not shared credentials.
Limits are set per account based on your agreement. Talk to our team for the details that fit your use case.
Request MCP access above, and we’ll provision a bearer token and connection details for your account.