> For the complete documentation index, see [llms.txt](https://knowledge.aterio.io/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://knowledge.aterio.io/data-products/early-signals-on-new-developments.md). # Early Signals on New Developments *Aterio's Early Signals* *on New Developments* product enables AI agents and enterprise systems to respond instantly to physical infrastructure activity across the U.S. With standardized, machine-readable signals on new data centers, factories, and commercial construction updated hourly, this dataset powers automated workflows and business development at scale. By transforming fragmented, location-based development activity into structured, real-time signals, our product bridges the gap between the physical and digital worlds. Whether it's a new data center breaking ground or a commercial facility entering construction, these updates act as live indicators of economic intent—fueling systems that need to act, adapt, or respond as the built environment evolves. This continuous stream of intelligence empowers businesses to anticipate demand, allocate resources efficiently, and stay ahead of market shifts as they happen. --- # Agent Instructions This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com. ## Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter, and the optional `goal` query parameter: ``` GET https://knowledge.aterio.io/data-products/early-signals-on-new-developments.md?ask=&goal= ``` `ask` is the immediate question: it should be specific, self-contained, and written in natural language. `goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.