# Data FAQs ### **Is Aterio’s data sourced from public information?** Yes. All data provided by Aterio is derived exclusively from public domain sources such as press releases, utility commission filings, satellite imagery, provider websites, and publicly disclosed project updates. ### **Does Aterio use personal or sensitive information (PII)?** No. Aterio’s datasets do **not contain any personal or identifiable information**. Our focus is strictly on infrastructure, energy, and facility-level data. ### **Does the dataset contain Material Non-Public Information (MNPI)?** No. Aterio has internal compliance policies that explicitly prohibit the use or inclusion of MNPI. All information is either publicly disclosed or derived from observable, non-sensitive sources such as satellite analysis. ### **How does Aterio avoid the inclusion of MNPI?** Aterio follows a strict compliance protocol, including: * Sourcing only from public materials * Clearly stating in any communications with data providers that no MNPI should be shared * Internal documentation to trace each data point to its public source ### **Is Aterio compliant with website terms of use when gathering data?** Yes. Aterio reviews the terms of use for all websites it monitors to ensure compliance. We do not scrape content from login-restricted, CAPTCHA-protected, or disallowed areas (e.g., robots.txt-restricted paths). ### **Does Aterio use scraping tools or proxies?** No. Aterio relies on **RSS feeds**, **manual monitoring**, and **public filings**. We do not use scraping bots, proxies, CAPTCHA bypass tools, or anonymization techniques. ### **Does Aterio use AI to create data?** No. Aterio does not use generative AI or large language models (LLMs) to build its datasets. All data is structured using verified source material and proprietary estimation models. --- # Agent Instructions: 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: ``` GET https://knowledge.aterio.io/data-faqs.md?ask= ``` The question should be specific, self-contained, and written in natural language. 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.