# Semi-Structured Data of unstructured nature, but still having some high level patterns applicable to it. This semi-structured data has a loosely defined component structure. We will focus on the Semi-Structured data that are common between verticals. Examples: email, url, address, etc**.** Telmai can offer: Pattern analyzer to identify accepted patterns (only compressed sequence patterns work in these cases and only sometimes) Frequency analyzer to identify placeholder or over-represented data Regex built-in syntax validators for email, url Validation services API or libraries for email, url (see appendix below) Validation and normalization of Address via external API calls (see appendix below) --- # 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://docs.telm.ai/academy/correctness/semi-structured.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.