> For the complete documentation index, see [llms.txt](https://help.screena.ai/resources/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://help.screena.ai/resources/faq/name-matching/what-is-the-difference-between-matchingnames-in-screening-responses-and-names-in-targetdata.md). # What is the difference between 'matchingNames' in screening responses and 'names' in 'targetData'? "The `matchingNames` object returns the precise name from a target dataset's record that initiated a match. Often, the target record includes multiple name variations, such as the primary name, aliases, or alternative spellings in non-Latin scripts. The `matchingNames` object enhances explainability by pinpointing the exact name from the target record responsible for the match, with the response score being directly linked to this name. Screena consistently provides a unique matching name for this object in the response, which can be either a full name or a parsed name. Notably, this object is always included in named-entity matching scenarios. In geo matching, however, this object is not included. In identifier matching, it is included only if an associated name exists with the matching identifier. For instance, when matching digital currency identifiers, a named entity is not always present in the watchlist alongside the identifier, such as a crypto wallet address. --- # 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://help.screena.ai/resources/faq/name-matching/what-is-the-difference-between-matchingnames-in-screening-responses-and-names-in-targetdata.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.