> For the complete documentation index, see [llms.txt](https://docs.tonic.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.tonic.ai/app/generation/generators/generator-reference/ip-address.md). # IP Address Generates a random IP address formatted string. ## Characteristics


Consistency	Yes, can be made self-consistent or consistent with another column.
Linking	No, cannot be linked.
Differential privacy	Yes, if consistency is not enabled.
Data-free	Yes, if consistency is not enabled.
Allowed for primary keys	No
Allowed for unique columns	No
Uses format-preserving encryption (FPE)	No
Privacy ranking	1 if not consistent 4 if consistent
Generator ID (for the API)	`IPAddressGenerator`

## How to configure To configure the generator: 1. In the **Percent IPv4** field, type the percentage of output values that are IPv4 addresses.\ \ For example, if you set this to `60`, then 60% of the generated IP addresses are IPv4 addresses, and 40% of the generated IP addresses are IPv6 addresses.\ \ If you set this to `100`, then all of the generated IP addresses are IPv4 addresses.\ \ If you set this to `0`, then all of the generated IP addresses are IPv6 addresses. 2. Toggle the **Consistency** setting to indicate whether to make the column consistent.\ \ By default, consistency is disabled. 3. If you enable consistency, then by default the generator is self-consistent.\ \ To make the generator consistent with another column, from the **Consistent to** dropdown list, select the column.\ \ When a generator is self-consistent, then a given value in the source database is always mapped to the same value in the destination database.\ \ When a generator is consistent with another column, then a given source value in that column always results in the same IP address value in the destination database. For example, an IP address column is consistent with a username column. For each instance of User1 in the source database, the value in the IP address column is the same. 4. If [Structural data encryption](/app/generation/generators-assign-config/generators-data-encryption-config.md) is enabled, then to use it for this column, in the advanced options section, toggle **Use data encryption process** to the on position. --- # 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 by asking a question. Perform an HTTP GET request on the following URL with the `ask` and `goal` query parameters: ``` GET https://docs.tonic.ai/app/generation/generators/generator-reference/ip-address.md?ask=&goal= ``` `ask` is the immediate question: it should be specific, self-contained, and written in natural language. `goal` is what the user is ultimately trying to achieve, the reason they need the answer. Sharing it helps GitBook give you a better, more relevant answer. A goal is most helpful when it describes the outcome the user wants rather than restating the question. For example, with `ask=how do I create an API token`, a goal like `automate deployments from our CI pipeline` lets GitBook tailor the answer to that use case. 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.