> For the complete documentation index, see [llms.txt](https://docs.nosto.com/techdocs/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.nosto.com/techdocs/apis/graphql-an-introduction/graphql-using-queries/graphql-querying-identities.md).

# Querying Identities

You can query identities using the GraphQL Identities endpoint. An "identity" is the personal information associated with an email address.

So long as you are able to specify the email address, you will be able to query the identity, its associated customer affinity and the personalized recommendations for that identity.

```graphql
curl -0 -v -X POST https://api.nosto.com/v1/graphql \
-u ":<token>" \
-H 'Content-Type: application/graphql' \
-d @- << EOF
query {
  identity(email:"john.smith@example.com") {
    email,
    attributes {
      name,
      value
    }
    recos(preview: true, image: VERSION_ORIGINAL) {
      history(params: {
        minProducts: 3,
        maxProducts: 10,
        showRelatedProducts: true,
        skipProductsInCart: true,
        skipBoughtProducts: true
      }) {
        primary {
          url
          imageUrl
        }
      }
    }
  }
}
EOF
```

#### What can identity attributes be used for?

The attributes associated with an identity can be used to segment users. This works similarly to how the attributes can be leveraged [when importing them via a CSV](https://help.nosto.com/en/articles/2884483-how-to-import-customer-data-to-nosto-via-api).


---

# Agent Instructions
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## 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.nosto.com/techdocs/apis/graphql-an-introduction/graphql-using-queries/graphql-querying-identities.md?ask=<question>
```

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.