> For the complete documentation index, see [llms.txt](https://help.delpha.io/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://help.delpha.io/delpha-for-salesforce/how-to-faq/delpha-data-quality/what-is-a-token.md).

# What is a Token?

### What Is a Token in Delpha?

In Delpha, a **token** represents a credit used to evaluate and enhance a single record (Account, Contact, or Lead). Token usage is tied to how frequently you assess or enrich your data, as well as the completeness of the starting data on that record.

### How Token Consumption Works: The Pipeline Engine

Delpha's data quality engines are linked and run as **pipelines**. Token consumption depends on how seamlessly a record can progress through this pipeline without getting blocked by missing information:

* **Single Check (1 Token):** If the pipeline can run end-to-end because the base information is present, only 1 token is consumed.
* **Multi-Step Check (2 or more Tokens):** If a core element is missing and needs a recommendation to be fixed *before* the next engine can run, the system must perform two separate runs. Depending on the initial quality of your data, the system may require more than two runs if multiple core elements are missing and must be found sequentially.

> ℹ️ **Note:** Token usage applies when Delpha performs a data quality evaluation, a field-level enrichment, or an update based on configured automation.

***

### Token Consumption Examples

To help you understand how missing data impacts pipeline runs, here are common scenarios:

#### Accounts

* **Account with a correct website (but no LinkedIn or Parent Company):** The system uses the existing website to suggest a LinkedIn profile and the correct parent company in a single check. **(1 Token)**
* **Account without a website and without a Parent Company:** The system must first run a check to identify the correct website. Once the website is found, it must perform a second run to find the parent company. **(2 Tokens)**

#### Contacts

* **Contact without an email:** The system performs one check to retrieve the missing email address. **(1 Token)**
* **Contact with an email (but no LinkedIn):** The system performs one check to simultaneously validate the existing email and provide the missing LinkedIn profile. **(1 Token)**
* **Job change alert:** The system performs one check to identify the contact's new role **(1 Token)**. If the new role requires the system to find a *new* email address, an additional run is required. **(Total: 2 Tokens)**

***

### Managing Your Token Frequency

In addition to the pipeline rules above, token usage scales with how often you choose to schedule your data assessments. Each record may consume up to one token per day, depending on your schedule.

| Frequency                   | Tokens per Record per Year |
| --------------------------- | -------------------------- |
| **Daily**                   | Up to 365                  |
| **Monthly** (every 30 days) | 12                         |
| **Quarterly**               | 4                          |
| **Biannually**              | 2                          |

The less frequently you refresh your data, the fewer tokens you'll use—allowing you to control costs and optimize efficiency.

> 💡 **Learn More:** Find more details on the [Delpha.io Pricing Page](https://delpha.io/pricing/).


---

# 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.delpha.io/delpha-for-salesforce/how-to-faq/delpha-data-quality/what-is-a-token.md?ask=<question>&goal=<endgoal>
```

`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.