> For the complete documentation index, see [llms.txt](https://docs.notional.finance/v3-technical-docs/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.notional.finance/v3-technical-docs/contract-interaction-guides/prime-cash-markets.md).

# Prime Cash Markets

## Fetch Prime Cash and Prime Debt Addresses

```
# Fetch the Prime Cash and Prime debt addresses for a given currencyId

pCashAddress = notional.pCashAddress(currrencyId)
pDebtAddress = notional.pDebtAddress(currrencyId)
```

## Fetch a market's total pCash and total pDebt supply

```
from brownie.network.state import Chain
chain = Chain()

primeFactors = notional.getPrimeFactorsStored(currencyId, chain.time())
totalPrimeSupply = primeFactors['factors']["totalPrimeSupply"]/1e8
totalPrimeDebt = primeFactors['factors']["totalPrimeDebt"]/1e8
```

## Get a market's pCash and pDebt Supply in Underlying

In order to convert Prime Cash to underlying we need to use the underlyingScalar and the supplyScalar. To convert Prime Debt to underlying we need to use the underlyingScalar and the debtScalar: 

```
from brownie.network.state import Chain
chain = Chain()

primeFactors = notional.getPrimeFactorsStored(currencyId, chain.time())
totalPrimeSupply = primeFactors['factors']["totalPrimeSupply"]/1e8
totalPrimeDebt = primeFactors['factors']["totalPrimeDebt"]/1e8

supplyScalar = primeFactors["factors"]["supplyScalar"]/1e18
debtScalar = primeFactors["factors"]["debtScalar"]/1e18
underlyingScalar = primeFactors["factors"]["underlyingScalar"]/1e18

# Total Prime Supply in underlying 
totalPrimeSupplyInUnderlying = totalPrimeSupply * underlyingScalar * supplyScalar
totalPrimeDebtInUnderlying = totalPrimeDebt * underlyingScalar * debtScalar 

```

## Calculate a Prime Cash Market's utilization

Prime Cash Market utilization is defined as a market's `debt / supply` in underlying terms:

```
from brownie.network.state import Chain
chain = Chain()

primeFactors = notional.getPrimeFactorsStored(currencyId, chain.time())
totalPrimeSupply = primeFactors["factors"]["totalPrimeSupply"]
totalPrimeDebt = primeFactors["factors"]["totalPrimeDebt"]
supplyScalar = primeFactors["factors"]["supplyScalar"]
debtScalar = primeFactors["factors"]["debtScalar"]


# Utilization is calculated in underlying terms.
# Utilization = accruedDebtUnderlying / accruedSupplyUnderlying
# Utilization = (totalPrimeDebt * underlyingScalar * debtScalar) / (totalPrimeSupply * underlyingScalar * supplyScalar)
# Note that the underlyingScalar cancels out in both numerator and denominator
utilization = (totalPrimeDebt * debtScalar) / (totalPrimeSupply * supplyScalar) 

```

## Fetch Prime Cash markets Supply Rates and Borrowing Rates

<pre><code>from brownie.network.state import Chain
chain = Chain()

<strong>primeFactors = notional.getPrimeFactors(currencyId, chain.time())
</strong><strong>
</strong># Prime Cash Supply Rate
oracleSupplyRate = primeFactors["primeRate"]["oracleSupplyRate"]/1e9

# Prime Cash Borrow Rate
TODO after contract upgrade

</code></pre>


---

# 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://docs.notional.finance/v3-technical-docs/contract-interaction-guides/prime-cash-markets.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.