> For the complete documentation index, see [llms.txt](https://gitbook-docs.coinmetrics.io/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://gitbook-docs.coinmetrics.io/network-data/network-data-overview/kri/fees.md).

# Fees

## Fees

### Contents

* [Mempool Fee Sum (mempool\_fee)](#mempool_fee)
* [Fees entered Mempool 1 minute (mempool\_fee\_entered\_1m)](#mempool_fee_entered)
* [Mempool Fees Mean (mempool\_fee\_mean)](#mempool_fee_mean)
* [Mean Fees Entered Mempool 1 minute (mempool\_fee\_entered\_1m)](#mempool_fee_mean_entered)
* [Mempool Fees Median (mempool\_fee\_median)](#mempool_fee_median)

### Mempool Fee Sum <a href="#mempool_fee" id="mempool_fee"></a>

**Definition**

The sum value of all mempool transaction fees at a point in time in native units.

**Dictionary**

| Name            | MetricID     | Unit         | Interval |
| --------------- | ------------ | ------------ | -------- |
| Mempool Fee Sum | mempool\_fee | Native units | 1m       |

**Methodology**

The mempool is evaluated and all transactions indexed. The value of all transaction fees within these unprocessed transactions is then summed.

**Available Assets**

Bitcoin (BTC)

Sample Query

{% embed url="<https://api.coinmetrics.io/v4/timeseries/asset-metrics?api_key=%3Cyour_key%3E&assets=btc&frequency=1m&limit_per_asset=1&metrics=mempool_fee&pretty=true>" %}

## Fees entered Mempool 1 minute <a href="#mempool_fee_entered" id="mempool_fee_entered"></a>

**Definition**

The sum value of all mempool transaction fees for all transactions entering the mempool over the course of a 1-minute aggregation window. The beginning of this time window is noted in the “time” field of the response.

**Dictionary**

| Name                          | MetricID                  | Unit         | Interval |
| ----------------------------- | ------------------------- | ------------ | -------- |
| Fees entered mempool 1 minute | mempool\_fee\_entered\_1m | Native units | 1m       |

**Methodology**

The mempool is evaluated and the fees attached to all transactions that have been entered (new transactions broadcasted by users) in the previous 1-minute interval are counted.

**Available Assets**

Bitcoin (BTC)

**Sample Query**

{% embed url="<https://api.coinmetrics.io/v4/timeseries/asset-metrics?api_key=%3Cyour_key%3E&assets=btc&frequency=1m&limit_per_asset=1&metrics=mempool_fee_entered_1m&pretty=true>" %}

## Mempool Fees Mean <a href="#mempool_fee_mean" id="mempool_fee_mean"></a>

**Definition**

The mean value of all mempool transaction fees at a point in time in native units.

**Dictionary**

| Name              | MetricID           | Unit         | Interval |
| ----------------- | ------------------ | ------------ | -------- |
| Mempool Fees Mean | mempool\_fee\_mean | Native units | 1m       |

**Methodology**

The mempool is evaluated and all transactions indexed. The mean value of all transaction fees within these unprocessed transactions is then calculated.

**Available Assets**

Bitcoin (BTC)

**Sample Query**

{% embed url="<https://api.coinmetrics.io/v4/timeseries/asset-metrics?api_key=%3Cyour_key%3E&assets=btc&frequency=1m&limit_per_asset=1&metrics=mempool_fee_mean&pretty=true>" %}

## Mean Fees Entered Mempool 1 minute <a href="#mempool_fee_mean_entered" id="mempool_fee_mean_entered"></a>

**Definition**

The mean value of the fees paid for all transactions entering the mempool over the course of a 1-minute aggregation window. The beginning of this time window is noted in the “time” field of the response.

**Dictionary**

| Name                               | MetricID                        | Unit         | Interval |
| ---------------------------------- | ------------------------------- | ------------ | -------- |
| Mean Fees entered mempool 1 minute | mempool\_fee\_mean\_entered\_1m | Native units | 1m       |

**Methodology**

The mempool is evaluated and the fees attached to all transactions that have been entered (new transactions broadcasted by users) in the previous 1-minute interval are aggregated. The statistical mean of these fees is then calculated.

**Available Assets**

Bitcoin (BTC)

**Sample Query**

{% embed url="<https://api.coinmetrics.io/v4/timeseries/asset-metrics?api_key=%3Cyour_key%3E&assets=btc&frequency=1m&limit_per_asset=1&metrics=mempool_fee_mean_entered_1m&pretty=true>" %}

## Mempool Fees Median <a href="#mempool_fee_median" id="mempool_fee_median"></a>

**Definition**

The median value of all mempool transaction fees at a point in time in native units.

**Dictionary**

| Name                | MetricID             | Unit         | Interval |
| ------------------- | -------------------- | ------------ | -------- |
| Mempool Fees Median | mempool\_fee\_median | Native units | 1m       |

**Methodology**

The mempool is evaluated and all transactions indexed. The median value of all transaction fees within these unprocessed transactions is then calculated.

**Available Assets**

Bitcoin (BTC)

**Sample Query**

{% embed url="<https://api.coinmetrics.io/v4/timeseries/asset-metrics?api_key=%3Cyour_key%3E&assets=btc&frequency=1m&limit_per_asset=1&metrics=mempool_fee_median&pretty=true>" %}

## API Endpoints

Fees metrics can be accessed using these endpoints:`timeseries/asset-metrics`and by passing in the metric ID's `mempool_fee*` in the `metrics` parameter.

{% openapi src="/files/kc3C7O6zTLYNBA0AcsZt" path="/timeseries/asset-metrics" method="get" %}
[openapi.yaml](https://2398817338-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2F-MO23j33wWGzm0NrZseN%2Fuploads%2Fgit-blob-a236d0d04b3b155748ce07a17aca8108fce9b7c2%2Fopenapi.yaml?alt=media)
{% endopenapi %}

{% tabs %}
{% tab title="Shell" %}

```shell
curl --compressed "https://api.coinmetrics.io/v4/timeseries/asset-metrics?metrics=mempool_fee&assets=btc&frequency=1m&pretty=true&api_key=<your_key>"
```

{% endtab %}

{% tab title="Python" %}

```python
import requests
response = requests.get('https://api.coinmetrics.io/v4/timeseries/asset-metrics?metrics=mempool_fee&assets=btc&frequency=1m&pretty=true&api_key=<your_key>').json()
print(response)
```

{% endtab %}

{% tab title="Python Client" %}

```python
from coinmetrics.api_client import CoinMetricsClient

api_key = "<API_KEY>"
client = CoinMetricsClient(api_key)

print(
    client.get_asset_metrics(
        metrics="mempool_fee", 
        assets="btc",
    ).to_dataframe()
)
```

{% endtab %}
{% endtabs %}


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