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Bid-ask spread (aggregation)

What is this endpoint for?

This endpoint returns the following metrics, averaged for the requested period.

  • Bid volume

  • Ask volume

  • Bid-ask spread

  • Price Slippage

We are unable to collect the full 10% snapshot from all exchanges we cover. Thus, for some exchanges, 'Market Depth' does not accurately portray the exchange's order book volume.

Endpoint

Path Parameters

Parameter
Required?
Description

Query Parameters

Parameter
Required
Description

Fields

Field
Description

Request examples

Response example

sort

No

Return the data in ascending asc or descending desc order. Default desc Automatically included in continuation tokens.

start_time

No

Starting time in ISO 8601 (inclusive). Automatically included in continuation tokens.

slippage

No

Order size (in quote asset) for which to calculate the percentage of slippage. Default: 0. When null is returned, not enough volume is present on the order book to execute the order.

slippage_ref

No

Price point for which to calculate slippage from. Either from the mid price (mid_price) or from the best bid/ask (best). Default: mid_price.

bid_slippage

The average percentage of price slippage for a market sell order over a specified interval.

region

Yes

Choose between eu and us.

exchange

Yes

Exchange code.

See Exchange codes

instrument_class

Yes

Instrument class. See Exchange trading pair codes (instruments)

instrument

Yes

end_time

No

Ending time in ISO 8601 (exclusive). Automatically included in continuation tokens.

continuation_token

No

See Pagination

interval

No

The interval parameter is suffixed with s, m, h or d to specify seconds, minutes, hours or days, respectively. Any arbitrary value between one second and one day can be used, as long as it sums up to a maximum of 1 day. The suffixes are s (second), m (minute), h (hour) and d (day). Default 1h.

page_size

No

poll_timestamp

The timestamp at which the interval begins.

bid_volume_x

The average volume of bids placed within 0 and x% of the best bid over a specified interval.

ask_volume_x

The average volume of asks placed within 0 and x% of the best ask over a specified interval.

spread

The average difference between the best bid and the best ask over a specified interval.

mid_price

The average mid price between the best bid and the best ask over a specified interval

ask_slippage

The average percentage of price slippage for a market buy order over a specified interval.

Instrument code. See

Number of snapshots to return data for. (default: 10, max: 100). See Automatically included in continuation tokens.

https://us.market-api.kaiko.io/v2/data/order_book_snapshots.v1/exchanges/{exchange}/{instrument_class}/{instrument}/ob_aggregations/full
curl --compressed -H 'Accept: application/json' -H 'X-Api-Key: <client-api-key>' \
  'https://us.market-api.kaiko.io/v2/data/order_book_snapshots.v1/exchanges/krkn/spot/btc-usd/ob_aggregations/full?page_size=10&slippage=100000&interval=1h&start_time=2019-12-04T00:00:00Z&end_time=2019-12-06T00:00:00Z'
##### 1. Import dependencies #####
import requests
import pandas as pd

##### 2. Choose the value of the query's parameters #####
# ---- Required parameters ---- #
exchange = "krkn" 
instrument_class = "spot"
pair = "btc-usd" #called "instrument" in the documentation

# ---- Optional parameters ---- #
sort = "desc"
page_size = 100
start_time= "2025-03-03T00:00:00Z"
end_time= "2025-03-05T00:00:00Z"

# ---- API key configuration ---- #
api_key = "YOUR_API_KEY"

##### 3. Get the data #####
# ---- Function to run an API call ---- # 
# Get the data in a dataframe --------- # 

def get_kaiko_data(api_key: str, exchange: str, pair: str, instrument_class: str, start_time: str, end_time: str, sort: str, page_size: int):
    headers = {'Accept': 'application/json', 'X-Api-Key': api_key}
    
    url = f'https://us.market-api.kaiko.io/v2/data/order_book_snapshots.v1/exchanges/{exchange}/{instrument_class}/{pair}/snapshots/slippage'
    params = {
        "start_time": start_time,
        "end_time": end_time,
        "sort": sort,
        "page_size": page_size
    }

    try:
        res = requests.get(url, headers=headers, params=params)
        res.raise_for_status() 
        data = res.json()
        if 'data' not in data:
            print("No data returned.")
            return pd.DataFrame() 
        df = pd.DataFrame(data['data'])

        # Handle pagination with continuation token
        while 'next_url' in data:
            next_url = data['next_url']
            if next_url is None:
                break
            res = requests.get(next_url, headers=headers)
            res.raise_for_status()
            data = res.json()
            if 'data' in data:
                df = pd.concat([df, pd.DataFrame(data['data'])], ignore_index=True)
        return df

    except requests.exceptions.RequestException as e:
        print(f"API request error: {e}")
        return pd.DataFrame() 

# ---- Get the data ---- #
df = get_kaiko_data(api_key=api_key, exchange=exchange, pair=pair, instrument_class=instrument_class, start_time=start_time, end_time=end_time ,sort=sort, page_size=int(page_size))
{
    "query": {
        "page_size": 10,
        "exchange": "krkn",
        "instrument_class": "spot",
        "instrument": "btc-usd",
        "interval": "1h",
        "slippage": 100000,
        "slippage_ref": "mid_price",
        "sort": "desc",
        "aggregation": "full",
        "data_version": "v1",
        "commodity": "order_book_snapshots",
        "request_time": "2020-05-26T14:46:00.561Z"
    },
    "time": "2020-05-26T14:46:03.776Z",
    "timestamp": 1590504363776,
    "data": [
        {
            "poll_timestamp": 1590501600000,
            "ask_slippage": "0.00032766083806437735",
            "bid_slippage": "0.0002206511273162024",
            "bid_volume0_1": "31.751239130434783",
            "bid_volume0_2": "87.33763043478261",
            "bid_volume0_3": "139.32403260869566",
            "bid_volume0_4": "177.62314130434783",
            "bid_volume0_5": "206.71984782608695",
            "bid_volume0_6": "251.4888043478261",
            "bid_volume0_7": "287.1503043478261",
            "bid_volume0_8": "317.3515869565217",
            "bid_volume0_9": "335.79671739130436",
            "bid_volume1": "352.03117391304346",
            "bid_volume1_5": "419.0988260869565",
            "bid_volume2": "470.6285",
            "bid_volume4": "859.7884347826086",
            "bid_volume6": "1134.0595760869564",
            "bid_volume8": "1134.4657173913045",
            "bid_volume10": "1134.4657173913045",
            "ask_volume0_1": "21.558043478260867",
            "ask_volume0_2": "37.20532608695652",
            "ask_volume0_3": "78.02648913043478",
            "ask_volume0_4": "143.83753260869565",
            "ask_volume0_5": "192.98572826086954",
            "ask_volume0_6": "235.31961956521738",
            "ask_volume0_7": "280.5659565217391",
            "ask_volume0_8": "309.4857717391304",
            "ask_volume0_9": "327.8923152173913",
            "ask_volume1": "341.79707608695657",
            "ask_volume1_5": "411.3568043478261",
            "ask_volume2": "475.6048586956521",
            "ask_volume4": "885.1007826086956",
            "ask_volume6": "1263.1216413043478",
            "ask_volume8": "1364.2838369565218",
            "ask_volume10": "1364.2838369565218",
            "mid_price": "8830.427717391303",
            "spread": "1.175"
        }
      /* ... */
    ],
    "result": "success",
    "access": {
        "access_range": {
            "start_timestamp": null,
            "end_timestamp": null
        },
        "data_range": {
            "start_timestamp": null,
            "end_timestamp": null
        }
    }
}
Exchange trading pair codes (instruments)
Pagination

"Snapshots" show a point-in-time view generated every 30 seconds, whereas "aggregations" show an aggregation of all 30-second snapshots from the period requested.